Speaker 1: All media.
Speaker 2: Hey everybody, Robert Evans here, and I wanted to let
Speaker 2: you know this is a compilation episode. So every episode
Speaker 2: of the week that just happened is here in one
Speaker 2: convenient and with somewhat less ads package for you to
Speaker 2: listen to in a long stretch if you want. If
Speaker 2: you've been listening to the episodes every day this week,
Speaker 2: there's going to be nothing new here for you, but
Speaker 2: you can make your own decisions.
Speaker 3: Hi.
Speaker 4: Everyone, it's James coming at you. We're pretty nasty cold here.
Speaker 4: I wanted to share with you that Wildfast has swept
Speaker 4: through Los Angeles in the last couple of days. While
Speaker 4: I'm recording this. Thousands of people have been displaced. Five
Speaker 4: people have died that we know of so far, thousands
Speaker 4: of structures have been burned, and many many people in
Speaker 4: I will be finding themselves out of their homes with
Speaker 4: nowhere to go, with very few resources. If you'd like
Speaker 4: to help, We've come up with some mutual aid groups
Speaker 4: who you can donate to, and we'll be interviewing one
Speaker 4: of them on this show next week. So if you
Speaker 4: like to help, the three places where we suggest you
Speaker 4: would donate some cash, The Sidewalk Project, that's the Sidewalk
Speaker 4: Project dot org K Town for All. That's that's a
Speaker 4: K T O W N F O R A L
Speaker 4: L dot O r G and ETNA Street Solidarity. You
Speaker 4: can find them on Venmo or I think on Instagram
Speaker 4: as well. That's a E T N A S T
Speaker 4: R E E T S O L I D A
Speaker 4: R I T Y.
Speaker 2: All right, I'm gonna go rest my voice order in
Speaker 2: the court order in the court Justice Robert Evans presiding,
Speaker 2: I see we have a fine jury here to take
Speaker 2: questions from the audience of our of our daily news show,
Speaker 2: which is also my court room. Everybody, everybody get it,
Speaker 2: because I'm a judge now, really, because that's how the
Speaker 2: legal system works.
Speaker 5: All those rubers finally have true.
Speaker 2: No municipal Judge Garrison.
Speaker 5: That's okay, okay, that's get You're right, You're right, You're
Speaker 5: right here.
Speaker 2: I will now for the rest of my life be
Speaker 2: able to say when people ask questions, well as a
Speaker 2: man of the law, which I'm very much looking forward to.
Speaker 4: No, only able to say, Robert quite likely.
Speaker 2: To say, anyway, that's all I got.
Speaker 1: All right, this is the it could happen here. A
Speaker 1: Q and A episode. We've got what what are we
Speaker 1: calling you now? Robert Evans? What's your title?
Speaker 2: The Honorable Robert Evans and I I actually all the
Speaker 2: judge who made me a judge sent me a gabble,
Speaker 2: but I didn't grab it for this one. So I
Speaker 2: just used I have a the the barrel and lower
Speaker 2: receiver from an antique sought off shotgun that belonged to
Speaker 2: a bootlegger, and I just sort of slammed that into
Speaker 2: my table.
Speaker 5: I'm sure editor will love that.
Speaker 4: Yeah, yeah, but before we broadcast, so you have a
Speaker 4: sort of shotgun.
Speaker 2: It's not a it's not functional, it's been destroyed.
Speaker 4: I see, I see good. Didn't want a little really
Speaker 4: rich moment.
Speaker 1: Yeah, we've got Mio Wong, Garrison Davis, James Stout and
Speaker 1: the dishonorable Robert Evans.
Speaker 5: And Sophie Lickterman. Oh yes, it mean yeah, we're.
Speaker 1: Gonna do the We're gonna do some questions we posted
Speaker 1: in on our Blue Sky. If you not following us
Speaker 1: on Blue Sky, we are on there.
Speaker 2: Blue Ski one does not post on Blue Sky. So
Speaker 2: if you want.
Speaker 1: Skeets, I really hope that's not true, because that's really.
Speaker 2: Embarrassing Unfortunately, they really tried to get that off the ground.
Speaker 2: I don't see anyone actually using skeat.
Speaker 4: I saw someone using it in French and it was
Speaker 4: a real moment. Hi are you Garrison.
Speaker 5: Instead of saying send a tweet, now, I just say
Speaker 5: send skeet in conversation. Everyone loves it. M hm.
Speaker 2: Do you re skeet? Is that a thing? Yeah?
Speaker 5: I guess you do. I guess you do, mm hm.
Speaker 1: And we're moving on. I'm just gonna throw out some
Speaker 1: of the questions we received on online. I'm not even
Speaker 1: gonna say the name of the app again because I'm
Speaker 1: afraid being labeled as an old Garrison's embarrassed by me.
Speaker 1: I can tell I didn't say that, but you thought it.
Speaker 5: But you thought it. I didn't think that you did.
Speaker 1: Any advice for someone with a desire to do some
Speaker 1: hobby or freelance journalism in the coming few years, I
Speaker 1: want to actively fight for equality. Also, thank you for
Speaker 1: your questions. Everyone.
Speaker 2: Hm, I don't thank you for your questions. I'm actively
Speaker 2: angry at you for your question.
Speaker 1: Yeah, that's why you're the dishonorable.
Speaker 4: Yeah, start rich if you want to be a freelance journalist.
Speaker 4: Because you'll progressively become poorer.
Speaker 2: It's my I have funded my journal I get I
Speaker 2: love whatever people ask me questions like how did you
Speaker 2: convince Krack to send you to Iraq? I didn't. I
Speaker 2: bought plane tickets, Like being an entertainer has always been
Speaker 2: what's funded my journalism.
Speaker 5: I guess my advice would be get really autistic about
Speaker 5: something problematic, just like one thing, this one thing I
Speaker 5: get like RELLI into it to the point where it
Speaker 5: kind of takes over your life. Your personal life starts
Speaker 5: fading away, it kind of blends into your whole state
Speaker 5: of existence. And only then will you actually get good
Speaker 5: at that thing. Yep, that's my advice. And then you
Speaker 5: just take one thing at a time and every few
Speaker 5: years you kind of change the scope of the thing
Speaker 5: you're getting really autistic about. But that's kind of how
Speaker 5: I've rolled, and it's been it's been okay.
Speaker 2: Yeah, you just finished thirty six hours of digging into
Speaker 2: the life of a school shooter. And I also built
Speaker 2: the back of my career spending hours and hours digging
Speaker 2: through the online lives of mass shooters. And you don't
Speaker 2: have to do that, but you do have to do
Speaker 2: that thing, which is Yeah, exactly what Garrison said. You
Speaker 2: have to pick a very narrow thing and make it
Speaker 2: your life, and not just a random thing, but like
Speaker 2: a thing that you think is important. Yeah, and that
Speaker 2: people don't other people don't understand how important it is.
Speaker 2: And if you make yourself there's a fella. His blog
Speaker 2: is called We Hunted the Mammoth. They've Futrell who's been
Speaker 2: covering what we call the manosphere for like more than
Speaker 2: a decade before anybody else in journalism was taking it seriously. Yep,
Speaker 2: you got to do that kind of thing. If you
Speaker 2: do that kind of thing, you build a name for yourself,
Speaker 2: and that can allow you when that the thing that
Speaker 2: you're obsessed on becomes a big story, being first to
Speaker 2: have something meaningful to say about it can provide you
Speaker 2: eventually with the opportunity to cover other things. Yeah, and
Speaker 2: it's good advice.
Speaker 4: I would say if you want to get started freelancing,
Speaker 4: it's a good idea to join that IWW Freelance Journalist Union.
Speaker 4: You can learn a lot from people who are freelancing there.
Speaker 4: You can learn who not to pitch, which editors are
Speaker 4: toxic as fuck, which is a surprisingly large amount. Yeah,
Speaker 4: you can learn which email to send your pitches to
Speaker 4: and how to pitch if you're not familiar with how
Speaker 4: to pitch. I also teach sometimes journalism workshops at a
Speaker 4: community college, So if you have a community college near you,
Speaker 4: you might be able to get some either free or
Speaker 4: very cheap sort of advice and the real like nuts
Speaker 4: and bolts of journalism like ending pitches and stuff like that.
Speaker 2: Cool.
Speaker 1: What is the consensus on what the next Trump administration
Speaker 1: will do? On the first day or first week, all
Speaker 1: of us just look like we're in pain.
Speaker 5: Oh fus like it's chaos of the Yeah.
Speaker 2: I'm not.
Speaker 5: I'm not for seeing good things. There'll be a lot
Speaker 5: of executive orders that are you know, probably bad, you know,
Speaker 5: things that aren't great.
Speaker 2: Yeah, I think that, Uh, he's going to try to
Speaker 2: do as much of what he's promised to do in
Speaker 2: terms of particular not in terms of everything he's prounded,
Speaker 2: but in terms of going after immigrants. Yeah, he's going
Speaker 2: to do as much of what he's promised to do
Speaker 2: as he possibly can't. Now that doesn't mean he's going
Speaker 2: to actually deport millions of people. There are like some
Speaker 2: just practical limitations based on the capacity of the institutions
Speaker 2: will be using to do this and he could get
Speaker 2: there's a very good chance things will get bogged down
Speaker 2: and whatnot, but like he will try. Yeah, that's my take. Yeah,
Speaker 2: I think.
Speaker 6: I think the other thing that's going to happen pretty
Speaker 6: quickly is I think he's gonna start moving on tariffs
Speaker 6: very very fast.
Speaker 2: Yeah. If you're planning to buy a computer, go ahead
Speaker 2: and grab that fucker now if you can.
Speaker 5: If you're getting anything from overseas, you should get it
Speaker 5: in the few weeks that you still can.
Speaker 2: Yeah, it has a battery.
Speaker 3: It made here.
Speaker 1: I had my annual physical today because otherwise our insurance
Speaker 1: screws us over. And my doctor was like, you should
Speaker 1: try to get as many prescriptions filled before the end
Speaker 1: of the year before things come up, just in case.
Speaker 1: There you go, and you know that's not terrible advice.
Speaker 3: Yeah.
Speaker 4: I think in terms of executive orders, he will try
Speaker 4: and further restrict access to asylum, try and further change that.
Speaker 4: There are things he can do by executive order with
Speaker 4: ICE and CBP in terms of how they operate that
Speaker 4: he will try and do. It's not impossible that they
Speaker 4: will try and again immediately mobilize public health law against
Speaker 4: migrants like he did in twenty twenty. Right, Yeah, those
Speaker 4: things could all be done without congressional support. We might
Speaker 4: hope on us about this, but Stephen Miller suggested that
Speaker 4: they might do some of those things.
Speaker 2: So, yeah, not impossible. Party won't be a great day.
Speaker 1: Somebody's getting fired the first week, probably first day.
Speaker 2: Yeah. I mean, I've seen the fact that the FBI
Speaker 2: director is stepping down pushed as like an act of
Speaker 2: resistance because it means that Trump now has to actually
Speaker 2: go through like Congress to get it done. I don't
Speaker 2: know if how much I buy that, how much I
Speaker 2: think that. I think a lot of what I'm seeing
Speaker 2: right now from establishment people. And maybe this isn't true
Speaker 2: of Ray because I did find some of the arguments
Speaker 2: they're compelling, But a lot of what I've seen from
Speaker 2: establishment people in politics is they're scared and just really
Speaker 2: try and not to make waves. Yeah, and I think
Speaker 2: that's what you're going to see overwhelmingly. I think that
Speaker 2: he's going to probably will not immediately act against the press,
Speaker 2: and in a legal sense, as the president, they will
Speaker 2: do that, but I think he's going to He's already
Speaker 2: suing differently and I think that that's going to be
Speaker 2: kind of his his focus there for a while, just
Speaker 2: because there's a lot on his plate. But I think
Speaker 2: here there will be attempts like the fuck with libel
Speaker 2: laws and stuff, especially as things go on.
Speaker 1: Okay, several of you have asked about the Android ad
Speaker 1: free version subscription channel, and I want you all to
Speaker 1: know that it will happen next year. I have been
Speaker 1: trying to get this to happen for two years now,
Speaker 1: and for unforeseen reasons, it just keeps getting roadblocked. But
Speaker 1: it is happening. We're just waiting on a couple of
Speaker 1: final things to get into place, so that will be happening,
Speaker 1: hopefully very soon into twenty twenty five. I will update
Speaker 1: everybody as soon as that's possible. And I'm so sorry
Speaker 1: it's taken so long. I want you to know I
Speaker 1: have worked so unbelievably hard on this, miserably hard.
Speaker 2: Yeah, we've seen it, Sophie has. It's been a nightmare,
Speaker 2: Harder than I have worked on anything else this year. Like,
Speaker 2: it's been nuts. Yeah, And here's the thing that sucks
Speaker 2: for no reason, no reason, but not that there's no
Speaker 2: reason to launch the app. There's a great reason. There's
Speaker 2: no reason it should have taken this long. Correct, But
Speaker 2: we can't say anymore for reasons that are also equally frustrating.
Speaker 2: I'd like to say in general, folks, there's a few
Speaker 2: things that get brought up a lot. It's like, why
Speaker 2: haven't they done this yet? Why haven't they done this yet?
Speaker 2: We're talking like technical things or like you know, things
Speaker 2: like a like a paid subscription, and they're like, why
Speaker 2: haven't they gotten around to it yet? And the answer
Speaker 2: is always some infuriating bullshit based.
Speaker 1: On some bureaucracy bullshit.
Speaker 2: Some be rock some legal shit where you're like, you
Speaker 2: don't actually realize it's illegal to do this if you
Speaker 2: do it this way or whatever, like some sort of
Speaker 2: bullshit that makes it impossible. It's not that we want
Speaker 2: to make this is it is as possible for people
Speaker 2: to have the best listening experience that we can afford
Speaker 2: to provide them. But there's a lot of annoying bullshit
Speaker 2: that exists for reasons beyond our comprehension.
Speaker 1: Sorry, anyways, here's ads. Unless you have an iPhone and
Speaker 1: subscribe to color Zone Media on Apple. All right, we're back.
Speaker 1: How do you each motivate yourself to write or do
Speaker 1: your jobs. I get asked that question all the time,
Speaker 1: but I'll let each of you tackle it. While this
Speaker 1: is a communally hosted show, I feel like each of
Speaker 1: you do very different things, so your answers are going
Speaker 1: to be all over the place. So Garrison, Oh.
Speaker 5: Well, I mean paying rents a great motivator.
Speaker 2: Sure, yes, yes, understated, this is a big thing that
Speaker 2: a lot of people who want to be writers but
Speaker 2: have never done it for a living. Miss is that
Speaker 2: all of your favorite writers who do it for a living,
Speaker 2: a big part of how they get over fucking writer's
Speaker 2: block is they have to pay rent or mortgage. Yeah,
Speaker 2: it turns out that helps.
Speaker 5: It's it's it's a quite compelling motivator, and sometimes it
Speaker 5: has required the assistance of you know, caffeine or other things.
Speaker 5: I have a variety of playlists to help me in
Speaker 5: when I'm in like different moods. I definitely will about
Speaker 5: you know, maybe twice a month, I just do a complete,
Speaker 5: like a complete body check to my sleep schedule to
Speaker 5: get a special project finished. And that's just kind of
Speaker 5: part of the deal, at least in terms of how
Speaker 5: I work, and not everyone does it this way. Though
Speaker 5: maybe maybe people are more healthy than me.
Speaker 2: Yeah for me.
Speaker 6: Okay, So the easiest way something gets done is just
Speaker 6: pure rage. I can just do it like.
Speaker 2: It just comes out. The anger is a great motivator.
Speaker 6: The other fun one is pure joy as something funny happening,
Speaker 6: Like this is the shinzo Abe assassination. The easiest writing
Speaker 6: I've ever done in my lifetimes.
Speaker 2: It just flows.
Speaker 7: Yeah.
Speaker 6: Other times it's just like there's a deadline and everyone
Speaker 6: is counting on me, and I have to get it out,
Speaker 6: and I've gotten to the right level of sleep deprivation
Speaker 6: where I can just do it.
Speaker 5: That's right, That's right.
Speaker 2: Yeah.
Speaker 6: But I also think, you know, there's obviously like health insurance,
Speaker 6: which is sort of a joke given our health insurance.
Speaker 6: But yeah, and then the last thing, and this is
Speaker 6: the sort of the serious one, is that like this,
Speaker 6: you know, I mean I do some organizing stuff too,
Speaker 6: but like this, this is the thing that I have
Speaker 6: to do that can materially affect the world. Which is
Speaker 6: a very very weird thing to say about a podcast.
Speaker 6: But I've seen it happen, right, I've seen all of
Speaker 6: you go and do things that wouldn't have happened and
Speaker 6: I've had. You know, it's a weird situation, right because
Speaker 6: my my motivation for doing this stuff is the chance
Speaker 6: that you will make the world better. But I've seen
Speaker 6: it happen, and I have to continue to believe that
Speaker 6: the thing that I've been doing for all these years
Speaker 6: is project of building a very large hammer and deploying
Speaker 6: it against our enemies can work and will work. And
Speaker 6: that is you know, that's how I get out of
Speaker 6: bed every morning, is we're building the hammer and we're
Speaker 6: swinging it.
Speaker 2: Yeah, that's a great way to put it.
Speaker 4: Very large hammer will be a banging name for a podcast.
Speaker 1: I agree, Yeah, I agree.
Speaker 2: Yeah, there's a there's a great speech in the comic
Speaker 2: series trans Metropolitan about how journalism is a gun that
Speaker 2: you you wire up to your eyes and your ears
Speaker 2: and several other organs in order to shoot at the world.
Speaker 2: And that's I think a good way to keep yourself
Speaker 2: doing it when it feels like you're just shouting into
Speaker 2: a void.
Speaker 8: Yeah.
Speaker 2: I really like the process of writing.
Speaker 4: I like telling stories like that makes me happy and
Speaker 4: I feel.
Speaker 2: So lucky I can do it for my job.
Speaker 4: I don't ticularly like like receiving trauma, which I also
Speaker 4: do for yob but.
Speaker 2: Like, really it can be sometimes I can't sleep.
Speaker 4: So many people trusted me with their stories, especially this year,
Speaker 4: that they didn't have to and sometimes a great personal risk,
Speaker 4: and it's a massive privilege that they trusted me with
Speaker 4: those stories, and I think I owe it to them
Speaker 4: to do my best to tell those stories as well
Speaker 4: as I can. Yeah, and like as Mia said, it
Speaker 4: has materially changed the world, like the amount of people
Speaker 4: who listened to our podcasts and came to the border
Speaker 4: to help last year when we really desperately needed help,
Speaker 4: people who just like on Sunday Night, gave their money,
Speaker 4: which I know none of us have enough money right
Speaker 4: now to help people who are displaced in Rushaba. Like
Speaker 4: all that stuff really makes it feel like if you
Speaker 4: tell a good enough story, people will care. That's always
Speaker 4: what I felt like, if you could just get people
Speaker 4: to see it, if people could be there, they would care,
Speaker 4: and if they care enough, they'll do something. Then I've
Speaker 4: seen that be true with people who listen to the show,
Speaker 4: and that really makes me happy, So I want to
Speaker 4: keep doing that.
Speaker 1: Yeah, for me, it's two part answer. The first part
Speaker 1: is that I genuinely give a shit about everything that
Speaker 1: we put out and what we do is not really
Speaker 1: while it is a job, it matters so much. And
Speaker 1: the second part is if I don't do my job,
Speaker 1: the amount of people's lives that that impacts is a
Speaker 1: lot of fucking people, and I give a shit about
Speaker 1: each and every one of them. So I'm gonna keep
Speaker 1: doing my job so that everybody else can keep doing
Speaker 1: their job and maybe we make a difference in this world,
Speaker 1: this fucked up, crumbly world. Robert, did you have anything
Speaker 1: to add? You were speaking and then nice talked, I.
Speaker 2: Have did I already not give an answer?
Speaker 1: You gave an answer, that's why, but you were starting
Speaker 1: to speak.
Speaker 2: Oh yeah, I do it for the fame, baby.
Speaker 1: Great. Next, What episode or episodes were your favorite this
Speaker 1: year to make or otherwise?
Speaker 4: Yeah?
Speaker 1: My favorite this year We're definitely James's series from the
Speaker 1: Darien Gap. That was an incredible series. I'm so unbelievably
Speaker 1: proud of it. Yeah, James had been trying to do
Speaker 1: that work for a long time, and I'm I'm happy
Speaker 1: that we were able to fund it and James was
Speaker 1: able to do the incredible reporting that he did. I'm
Speaker 1: also quite proud of Robert Garrison and I surviving the
Speaker 1: RNC and d n C and C.
Speaker 2: Was a good time, like legitimately.
Speaker 1: Great time, pulling the worst people in the world.
Speaker 2: It was the d n C that fucked me up. Yeah, yeah, same.
Speaker 5: I was like destroyed emotionally after the d see.
Speaker 1: Yeah, the DNC was really a huge bummer. And then
Speaker 1: MIAs covered some of the most important labor stories that
Speaker 1: like nobody covers absolutely yeah, and like without those genuinely
Speaker 1: like nobody covers like small labor stories or big labor stories,
Speaker 1: and she's always on top of that beat. And yeah,
Speaker 1: I also really just like Robert's don't Panic episode something
Speaker 1: some great writing, my friend, I answered, Now everybody else
Speaker 1: has to, Well, I'll start with Miyah.
Speaker 6: There's weirdly a few this year cool I normally isn't
Speaker 6: I like the Boeing ones that was fun.
Speaker 5: Yeah.
Speaker 6: The one that was most emotionally impactful for me was
Speaker 6: getting to interview doctor Julia Serrano, who if you haven't
Speaker 6: listened to that episode, go listen to it.
Speaker 1: Great book.
Speaker 6: Yeah, Whipping Girl is the book that literally created a
Speaker 6: bunch of the like like the concept of misgendering is
Speaker 6: from that book, right, Like like the language that we
Speaker 6: used to talk about Transnist today is directly her and
Speaker 6: so few people who ever read the book, so a
Speaker 6: few people even know who she is, and getting a
Speaker 6: chance to talk to her was like incredible. And I'm
Speaker 6: also really happy about the organizing one that I did,
Speaker 6: because I've gotten so many messages from people who were
Speaker 6: just like, I, oh, wait, my knitting is useful to organizing,
Speaker 6: And I'm like, yes, yes it is, you're knitting. You're
Speaker 6: so incredible, staggeringly useful.
Speaker 2: Yeah, so I'm proud of that one.
Speaker 1: Yeah, let's take a quick break then, Garrison, Robert James,
Speaker 1: you can answer that question and we're back. James, how
Speaker 1: about you.
Speaker 4: I'm proud of doing the Darien ones. I think, like,
Speaker 4: I'm so happy that we finally got to a place
Speaker 4: where like we could do that, where we could fund that,
Speaker 4: Like I've been trying to do that, like I said,
Speaker 4: for nearly.
Speaker 2: A decade, and.
Speaker 4: Yeah, it's been hard, and it continues to be hard,
Speaker 4: like one of the people you heard from in those
Speaker 4: episodes got deported last week then, so like it continues
Speaker 4: to kind of be emotionally difficult. But I really liked
Speaker 4: how many people messaged me and were like, I sent
Speaker 4: this to my father, uncle, not just dudes aunts and
Speaker 4: their mum's too, I'm sure, and think non binary relatives,
Speaker 4: but like, well maybe not because they sent it to
Speaker 4: their right wing relatives and they like learned some compassion.
Speaker 4: That's always what you want to do, Like I said before,
Speaker 4: you want people to see it so that they care
Speaker 4: and so they understand it and they don't just get
Speaker 4: this stupid Fox News bullshit racism stuff, and.
Speaker 2: So yeah, that may be really happy.
Speaker 4: The reason we're all different on this, by the way,
Speaker 4: is because we have not done a Come twenty twenty
Speaker 4: four episode, and if we had, this would have been
Speaker 4: a much much shorter segment.
Speaker 2: James, let me just tell you, I think we can
Speaker 2: all look forward to all white Christmas this year.
Speaker 1: Jesus mother.
Speaker 2: Set him up. It's my own fault.
Speaker 5: Wow, I guess I'll go now. I'll just short clean
Speaker 5: out the aftertaste of that.
Speaker 2: So it's worse.
Speaker 5: I think I started out pretty strong with police drones,
Speaker 5: even more topical as we record this now as New
Speaker 5: Jersey is about to get completely abducted I think by
Speaker 5: alien aircraft.
Speaker 2: Yeah, there's no one left in New Jersey.
Speaker 5: Now they've all been taken away by all these unidentified drone.
Speaker 2: That actually happened three days ago. It just took a
Speaker 2: long time for the rest of the country to notice
Speaker 2: or care. Breece Springsteen hasn't made a song about it.
Speaker 2: We have no way of known.
Speaker 5: Besides the mass hysteria of the New Jersey drone panic.
Speaker 5: Police drones are a real problem, and those are going
Speaker 5: to be increasingly so. I was happy with my porting
Speaker 5: on that at CES, and then I guess I mean
Speaker 5: to echo Sophie. I had a great time at the RNC.
Speaker 5: It's fun, a sentence I never thought I would say, yeah,
Speaker 5: And particularly the R and C Grinder episode, I still
Speaker 5: think is Bruce pretty is pretty good.
Speaker 1: It's pretty great. The amount of places that Garrison and
Speaker 1: I snuck into at the rn C a time.
Speaker 5: It was really dangerous too, because I was having to
Speaker 5: like do my RNC research next to Robert and Sophie
Speaker 5: the whole time, and oh boy, it's like a minefield
Speaker 5: scrolling through.
Speaker 1: That app effects an experience, to say the least. Any
Speaker 1: thoughts on the proposed twenty twenty eight general strike, How
Speaker 1: are people feeling about that?
Speaker 6: I'll start with Mia, Yeah, I mean it's it's a
Speaker 6: pretty good idea, Like there's definitely sort of and I'm
Speaker 6: immediately going into this nacying a little bit. There's definitely
Speaker 6: problems with it. It's going to be extremely hard to
Speaker 6: execute because we just don't have a modern history of
Speaker 6: doing that in the US, and even some of the
Speaker 6: success so ones in the last decade that people have
Speaker 6: pulled off haven't been that effective. But on the other hand,
Speaker 6: as something that we you know, a concrete thing that
Speaker 6: we have to organize towards that has a bunch of
Speaker 6: like pretty large unions behind it. Already, I did an
Speaker 6: episode about that a few weeks ago. I don't know,
Speaker 6: a couple months ago. I don't remember when I did
Speaker 6: this episode. I'm sorry, I can't remember anything you've ever done.
Speaker 6: But I think I think it's a good opportunity to
Speaker 6: connect a whole bunch of different kinds of organizing together,
Speaker 6: both in terms of sort of labor and in terms
Speaker 6: of the support work you need for that. So yeah,
Speaker 6: cautiously optimistic.
Speaker 1: Anyone else have anything they want to add?
Speaker 5: The time to start figuring out those logistics, like is
Speaker 5: now it's it's not waiting till twenty twenty seven.
Speaker 2: Yeah, I agree, Garrison. I think that the fact that
Speaker 2: there are serious people who represent serious unions talking about
Speaker 2: it is part of way. It's one of the things
Speaker 2: that does give me a degree of hope. We're going
Speaker 2: to have to start working now towards it. It's not
Speaker 2: going to be so in any way, shape or form.
Speaker 2: If they see it coming, they are going to start
Speaker 2: trying to criminalize things preemptively. If it is something that
Speaker 2: even looks like a real possibility, they're going to come
Speaker 2: after it with everything they've got. And it's one of
Speaker 2: those things where maybe if the midterms go well for Democrats,
Speaker 2: maybe Democrats stop that, But it's just as plausible and
Speaker 2: probably more plausible, that Democrats line up with Republicans to
Speaker 2: attempt to criminalize something like that.
Speaker 4: Yeah, it's strained to be seeing something like this organized
Speaker 4: so far off like it.
Speaker 2: Yes, it's not something where any of us are familiar with,
Speaker 2: which it has to be to be clear. Yeah, yeah, Yeah,
Speaker 2: it has to.
Speaker 4: Be barring, like an actual coup. That's the only way
Speaker 4: you get a general strike, right like, either something so
Speaker 4: earth shattering that everyone so that everyone's ready to risk
Speaker 4: it because they're already in danger or yeah, you take
Speaker 4: the time when you plan that you do it properly.
Speaker 4: But it's just not something we're familiar with. I love
Speaker 4: the general strike. I'm always going to support a general strike.
Speaker 4: I'm excited to see a general strike. But yeah, we
Speaker 4: have to put in the work now.
Speaker 2: Yeah, the only responsible way to characterize the organized left
Speaker 2: in the United States is a complete and utter failure.
Speaker 2: Like it has been a calamity for the causes that
Speaker 2: it seeks to represent. And a lot of that is
Speaker 2: because of like fucking bullshit online clicktivism. You know, we're
Speaker 2: all going to do a general strike. Everybody, get ready
Speaker 2: next week, We're going to do it. You know, shit
Speaker 2: like that is. It's just so deeply unseerious. And if
Speaker 2: we're going to take the momentum and the energy that
Speaker 2: exists in the number of people who are angry and
Speaker 2: who you know, and that number of people will be
Speaker 2: increasing as the consequences of conservative policies hit home by
Speaker 2: twenty twenty eight, Like, it has to be something taken
Speaker 2: deadly seriously by very serious people who are thinking through
Speaker 2: the consequences and what's necessary in order to make this feasible.
Speaker 1: You know, and last, do each of you have you
Speaker 1: know a movie or a book or something you would
Speaker 1: like to recommend.
Speaker 4: In twenty twenty five, when I finished my books, you
Speaker 4: should buy it, yes, but.
Speaker 2: Read General Strike.
Speaker 4: I've been reading a book called Platentive, which is in English,
Speaker 4: but it's about how San Francisco doc workers block to
Speaker 4: shipment of weapons to El Salvador and it just seems
Speaker 4: a very relevant book. And they did it to Pinochet
Speaker 4: as well. It's easy to read and like. It just
Speaker 4: reminded me how important labor organizing is going to be
Speaker 4: in the next four years and how powerful it can
Speaker 4: be too. So I'll give that one a little plug.
Speaker 2: Excellent.
Speaker 4: There's a film called The End Will Be Spectacular which
Speaker 4: is about the Kurdish use movement in Northern Kurdistan in Turkey.
Speaker 4: It's a really good film. I think of understand to
Speaker 4: help you understand the Kurdish freedom movement, and it's worth
Speaker 4: a watch. It's not like a necessarily a happy, feel
Speaker 4: good film, but I think it's worth a watch. Fifty
Speaker 4: if you've recently become interested in that because of what
Speaker 4: you've heard on the podcast.
Speaker 6: Yeah, yeah, I have a couple, so I'm trans fiction pilled.
Speaker 6: Right now, you've given you fiction for trans authors.
Speaker 2: Would you say you're transfixed? Wow?
Speaker 5: I walked.
Speaker 6: I walked right into that one, like drove directly into it,
Speaker 6: like JFK's head into that bullet.
Speaker 5: Oh my god.
Speaker 2: Wow.
Speaker 1: We spent a lot of time with each other.
Speaker 2: Yeah.
Speaker 6: The first one I wanted to talk about is The
Speaker 6: gun Runner and Her Hound by Maria Ying, which is
Speaker 6: the pen name of a couple of authors. Okay, so
Speaker 6: it's this is a This is an absolutely unhinged lesbian
Speaker 6: book about a lesbian crime ward and here a do
Speaker 6: bodyguard who is also a lesbian, and it rules. Uh,
Speaker 6: there's a whole sort of like post apocalypse US thing
Speaker 6: going on, but they're still in like civilized Hong Kong.
Speaker 6: It's awesome, it's great. It's you need you need war
Speaker 6: on hinge lesbians in your life, go read this. The
Speaker 6: the other one is One of the Boys. This is
Speaker 6: Forthcoming is going to release May thirteen, twenty twenty five,
Speaker 6: by Victoria Zeller, and it's about a trans girl who's
Speaker 6: like the kicker on her football team and she has
Speaker 6: to like leave the team because she transitions, but then
Speaker 6: the team needs her back. They don't have a kicker,
Speaker 6: and it's it's fun, it's it's a good time, so
Speaker 6: you should get that when it comes out.
Speaker 2: Yeah. So I'm actually right now in the middle of
Speaker 2: a book that I found myself surprised by how much
Speaker 2: I've liked. It's called When Paris Went Dark, and it
Speaker 2: is a history of the occupation of Paris under the Nazis.
Speaker 2: That is a really fascinating social history by Ronald rose
Speaker 2: Bottom that I found very like, emotionally affecting, especially in
Speaker 2: light of, you know, some things going on, and yeah,
Speaker 2: just kind of a fascinating look at the psychology of
Speaker 2: a people, of like of a of an entire people
Speaker 2: kind of grappling with what's about to happen to them
Speaker 2: in the wake of the failure of the French army
Speaker 2: and then what happens next. And then I would also
Speaker 2: reckon Men Setting the Desert on Fire by James Barr,
Speaker 2: which is one of the books about te Lawrence that
Speaker 2: I cited in the Te Lawrence episodes. If you are
Speaker 2: at all interested in the realities of needing to fight
Speaker 2: an insurgent war.
Speaker 5: Here, I guess just two recent things I've enjoyed. Finally
Speaker 5: finished the Steppenwolf by Herman Hess. Yes, I enjoyed that deeply.
Speaker 5: It kind of it kind of my picked my twin
Speaker 5: Peaks the Return Brain. So that was that was pleasant
Speaker 5: for and for a more recent release, Luca Guardaghino's new
Speaker 5: movie Queer, adapting the short story by William S.
Speaker 2: Burrows.
Speaker 5: I found this movie to be utterly fascinating and transfixing,
Speaker 5: to use the term from me, Robert. I don't have
Speaker 5: much else to say about it because I would rather
Speaker 5: people just watch it and take away what they want
Speaker 5: to themselves. But it got me thinking a lot about
Speaker 5: the lack of meaning inherent to identity and why I
Speaker 5: hate the term queer bodies. So yeah, good.
Speaker 1: Movie, awesome. I just have one movie to recommend, and
Speaker 1: it's one of my favorite movies of all time, the
Speaker 1: original nineteen seventy three, seventy two, so seventy three, seventy three,
Speaker 1: The Wicker Man, not the fucking Nicholas Cage version, the
Speaker 1: original version. And if you have a local theater that
Speaker 1: plays old movies a lot of times, they'll play it
Speaker 1: in theaters, and I highly recommend that experience. It's really fun,
Speaker 1: especially at the end. I see it in theaters or
Speaker 1: watch it at least once or twice a year and
Speaker 1: vibes are good. Yeah, that's it for a Q and
Speaker 1: A episode. Thanks for submitting, and goodbye, Welcome to it
Speaker 1: could happen here. This is our twenty twenty five Predictions episode.
Speaker 1: We were starting to bicker off Bike about what we
Speaker 1: predicted last year, and I was talking about the things
Speaker 1: we predicted, and one of the things I predicted early on,
Speaker 1: I was like, I think Kim Kardashian will be part
Speaker 1: of the Trump cabinet, and like, honestly goals at this point,
Speaker 1: but I'm not that far off though, because essentially what
Speaker 1: he has done is he's basically tried to go for
Speaker 1: people that are good on TV. It's true, It's true,
Speaker 1: and like going off of that reality TV energy.
Speaker 4: Finally we will acknowledge the Armenian genocide.
Speaker 1: I was I was vibing, okay, James, I.
Speaker 4: Was vibing genocide.
Speaker 1: Just James, all right, Viba side God all right? Mia
Speaker 1: woggs here, I'm Bred Garrison's here, James Stout's here, and
Speaker 1: the dishonorable Robert Evans is also here.
Speaker 2: I judge that nickname bad Jesus Christ.
Speaker 5: Wow, let's let's go over some of our terrible twenty
Speaker 5: twenty four predictions just briefly. Now, Unfortunately there was a
Speaker 5: lot of election ones which were very sad to listen to.
Speaker 5: Oh no, now, we were correct about many things we did.
Speaker 5: We did talk about how Harris would probably be a
Speaker 5: really bad candidate to run against Trump. Totally forgot about that.
Speaker 2: We did. We did huge for us. Yeah, for the country.
Speaker 2: That brief period of time when Biden stepped down, it
Speaker 2: really felt like it might be I mean, she did
Speaker 2: better than he would have done. Yeah.
Speaker 5: Well, I think that's just because we were still just
Speaker 5: reeling from that debate, because so bad that like anything
Speaker 5: was like, oh my god, there's like a life.
Speaker 2: Look at how she can walk thirty forty feet at
Speaker 2: a time, exact exact sentence. Good God.
Speaker 5: None of us picked Vance specifically at that point in time,
Speaker 5: but we did pinpoint Trump's orbit and his like campaign
Speaker 5: like hmmm crew pretty well, like Mia predicted that RFK
Speaker 5: Junior could be a Trump VP pick, and though he
Speaker 5: didn't become VP, he essentially kind of took over the
Speaker 5: VP like campaigning role from Vans in.
Speaker 2: Like August Ye was so bad at it.
Speaker 5: We all decided that like Vivec was simply like way
Speaker 5: too loud and like obnoxious. So Trump would like find
Speaker 5: some other spot for him. Stand by that, And that's
Speaker 5: what happened. He's still in the orbit, but he's not
Speaker 5: super close. So if he talked about possibly Christine nome
Speaker 5: As is getting LinkedIn with Trump maybe for VP. Now
Speaker 5: that didn't happen for VP, but christineoam is in the cabinet.
Speaker 1: Good job passed me.
Speaker 5: Yeah, and Robert said that he would not be shocked
Speaker 5: if Trump got close with Tulca Gabbert and other less
Speaker 5: good predictions I predicted that a daily wire host would
Speaker 5: get unfortunately did not come to pass. There's still time.
Speaker 6: It's still twenty twenty fours, right.
Speaker 2: Not when this airs, not when this air.
Speaker 5: Yes, Kim Kardashian getting into politics didn't really happen, she
Speaker 5: kind of stated at her regular coast level. Sorry, Sophie
Speaker 5: so far.
Speaker 1: Trust me. She did all those things when Trump was
Speaker 1: elected the first time, where all of a sudden she was,
Speaker 1: like with other lawyers trying to get people out of
Speaker 1: jail by utilizing Trump.
Speaker 5: Yeah, I mean, and she was doing that with the
Speaker 5: Biden campaign as well, not as visible a Harris campaign.
Speaker 5: She was meeting with Harris multiple times. She kind of
Speaker 5: stayed at this like distant but like talkative place.
Speaker 1: That's the Kardashian way, distant and talkative.
Speaker 5: Speaking of speaking of your other prediction was that people
Speaker 5: would start forgetting about the Nazi stuff and Kanye would
Speaker 5: put out a well received album, which kind of happened. Yeah, yeah, yeah,
Speaker 5: a little bit.
Speaker 1: God, I haven't thought about Kanye so many months. It
Speaker 1: was really nice, well, really nice, thanks Garrison.
Speaker 5: Lastly, my failed prediction is that if Trump won the election,
Speaker 5: that there would be two solid weeks of writing which
Speaker 5: simply did not happen.
Speaker 2: Yes, nothing happened.
Speaker 5: I think it's actually kind of interesting, and we will
Speaker 5: maybe unpack that in the coming months as Trump's second
Speaker 5: term kind of settles in. I'm sure we will kind
Speaker 5: of revisit why we think this did not happen. Certainly,
Speaker 5: I'm curious about what inauguration Day will look like. But
Speaker 5: but yeah, that was a lot so sorry. Morsey is
Speaker 5: still alive, David David Scavenger is still alive, Putin is
Speaker 5: still alive, and though James did say that Asad would
Speaker 5: eat it, and though a sawd didn't die, he kind
Speaker 5: of did eat it.
Speaker 2: Well, yeah, I mean, James, Yeah, that's that's not gonna
Speaker 2: be the biggest dub of the year. Yeah, that's right.
Speaker 4: Damn I forgot no one about that. Really happy with myself.
Speaker 1: Now, James, I'm so proud of you, buddy.
Speaker 2: You got to pick another one this year. Yeah, may
Speaker 2: on long, baby, he's next.
Speaker 5: Let's I guess let's start with some kind of dictator predictions.
Speaker 5: What do we think will happen to like a dictator
Speaker 5: in twenty twenty five.
Speaker 4: Which is Hace is gonna die? Do we think go
Speaker 4: just general dictator predictions?
Speaker 5: Dictator predictions. It can be maybe we get a new one,
Speaker 5: you know, maybe we get a new fancy one.
Speaker 2: Yeah, well I don't know. Yeah, something's happening in January.
Speaker 6: I have two well one of them, I mean it's
Speaker 6: kind of a hack one, but I don't think. I
Speaker 6: don't think the June to memr makes out of twenty
Speaker 6: twenty five. Yeah, I think not in the version is today. Yeah,
Speaker 6: that's the hack one. The the other one is another
Speaker 6: assad one. Is I think someone actually does assassinate a
Speaker 6: sod Well, he's like like he he gets too full
Speaker 6: of himself and he goes to Abi Dabi and some
Speaker 6: Mosan brotherhood guy just wax him.
Speaker 2: Yep, okay.
Speaker 5: May Assaud prediction is he becomes a Russia Today host.
Speaker 5: That's my assad prediction.
Speaker 1: Oh my gosh.
Speaker 4: Yeah, he's going to open his ophthalmology clinic.
Speaker 2: No, I mean I think he's going to get signed
Speaker 2: to host a podcast by a little a little network
Speaker 2: you might have heard of called cool Zone Media. Congratulations, guys,
Speaker 2: let's bring him on. So if you get him on
Speaker 2: the get him on the zoom, tell him you can
Speaker 2: kick an hop in the room. Now for sure, baby.
Speaker 5: We are merging with Tennant Media to bring up our friend.
Speaker 2: Yeah, welcome to the Podsha. He's actually doing a whole
Speaker 2: media tour with the Pod Save guys next week. That's
Speaker 2: got to be fascinating.
Speaker 4: Pod Save bathis Siria the most cursed podcast in the world.
Speaker 1: My Dictator slash world Leader prediction is that despite being
Speaker 1: Nen Yahoo's I was thinking, yeah, last ride.
Speaker 2: From your mouth to whatever fucking clot is working its
Speaker 2: way through his coronary sy in a year.
Speaker 1: I really fucking hope. I'm really fucking hope. I'm right,
Speaker 1: we all do.
Speaker 2: I don't know what else to say there?
Speaker 4: Yeah, yeah, yeah, yeah, yeah, that's a big thing for
Speaker 4: the world.
Speaker 2: Yeah.
Speaker 5: I mean we are verging into not doing predictions, just
Speaker 5: doing hopes and dreams.
Speaker 4: Yeah. Well I did Morrissey like that last year. We
Speaker 4: didn't get it, and I'm sack.
Speaker 5: We need some hopes and dreams out in the world.
Speaker 1: I fair enough.
Speaker 5: Yeah, do you know what else? We need team money
Speaker 5: from these advertisers. That's right, and we.
Speaker 1: Are back, all right, Garrison, what's next?
Speaker 5: So usually in the middle of these prediction episodes, I
Speaker 5: like doing our like third annual death segment, who do
Speaker 5: we think will die? And I guess we kin we
Speaker 5: kind of touched on this briefly, but I don't think
Speaker 5: we we actually secure death for any of those people
Speaker 5: in our prediction, just that they would, you know, have
Speaker 5: circumstances change, though for this year's death segment we have.
Speaker 5: We have a bit of a twist. So it turns
Speaker 5: out about two years ago, on Spotify Wrapped Day, we
Speaker 5: all woke up to the news that both Angela BATTLEMENTI
Speaker 5: was embarrassingly my number one Spotify artist that year, but
Speaker 5: also that Henry Kissinger died honey, and this Spotify rap. Today,
Speaker 5: we will come to the news that the United Healthcare
Speaker 5: CEO was gunned down in New York City. So Spotify
Speaker 5: rapped twenty twenty five Who's dying?
Speaker 2: Who's dying on.
Speaker 5: Spotify rap to day? So this is what late November,
Speaker 5: early December, we don't really know. Spotify rapped death day predictions.
Speaker 1: So long, farewell, Love Eider saying goodbye, Mitch McCall.
Speaker 2: Oh, that's a good one. That's an easy one. But okay,
Speaker 2: I'll give it to you.
Speaker 5: I'm thinking, like, who's got to get through most of
Speaker 5: the year but not finish it out. You know, it's tough.
Speaker 2: I'm gonna make my call tye up resip air to one.
Speaker 2: You know. That's that's that's my hope. That's a long shot.
Speaker 2: I know, yes, he doesn't seem like he's in bad health,
Speaker 2: but that's a big one.
Speaker 5: Kissinger was a long shot too, because he was like
Speaker 5: arguably immortals.
Speaker 2: He'd kept living for so fucking long.
Speaker 1: Ah, so long, farewell, Love Eater, say goodbye Musk.
Speaker 2: I was gonna say that I think he might die.
Speaker 5: You think we're finally gonna get that drug over do.
Speaker 4: So I just he just seems to be spiraling so
Speaker 4: hard right.
Speaker 1: Now, the spiral's mad real.
Speaker 2: Yeah, he's getting everything he wants though, but I mean
Speaker 2: that that also.
Speaker 5: It's It's true.
Speaker 2: Sometimes that's dangerous, Yeah, especially if you are addicted to
Speaker 2: a drug that you can get in unlimited peer quantities
Speaker 2: and no one will ever say no to handing it
Speaker 2: to you.
Speaker 5: We have some more must predictions for later on the episode. Okay,
Speaker 5: but I can see of some, you know, like fantously
Speaker 5: the Secret Service, you know, not not great at hiding
Speaker 5: there own drug problems. I can I can see possibly
Speaker 5: with Musk entering a new level of comfort, maybe the
Speaker 5: spiraling a little, a little too far out of his control.
Speaker 2: He and two Secret Service ations are found dead with
Speaker 2: fitnyl infected blow.
Speaker 5: Maybe a SpaceX launch goes really wrong. Who's to say?
Speaker 5: Who's to say? Damn? I gotta think of who? Who?
Speaker 5: My who? My Spotify Rapped Day death is.
Speaker 6: I have a long shot. Oh yeah, My long shot
Speaker 6: is that sometime on Spotify rap Day, JK Rolling sees
Speaker 6: a trans woman just like existing and gets so mad,
Speaker 6: he has an aneurysm and dies.
Speaker 5: No, she's looking through the Spotify wraps and she knows
Speaker 5: that trans would make the best music, and she she
Speaker 5: sees it, gets so mad she just she just kills over.
Speaker 4: She transvestigates every single female artist on the Spotify rap
Speaker 4: list and dies of sleep deprivation doing so.
Speaker 6: Her her own fans start transvestigating her.
Speaker 2: This is the edge.
Speaker 5: Okay, I have a real long shot here, but I
Speaker 5: can see how it could happen. So we're we're in.
Speaker 5: We're in like what like month, month ten eleven of
Speaker 5: Trump term two. Right, the right wing nazi content creators
Speaker 5: are settling, are settling into their into their kind of groove.
Speaker 5: Some of them aren't really happy at Trump, not like
Speaker 5: you know, carrying on all of all of his big
Speaker 5: lofty promises. And one one disgruntled fan of Nick Fuentes
Speaker 5: does something crazy on Spotify rapped day, and that's that's
Speaker 5: that's my prediction is that somehow something like really weird,
Speaker 5: like like stalker or fan does something to to mister Fuentes.
Speaker 5: Just pure prediction on like just like what would be
Speaker 5: the oddest, oddest thing to happen, but something that could
Speaker 5: totally make sense. Maybe it's like an old like Kanye fan,
Speaker 5: you know from Kanye and Nick.
Speaker 2: From his nasra.
Speaker 5: Yeah, Yeah, I don't know. I feel like it's it's
Speaker 5: his fandom's getting close enough to pull some like weird
Speaker 5: crazy shit like that on, like a weird like on,
Speaker 5: like a on, like a deeply parasocially destructive level, like
Speaker 5: Stephen King's misery. A misery happens to Nick Quintes, but
Speaker 5: he doesn't but he doesn't make it, he doesn't make
Speaker 5: it out. That's that's my Spotify wrapped prediction.
Speaker 2: I have said for years Nick Fuintes is going to
Speaker 2: go down live probably maybe maybe live. He's gonna go
Speaker 2: down like George Lincoln Rockwell. It is not going to
Speaker 2: be like an enemy of his, that does it. It's
Speaker 2: going to be a result of his incredibly messy personal life. Yeah,
Speaker 2: like someone is going to take him down. H Like
Speaker 2: it's it's that Yeah, Yeah, that feels right.
Speaker 1: Do we have a non categorized predictions? Is it that
Speaker 1: time yet?
Speaker 2: Sure?
Speaker 5: Now that we have, we have finished our Spotify wrapped predictions,
Speaker 5: And I do not know who my top artists will be.
Speaker 5: This last year it was Trent Resnor so salute that's like, okay,
Speaker 5: Garrison Challenger soundtrack, that thing fucking bops.
Speaker 1: I tried to make Robert watch that on the way
Speaker 1: to Oh is it the d n C or the
Speaker 1: r n C. I don't remember, and but he wouldn't
Speaker 1: watch it with headphones, and so it was just on
Speaker 1: on the plane. I think it was the DNC.
Speaker 5: That's terrible.
Speaker 2: Yeah, I think I think I was reading a Nick Land.
Speaker 5: Honestly, that's a vibe that actually pairs quite well.
Speaker 2: I landed completely deranged. It was great, Ready to work.
Speaker 1: A prediction. A prediction that I have is that like
Speaker 1: Trump basically tries to move a lot of the main
Speaker 1: time he spends to mar Alago versus the White House. Like,
Speaker 1: I feel like he's going to make mar A Lago
Speaker 1: some like national monument type shit so that he can
Speaker 1: take whatever the fuck documents he wants from the White
Speaker 1: House to mar A Lago and spend as much time
Speaker 1: there as he wants and make that like a national
Speaker 1: residence or some shit.
Speaker 5: Went to White House, Yeah, the whiter House, we could
Speaker 5: call it.
Speaker 2: Yeah, so true, true Harrison. No, I'm kind of interested
Speaker 2: to watch what happens with AOC over the next year,
Speaker 2: because she has definitely become to a lot of folks
Speaker 2: that progressive and on the left, like a villain over
Speaker 2: the last year, And I kind of wouldn't be surprised if, like,
Speaker 2: in assuming there's still politics in twenty years. When we're
Speaker 2: talking to young people, they think of her like Pelosi
Speaker 2: and like, oh, you've got to understand when things started out,
Speaker 2: this was a very different person. Yeah, yeah, Yeah. And
Speaker 2: I'm not saying that's a fair way to characterize her
Speaker 2: now or where she'll go. I'm just saying, like, I
Speaker 2: wouldn't be shocked if that's the way a lot of
Speaker 2: folks are looking at it in fucking a few years,
Speaker 2: because I'm saying I'm hearing a lot of that now. Yeah,
Speaker 2: peop are very angry at her over largely Gaza. But yeah,
Speaker 2: also the fact that she and Bernie both tried to
Speaker 2: back Biden kind of yeah late in his uh centicence. Yeah, Okay.
Speaker 6: My My big one for the year is this is
Speaker 6: the this is the year the economy finally collapses, Like,
Speaker 6: this is the year you find out that no company
Speaker 6: has made any fucking money in a decade. It's all
Speaker 6: been being pumped up by like a deranged combination of
Speaker 6: interest rate bullshit, a bunch of fucking money from like
Speaker 6: overnight repo purchases, keeping the banks propped up. And I
Speaker 6: don't know if it's gonna be the trade war that
Speaker 6: fucking blows it up, although I think that will instantly
Speaker 6: detonate everything.
Speaker 2: I don't know.
Speaker 6: Maybe it's maybe he's a Chinese housing bubble, maybe the
Speaker 6: tech bubble finally collapse. Maybe all three of them hit
Speaker 6: at the same time. This is the year fucking goes.
Speaker 6: I've never actually put my name down down on this
Speaker 6: on the show. On any other fucking year. This is
Speaker 6: the year the zombie economy will fall over dead. The
Speaker 6: necromancy cannot hold.
Speaker 2: I guess my prediction is that the economy is going
Speaker 2: to be basically identical to the Biden economy in that
Speaker 2: we're going to get like fucked up inflation and people
Speaker 2: are going to be very angry, and the number will
Speaker 2: continue to go up on the stock market because that's
Speaker 2: kind of what it's designed to do. That's my theory.
Speaker 1: And the housing market will still be trash.
Speaker 2: Yeah, we will never afford times and the housing's just
Speaker 2: gonna get more expensive. It will be interesting to see
Speaker 2: Trump's entire all of his backers and his whole media
Speaker 2: like one thing that will be easier for the left
Speaker 2: is really hitting conservatives on inflation as it gets horrible
Speaker 2: again or continues to suck, because that's, you know, at
Speaker 2: this point, just a factor of the economy working as intended. Yeah,
Speaker 2: that they all have to pretend, isn't. Yeah.
Speaker 1: And before we go to a break, I just want
Speaker 1: to say the price of eggs will go up.
Speaker 2: I need to get chickens now. Oh yeah, this bird
Speaker 2: flu thing is not gonna help with eggs. Oh boy,
Speaker 2: oh boy, get your eggs now, by one hundred, by
Speaker 2: thousands of dollars of eggs.
Speaker 4: Now, there was some kind of device to make eggs
Speaker 4: and you could have in your own God, oh.
Speaker 1: My goodness, it's time for ads.
Speaker 5: I guess to piggyback off of Robert and MEA's predictions
Speaker 5: there in the economy. My prediction is that once I
Speaker 5: finally launched cool zone coin this year, I'm gonna make
Speaker 5: a big If the economy is gonna go down, I
Speaker 5: am gonna be going up. Everyone's gonna start buying coole
Speaker 5: zone coin because the US dollar becomes worthless. Bitcoin's gonna
Speaker 5: crash too. It's fake, but cool zone coin has real
Speaker 5: fungible value.
Speaker 2: Well, yeah, the thing about cool zone coin. That makes
Speaker 2: it different from all of the other crypto coins is
Speaker 2: that it is really based on a fundamentally limited and
Speaker 2: valuable resource, which is movies from the nineties that I
Speaker 2: showed Garrison and they actually liked. So, you know, there's
Speaker 2: there's only so many cool Zone coins that can be
Speaker 2: in circulation.
Speaker 5: We're lucky I was in Portland this Christmas because we
Speaker 5: really stocked up a few more of those nineties classics
Speaker 5: to bump up the price of cool Zone coin going
Speaker 5: into twenty twenty five.
Speaker 4: That's right, everybody, Wow, sell your house by cool Zone coin.
Speaker 2: Have you seen Hook? Garrison? I have seen Hook. I like,
Speaker 2: of course, good, Yeah, a classic.
Speaker 1: Have you seen Wickerman nineteen seventy three?
Speaker 5: You know, I actually haven't. I've been waiting to catch
Speaker 5: it in the theater.
Speaker 1: We will make this happen at some point necessary.
Speaker 5: I would I would love too. I would love too.
Speaker 4: I bet one thing. I think it's very predictable border stuff.
Speaker 4: They will stunt on an the caravan of migrants, and
Speaker 4: I think it's pretty easy for them to kind of
Speaker 4: organize that and make that happen, and it will be
Speaker 4: a way for Trump to flex his border fascism yeah,
Speaker 4: much like he did in twenty eighteen. Maybe they'll wait
Speaker 4: till the midterms again. There's always a fun border disaster
Speaker 4: for the midterms.
Speaker 1: Could I just do one? That might not be a prediction,
Speaker 1: but like a Sophie Hope.
Speaker 2: Sure, yeah, get it.
Speaker 1: Something has to happen to those Paul brothers.
Speaker 2: Oh, Sophie, Oh yeah, that's possible. Yeah. My prediction for
Speaker 2: the Paul brothers is that one of them dies within
Speaker 2: the next five years, and one of them lives to
Speaker 2: be one hundred and seven.
Speaker 5: Oh that tracks sure.
Speaker 4: Yeah, they decide to take on Bob Dylan in a
Speaker 4: boxing match and only one of them survives.
Speaker 2: I think Bob Dylan'll live in this next year.
Speaker 4: But I've just found Bob Dylan's tweets the purest thing.
Speaker 4: He just tweets about what he's doing.
Speaker 2: What a hero.
Speaker 1: Netflix paying Jake Paul to billions of dollars to fight
Speaker 1: nine hundred year old Mike Tyson and then Jake Paul
Speaker 1: coming in on like a vintage car and spraying his
Speaker 1: product and it having higher streaming numbers than the Super Bowl?
Speaker 5: Is that real?
Speaker 1: Yes?
Speaker 6: To be fair, that was a rancid super Bowl.
Speaker 1: Rancid Super Bowl. This this cannot this cannot be.
Speaker 4: Most of us just turned in on the off chane,
Speaker 4: So Jake Paul would die.
Speaker 5: Yes, that is true.
Speaker 4: That is true, or at least get bitten.
Speaker 1: Like Yeah, all of us were hoping that Mike Tyson
Speaker 1: was not in fact sixty years old. But he is
Speaker 1: sixty years old. So uh yeah some god, yeah something,
Speaker 1: something's gotta give. Oh, and there won't be a left
Speaker 1: wing Joe Rogan, thank you so much.
Speaker 2: Oh, I don't know, Sophie.
Speaker 5: I can as soon as we logicals so good, I
Speaker 5: think we can.
Speaker 2: Really.
Speaker 1: Oh, there'll be there'll be somebody trying to be.
Speaker 2: Oh, Sorphie, there already. By the way, it's time for
Speaker 2: me to do our new ad plug. You've heard of
Speaker 2: how good elk meat is for you, and you've heard
Speaker 2: of how liver is a superfood. Well now try new
Speaker 2: elk liver steaks. It's just just ground up liver shoved
Speaker 2: inside a steak. I send it through the mail through
Speaker 2: FedEx five day delivery. It is not refrigerated in any way.
Speaker 5: No refrigeration. It's better at roop temp, better at.
Speaker 4: ROOPTEMP to get the healthy bacteria it gives you mystical powers.
Speaker 5: Of One of my I guess more hopes and still
Speaker 5: partial predictions is that National Guard gets into a scuffle
Speaker 5: with border patrol in some kind of blue state.
Speaker 2: Yeah, yeah, good chance.
Speaker 5: We have some brave and strong governor is gonna is
Speaker 5: gonna salute the troops and send out our proud National
Speaker 5: Guard boys to fight off ice. That's just a battle
Speaker 5: I would love to see. I've wanted to see that
Speaker 5: ever since Portland twenty twenty. I've wanted to see National
Speaker 5: Guard troops fight against federal forces.
Speaker 2: Two groups of men who don't really know how to
Speaker 2: use their guns, using their guns, No, it's gonna be amazing.
Speaker 5: So battle, I've wanted to see you for like five years.
Speaker 2: Who's plate carriers at the top, closer to their nipples?
Speaker 2: It's anyone's game.
Speaker 5: I need to see it. I need to see it.
Speaker 5: Come on.
Speaker 4: I would like to see it from a distance, because
Speaker 4: that would be a shit show.
Speaker 2: Yeah, from a sizable distance.
Speaker 5: Yeah, General Whitmer, let's go.
Speaker 2: Let's go expensing a fucking telescope for that firefight. Yeah, yeah,
Speaker 2: a periscope. Maybe I trust the Iraqi Army more than
Speaker 2: either of those sides.
Speaker 4: I've seen a lot of dudes five guns while ducking
Speaker 4: behind a KB holding the gun.
Speaker 1: I love you.
Speaker 2: And then it does look fun. It does look fun.
Speaker 5: It is.
Speaker 4: Yeah, definitely, I would like to do that. That they kicked
Speaker 4: me out the range every time because of woke how sad?
Speaker 5: Well, not anymore, James, Yeah, that's also the casualties yet,
Speaker 5: not any more, James. Wolke is beaten.
Speaker 2: That's right. Yeah, they wait, went, they went broke.
Speaker 4: I'm going to buy the range, that's right, and we'll
Speaker 4: all fall from behind the bentress.
Speaker 5: Now, oh mama.
Speaker 3: Yeah.
Speaker 2: Yeah.
Speaker 4: Other predictions, maybe we'll get a good, solid couple of
Speaker 4: weeks of writing again, and that Garrison said, like, maybe
Speaker 4: it'll let me take a year or two this time.
Speaker 5: I don't think that anymore.
Speaker 2: Something will have to change. Yeah, there will have to
Speaker 2: be a material change in either organizing or social conditions,
Speaker 2: because people will need to either be vastly more desperate
Speaker 2: than they are right now, or they will need to
Speaker 2: have a specific reason to think, well, this time, getting
Speaker 2: out in the street might do something. Yeah.
Speaker 5: I think we're gonna kind of continue the trends that
Speaker 5: that we've been seeing, which which points towards a bit
Speaker 5: of an apathy towards like like big popular mobilizations and
Speaker 5: more towards kind of bizarre lone wolf attacks, something that
Speaker 5: you know could be slight even a slightly probable or
Speaker 5: you know, possibly darker productions. I think we'll have like
Speaker 5: a really bad Luigi copycat within the next like four months. Sure, yes,
Speaker 5: the years of Luigi, Like, it's not gonna be good.
Speaker 2: It's not gonna be good. There's probably gonna be a
Speaker 2: situation where some guy either gets the best case is
Speaker 2: that he gets killed immediately by the dude's security. The
Speaker 2: worst case is there's a big public firefight and a
Speaker 2: whole fuck let of people get hit.
Speaker 4: Yeah, didn't I predict that there would be a big
Speaker 4: public crime with a three D printed gun last year?
Speaker 5: I think that was the year before we talked about that.
Speaker 2: Oh damn, okay, so close and.
Speaker 5: Yeah, you know, I mean this, this certainly does kind
Speaker 5: of fit that mold. We'll see how much that like
Speaker 5: gets focused on in the trial and like continued reporting.
Speaker 4: Yeah, and in that legislation too, I missed a death.
Speaker 4: We can also include it in the hope section. Matthew Iglesias,
Speaker 4: that motherfucker, motherfucker has been standing bullshit for twenty years.
Speaker 4: It just it cannot can he knew he's lost a
Speaker 4: juice a little bit. I think he ses on the
Speaker 4: way out.
Speaker 2: All Right, Something very funny did just happen that we
Speaker 2: should talk about as a team. Senator Doug Mastriano taught,
Speaker 2: a thirty year US Army veteran who taught at the
Speaker 2: War College, just tweeted an indignant, furious tweet about the
Speaker 2: US government not being honest with Americans about like what's
Speaker 2: happening with these drones? And yeah, and the picture of
Speaker 2: the crash drone is a tie fighter. That's like a
Speaker 2: model tie fighter on the bed of a flatbed.
Speaker 5: Yes, we've all lost our mind.
Speaker 2: Hot at the US Army War College, they're not sending
Speaker 2: their best people. Oh fuck, that's funny, amazing stuff. That's
Speaker 2: one of the best things I've seen out here. Oh
Speaker 2: good me.
Speaker 5: Finally, I like the closer predictions a little bit on
Speaker 5: Trump's cabinet. I think it's pretty pretty safe to say,
Speaker 5: becausidering his last presidency, we'll have at least one third
Speaker 5: cabinet turnover by the end of the year. Yeah, this
Speaker 5: is something that we've been talking about a lot. When
Speaker 5: do we think Musk is gonna get the boot and
Speaker 5: based on the way Trump's kind of positioned him, I'm
Speaker 5: not sure if it's gonna be as soon as what
Speaker 5: we all kind of initially thought, because Trump has kept
Speaker 5: him out of his inner orbit but pretty solidly in
Speaker 5: his middle orbit. Like he's not in any like real position, right, Yeah,
Speaker 5: he has Doge, Like, come on.
Speaker 2: It just came out that he's not going to be
Speaker 2: able to get a high the highest security clearance. There
Speaker 2: you go, that's funny.
Speaker 1: But like he has him sitting next to his family
Speaker 1: at Thanksgiving totally.
Speaker 5: Yeah, yeah, no, no, totally, And especially in like the
Speaker 5: three weeks after the election, they were like they were
Speaker 5: like honeymoon, right, they were neck and neck and something
Speaker 5: that's gonna like start dissipating. Musk can't get fully booted
Speaker 5: out because like you know, the federal government needs SpaceX
Speaker 5: and and unlike Musk's other like technologies, so like they
Speaker 5: will remain friendly, but like you're not going to be
Speaker 5: in the close position that they are now. I initially
Speaker 5: I put that date for being March twentieth, twenty twenty five,
Speaker 5: you know, a two months after inauguration day. It's it's
Speaker 5: enough time to get, you know, for for someone like
Speaker 5: Trump to get tired of Musk's like personality. But I
Speaker 5: think I might stretch that out a little bit more
Speaker 5: now than my initial prediction. I think I think they
Speaker 5: might do a little bit more of a long term
Speaker 5: game here. But that also means that that Musk maybe
Speaker 5: will not have as much like constant influence as what
Speaker 5: it was first looking like in those like, you know,
Speaker 5: three months after the election.
Speaker 2: I think that RFK Junior is probably at pushed out
Speaker 2: of the picture before Musk is.
Speaker 1: Yeah, if he tries to get rid of the fucking
Speaker 1: polio vaccine, it's gonna be a real quick trip to
Speaker 1: the unemployment line for Bobby Boy.
Speaker 2: Yeah, I really, I don't think Trump's that reckquest No,
Speaker 2: like that that would be quite quite a line to
Speaker 2: get rid of the polio vaccine.
Speaker 4: Trump, I'm still so old, like he remembers he's old.
Speaker 1: But if, but if ORFK Junior could get the wheat
Speaker 1: ingredient out of the McDonald's fries, I'd be most obliged.
Speaker 5: Oh yeah, no, I'm I'm sure that he's gonna he's
Speaker 5: gonna reverse one hundred years of corn subsidies. And get
Speaker 5: corn served out of our Coca Cola. I believe in RFK.
Speaker 2: Yeah, I feel pretty good about the continuing legality of
Speaker 2: Kraton as long as he's the HHS head.
Speaker 5: There you go.
Speaker 2: All it's gonna take, is one of Joe Rogan's friends,
Speaker 2: speaking in his ear.
Speaker 5: We'll be all right, We're gonna have legally required DMT
Speaker 5: for everyone in the country.
Speaker 2: Yeah, why not? I think we need and I've been
Speaker 2: I've been saying this for years. We need to put
Speaker 2: the lithium back in the water. We also need to
Speaker 2: use those crop dusting planes and just like fill them
Speaker 2: with xanax. Just just just calm everyone down, take everything
Speaker 2: back a couple of steps.
Speaker 1: All right, I'm gonna go pet some dogs. So the
Speaker 1: podcast over. Happy New Year, everyone, Happy, Happy new everyone.
Speaker 1: I do want everyone to pick one thing that that
Speaker 1: that they're gonna do this year that will improve their life,
Speaker 1: however small.
Speaker 5: For me, I'm gonna get a new mirror. We're gonna
Speaker 5: all pick one thing. We call that Project twenty twenty five.
Speaker 5: It's what one thing we can do to improve our
Speaker 5: lives and you know, and then by extension, the lives
Speaker 5: of everyone else around us. So make sure everyone has
Speaker 5: their own personal project twenty twenty five going into this
Speaker 5: next year. I think we will need it.
Speaker 1: Yeah, I'm holding my Project twenty twenty five in my
Speaker 1: arms right now.
Speaker 5: Your new dog, your new dog I adopted.
Speaker 1: I adopted Anderson a sibling, and her name is Truman.
Speaker 2: Lovely after our greatest US president, after not.
Speaker 1: The greatest US president. I would never name a child
Speaker 1: of mine after our president.
Speaker 5: After the sheriff in Twin Peaks, that's right. Also, no,
Speaker 5: all right, well we love that.
Speaker 4: After the house did viv who grew up in the
Speaker 4: Truman Shows Gate is Gates?
Speaker 2: Yeah, named you're after Matt Gates.
Speaker 5: Tildhoods is like totally unoven job. Now that's so funny.
Speaker 1: It's very funny. It's very very funny, and I feel
Speaker 1: like I feel like we should end on that note.
Speaker 1: So ha to Matt Gates. Anyways, Anderson Truman to the
Speaker 1: fuck out.
Speaker 2: Of here, welcome back to it could happen here, A
Speaker 2: podcast about it, which in this week's case is the
Speaker 2: Consumer Electronics Show is happening here. And yeah, we're here
Speaker 2: to talk about things falling apart. And again, in this
Speaker 2: case that's the tech industry because The story this CES,
Speaker 2: as it has been for the last several CES, is
Speaker 2: is that the continuing degradation of big tech as it
Speaker 2: seeks more places to get money from while providing less
Speaker 2: and less utility to the people that it needs to
Speaker 2: give it money. And every CEES at some point I
Speaker 2: find myself face to face with something that makes me say,
Speaker 2: I've now seen the silliest thing I've ever seen. And
Speaker 2: this year, that experience happened for the first time within
Speaker 2: thirty minutes of the first half day. And I'm going
Speaker 2: to talk about that and show some videos to my
Speaker 2: panelists here, which of course are the great ed Zeitron,
Speaker 2: It's me, I'm here, the pretty good Garrison Davis.
Speaker 5: Okay, thanks, okay, all right, all right, Boddy them.
Speaker 2: And the supernumerate supernumerary. I'm sorry, I messed up the
Speaker 2: word I was using as a superlative to praise you.
Speaker 5: I'll take at longways.
Speaker 2: So Junior, thanks Ed, Thank you so much for joining us. Everybody,
Speaker 2: are you ready to see some of the dumbest AI
Speaker 2: generated videos?
Speaker 7: Sure sell me with more pleasure?
Speaker 2: Excellent, excellent.
Speaker 8: Nothing fills me with pleasure.
Speaker 2: So the first panel I sat down today with at
Speaker 2: ten am in the Goddamn Morning Jesus was the Hollywood
Speaker 2: Trajectory Generative AI Timeline twenty twenty five to twenty thirty.
Speaker 5: Oh boy, I am fascinated for what they think will
Speaker 5: happen in twenty thirty.
Speaker 2: Everything's just gonna get better Garrison. This panel featured a
Speaker 2: number of luminary thinkers, including Mary Hamilton, a managing director
Speaker 2: at a Centsure, who announced her company's three billion dollar
Speaker 2: investment in AI by dropping this gym.
Speaker 8: I have a digital twin.
Speaker 5: And she's constantly evolving and how she gets used and
Speaker 5: what she says, and.
Speaker 9: You know there's you know, big educations around that.
Speaker 5: So I think this is a really exciting space to
Speaker 5: be thinking.
Speaker 7: That to any like that she just stole Hurley Herndon's thing.
Speaker 10: But okay, they've probably said that to a dolta they
Speaker 10: think I had a concussion.
Speaker 2: The shere would this person needs?
Speaker 5: Like psychologically, Yeah, you.
Speaker 2: Should be allowed to drive.
Speaker 11: You need a trying kid.
Speaker 8: Okay, let's get you, let's get you sit down, and.
Speaker 2: We're taking the phone away from you. Now. I think
Speaker 2: this is very silly because again I think, yeah, it's
Speaker 2: just a fundamental mismatch and what people might want from
Speaker 2: an AI agent, and like the way in w which
Speaker 2: they get talked about.
Speaker 8: But also they use digital twin, which is cement to
Speaker 8: prise software.
Speaker 2: Shit. Yeah, oh my god, yeah it's it's it's I'm
Speaker 2: excited to go see some digital twin technology that I'm
Speaker 2: sure we'll make a cheap egg code switching.
Speaker 5: This was this is the first thing I reported on
Speaker 5: at CEES was there was the digital twin. Like back
Speaker 5: in like twenty twenty two, twenty one, there was like
Speaker 5: one single company and all of c Yes, I was
Speaker 5: promising like a digital twin, and now it's like every
Speaker 5: other company.
Speaker 2: Yees. It means so many different things.
Speaker 8: It means literally a digital representation of anything.
Speaker 2: It doesn't even mean an AI agent.
Speaker 8: The fact that they're using it in the wrong place
Speaker 8: is very annoying to me.
Speaker 2: Yeah. I keep seeing like they can now make an
Speaker 2: an AI chatbot trained off of your social media presence.
Speaker 2: That's eighty five percent accurate.
Speaker 12: Oh, as all twins are.
Speaker 2: And I want to say I know they can't. But
Speaker 2: then you talk to the average person at CEES or
Speaker 2: the average panelist on this particular panel, I'm like, yes,
Speaker 2: I do believe in fact, everyone on that panel you
Speaker 2: could accurately, you could accurately get eighty five percent of
Speaker 2: their personality with the I bought for a bit, you know,
Speaker 2: maybe a lot higher improvement. Yeah. Yeah, So I will say,
Speaker 2: like that was silly. That's not the silliest thing I saw.
Speaker 2: The silliest thing I saw came courtesy of another panelist,
Speaker 2: Jason Zada, founder of Secret Level and COO of the company.
Speaker 2: The videos that Jason came to CEES to brag about
Speaker 2: were a collection of the laziest AI slop ever to
Speaker 2: stain human eyeballs. His most recent big success that you
Speaker 2: could just see radiating off of him how proud he
Speaker 2: was of this was Coca Cola's annual Christmas ad, which
Speaker 2: last year was produced for the first time entirely with AI.
Speaker 2: And I'm just gonna if you haven't seen this, who
Speaker 2: hears seen Coca Cola's AI.
Speaker 5: Guess yeah, I've seen pictures. I think I've watched one.
Speaker 2: Okay, well let's let's let watch a few times. We're
Speaker 2: gonna play. There's three different versions of this.
Speaker 8: So why we're just gonna I mean, that's that's what
Speaker 8: it's about.
Speaker 10: Out Oh my God, if there's three different versions that
Speaker 10: that's just they saved the from.
Speaker 8: Everyone is the same length of shark.
Speaker 2: Can you believe this song's AI generated? I can't believe
Speaker 2: the cou Could they teach a computer to write the lyrics?
Speaker 2: Holidays are going?
Speaker 10: I just can't believe we finally have the technology to
Speaker 10: have three trucks driving somewhere.
Speaker 2: And there wagging its tail with a dead eye too
Speaker 2: horrible girls move trucks with Coca cola and them driving
Speaker 2: down not a street. Raccoons.
Speaker 8: What the why is there a satellite?
Speaker 10: Are they going to drop the iron cannon on the
Speaker 10: polar bears?
Speaker 2: It's all clearly a it's all glowing like the city
Speaker 2: shots of like snow colored villages with that, as we're
Speaker 2: going to see in later videos. A. I loves putting
Speaker 2: smoke and random fires where there should not be smoking.
Speaker 5: Random fire. Chris, that's such a bad omen for four
Speaker 5: more years of a Trump presidency. It's a bleak that
Speaker 5: we have like even uglier Thomas Kincaid esque artwork.
Speaker 2: That's all every frame looks like animated.
Speaker 5: It's like they just generated a Thomas Kincaid like frame
Speaker 5: and then like badly animated and.
Speaker 10: The way that they move is very weird, like it
Speaker 10: looks kind of right but kind of right, looks very strong.
Speaker 2: It does that all of the scenes because it's like
Speaker 2: showing you a bunch of you see like a polar bear,
Speaker 2: obviously it's a Coca Cola Christmas ad. You see like
Speaker 2: a fucking reindeer, you see squirrels, you see a dog.
Speaker 2: But it always is like this very ai shot where
Speaker 2: it just pans across the animal and it's like glowing
Speaker 2: and kind of glossy and steering much. But they're not
Speaker 2: going anywhere with the movement.
Speaker 8: It's just like they doing something and that's it.
Speaker 2: Yeah.
Speaker 10: You think in ten years they're still gonna have these commercials.
Speaker 10: Yeah no, because where's the snoke. It's just a polo
Speaker 10: bez walking around like.
Speaker 2: System one, which tests emotional responses to ads, claims that
Speaker 2: the initial response to their Christmas ad was overwhelmingly positive.
Speaker 5: I don't think they're lying about that. I think if
Speaker 5: you walked up to someone like randomly on the street
Speaker 5: and showed them this, I think they'd be like, oh, yeah,
Speaker 5: it looks fine.
Speaker 2: Yeah.
Speaker 8: No one's watching a Coca Cola RDE and being like, yeah, wow,
Speaker 8: I've never had one of these before.
Speaker 2: Yeah, it's never a new experience. Not yet.
Speaker 7: We need an ad man.
Speaker 8: Need an ad man for the coke holdouts, we.
Speaker 7: Need an AI Don Draper.
Speaker 5: Yeah, well, do not give them ideas.
Speaker 2: What if a.
Speaker 8: Company lost five billion dollars.
Speaker 2: It's just an air that doesn't work.
Speaker 7: Instead of going to the movies like Don Draper does
Speaker 7: throughout all.
Speaker 12: Of mad Man, it just doesn't work and respond to
Speaker 12: any of your queries.
Speaker 2: Just Don Draper spending hours watching that looping Christmas video.
Speaker 8: Staring at nothingness.
Speaker 2: Yeah. So there was like an immediate, pretty immediate backlash
Speaker 2: to this, like all of the responses. If you go
Speaker 2: to any of like where these things live on YouTube,
Speaker 2: it's just people shitting on them, which he did acknowledge
Speaker 2: Jason by saying the video was very debated.
Speaker 8: Yes, classic thing with commercials.
Speaker 2: We love debating commercials.
Speaker 5: Many things are very debated these days.
Speaker 7: A lot of people are saying.
Speaker 2: And then he showed us next an AI generated video,
Speaker 2: the Heist, which was entirely made by a tech script
Speaker 2: that itself was mostly written by chat GPT. And here's
Speaker 2: how Jason describes the workflow for what you're about to see.
Speaker 2: It took thousands of generations to get the final film,
Speaker 2: but I'm absolutely blown away by the quality, the consistency,
Speaker 2: and adherence to the original prompt when I described gritty
Speaker 2: New York City in the eighties, it delivered in spades consistently.
Speaker 2: While this is not perfect, it is hands down the
Speaker 2: best video generation model out there by a long shot. Additionally,
Speaker 2: it's important no VFX, no cleanup, no color correction has
Speaker 2: been added. Everything is straight out of VO two Google
Speaker 2: deep mind. So what is the model vo two Google
Speaker 2: deep mind? I think is what he's saying.
Speaker 8: It is, so I thought that I had another one.
Speaker 8: By the way, I'm sure what you're about to show
Speaker 8: me looks like a dog's.
Speaker 2: As it looks like, yeah, New York, exactly like New
Speaker 2: York at Juliani right before he came in clean it up.
Speaker 5: So this is like the competitor to Sora. I guess
Speaker 5: that's the other big like video generation brand new.
Speaker 2: I don't buy for a fucking and I'm not impressed.
Speaker 2: But we'll see what you guys think. Okay, I don't
Speaker 2: want to poison your I wouldn't.
Speaker 8: Oh god, okay, there is fire in.
Speaker 2: This The last time you're gonna see the sack full
Speaker 2: of money. It does not shine again.
Speaker 5: It's a lot of a lot of fire, random fire
Speaker 5: and go.
Speaker 8: Backwards when they're driving forwards.
Speaker 2: Wheel again another straight fire.
Speaker 8: I would love to do freeze frames on this.
Speaker 2: Actually it's in Gosthel. Why is there so many fires?
Speaker 7: Just all right, let's take a shot every time?
Speaker 2: Oh my god, and also take a shut every time.
Speaker 2: He is wearing different clothing and has a clearly different face.
Speaker 2: The car has changed. Column he's praising the consistency and
Speaker 2: it is a he is dressed completely differently every scene.
Speaker 5: His jacket has has has changed since the last one.
Speaker 2: Yeah, yeah, and again the cop car the cars. When
Speaker 2: it shows the cars dragging across the screen, they're kind
Speaker 2: of doing the same thing usually that the animals doing
Speaker 2: the coke.
Speaker 7: And minimal motion at the best.
Speaker 2: Yeah. I also love this. Can you believe this music?
Speaker 10: I also want to just say when he swoved hit
Speaker 10: that thing, he was driving like half a mile on it.
Speaker 5: Yeah, that's how I run.
Speaker 2: Yeah, look an obviously different man.
Speaker 5: That's by the way he runs was like he had
Speaker 5: his arms.
Speaker 2: Looks cops are three kes actually, look how they run.
Speaker 5: The running is very funny.
Speaker 2: Yeah, the bond his seat Yeah different, okay.
Speaker 5: What is going on with his feet and that, different
Speaker 5: levels of facial hair, different different jackets, he's wearing different colors, jackets.
Speaker 12: Vaguely definiteness and in this SA just move.
Speaker 2: What the fuck is going on? Oh my god, I
Speaker 2: got me? Yeah, directed by Jason's Odd in big flaming
Speaker 2: words because again the AI only knows how to put
Speaker 2: random fires on.
Speaker 10: Wow, I'm so glad that we have the technology that
Speaker 10: there a thing where a guy gets chased by the place.
Speaker 2: Yeah, we couldn't. This would have been impossible before.
Speaker 10: As he runs at anywhere from one to one hundred
Speaker 10: miles an hour.
Speaker 5: I assume they just trained they like this was specifically
Speaker 5: like pulling on like Scorsese movies a lot.
Speaker 10: I just want to know about these thousands of generations
Speaker 10: of script because.
Speaker 5: That is interesting.
Speaker 10: I am very curious because I just don't believe that
Speaker 10: for did he just uh read there?
Speaker 12: Yeah no, that's the opening crawl to just like some
Speaker 12: uh generated Star Wars.
Speaker 5: It seems like shot by shot, right, each each shot
Speaker 5: is going to require a lot of.
Speaker 2: Like iteration the script.
Speaker 5: It's just yeah, I mean again, like it unpacking. What
Speaker 5: he actually is saying is unclear.
Speaker 2: Because I went to the YouTube video for this and
Speaker 2: the first five or four comments are looks like we
Speaker 2: found the new king of video. Jesus Christ, give it
Speaker 2: a rest close change in every shot. Four to six
Speaker 2: year old boys are gonna love it and still acts
Speaker 2: character and vehicle consistency. But we're getting close.
Speaker 5: Which is which is the exact?
Speaker 2: By twenty thirty, you'll make a man wear the same
Speaker 2: clothes for an entire video. Oh this is This has
Speaker 2: happened before with Sora.
Speaker 10: When they put Sora out there, like check out airhead
Speaker 10: on your man God, and the balloon changes every single shot.
Speaker 8: It's a different size and color each time.
Speaker 10: There are just people running in the background sometimes and
Speaker 10: then they made a new one. You're like, oh, this
Speaker 10: is gonna be good. It was worse and less consistent,
Speaker 10: and this is what they think of us. They're like,
Speaker 10: these pigs will slop up anything.
Speaker 4: You.
Speaker 2: I can't expect technology to do something as complicated as
Speaker 2: dress a man in clothing and have him stay in
Speaker 2: that same clothing over multiple scenes. Hollywood never figured it
Speaker 2: so cool.
Speaker 10: That this costs like so much money as well just
Speaker 10: burning there's some fucking gpu melting and a day just
Speaker 10: enter in Arizona.
Speaker 2: The strain learning North Carolina.
Speaker 12: It is also there's gonna be like thirty forty companies
Speaker 12: trying to recreate the same misshapen wheel you know, for
Speaker 12: the next five days.
Speaker 10: Also, the little pigs that watch Star Wars, including myself,
Speaker 10: they'll notice every miner inconsistency. Do you think that they're
Speaker 10: going to tolerate Luke Skywalker's and Watteau and all their favorite.
Speaker 8: Characters they're going to drive? Do you think that they're
Speaker 8: going to be happy office with a cyber truck?
Speaker 2: That's a cyber truck situation. You I think the issues
Speaker 2: are twofold, which is like number one. In order to
Speaker 2: make this shiit sell to the people who watch movies,
Speaker 2: you have to dramatically reduce the average intelligence of people
Speaker 2: watching movies. You have to give everyone brain damage, which
Speaker 2: except they are.
Speaker 7: Working in Giant Yeah.
Speaker 2: And the other thing is the models have to get
Speaker 2: much better. And Jason made a point that like, look,
Speaker 2: every time people would like talk about the criticism and
Speaker 2: be like, look, this is the worst it's gonna look guys,
Speaker 2: And I was just looking into it. GPT four took
Speaker 2: fifty times as many resources in like fifty times as
Speaker 2: much energy to train as GPT three did. So this
Speaker 2: is these are the kind of like exponential increases that
Speaker 2: we're looking at. So like, if it took them so
Speaker 2: many millions, billions of dollars of investment to get to
Speaker 2: the point where they can make this shitty video, to
Speaker 2: make anything close to watchable. You're talking about again just
Speaker 2: like lighting on fire, billions of dollars to do what
Speaker 2: to make a scene that you could already get like
Speaker 2: a twenty six year old dude who grew up watching
Speaker 2: fucking Quentin Tarantino movies and taking cocaine, And you could
Speaker 2: give them sixty thousand dollars and he'll film that shit
Speaker 2: for you with an old car, Like.
Speaker 5: Yeah, I mean you could. You could even like animate it.
Speaker 12: M I mean, look, you give me a PS four
Speaker 12: and somebody's grandmother and I will make them think that
Speaker 12: they're watching that.
Speaker 5: No, seriously, seriously that six.
Speaker 10: But also this, I just want to read out some
Speaker 10: of the fucking people that use this model. We started
Speaker 10: working with creatives like Donald Glover, who I said was
Speaker 10: washed ten years ago.
Speaker 2: I'm fucking sick of people.
Speaker 7: My Love was a was a good album.
Speaker 5: America is an objectively bad song.
Speaker 2: It's a bad song with a great video.
Speaker 8: Yeaheah, I thought he's like kind of bar and be
Speaker 8: stuff is.
Speaker 10: Very interesting anyway, moving and of course the week in
Speaker 10: it so weekend and someone called great. I'll work with
Speaker 10: creators on VO one and form the development of VO two,
Speaker 10: and we look forward to working with trusted testers and
Speaker 10: creators to get feedback on this new model.
Speaker 8: How long are you going to get fucking feedback? It stinks.
Speaker 2: We've got some feedback from Yeah, I got a few thoughts.
Speaker 5: Hopefully those people are are just getting paid to tell
Speaker 5: them words and be like yeah, sure, I'll take your money.
Speaker 2: Yeah, if they can be twenty million dollars, I'm flipping
Speaker 2: the hole like just no, I will turn on a dime.
Speaker 2: Speaking of turning on a dime for money, here's.
Speaker 13: Ads Ah, we're back.
Speaker 2: So the next video that our friend I now feel
Speaker 2: he's like a brother to me, Jason puts on was
Speaker 2: of an AI generated fictional elderly rock star talking about
Speaker 2: death to do this plastic and incapable of dynamic expression
Speaker 2: as he guzzles randomly from bottles of liquor that flash
Speaker 2: in and out of existence. Sometimes he lies on his
Speaker 2: back in empty streets while talking about all the all
Speaker 2: of the cgi featureless women that he has loved in
Speaker 2: his exciting life. Other Times he plays stadium shows while
Speaker 2: obvious GPT written dialogue about aging and death drones on.
Speaker 2: When the video ends, everybody in the room claps, And
Speaker 2: as you watch this, I need to imagine seeing the
Speaker 2: thing that I'm about to show you all and a
Speaker 2: room with like two hundred people in it, all clapping
Speaker 2: in thusiastically. I don't think I did. I did it.
Speaker 2: I did. I said, come the fuck on, as flat
Speaker 2: as I could rise, a skywalk up. Yeah. So here's
Speaker 2: fade out and an old man. Yea, it looks a
Speaker 2: little bit like George car It's the end. Okay, three?
Speaker 6: Can you chest like the world's just you, God damn
Speaker 6: big and you're just to go passing through them?
Speaker 2: What's he doing?
Speaker 10: He carried my heart concerts, Granddad, calm down, It scattered.
Speaker 10: I love these slash cuts, the fast cuts, these fosse cuts,
Speaker 10: because the next frame was unusable.
Speaker 5: Yes, actually yes.
Speaker 2: Like that he drank and the bottle changed in his hand.
Speaker 2: You could see it starting to happen? What is just
Speaker 2: anonymous with destroyed It? Just a beautiful music. Listen to
Speaker 2: that lived It to the bow?
Speaker 5: Could you believe.
Speaker 2: By firing a Roman candles time?
Speaker 5: I like so?
Speaker 10: The old man does look very different each time, very
Speaker 10: different old man.
Speaker 5: That's a different that's a different guy.
Speaker 2: Yeah, that's the Emperor from the first Cladiators, trotting get running.
Speaker 5: Away from this the way this model generates running diesel.
Speaker 2: There he is drinking on the fire, old rock star,
Speaker 2: drinking in front of a flaming house, the a I
Speaker 2: loves burning building.
Speaker 5: What is this voice? I would love to track his
Speaker 5: tattoos from three.
Speaker 10: We'll say he's about to eat the micro different, I've
Speaker 10: done it, yum.
Speaker 2: Now he's sleeping and a broken Mustang, the classic Ferrari
Speaker 2: Mustang Mustang. It's in like a pool in front of
Speaker 2: a mansion, but he clearly isn't questioned to it. The
Speaker 2: car is hovering slightly over the pool like I love this,
Speaker 2: I love this, I love him, And he tells us.
Speaker 2: He tells us during this as if we're supposed to
Speaker 2: be impressed that Chatchypt wrote seventy five and that's fucking hell.
Speaker 5: I can't believe that.
Speaker 12: Frankly, as a bartender, I regret walking into the room
Speaker 12: to see if people want drinks.
Speaker 8: This is a bartender.
Speaker 2: I apologize. I apologize that you had to hit a drink.
Speaker 5: I also would like, actually, can I have a drink too?
Speaker 2: We are in the line.
Speaker 10: Ces Sweet and we're all drinking because I just want
Speaker 10: to say, I'm fucking disassociating after that, I'm so fucking
Speaker 10: saying every a year of doing this nonsense, and I
Speaker 10: look at these chit eaters and they show us that,
Speaker 10: and they like slope down the slop.
Speaker 2: Oh my god, it's it's it's hitting the easiest.
Speaker 8: Things to find an old man that drinks.
Speaker 2: For an idea of like how real this company is.
Speaker 2: Obviously they were one of the companies. They were not
Speaker 2: the only people who made that Coca Cola add They
Speaker 2: were one of like three or four companies.
Speaker 5: It takes four companies to take companies to make that.
Speaker 2: Can't believe it. They have six hundred and twenty two
Speaker 2: followers on Twitter, Hell yes or not? Twitter, on YouTube,
Speaker 2: on YouTube, on YouTube, on YouTube, I don't know than
Speaker 2: I post this karaoke song and this this fade out
Speaker 2: is there or Sorry. The Heist is their most successful video,
Speaker 2: with fifty six thousand views. Fade Out, which we just watched,
Speaker 2: has less than five thousand views. They're not ready, so
Speaker 2: they're not they're not white.
Speaker 5: It's only going to get better.
Speaker 2: Yeah, it's only going to get get only going to
Speaker 2: get better.
Speaker 5: Obviously, things will only get.
Speaker 7: Read floor for a small price of one billion dollars.
Speaker 8: It's just like one hundred thousand dollars to compute.
Speaker 2: Yeah, imagine how good it would be much a billion
Speaker 2: will only get worth more. I mean, I get now, Garrison,
Speaker 2: I do think you should invest all of your salary.
Speaker 8: I just did a sixteenth minute about talking this.
Speaker 10: I think I would rather hook To has a more
Speaker 10: obvious use case than this ship. Hey, do you want
Speaker 10: to spend way more money to get something way worse?
Speaker 10: I actually can't get over the seventy five percent check GPTO.
Speaker 2: That should be more twenty.
Speaker 8: No, it should be Theoretically it should be it should
Speaker 8: be one.
Speaker 10: Hundred, should be hundred percent, which means that a quarter
Speaker 10: a quarture of it was just fucking unusable.
Speaker 2: No.
Speaker 5: Absolutely, they're generating like individual shots that they're like stitching
Speaker 5: together and like who knows how how long it takes
Speaker 5: to like get like the prompt right for that shot
Speaker 5: to work.
Speaker 2: However long it takes, it was too long because it
Speaker 2: looks like, shit, we're gonna watch a video I haven't
Speaker 2: seen yet, or at least of course, because it's five minutes,
Speaker 2: so we're not watching all this.
Speaker 5: Oh my god.
Speaker 2: It's two hundred and fifty two views and came out
Speaker 2: a week ago. It's called miniminade.
Speaker 5: What Yeah, it's a word.
Speaker 10: Now it's like when you find your cat's momented on
Speaker 10: the floor again.
Speaker 2: So first we see a diner called Minimonade that appears
Speaker 2: to be both on the fire.
Speaker 8: Light runner yeah, light runner, oh god.
Speaker 2: And an old lady Rice is up out of a
Speaker 2: pile of ashes. That's how mouths work.
Speaker 5: Where am I.
Speaker 2: Great? AI voice?
Speaker 8: What is this pantasticgoria or all voice acting? It's me
Speaker 8: Harris Forward. The funk is going on with the tea.
Speaker 2: What I think this is death? This old lady is dead.
Speaker 2: That's how I.
Speaker 5: Now.
Speaker 2: She's tripping on tomatoes. The decaying Sandy diner that exploded
Speaker 2: has turned into a lively fifties diner off off.
Speaker 8: Dennis phil Villa News.
Speaker 7: This a segregated diner.
Speaker 2: I only see why going back to the good old days.
Speaker 5: Yeah, yeah, I know.
Speaker 2: There's a little Indian book he is. He is the
Speaker 2: help though. Yeah mm hmmm, oh that's not. The little
Speaker 2: kid just fell down, and the way it shows falling
Speaker 2: is that he just sort of deflays.
Speaker 7: And he's up again. The action is staring at.
Speaker 2: Well, that's terrible. We don't need to watch anymore of that.
Speaker 2: No one, no one, no one want to watch watch
Speaker 2: this and have a positive reaction.
Speaker 8: They should, They should keep you in a holding cell.
Speaker 2: Yeah, I'm deeply unhappy at the time we already spent watching.
Speaker 8: Yeah, like, we don't know what you're gonna do next.
Speaker 7: We're building a facility for you.
Speaker 2: Yeah. The phrase reality distortion field gets used a lot
Speaker 2: when we talk about texts, but I really tasted it
Speaker 2: in that room because all anyone on stage could talk
Speaker 2: about is how good it looks. And every one of
Speaker 2: these videos people are like clapping, They're like, wow, this
Speaker 2: is amazing.
Speaker 5: Why do you think they think it looks good?
Speaker 8: It looks better than an Xbox.
Speaker 10: Yeah, And the idea is you talk to thing in
Speaker 10: and now a thing came out, and that's magical.
Speaker 7: So why virtue of not having humans work on it?
Speaker 2: It's so it's better than you'd have Yeah, Okay. There
Speaker 2: was a moment after this where Jason like joked about
Speaker 2: how like I don't like obviously I don't want to
Speaker 2: replace actors yet yeah yeah, and another Panels was like,
Speaker 2: I think we're gonna have to make some you have
Speaker 2: to see how some decisions go as to fair use,
Speaker 2: because obviously this is cribbing from a bunch of fuck Scorsese,
Speaker 2: like it kind of looked like nine. Yeah, and Thomas
Speaker 2: can get and.
Speaker 5: Later On in twenty foury nine, and Denny Villanou in general,
Speaker 5: like all of his films have been like a massive
Speaker 5: source for for these emotion and still generations, so much
Speaker 5: so that like I think, like later On twenty forty
Speaker 5: nine is like one of the easiest films to like
Speaker 5: like replicate film stills almost exactly for based on like
Speaker 5: how like how like load bearing that film has been
Speaker 5: for a whole bunch of these models that could be
Speaker 5: due to a number of factors.
Speaker 2: Now I know what you're wondering, How soon until we
Speaker 2: can get a full ninety minute movie that looks like this?
Speaker 1: Oh?
Speaker 5: I mean I'm guessing days away.
Speaker 2: No, no, Jason said, probably not at least for a
Speaker 2: decade or so.
Speaker 5: Really, okay, years, that's interesting.
Speaker 2: I don't want to wait that long. What a worthwhile endeffort.
Speaker 5: Though, because he could have said shorter. That actually is interesting.
Speaker 8: He could have said anything those chums believed.
Speaker 2: I think it is like he did have to spend
Speaker 2: probably hundreds of hours of his precious one human life
Speaker 2: stitching those those turds together, and he's like, it's nowhere
Speaker 2: near ready. There's no way it could make it nice.
Speaker 5: It's giving him.
Speaker 12: Because I've only really seen one interesting genitive video thing.
Speaker 12: But it wasn't a generative video thing. It was they filmed, uh, Brian,
Speaker 12: you know, filmed a documentary and they created, you know,
Speaker 12: some backhand software so that they would be able to
Speaker 12: do cuts of existing footage and try to focus on
Speaker 12: the parts of the documentary. But I never ever see
Speaker 12: anything interested in like constructing narratives or it's like, you
Speaker 12: can't teasing other aspects of the creative process. It's only
Speaker 12: let's try to replace, right, Let's try to so you
Speaker 12: can't do narrative with it.
Speaker 2: And that's the thing. If I if i'd sat down
Speaker 2: there because I'm sitting I said this. I was sitting
Speaker 2: next to a guy from usc who was one of
Speaker 2: the only people in the room who was like similarly
Speaker 2: critical to me of what we were seeing on stage.
Speaker 2: It was like, look, if they had come down and
Speaker 2: been like, look, this is how we can plug a
Speaker 2: script in and it can create a story be bored,
Speaker 2: and you can like kind of see like a crude
Speaker 2: CGI animation of how the shots will look, and that
Speaker 2: can help you like plan out, like like that's legitimately useful.
Speaker 2: That's the thing that adds value and can cut costs
Speaker 2: in a meaningful way to like the production of good
Speaker 2: TV and movies. But that's not as sexy as like
Speaker 2: I'm and they were all talking. There was this this
Speaker 2: like very weird moment where one of the panels Leslie Shannon,
Speaker 2: who's head of innovation for Nokia, a company that used
Speaker 2: to make phones and now makes panelists who pretend to
Speaker 2: be entertained by awkwardata.
Speaker 5: They also like make cameras and.
Speaker 2: They make a lot of stuff. I was just shitting
Speaker 2: on Nokia. She's like, can we use neuroscience to see
Speaker 2: how people are reacting to AIA generated videos? And then
Speaker 2: adjust the ending to be like, you know, let's make
Speaker 2: this resonation of a night. That way, we're helping the creative.
Speaker 2: And I was like, are you out of your fucking mind?
Speaker 8: We attached electrodes to found people skulls.
Speaker 2: I would I would have supported electrodes in their skulls. Yes,
Speaker 2: Jesus Christ, we should do the monkey neuralink thing to
Speaker 2: perhaps a pair of calipers.
Speaker 8: Skulls.
Speaker 2: I am fascinated the skull shapes of that fucking.
Speaker 10: To say that is there's so many things that you've
Speaker 10: said that just they wouldn't survive at that position.
Speaker 2: Speaking of things that wouldn't survive a deposition the sponsors
Speaker 2: to this podcast. Okay, so that first panel was a
Speaker 2: real moment for me. I went through a couple of more,
Speaker 2: one of which was on like advertising and AI and
Speaker 2: was mostly mostly pretty boring. The third panel I went
Speaker 2: through though, was called AI Cinematic Spatial and XR and
Speaker 2: I just want to actually play you guys, you'll have
Speaker 2: to cluster around.
Speaker 10: I would actually believe that was generated with chat GPT
Speaker 10: GPT two point zero.
Speaker 5: So let's start with this one. AI will be more
Speaker 5: impactful than.
Speaker 14: The Internet, maybe it's a trick question because it is
Speaker 14: then that was that was.
Speaker 1: The Internet, although it can wrong about the Internet.
Speaker 6: So I'm like, oh, yeah, there you go.
Speaker 5: All right, what's what when you impact.
Speaker 9: AI?
Speaker 5: AI is going to resolve in astronomical job losses?
Speaker 2: True, bolsh, there will be an evolution of job laws.
Speaker 7: Next redistribution of.
Speaker 2: M That was the scene I wanted you to hear with.
Speaker 2: They're like, we don't want to say it out loud,
Speaker 2: and then everyone chuckles.
Speaker 8: These people are too fucking smug.
Speaker 10: Yeah, these people sound too confident and too chumming and
Speaker 10: too happy to say things like this.
Speaker 2: That's not good. I don't like these people laughing about
Speaker 2: people losing jobs.
Speaker 8: No, I shouldn't have jobs.
Speaker 2: That's that's a good place to start. Yeah, I don't
Speaker 2: like that either. And the people you're hearing from. Let
Speaker 2: me let me tell you who's in this fucking panel
Speaker 2: who was just laughing about like, well, there will be
Speaker 2: a uh an evolution law. Yeah. So the motherfuckers who
Speaker 2: are all that panel laughing about people losing their jobs.
Speaker 2: Ted Shillowitz literally his name is Shilowitz, futurist at Cinemersion, Inc.
Speaker 5: That's like a j.
Speaker 2: Rebecca Barkin, co founder in CEO laman o One, Aaron Luber,
Speaker 2: Director Partnerships at Google, IPG Media Lab, Layla Emirsadegi, Principal
Speaker 2: program manager at Engineering Microsoft, and Katie Henson, s VP
Speaker 2: post Production at Fear Studios. So those are the people
Speaker 2: who are.
Speaker 5: Are sad, all laughing and like it's like genera of
Speaker 5: AI is like good at like one thing creatively, it's
Speaker 5: good at like streamlining VFX, like workflow to the workflow
Speaker 5: of of how to do like it is it is
Speaker 5: like there's aspect. Famously, the only useful thing it's been
Speaker 5: used for is making people's eyes blue in Dune Part two.
Speaker 2: It's not one hundred billion dollars.
Speaker 5: And like it is applicable for like changing objects into
Speaker 5: other objects on screen. It can produce really like kind
Speaker 5: of odd like uncanny effects that could be utilized by
Speaker 5: a team of human artists. Really well. What it can't
Speaker 5: do is generate a short film that is in any
Speaker 5: way compelling piece well that is anyway compelling as a
Speaker 5: piece of art. Okay, And the fact that they're like
Speaker 5: laughing at how much how much have you lost?
Speaker 2: Enough jobs they have not.
Speaker 10: Or that had structures full to the beauty of the flame.
Speaker 2: Right, although the AI keeps keeps foreboding coming for them
Speaker 2: and wants somethings. I'm going to end on a happy
Speaker 2: note because the last panel I went to was actually
Speaker 2: really cool. It was AI in the Crisis of Creative Rights,
Speaker 2: Deep Fakes, Ethics and the Law, and it featured the
Speaker 2: first intelligent person that I've seen at CES this year,
Speaker 2: Moya McTeer, who is a folklorist and senior advisor at
Speaker 2: the Human Artistry Campaign. It also featured Duncan Crabtree Ireland,
Speaker 2: who's the national executive director and chief negotiator of sag Aftra.
Speaker 2: There we go, There we go, and this was no bullshit.
Speaker 2: It was talking about all of the different lawsuits that
Speaker 2: are going on right now, all of the litigation around AI,
Speaker 2: and like the actual strategy for litigating, and like there
Speaker 2: was a couple of points where like Duncan was like
Speaker 2: a lot is going to hinge on some very brave,
Speaker 2: very famous people choosing to throw down some big dollar lawsuits,
Speaker 2: like that's what we need right now. They did talk
Speaker 2: about the No Fakes Act, which has bipartisan support and
Speaker 2: gives some legal force to allow people to push for
Speaker 2: AI copies of themselves to be taken down. And they
Speaker 2: think there's also some bipartisan possibility to get AI labeling
Speaker 2: like legislation.
Speaker 10: The thing is, any of these things would be fucking
Speaker 10: fight OPA, because if what you have to remove something
Speaker 10: from a model, how the fuck do we do that?
Speaker 2: Yeah, we don't know how.
Speaker 5: You have to throw away the entire model, you.
Speaker 8: Have to retrain, like there's no way around it.
Speaker 2: Yeah, And there was a really good point where kind
Speaker 2: of at the end of this part of what I
Speaker 2: appreciate is again there was no bullshit. Like Moya at
Speaker 2: one point was like, I think it is absolutely it
Speaker 2: being generative. AI is absolutely a net negative for the
Speaker 2: artistic community. The point is, the point is not to
Speaker 2: get something out as quick as possible to like make
Speaker 2: art right.
Speaker 5: And this has to be like one of maybe five
Speaker 5: people who are doing panels at CES who's like willing
Speaker 5: to say that.
Speaker 2: Yes, and Duncan got I was like, look, you can't
Speaker 2: stop the technology from being invented, So the best path
Speaker 2: forward is to like try and channel this into a
Speaker 2: direction that like is at least better for artists, Like
Speaker 2: there were there was very little for most of the
Speaker 2: people on the panel, very little bullshit. There was some
Speaker 2: bullshit from one person on the panel, Jenny Katzman, Senior
Speaker 2: director of Government Affairs from Microsoft. Oh I bet that
Speaker 2: was fun. So after there's this whole point where like
Speaker 2: everyone else in the panels like, yeah, I think it's
Speaker 2: probably in that negative for artists the whole, and Jenny comes
Speaker 2: on she's like, actually, I think it's a net positive.
Speaker 2: And her example of this is, well, you know, think
Speaker 2: there's a lot of stuff that you couldn't do before that.
Speaker 2: Thanks to AI, you could do like d aging Harrison
Speaker 2: Ford for the Indiana Jones movie, something that went over
Speaker 2: very well.
Speaker 5: Everyone everyone loved and a great creative.
Speaker 2: This is the fucking problem with all of this.
Speaker 10: On top of house ship it is and how expensive
Speaker 10: it is, which kind of AI are we talking about?
Speaker 8: That dip shit.
Speaker 10: That's not generative AI, that's not what that fucking waste.
Speaker 5: And it also steals us from being able to cast
Speaker 5: a young River Phoenix's blat lovely thing.
Speaker 2: It's getting cast in more stuff. Garrett, I'm very unfair.
Speaker 5: Well, luckily, with the power of AI.
Speaker 2: Look, I can put into every newspaper sequentially starting in
Speaker 2: eighteen thirty four, So I've not gotten to the end
Speaker 2: of Phoenix. It would be a really long career.
Speaker 5: It would be really cool.
Speaker 8: Sleeping guy.
Speaker 2: I think he's got the bold ideas. This is gonna
Speaker 2: work out really well for Germany.
Speaker 5: It won't be really cool that instead of just doing
Speaker 5: Young Harrison for they just do a River Phoenix deep
Speaker 5: fake for you him. Look it's canonical.
Speaker 2: Yeah great.
Speaker 10: Oh, I love the movies in the future of them too.
Speaker 10: This is so good. This is so bad.
Speaker 5: James mangled, You're a hacking So.
Speaker 2: I gotta say it was very funny because she also
Speaker 2: suggests Jenny, there's we can use animals without causing harm
Speaker 2: thanks to AI, a thing that no one had figured
Speaker 2: out how to do before. Nobody had ever figured out
Speaker 2: how just like not hurt animals in movies that didn't
Speaker 2: exist before a I thank.
Speaker 5: God, thankfully AI will never do any harmed animals or
Speaker 5: the environment.
Speaker 12: Nobody asked the lobbyist for Microsoft, what else the company
Speaker 12: is doing with AI? Right, with police deployments or with
Speaker 12: fossil fuel companies?
Speaker 8: Yeah?
Speaker 2: Is that bad for animals?
Speaker 5: No?
Speaker 12: Actually, it's really good. They they needed it. They yearn
Speaker 12: for the month.
Speaker 2: They love datasets. Great for their habitats. She said, there's
Speaker 2: issues with employment, but there's lots of issues that fall
Speaker 2: around that, and I do think you need a balance.
Speaker 2: And at the end of it, the guy running the
Speaker 2: panel just says, Okay.
Speaker 7: It sounds like you guys are saying a bunch of
Speaker 7: woke ship.
Speaker 2: On this panel. All right, all right, Microsoft, Just once,
Speaker 2: I'd like on the panel someone to go and say,
Speaker 2: what the fuck do you mean? Closest to that that
Speaker 2: you were going to get.
Speaker 5: I think we do need a balance of some people
Speaker 5: being fired like these people, and other people keeping their
Speaker 5: jobs like everyone else.
Speaker 7: Like Moya give somebody has to lose and somebody has.
Speaker 10: To work exactly that's their entire Somebody has the guns,
Speaker 10: somebody doesn't.
Speaker 2: Somebody knows the way the maze works and something.
Speaker 7: He's gonna what, we shouldn't have guns.
Speaker 8: We shouldn't have a man and one of them knows
Speaker 8: the maze and have a gun.
Speaker 2: We should have a gun, mace, you're talking about the gun. Now, Look,
Speaker 2: we all like keeping a couple of people in a
Speaker 2: maze beneath our house. Yeah, there's nothing wrong with this.
Speaker 5: This is just the dormant next this we just we
Speaker 5: keep doing it.
Speaker 2: It's a nice maize under my house they have.
Speaker 8: It's nice to run some of them.
Speaker 10: The minotag gets them only sometimes I'm the minotta.
Speaker 2: Anyway, the gun maze isn't real.
Speaker 10: But also most of their arguments kind of mostly just
Speaker 10: come down to, well, you can't make an omelet without breaking,
Speaker 10: like you have to make people.
Speaker 2: You have to break the human drive to create art. Obviously,
Speaker 2: to make an not taste good an omelet esque food,
Speaker 2: it's a piss omelet, Like there's piss in the omelet,
Speaker 2: and we had to We had to burn down the
Speaker 2: susteined chapel to make the piss omelet. Computer made it, though, yeah,
Speaker 2: and clap for the computer. We did firebomb the louver.
Speaker 2: But look look at look at this rock star.
Speaker 11: Oh god.
Speaker 2: All right, well that's the episode. That's all I got, folks.
Speaker 2: That was my first day at CES twenty twenty five. Huzzah. Yeah,
Speaker 2: this is just my first day.
Speaker 8: Better offlines here all week.
Speaker 10: I'm gonna hear about stuff like this all week, and
Speaker 10: I think I'm gonna be fully jokeified.
Speaker 2: I'm gonna wake up in the clown makeup on Friday.
Speaker 7: I'm gonna find the funnest thing to bring back for you.
Speaker 10: I'm gonna find an artist to put me in full joke.
Speaker 2: Now, I'm gonna try to steal that AI enhanced grill. Yeah,
Speaker 2: grill that tests you can I just like move this around.
Speaker 2: I just want to test that would roll se ail,
Speaker 2: open the door, open the door.
Speaker 10: As someone who's done a lot of like grilling, done
Speaker 10: a lot of spoken barbecue, I don't know what a
Speaker 10: I would do.
Speaker 8: Is it gonna talk to me in the sixth.
Speaker 2: Wait till you are you? Are you trying to tell
Speaker 2: us here at Zra, yes, that you have grilled meat
Speaker 2: without a robot texting you about it? Because I just
Speaker 2: don't believe.
Speaker 8: I don't know how I did it, but I did it.
Speaker 2: You're never always way took the robots. It was impossible.
Speaker 8: Oh god, we're at the death of innovation.
Speaker 2: Yeah, at the end of a lot of things maybe
Speaker 2: and the end of the episode. Yeah, and the end
Speaker 2: of the episode. Thank god. You know, everyone else be
Speaker 2: the cyber truck in the oh, welcome back to It
Speaker 2: could happen here? A podcast about it happening here, which
Speaker 2: is really true in a lot of ways. Tonight, Harrison
Speaker 2: Davis and I are seated at the Glorious Majestical hotel
Speaker 2: name redacted on the Las Vegas Strip. We had a
Speaker 2: long day at CEES Day, listening to panels, catching up
Speaker 2: with the latest tech news, trying gadgets, and also at
Speaker 2: the same time texting our dear friends in Los Angeles
Speaker 2: as unprecedented fire sweep them from their homes. Literally the
Speaker 2: getdiest threatened. Pasadena and Santa Monica are both being evacuated
Speaker 2: as once. It's a real one to two punch of
Speaker 2: America's favorite tech show in the apocalypse today. How are
Speaker 2: you feeling?
Speaker 6: Gear?
Speaker 5: It's an average day in America, average.
Speaker 2: Day in America. Temperature's not coming down anytime soon. No, no, well,
Speaker 2: just take a moment to breathe with that. So you
Speaker 2: want to start us off with what you did this morning?
Speaker 2: I was panel guy yesterday. There was a man of
Speaker 2: action walking around and mostly trying all the free massage chairs.
Speaker 2: What did you see this morning?
Speaker 5: I saw so many AI panels, half of which I
Speaker 5: left halfway through because I knew they.
Speaker 2: Weren't gonna be useful for me, just dogshit.
Speaker 5: The other half I took notes on and just got sad.
Speaker 5: But no, today was full panel starting bright and early
Speaker 5: in the morning, where I walked into a panel where
Speaker 5: I heard augmentation and not replacement about twenty times in
Speaker 5: the span of like twenty minutes.
Speaker 2: Yeah, I keep hearing for of that too. In the
Speaker 2: Hollywood panels, they would be like, yeah, we want to
Speaker 2: develop a machine that can read the brains of our
Speaker 2: viewers and alter the endings of movies, you know, but
Speaker 2: we see this as a way of augmenting the artists work.
Speaker 5: Yes. And the biggest thing that I noticed across multiple
Speaker 5: panels today is an almost like anxiety among these tech
Speaker 5: executives about consumers rejecting the AI slopification of everything, and
Speaker 5: they're trying to find ways to like actually force people
Speaker 5: to start like using these products or having them like
Speaker 5: like it. Yeah, and I haven't really since that anxiety before.
Speaker 5: It's all been very, very positively.
Speaker 2: And I think it's a mix of Number One, the
Speaker 2: money still isn't there where they need it to be.
Speaker 2: It has not started like blooming to the extent that
Speaker 2: they were expecting it by now. And the other part
Speaker 2: is people are still not happy with this stuff. I'm
Speaker 2: glad you felt that too, because that almost was like
Speaker 2: especially after the election, Like, I don't trust my feelings
Speaker 2: on this that they're really scared, but I really do
Speaker 2: think there's a piece of that coming through it.
Speaker 5: No of a phrase one of the panelists used this
Speaker 5: morning was the AI ick, Like how do we how
Speaker 5: do we beat the AI ick? And if you're ever
Speaker 5: saying yourself, how do I stop having people feel an
Speaker 5: ick around me? Maybe you should really look inwards. Yeah,
Speaker 5: maybe the problems you not them.
Speaker 2: You know, who doesn't need to worry about quote unquote
Speaker 2: ick for their product market is people who make things
Speaker 2: that people like.
Speaker 5: So but I heard a lot about, you know, and
Speaker 5: trying to get people to use these products is like
Speaker 5: making sure artists don't feel like they're being replaced instead
Speaker 5: having their like art production process be augmented with AI
Speaker 5: and how how that can make art easier to make
Speaker 5: while still keeping the human at the center of AI tools.
Speaker 5: And this is just what they talked about for like
Speaker 5: a while, while reiterating that lots of the developments they
Speaker 5: need to see on AI they have it on the
Speaker 5: tech side. What they need to rely on is consumer
Speaker 5: acceptance to really drive the innovation. To see like what
Speaker 5: they can get away with, like how much will the
Speaker 5: consumer accept the sopification of our to entertainment and customer
Speaker 5: service and all these things are trying to cram AI
Speaker 5: into and like.
Speaker 2: How much worse can you make the world before people
Speaker 2: stand up and stop you with their fists or guns.
Speaker 5: And you mentioned something about like trying to like tailor
Speaker 5: like movie endings for specific people, and I definitely heard
Speaker 5: them stuff about that. There's this one guy who is
Speaker 5: who was like the panel's resident like content creator whos
Speaker 5: supposed to represent like the artist block, even though he's like, eh, yeah,
Speaker 5: you know, some kind of like AI friendly content creator
Speaker 5: though on this panel, and he talked about how like
Speaker 5: back in the day, you need to have friends that
Speaker 5: would like recommend your music, and like the Spotify algorithm
Speaker 5: is is too based on like an echo chamber of
Speaker 5: what you already like, but now with a gentic AI
Speaker 5: this allows trust between the consumer and the machine to
Speaker 5: recommend new music. And like again, like so much of
Speaker 5: these air products is just trying to like replace friendship.
Speaker 2: People. Have you friends? Have you tried people?
Speaker 5: How can you engage with like art and culture without friends?
Speaker 5: How can you like learn more about like what your
Speaker 5: friends are into what they like? How can you discover
Speaker 5: new music just like without that instead replacing that beautifully
Speaker 5: human process.
Speaker 2: Every year at cees, there are points in time where
Speaker 2: I get that, like, oh yeah, twenty twenty really fucked
Speaker 2: us up a lot, Like twenty twenty really did some
Speaker 2: lasting damage. Like I know it was that was happening
Speaker 2: with the younger generation before the iPad kid generation, but
Speaker 2: like that that really did a number on some folks.
Speaker 5: Someone from Meta right of Facebook specifically they're like metaverse division,
Speaker 5: which they're still trying to push.
Speaker 2: For by the way, Oh yeah, now, I mean they're
Speaker 2: still calling it meta, which honestly there's a degree which
Speaker 2: I almost respect it because we are not binding on
Speaker 2: no one is.
Speaker 5: But she talked about how they can like blend the
Speaker 5: metaverse and AI to make customized personal experiences. Say that
Speaker 5: you're watching an immersive live concert in mixed reality, something
Speaker 5: that both me and Aubert do all at the time, and.
Speaker 2: I mixed red hairy style mixed reality concerts. We're seeing
Speaker 2: the one hundred gets you.
Speaker 5: Know, honestly, a one hundred GEX mixed reality concert could
Speaker 5: go crazy.
Speaker 2: Here, We'll finally I'll finally get you pilled on real
Speaker 2: big fish.
Speaker 5: But Basically, as you're in this like metaverse concert, they
Speaker 5: can have an AI that will sense your own excitement
Speaker 5: and personalize the ending of the experience based on your
Speaker 5: favorite songs or artists. So as they're getting excited from
Speaker 5: like AI, Taylor Swift can like finish the song like
Speaker 5: for you based on like your own like musical tastes,
Speaker 5: based on what the AI knows about you. And it's
Speaker 5: about creating these customized experiences.
Speaker 2: It's such a you can clearly tell that none of
Speaker 2: these people have souls, right, It's such a mismatch of
Speaker 2: what people get from music because they think that like, oh,
Speaker 2: this is just like a if I see that like
Speaker 2: this specific beat line is I can just sort of
Speaker 2: like plug this in and like I don't know, Like
Speaker 2: what makes people react to musicians and artists is that
Speaker 2: they like make things that make them feel something like
Speaker 2: That's why people get like really into artists, is they
Speaker 2: feel seen and I identify with a piece of art
Speaker 2: as opposed to like, oh, oh, that guy really like
Speaker 2: the first opening bars to fucking Octopuses Garden, Like, let's
Speaker 2: let's just like really turn up the octopus a lot
Speaker 2: more octopuses? How many more octopuses. Can we fit in
Speaker 2: this fucking in this track?
Speaker 1: No.
Speaker 5: Another panel I went to later in the day was about,
Speaker 5: like how do you market to gen z? Very funny panel. Yeah,
Speaker 5: and and they're talking about how like authenticity is so important,
Speaker 5: like you need to partner with influencers that have like
Speaker 5: have like an authentic brand, and it's funny having that
Speaker 5: ductionapost with like these like these like AI slot panels
Speaker 5: were like you need like an AI Taylor Swift to
Speaker 5: come like boost the excitement for all these kids who
Speaker 5: are in their metaverse concerts. Oh boy, But no, like
Speaker 5: personalized content like like targeting, like ai AI generated content
Speaker 5: specifically for certain people, for certain users, whether that's on
Speaker 5: social media, whether that's on you know, the metaverse. Like
Speaker 5: some of these people talk about someone on the panel
Speaker 5: from Adobe, who's you know, Adobe's integrating a whole bunch
Speaker 5: of gen Ai into their like suite of products, right,
Speaker 5: like a Photoshop premiere after effects, right, big big company
Speaker 5: in the create A space. He said that, like the
Speaker 5: personalized content is always the most impactful, like content that
Speaker 5: a person feels like a genuine connection to, and that
Speaker 5: connection could be formed by just being like, you know,
Speaker 5: a compelling artist where you can recognize shared experiences of
Speaker 5: shared experiences of humanity. But now you don't need that
Speaker 5: artist part anymore. He said, they only need three parts
Speaker 5: to create a pipeline. You need data, you need compelling
Speaker 5: like journeys to take the user on, and you need
Speaker 5: the content itself. And the goal is to create content
Speaker 5: at scale that's highly personalized. He said quotes. We're good
Speaker 5: at the first two parts. Now we just need to
Speaker 5: improve the actual content side, which I don't even think
Speaker 5: that's true. I don't think AI is good at creating
Speaker 5: compelling human journeys.
Speaker 2: I had it. So the video I didn't play you
Speaker 2: guys from my terrible fucking AI generated videos was this.
Speaker 2: It was like a girl coming to college, we need
Speaker 2: a picture of her dad, and it was like a
Speaker 2: narration of her life with her father who like is
Speaker 2: dead that she misses and all that she learned from Dada,
Speaker 2: and it like it's a mix of like all these
Speaker 2: different Like there's a chunk where it looks like a
Speaker 2: Disney animated picture, there's a chunk where it looks like anime.
Speaker 2: She and her dad having these like adventures around the world.
Speaker 2: There's a bit of it that looks like a Marvel
Speaker 2: movie and he's like, we can do all of these
Speaker 2: different you know, animation styles and they're seamless and like,
Speaker 2: you know, the audience really goes on a journey with this,
Speaker 2: and it's it's like, but there's there was no girl
Speaker 2: who lost your dad. Nobody lost their dad here. This
Speaker 2: is you just had a computer generate text about a
Speaker 2: dad dying. Like there's nothing underpinning this, right, nobody has
Speaker 2: anything they're trying to get across, Like you just know
Speaker 2: in this one they look like Marvel heroes for some reason.
Speaker 2: In this one they look like Zulu warriors kind of
Speaker 2: done up in a slightly racist lion king style. Like
Speaker 2: what is being transmitted other than like, look at all
Speaker 2: of the different art styles we can rip off.
Speaker 5: No, they do not have a journey. But even they
Speaker 5: themselves admit that they still don't have the content. The
Speaker 5: content it's elf still isn't even there. And that's something
Speaker 5: like they even acknowledge. And this is like a hurdle
Speaker 5: to this is this is a hurdle to get over.
Speaker 5: What they do have is the data. And like this
Speaker 5: is like something that Adobe has done, because if you
Speaker 5: use Adobe products now some of the most used creative products.
Speaker 5: Adobe trains all the all of their AI systems on
Speaker 5: the stuff that you make using their products, which you know,
Speaker 5: he really just blazed past that point because that's that's
Speaker 5: a whole other discussion. But even they know that they
Speaker 5: don't have like the actual products, and this is still
Speaker 5: reliant on like consumer acceptance. As as they said before,
Speaker 5: someone from Meta, the same person on the panel that
Speaker 5: talked about how like a few days ago on Instagram
Speaker 5: they tried to announce like you'll have like AI profiles right,
Speaker 5: like like completely AI generated pictures profiles, like you know,
Speaker 5: like fake people who have their own accounts, and this
Speaker 5: created such a big backlash that they rolled this back
Speaker 5: and they simply announced this before Cees.
Speaker 2: One of these accounts was literally like I'm a mother
Speaker 2: of two, queer black woman. You know, yeah, I got
Speaker 2: a lot to say about the world.
Speaker 5: Someone call up the situationists please, And some like people
Speaker 5: started talking to her like we're any black people at
Speaker 5: all involved in like making this chat Bob.
Speaker 2: She's like, well no, and that's a real problem. That
Speaker 2: is a real problem, Okay.
Speaker 5: Yes, And the excuse that this person from Meta said
Speaker 5: is that the market just isn't ready yet. It's not
Speaker 5: that the actual product itself is like bad or like
Speaker 5: no one really wants. The market's not ready yet.
Speaker 2: Well, they're so used to everything that they've done so far.
Speaker 2: They've kept getting money right, and like it slowed down
Speaker 2: and they've had to do layoffs, but like nobody's just
Speaker 2: made them stop at any point, which, honestly, you know,
Speaker 2: I made a comment about healthcare executives a while back,
Speaker 2: needing like a fucking retirement plan paid in millimeters. So
Speaker 2: I'm not going to make that same comment about tech
Speaker 2: industry rules because you know, we all know what's in
Speaker 2: the news. But something has to be done to force
Speaker 2: these people to stop moving in this direction. And I
Speaker 2: don't know how to get across, and like they're already
Speaker 2: at this point, like they seem to really want not
Speaker 2: want this, and we have to find a way. They're
Speaker 2: just not ready. We have to find a way to
Speaker 2: force this on them. Ideas, I don't know how to
Speaker 2: get across to them in a peaceful manner. Oh oh sorry,
Speaker 2: people don't want this. I'm a man of peace, Garrison.
Speaker 2: I'm a man of peace. I'm not a plumber.
Speaker 5: The last thing I had to add out of this
Speaker 5: panel just in terms of how much this stuff is
Speaker 5: just actually taking over more and more of the market
Speaker 5: even if people don't want it. Is that the guy
Speaker 5: from Adobe announced it in the fourth quarter of last year.
Speaker 5: They were able to boost all of the Adobe's like
Speaker 5: you know emails. If you send like an email to Adobe, right,
Speaker 5: you have a problem, like you need help. But like
Speaker 5: everything that they do on emails is now one hundred
Speaker 5: percent generated by AI. And this was boosted from fifty
Speaker 5: percent at the start of last year. Now it's one
Speaker 5: hundred percent of all of their email content is now
Speaker 5: done by AI with some moderation.
Speaker 2: There comes like when the company itself is like communicating
Speaker 2: with customers through email.
Speaker 5: That's that's what it sounded like.
Speaker 2: Yes, they're still writing emails sometimes to each other or
Speaker 2: AI for that too.
Speaker 5: He described it as like email content, So I'm pretty
Speaker 5: sure it is like content then customer service stuff like marketing,
Speaker 5: maybe like outreach, like certain like outreach things. But yeah,
Speaker 5: now generated by AI with some human like moderation. But yeah,
Speaker 5: that is where things are moving. And that's how I
Speaker 5: started my morning.
Speaker 2: Well better than a cup of coffee. Is that sense
Speaker 2: of creeping dread that, Like, wow, I just saw a
Speaker 2: bunch of people who will probably would rather kill the
Speaker 2: world than be stopped from shoveling AI slop into people's mouths,
Speaker 2: because this is the only future they can imagine is
Speaker 2: one in which they work for a company that feeds
Speaker 2: the planet poison and kills the human concept of creativity
Speaker 2: so that they can buy a house in San Francisco.
Speaker 5: Do you know what I want to feed the concept of.
Speaker 2: Yeah, we'll talk about that, but here's some ants. We're back.
Speaker 2: What was part two of this episode? That's be buddy,
Speaker 2: I'm a oh, let's talk about that helicopter.
Speaker 5: No, yeah, I think as I was going from panel
Speaker 5: to panels stripling notes on AI has some very exciting
Speaker 5: news stories drop that we'll talk about later. What were
Speaker 5: you up to, Robert.
Speaker 2: Well, I was. I was trawling the show floor as
Speaker 2: I off to do at some point in a cees
Speaker 2: and I came across a number of majestic products. You know,
Speaker 2: a lot of it was AI based, and we'll talk
Speaker 2: some more about that here, but I ran into something
Speaker 2: that was, thank god, had nothing to do with AI,
Speaker 2: and it's a death trap. Every every one of these.
Speaker 5: There's like some sort yes, we find a new death.
Speaker 2: There's a lot of connected vehicles. There were a lot
Speaker 2: of evs last year. There were a ton of different
Speaker 2: flying taxi type options. People that were really trying to.
Speaker 5: You don't see it all this year.
Speaker 2: Nothing this year, nothing this year, because it's a terrible idea.
Speaker 2: It's a terrible idea. The people who are rich enough
Speaker 2: to pay for flo flying vehicles don't want it to
Speaker 2: be a taxi, and the people who can't afford their
Speaker 2: own flying vehicles also can't afford anyway. So this is
Speaker 2: instead of any of that Richter Richter ri ct O
Speaker 2: R which is a Chinese company. Their ads say, I'll say,
Speaker 2: why be normal? Are saying this the future of travel
Speaker 2: will not be on the ground. And the Richter is
Speaker 2: a hybrid. It is like a smart car style sized vehicle.
Speaker 2: It's like it only has two wheels, though it looks
Speaker 2: more like a scooter. It's more like a weird little scooter,
Speaker 2: but it's fully enclosed and in addition to having its
Speaker 2: wheels and being able to travel about on the ground,
Speaker 2: it has four like quadricopter style rotors. Because it is
Speaker 2: an aquatic flying car aquatic flying i. Saw no evidence
Speaker 2: that could actually go in the water.
Speaker 5: How high can these things go up?
Speaker 2: Less than two hundred meters? You know why, Garrison?
Speaker 5: Why?
Speaker 2: Why is that? Because if you try to go up
Speaker 2: that you need a pilot's license.
Speaker 5: You don't need a pilot's license.
Speaker 8: I have that.
Speaker 2: When I was interviewing them, I was like, so I
Speaker 2: assume there's gonna be some sort of pilot's license for
Speaker 2: this flying craft. And they're like, no, as long as
Speaker 2: you stand or two hundred meters you get, do you
Speaker 2: need drivers?
Speaker 4: Like?
Speaker 5: Are you gonna put a license plate on this? Or
Speaker 5: is there's no space for one?
Speaker 8: Buddy?
Speaker 5: Completely unregularly to be.
Speaker 2: Honest, and I don't say this for any problematic reason,
Speaker 2: but like, these folks are Chinese and did not seem
Speaker 2: to have a great deal of knowledge about the US words.
Speaker 2: Sure that said, I can't imagine China's less strict about
Speaker 2: personal aircraft.
Speaker 5: I would like to take this fucker on the I five.
Speaker 2: Just start.
Speaker 5: Start zooming. Yeah, see it up in the air, because
Speaker 5: you could probably do like a pretty a pretty good
Speaker 5: road trip on this right you can you can you
Speaker 5: can move about that.
Speaker 2: So it's very small and it's completely electric. So I
Speaker 2: asked him, how much time do you get in the
Speaker 2: air with this bad boy on battery? Maybe twenty five minutes?
Speaker 2: What happens after twenty minutes. I did ask this and
Speaker 2: I was like, this is just rough out of the sky,
Speaker 2: and they were like, no, we're working on like a
Speaker 2: like an intelligent thing that will like yeah, which is
Speaker 2: also very exciting, really looking forward to seeing how they
Speaker 2: pull that off. The videos that they have show it
Speaker 2: driving on the highway too. They weren't able to tell
Speaker 2: me what a top speed was. It has no rear
Speaker 2: view mirrors and no side view mirrors, but they said
Speaker 2: there's lots of cameras on the inside, so I'm sure
Speaker 2: that's fine. It's a death trap. This thing will get
Speaker 2: everyone who even looks at it wrong killed. They should
Speaker 2: be a video of the prototype. It was completely frameless.
Speaker 2: It was just quadr coopter blades and like a chair
Speaker 2: on a platform lifting a guy into the air. It
Speaker 2: couldn't go forward or backwards. But they're like, a year,
Speaker 2: we can have this figure out.
Speaker 5: It can't. It can't move forward.
Speaker 2: It only only went up in the videos I saw,
Speaker 2: so you can't actually travel absolutely not by the way.
Speaker 2: I couldn't fit in this thing like you would be
Speaker 2: cramped in this fucker.
Speaker 5: But it's good for vertical travel.
Speaker 2: It's great if you just need to go up to
Speaker 2: under two hundred meters, there's no more efficient ways.
Speaker 5: If you're gonna pull over by the cops, you just.
Speaker 2: Just go up above them. I'm in the sky. Now
Speaker 2: you get new shit to me for twenty five mass minutes.
Speaker 2: Oh god, it's like if you're just driving, you go
Speaker 2: up to one hundred kilometers, which made me think, so
Speaker 2: a second, that's like sixty the AAR for twenty minutes
Speaker 2: than I land. Then my battery is dead.
Speaker 5: Then you can't go anywhere.
Speaker 2: You can't go anywhere. You can get back.
Speaker 5: The battery issue is gonna is gonna be troubling.
Speaker 2: But it seems completely useless.
Speaker 5: But as we've heard NonStop the past two days, this
Speaker 5: is the worst it's gonna be.
Speaker 2: This is the worst it's gonna be. Only gonna get better. Things,
Speaker 2: only ever get better. That's that's what everyone was trying
Speaker 2: to insist upon to me. Here, what else did you
Speaker 2: see on the show floor that caught your off Garrison?
Speaker 2: So many magical, wonderful, marvelous things, most of which were
Speaker 2: just like various different AI connected smart houses. That was
Speaker 2: what Samsung was showing off. That was what LG was
Speaker 2: showing off. I believe you saw one as well, right, Yeah,
Speaker 2: I mean I I walked through the l G booth.
Speaker 5: It was kind of the same as same as last year.
Speaker 5: The Samsung booth was too intimidating. But I should check
Speaker 5: it out because last year we didn't do the Samsung
Speaker 5: booth because we were going to and then either either
Speaker 5: one of us threw up or spilled something.
Speaker 2: Hey, okay, okay, yes, right?
Speaker 5: Did I did I.
Speaker 2: Pour my crative into a constant into a carbonated beverage
Speaker 2: that spewed a geyser a blood red foam into the
Speaker 2: sky around to.
Speaker 5: The white Samsung guard.
Speaker 2: Did the security guard stare at me as it happened?
Speaker 2: Did I set the drink down as it continued to
Speaker 2: spew and said, I'll go get some towels and then
Speaker 2: leave forever.
Speaker 5: Wet towels left.
Speaker 2: We fucking bounced, So.
Speaker 5: We couldn't do this some booths last year. Maybe I'll
Speaker 5: try this year. But tell me about these smart houses.
Speaker 2: Well, Garrett sam Sumi has a great idea for a
Speaker 2: smart house. First of all, you remember that game the Sims. No,
Speaker 2: well they're really betting that you do, because their current
Speaker 2: plan is design your home with the AI powered map views. Okay, okay,
Speaker 2: sure you get like you feed it like a picture,
Speaker 2: you like, you lay out your your floor, planning your house,
Speaker 2: and it gives you like a three D model, and
Speaker 2: you can take pictures of your furniture or pictures of
Speaker 2: furniture that you want, and then it really places it
Speaker 2: around and you can place them. Now, a couple of things,
Speaker 2: one of them is that there's no scaling done by
Speaker 2: the AI, so it's up to you to figure out
Speaker 2: how the furniture you might want to buy measures up
Speaker 2: in comparison to the apartment.
Speaker 5: Sure.
Speaker 2: Sure, but it does look like the actual like map
Speaker 2: that they've got. I'll show you the picture that I took.
Speaker 2: I'll try to put it up somewhere like it looks
Speaker 2: like the video game the Sims. You're populating like a
Speaker 2: little three D CG house. And I was like, okay,
Speaker 2: well there's there's a use there, right. People like planning
Speaker 2: out like you're you're moving into a new apartment. You
Speaker 2: can like fill it in here and before you even
Speaker 2: move in, you can figure out what kind of furniture
Speaker 2: you need or how you're existing furnish will fit in there.
Speaker 2: I would never have used that. I usually picked up
Speaker 2: all of my furniture from the trash before I had
Speaker 2: a house when I moved into a new place. But
Speaker 2: I know people who would have used that. Sure, that
Speaker 2: seems useful. So I talked about security. Some one thing
Speaker 2: that concerned me is like the first guy I talked,
Speaker 2: he was like, oh, yeah, I think it's all stored locally.
Speaker 2: And I was like, so Samsung doesn't have any access
Speaker 2: to any of the data on like my house and
Speaker 2: it's layout. And he was like, let me, let me
Speaker 2: get you to one of our engineers because he can
Speaker 2: answer that question. And the engineer's answer was, and I'm
Speaker 2: paraphrasing here.
Speaker 5: Oh okay.
Speaker 2: So that made me very confident.
Speaker 5: That does make you feel safe about sharing your personal data?
Speaker 2: Right, yeah, I'm the layout of my actual house.
Speaker 3: Well.
Speaker 5: And the thing is, I really don't like that at all,
Speaker 5: because this is this is something that people were asking
Speaker 5: Facebook slash meta when they were doing like their you know,
Speaker 5: like metaver stuff because their headsets are recording you know,
Speaker 5: very very extensively, like your home layout and the whole point. Well,
Speaker 5: part of the point was that some of that data
Speaker 5: could then be used to send you targeted advertisements based
Speaker 5: on them seeing everything in your home. And I suspect
Speaker 5: that Samsung might also have some interest in targeted advertisements,
Speaker 5: being a tech company, but you know, I could never say.
Speaker 2: Yeah, and they were that wasn't really One thing they
Speaker 2: had is for like their retail segment, they had like
Speaker 2: a live video grocery store ad showing you prices of
Speaker 2: different produce and I think like the insinuation that didn't
Speaker 2: layout is like you can change prices on the fly,
Speaker 2: you know it, which kind of made me think about that.
Speaker 2: There was some talk last year of like, Okay, we
Speaker 2: want to be able to like face scan customers so
Speaker 2: we can see if they have money and increase prices
Speaker 2: for like products for certain people, which I'm sure they're
Speaker 2: going to try. They are too enticed by that idea
Speaker 2: not to so I caught a little bit of that,
Speaker 2: But they really like to the extent of how big
Speaker 2: And this was an interesting last year Samsung and LG
Speaker 2: their boots were huge and they had a lot of
Speaker 2: get different gadgets. Samsung's booth is big this year, forty
Speaker 2: percent of it was that scan your furniture, scan your
Speaker 2: fucking like map acts, not that much like, very little
Speaker 2: actual shit going on.
Speaker 5: The people slapped the word AI onto everything there was.
Speaker 2: Another big thing was all Samsung, because Samsung makes a
Speaker 2: ton of appliances, they make TVs, all sorts of entertainment products.
Speaker 2: All of them have this I figure what they called
Speaker 2: like Samsung tag or something that you can you can
Speaker 2: map it in your phone, so you can have a
Speaker 2: whole map of all of the devices and shit that
Speaker 2: you have in your phone and you can control them
Speaker 2: all from a single point. And right, no one, by
Speaker 2: the way, had any interest in answering my security questions there.
Speaker 2: But also if you're into that, if you want to
Speaker 2: have all of your appliances and entertainment things linked up
Speaker 2: and controlled on your phone and all of them are Samsung,
Speaker 2: you don't care. You don't care.
Speaker 5: No, if you're getting a smart home, I don't think
Speaker 5: you really care about that.
Speaker 2: But also none of it was like, yeah, I can
Speaker 2: control everything from my phone. You've been promising me that, literally,
Speaker 2: like in twenty eleven. It's decades they were promising me
Speaker 2: You're gonna be able to control your whole house.
Speaker 5: Thing feels new this year. This is the thing. Is
Speaker 5: like even walking through the LGBO, which usually has some
Speaker 5: really cool new thing this year nothing new. No, nothing new.
Speaker 5: They slapped the word AI on one corner of their
Speaker 5: television set. Right, I guess lg does have like a
Speaker 5: large language model in like one corner of their booth,
Speaker 5: but like, so does everyone else, Like that's not like,
Speaker 5: yeah compelling.
Speaker 2: There was sk which is a South South Korea company
Speaker 2: there booth again the massive like AI a big thing,
Speaker 2: but it's nothing.
Speaker 5: It's just a big visual.
Speaker 2: Display that looks cool, that looks like a bunch of
Speaker 2: server racks, like you're in this huge cube of servers.
Speaker 2: But everything does in different actual products. One of them
Speaker 2: was real time CCTVs that use an AI like an
Speaker 2: M type thing to summarize pictures. So I like walked
Speaker 2: through and it did pick me out as a notable person.
Speaker 2: So I've got like this people of interest thing where
Speaker 2: it's like a man holding a smartphone standing next to
Speaker 2: another man. But also I'm like, what does that really
Speaker 2: get you? Like the fact that you're summarizing up like
Speaker 2: these people who are like this person's kneeling and taking
Speaker 2: a pictures person standing because I like actually tried deliberately,
Speaker 2: I like reached my bag to try to be suspicious.
Speaker 2: I like did finger guns and it never marked me out,
Speaker 2: and like I didn't pull a real gun or anything,
Speaker 2: because I very rarely bring that to the cees for
Speaker 2: But I don't know, like I can see how there
Speaker 2: could be a utility there if you're actually able to
Speaker 2: say you're setting up like surveillance outside of a residential
Speaker 2: building and it can alert security that like something is
Speaker 2: happening outside. There's a potential you if it's good enough
Speaker 2: utility in that that they didn't display it at the show.
Speaker 2: It was literally just describing randos from the audience, And like,
Speaker 2: I just don't see how a security guy is there's
Speaker 2: a guy with a phone on outside of the building, Like.
Speaker 5: Ah, yeah, no, it's it doesn't seem very new, it
Speaker 5: doesn't seem very innovative. Nah.
Speaker 2: So again when I'm when I'm seeing here overwhelmingly for
Speaker 2: all to talk about, like there's no resisting it. AI's coming.
Speaker 2: It's going to dominate everything. This is the next big thing.
Speaker 2: A remarkable lack outside of what I will say, the
Speaker 2: one thing where there are continuously new products that are
Speaker 2: better every year. The smart glasses, yes, they're getting more impressives.
Speaker 2: I don't think I'll ever be a smart glasses guy.
Speaker 2: I hated glasses enough that I let them shoot me
Speaker 2: in the eye with lasers. Shout out to our lacek sponsors.
Speaker 2: But I see why people would like it, and there
Speaker 2: seems to be legitimately substantial utility.
Speaker 5: If we have high power smart glasses. Yeah, that looks
Speaker 5: like a regular pair of glasses. I will get a
Speaker 5: pair eventually, because yeah, why not.
Speaker 2: There was a great demo. I'm pulling over to an
Speaker 2: LAWK view. They had like one glass that was the
Speaker 2: first world smart glasses for TikTok Life. Not particularly excited
Speaker 2: about that. But they had another set of ar glasses
Speaker 2: with a twelve hour battery, where like, if it works
Speaker 2: as well as the demo, and that's a big if,
Speaker 2: but it seems to like your smart watch. So it'll
Speaker 2: tell you you can see in a heads up display
Speaker 2: as you're cycling, that was the demo. It'll both like
Speaker 2: give you directions like in your eyes, and it seemed
Speaker 2: to be like fairly well thought out, so it's not
Speaker 2: like overly corrupting your view. It'll show you your heart rate.
Speaker 2: You know, it'll show you like all that kind of stuff.
Speaker 2: So you get like a useful degree of control and
Speaker 2: assistance from that kind of thing. And that is I
Speaker 2: will say the last three cees is the glasses get
Speaker 2: a little better and a little smaller every year. Smaller, certainly,
Speaker 2: I would say that's a real product that's probably going
Speaker 2: to continue to improve.
Speaker 5: Do you know what else always seeks improvement, Robert No,
Speaker 5: The capacity for you to get personalized possibly AI powered ads. Well,
Speaker 5: that human is exciting form the consumer choices. Let's all
Speaker 5: sit down for some AI powered ads.
Speaker 2: Wow, I can't believe they put Jay Shetty's voice the
Speaker 2: d aged Harris and Ford the latest in Handed Jones movie,
Speaker 2: My Dick's Hard. How are you Garrison? Oh?
Speaker 5: I feel good because today, as we are recording this,
Speaker 5: it's late Tuesday night, there was a series of fascinating
Speaker 5: breaking news articles that happened as we were sitting or
Speaker 5: at least as I was sitting in on these AI panels,
Speaker 5: which made it hard to not just like completely interrupt
Speaker 5: everything and be like, yeah, hey, hey, any comment on this.
Speaker 2: Guys, Guys, something real happened. Shut your fucking stupid mouds
Speaker 2: about this AI Hollywood bullshit.
Speaker 5: So yeah, So a few weeks ago, if you were unaware,
Speaker 5: a Green Beret rented a test the cyber truck to
Speaker 5: feel like Batman and Halo and drove to first the
Speaker 5: wrong Las Vegas and then eventually Las Vegas, Nevada, parked
Speaker 5: outside of the Trump Hotel and Casino and then loo
Speaker 5: himself up. And this has been a big news story.
Speaker 5: It happened during the same day as a pretty horrible
Speaker 5: terrorist attack in New Orleans, which resulted in about fifteen
Speaker 5: people dead, done by a guy who was employed by Deloitte,
Speaker 5: a frequent frequent CES sponsor. So this this, these felt
Speaker 5: like a very Cees style of attacks, you know, one
Speaker 5: delowed guy driving into people, murdering hosh you guys. And
Speaker 5: then this cyber truck explosion in Vegas like a week
Speaker 5: before Cees, you know, very odd. And then and then
Speaker 5: Robert some news drops today that I would love to
Speaker 5: hear you announce.
Speaker 2: You know, Garrison. I made a comment the other night
Speaker 2: about how like it's pretty well documented that veterans, you know,
Speaker 2: not that they're more likely to carry out violence, but
Speaker 2: when they do, they tend to have higher body counts
Speaker 2: because they have more skills. It turns out I thought
Speaker 2: we were getting more literal bang for our buck training
Speaker 2: Green Berets than we are. My assumption is because my
Speaker 2: uncle was a Green Beret and he did some very scary,
Speaker 2: probably wore crime shit in Vietnam, and I assumed like thatman,
Speaker 2: I'll tell you one thing about my uncle, Jim, that
Speaker 2: man could make a bomb. That man would not need
Speaker 2: to ask anyone for advice if he needed to make
Speaker 2: a bomb. He's not with us anymore. God rest his soul.
Speaker 2: But it turns out this Green Beret, who you know,
Speaker 2: a fucking dollar store TJ Max version of the Green
Speaker 2: Berets is what we're working with now, asked chat Gpt
Speaker 2: how to build a fucking bomb, and it sounds like
Speaker 2: he was trying to make it triggered by Tannerit with it,
Speaker 2: which is a bipartite explosive compound that you use as
Speaker 2: like an exploding target, so it'll go boom big, but
Speaker 2: you have to shoot it with something like a rifle
Speaker 2: that's high velocity, or use like a blasting cap. Otherwise
Speaker 2: it's very stable and very safe, which obviously has use.
Speaker 2: You know, it was invented actually to set off avalanches
Speaker 2: and stuff anyway, because that's very available in very high power.
Speaker 2: He was looking to like fill his car with that
Speaker 2: and then shoot it with a rifle while he was
Speaker 2: in it, and that's what he was asking chat gpt about.
Speaker 2: So it's not clear to me. Actually, the actual headline
Speaker 2: is that like he used chat gpt to make his bomb.
Speaker 2: It seems and I'm not privy to what the police
Speaker 2: are obviously, but it seems like based on what I
Speaker 2: read in the article, we're not or if he actually
Speaker 2: used chat gpt to make a bomb. It's more that
Speaker 2: he was interested in making a bomb setting off tannerite
Speaker 2: by shooting it, but may have ultimately decided not to
Speaker 2: do that because he would then be alive for the explosion,
Speaker 2: which he didn't want to be. Also, the authorities don't
Speaker 2: seem to fully know how he triggered it. Yeah, so
Speaker 2: it's still kind of unclear to me. I guess hopefully
Speaker 2: we'll get more later. But he he definitely needed chat
Speaker 2: GPT's help to try and figure out how to make
Speaker 2: the bomb.
Speaker 5: He's certainly used chat gpt in the planning process of
Speaker 5: this attack.
Speaker 2: Yeah, fair to say that.
Speaker 5: And It's odd because both me and you spent a
Speaker 5: number of hours today actually like attending like demos from
Speaker 5: like these you know, speech to text, text to speech
Speaker 5: AI systems. We went to like two specific ones that
Speaker 5: they like, you know, demonstrated demonstrated the capabilities of their
Speaker 5: like you know, like AI assistive tech. The first one
Speaker 5: we went to spent twenty minutes talking about how they're
Speaker 5: bigest inspiration there quote unquote. North Star was the movie
Speaker 5: Her with Joaqui Fi.
Speaker 15: They had a whole slide about how that was the
Speaker 15: gold standard for AI human communications. The movie Her, in
Speaker 15: which Joaquin Phoenix falls in love with an AI chatbot
Speaker 15: voiced by Scarlett Johansson who hires a prostitute to have
Speaker 15: sex with them while she participates vocally. And then it
Speaker 15: turns out the AI is really kind of Polly and
Speaker 15: Joaquin Phoenix is not okay with that, and then maybe
Speaker 15: the ais all go to space. It's kind of unclear
Speaker 15: at the end. I don't think it was a great movie.
Speaker 15: A lot of people liked it. I don't see whether
Speaker 15: you or not you like it, why this is your
Speaker 15: vision of how what chatbot should work.
Speaker 5: The actual chatbot they had was like fine. It was.
Speaker 5: It was. It was actually pretty good at translation, you know,
Speaker 5: translitting from Spanish to English.
Speaker 2: It works quite well. Yeah, the demo was like solid,
Speaker 2: It was pretty accurate.
Speaker 11: You know.
Speaker 2: I love coming here and fucking with people. I love
Speaker 2: like being a dicky. They asked for a volunteer, and
Speaker 2: at that point we knew about the chat GPTs. I
Speaker 2: wanted to go up and ask, like live this robot
Speaker 2: to like help me make a bomb. But the guy
Speaker 2: who was pretty handsome and like an interesting like English
Speaker 2: Spanish like that you specified he was, and he didn't
Speaker 2: want to be mean to him. He seemed nice, handsome.
Speaker 2: Girl wasn't shitty like he was. There were just ten
Speaker 2: people in this room that was supposed to have two hundred.
Speaker 2: I'm sure she wasn't the one that talked about her.
Speaker 5: That was someone else.
Speaker 2: That that was someone else at his company. And like
Speaker 2: he just seemed like he wanted to do I didn't
Speaker 2: want to be a dick to it. No, no, and
Speaker 2: like it it wasn't hurting anything.
Speaker 5: It was fine. Like similarly, we went to this a
Speaker 5: nice jaw line, we went to this other one about
Speaker 5: this like actually a much more dubious concept in my mind,
Speaker 5: which is like this this AI assistant to help like
Speaker 5: elderly people, like people in like their eighties and nineties
Speaker 5: who don't want to be an assistant living facilities, who
Speaker 5: have been living on their own, but they're getting to
Speaker 5: the point in their life where like they need like
Speaker 5: some degree like in home care.
Speaker 2: He specified. A lot of them are people who have
Speaker 2: either just lost a spouse or maybe their spouse is
Speaker 2: aging faster and worse than them. It is no longer
Speaker 2: really able to be the kind of companion that they
Speaker 2: were before.
Speaker 5: Yeah, so it's like this. It's both like a conversation tool.
Speaker 5: It helps like memory recall. It's kind of in some
Speaker 5: ways has the features that like, you know, someone in
Speaker 5: their sixties would just use their smartphone for it to
Speaker 5: help keep in touch with their family. It's kind of
Speaker 5: simplified and more automated, so you know, ways to help
Speaker 5: keep in touch with like your family can prove like
Speaker 5: your memory, like talked about your own life.
Speaker 2: And the device is weird. It's about the width of
Speaker 2: like a bedside table maybe six to eight inches deep,
Speaker 2: So think about like eighteen inches long to maybe six
Speaker 2: inches deep something like that. Half of it is like
Speaker 2: a little tablet, like a seven inch tablet with a speaker.
Speaker 2: Half of it is something about the shape and size
Speaker 2: of a head on like a neck that can pivot
Speaker 2: and nod on the neck. There's no face, so when
Speaker 2: it's talking, there's like a white light in the center
Speaker 2: of it that kind of like pulses in time with
Speaker 2: the the speaking that it does. So we saw this
Speaker 2: picture of the device and we saw the description of
Speaker 2: like this is an AI companion for the elderly, and
Speaker 2: we were both like, number one of these people are
Speaker 2: gonna be monsters. This is going to be like something
Speaker 2: to shovel you're dying dad off with because you don't
Speaker 2: want to spend it. You want to spend time with
Speaker 2: your family, Scum, You're too busy AI generating scam music
Speaker 2: and trying to sell your shitty robot to Garrison and me.
Speaker 2: More on that tomorrow, More on that tomorrow. And so
Speaker 2: that's what we came in prepped to this meeting, like
Speaker 2: this is this idea I.
Speaker 5: Find pretty distasteful in general, is like replacing actual like
Speaker 5: you know, friends or human contact or like like in
Speaker 5: home care with a fucking like Alexa machine essentially, and
Speaker 5: to be clear.
Speaker 2: I still think this product might be a bad idea
Speaker 2: that doesn't work. But the guy behind it, who is
Speaker 2: the dude that we talked to, cares a lot and
Speaker 2: is really very clearly trying to do a good thing
Speaker 2: and thought through the ethics and the efficacy of what
Speaker 2: he was doing a lot, And I I'm not convinced
Speaker 2: it will actually do anything, but I like wish him
Speaker 2: the best.
Speaker 5: No, Like, it specifically is designed to not look like
Speaker 5: a human, so that someone's using it, you know, wouldn't
Speaker 5: like start to believe it's like human, Like, we don't.
Speaker 2: Want to trick people. We don't want them to mistake it.
Speaker 5: It refers to itself to like like as a robot
Speaker 5: as like, it refers to its own like you know,
Speaker 5: like motors and functionality like like pretty consistently to to
Speaker 5: like you know, make sure that the person who's talking
Speaker 5: to it gets like reminded of that. And something I
Speaker 5: talked about is, you know, there's been a lot of
Speaker 5: news stories this year about people building very unhealthy attachments
Speaker 5: and relationships to these kind of ai AI programs, like
Speaker 5: character AI. There's a story like a year and a
Speaker 5: half ago about like a journalist to quote unquote like
Speaker 5: you know, like like fell in love with some kind
Speaker 5: of chat thing that resulted in him killing himself. You know,
Speaker 5: but these kind of these systems like he.
Speaker 2: Was not a teenager, was no character? Was that a journalist?
Speaker 5: Last year there was there was a journalist people fellow
Speaker 5: in love with an ai chat thing. A few weeks
Speaker 5: ago there was the kid who you know was talking
Speaker 5: to this like a character.
Speaker 2: Also, I just need to reiterate her not a great movie.
Speaker 5: But but you know, there has been a lot of
Speaker 5: these stories of these things like going wrong or you know,
Speaker 5: encouraging or like not stopping you know, like these like
Speaker 5: intense conversations with like suicidal ideation or you know, like
Speaker 5: self harm, all these things.
Speaker 2: We brought these up kind of thinking he would flinch
Speaker 2: away and not want to talk about it, and he
Speaker 2: very much acknowledged that, like he was aware of this,
Speaker 2: and this is something that they were attempting to build in.
Speaker 5: This is this is like this is you know, built
Speaker 5: into it. I think this is still you know, a
Speaker 5: big problem with this entire industries. I'm sure everyone would
Speaker 5: say this is the you know obviously that we have
Speaker 5: we have guardrails for this, and then becomes a new
Speaker 5: story when those guardrails fail. Similarly, was to go back
Speaker 5: to the Tesla bomb. You know, they're supposed to be
Speaker 5: guardrails and chat GPT to make sure he doesn't tell
Speaker 5: you how to build a bomb and those guardrails can fail.
Speaker 2: He showed us one which was like he told the robot,
Speaker 2: I love you. What was it? L e q l
Speaker 2: q was the l eq e l l i q,
Speaker 2: I love you l eq and the robot like respond
Speaker 2: with a like, oh that makes like my fans are
Speaker 2: all spinning or something like that, where he's like, I
Speaker 2: wanted the responsibility that it's reminding the person talking to
Speaker 2: it that it's a machine, that it can't think we're
Speaker 2: love them back. We don't want it to be negative,
Speaker 2: but we like we don't want to be like feeding
Speaker 2: into that. And I don't know that that's the best
Speaker 2: way to do that, but like, at least they're thinking
Speaker 2: about that kind of thing. The thing that it was
Speaker 2: interesting to me is that he build this as the
Speaker 2: first proactive home AI thing, so unlike an Alexa or whatever,
Speaker 2: where it's just waiting for you to ask it something,
Speaker 2: but it does not chime in randomly to talk to you,
Speaker 2: or it won't like.
Speaker 5: Change the subject either and like continue conversation.
Speaker 2: This will prompt you out of the blue, be like, hey,
Speaker 2: how are you doing? How are you feeling today? It's
Speaker 2: been a way and specific.
Speaker 5: You want to see pictures of your family?
Speaker 2: You see pictures of your family. Do you want to
Speaker 2: call your son?
Speaker 5: You know?
Speaker 2: But do you want to play a game?
Speaker 5: Talk to me about that movie you saw last Talk to.
Speaker 2: Me about that. Hey, remind me how did you meet
Speaker 2: your husband? You know? Like literally, these are all the
Speaker 2: things that will do. And it had some side features
Speaker 2: like if it prompts you to start telling a story,
Speaker 2: it'll save that as like a memos things so that
Speaker 2: like you know, when your elderly mother passes or whatever,
Speaker 2: it saved up this like collection of stories over the years,
Speaker 2: and you can like show it pictures while you're telling
Speaker 2: it stories and it will listen and it'll have comments
Speaker 2: and it'll ask you further questions about so, how did
Speaker 2: you feel, you know after meeting them this way, Like
Speaker 2: that's really interesting, I didn't know that. Explain to me
Speaker 2: how it worked. And it will also prompt you to
Speaker 2: send those to your kids. And the big thing almost
Speaker 2: every kind of dialogue thing would prompt you to send
Speaker 2: a message to a friend or your kid. So a
Speaker 2: big part of it seemed to be this is not
Speaker 2: a replacement. This is a machine that we hope people
Speaker 2: will get comfortable with and then it can prompt them
Speaker 2: to try to engage with the world more. And yeah,
Speaker 2: loved ones, because that's our whole goal is to connect
Speaker 2: them to people.
Speaker 5: I asked him, is like, you know, part of this
Speaker 5: product is designed to like, you know, help solve like
Speaker 5: loneliness in older adults, And like, how much of this
Speaker 5: is really just like kind of trying to like replace
Speaker 5: actual human contact with this, like you know AI contact.
Speaker 5: Will that really help, you know, lowliness? And he talked
Speaker 5: about how like like I think, like he said, like
Speaker 5: ninety percent of the people who like use this, like
Speaker 5: it results in actually more more communication with their family.
Speaker 2: They have this in like some two thousand homes right now,
Speaker 2: they have like two thousand units.
Speaker 5: It's like a subscription model. I think it's right now
Speaker 5: it is like ninety nine dollars a Month's gonna be
Speaker 5: boost up to like one hundred and fifty with some
Speaker 5: like extra features in the next year.
Speaker 2: It's very much still under evolution. So one thing he
Speaker 2: pointed at is that, like, yeah, initially we had the
Speaker 2: ability to like connect people to other elderly folks using this,
Speaker 2: and so they've kind of formed their own community, had
Speaker 2: like a weekly Bingo game and asked us to build
Speaker 2: in more chats so they can message each other directly,
Speaker 2: and so some of them are like playing bingo directly
Speaker 2: now through these machines. And I'm like, well, that seems
Speaker 2: probably good.
Speaker 5: Yeah, yeah, because like I still am like fundamentally opposed
Speaker 5: to this premise. Yes, but it's interesting to seeing someone still.
Speaker 2: But age sad aging. Yeah right, that's not their fault.
Speaker 5: And it's interesting to see someone like approach this from
Speaker 5: like a you know, a very like compassionate standpoint, even
Speaker 5: if I find the actual kind of nature of this
Speaker 5: thing existing to be like deeply uncomfortable.
Speaker 2: Because yeah, I can't not find it off putting, but
Speaker 2: I I think there's a chance that it will help
Speaker 2: with the real problem. I certainly would prefer if it helped. Yeah,
Speaker 2: So I don't know. It was kind of it was
Speaker 2: a unique in this world of like as it was
Speaker 2: a unique kind of like product for me where it's
Speaker 2: like I don't know that this application of AI technology
Speaker 2: will actually do what you're hoping it will. But I
Speaker 2: got the vibe from that guy I got was nothing
Speaker 2: but good will.
Speaker 3: Yeah.
Speaker 5: Some of the other people we talked to today who
Speaker 5: are completely soul.
Speaker 2: Out of yes, yes, nothing behind their eyes, dead eyes,
Speaker 2: black eyes, like a dull's eye.
Speaker 5: Even the way this guy is talking, you could tell
Speaker 5: you you had like a very like empathetic voice, like
Speaker 5: much like.
Speaker 2: One of the things he did is he he would
Speaker 2: tell it like, I'm in some pain, and then the
Speaker 2: robot would cycle through to the pain scale and would
Speaker 2: try to because one of the things it does is
Speaker 2: it will take information for care and it will text actively,
Speaker 2: so it's not just communicating with the old person. It
Speaker 2: will text and message their kids, you know, and whatnot,
Speaker 2: prompt their kids, Hey, your mom's lonely.
Speaker 5: Yeah, or it'll even say if you know, someone like
Speaker 5: didn't take their meds today.
Speaker 2: And again it's kind of sad that. But also his
Speaker 2: part of this is he was talking a lot about
Speaker 2: like empathy, and I think just because of the kind
Speaker 2: of brain you have to have to want to do this,
Speaker 2: he used it in terms of like the machines empathy,
Speaker 2: which it doesn't have, but the whole project, it was
Speaker 2: impossible not to see that he was a deeply empathetic
Speaker 2: man who was really trying to make the world better.
Speaker 2: And I can't not respect that.
Speaker 5: Well, I think that does it for us here at Cees.
Speaker 2: That's right, what a packed thirteen. No worry, no empathy.
Speaker 2: Tomorrow takes just a real dead eyed monster. I am
Speaker 2: a true villain you're gonna hear from in the next episode.
Speaker 5: I am a stumbbag. I am the best that I'm
Speaker 5: gonna be. Because I'm starting this week, I can still
Speaker 5: feel the Cees magic. Yeah, by Friday, I am going
Speaker 5: to be a different person. I am going to rip
Speaker 5: some poor pr person two shreds, I swear, but yeah,
Speaker 5: tune tomorrow to hear are our takes from the Cees
Speaker 5: kind of side show called show Stoppers to here also
Speaker 5: some exclusive, brand new AI generated SKA music, So we'll
Speaker 5: give you that hint for tomorrow's episode. See you see
Speaker 5: you there.
Speaker 2: M h We'll see you all there. I love you all.
Speaker 2: Good help, oh man, welcome to it can happen here?
Speaker 2: A podcast that's happening here? If here is your ears.
Speaker 2: If you're deaf and reading this, then it's happening to
Speaker 2: your eyes either way, it's happening.
Speaker 5: Here here also being Las Vegas.
Speaker 2: Well, yes, also Las Vegas. That's Nevada, not the other one.
Speaker 2: Nevada A yeah, uh huh. Podcast number three, How the
Speaker 2: time does fly?
Speaker 5: Sure does.
Speaker 2: By the time you listen to this, Garrison and I
Speaker 2: will have just had the best meal that we're going
Speaker 2: to have.
Speaker 5: Oh my god. Yeah, it's tomorrow for.
Speaker 2: Us still, but we're still we're very excited about Moramoto,
Speaker 2: which is a fantastic Every year we have a very
Speaker 2: special dinner just them and me and a couple of
Speaker 2: friends who will remain anonymous because people get weird on
Speaker 2: the internet.
Speaker 5: Sometimes it is literally the highlight of my year. Sometimes
Speaker 5: it does keep me going. Actually really gives me a
Speaker 5: lot of power. Some of the best tacos I've ever
Speaker 5: had in my life. So good. Uh huh.
Speaker 2: Anyway, ah, we're just thinking about delicious food. Let's talk
Speaker 2: about the dead eyed ghoul we met. Oh wait, no,
Speaker 2: we yet. We met a dead eyed that I'm gonna
Speaker 2: spoil now. Real monster, like real, real, real evil vibes,
Speaker 2: Like if this guy as soon as I met him,
Speaker 2: shook his hand like oh if you get if this
Speaker 2: guy gets power, you're going to be responsible for a
Speaker 2: lot of death and suffering.
Speaker 5: I mean speaking of kind of think he will.
Speaker 2: He's just not that talented. He wishes, but you never
Speaker 2: know where these guys are gonna end up.
Speaker 5: Speaking of sad evil Uh, Twitter X the everything appy,
Speaker 5: that's what people are calling it. They gave a keynote
Speaker 5: which was very sad.
Speaker 2: The the CEO Linda Linda really yakarino about Twitter for
Speaker 2: a while oh so bad.
Speaker 5: So they started by talking about how Facebook meta has
Speaker 5: has copied Twitter's like fact checking policy of actually not
Speaker 5: having real fact checks. Yes, now maybe has actually kind
Speaker 5: of failed as an industry, but for you know, our
Speaker 5: problems perhaps with fact checking very different from these people's problems.
Speaker 5: And the fact now that that Facebook is walking away
Speaker 5: from actual, like genuine like fact checks against like disinformation
Speaker 5: misinformation and parting ways with like using like legacy media
Speaker 5: aulets to verify information because those media aulets are too
Speaker 5: political quote unquote, and instead is copying the current X
Speaker 5: model of free speech and specifically saying like there's been
Speaker 5: way too much censorship on gender issues.
Speaker 2: Now you can comment that women are a piece of property, well, I.
Speaker 5: Mean I think specifically this is this is like trans
Speaker 5: like no, no, no stuff too.
Speaker 2: One of the things that is specific exemption now is
Speaker 2: that you can now refer to women as if they
Speaker 2: are property on Facebook.
Speaker 5: This is the future of communication.
Speaker 2: Right, Yeah, thank god, Linda is really blazing a trail
Speaker 2: for women everywhere.
Speaker 5: Linda was very excited about that. And they yakarino about
Speaker 5: that for like a good ten minutes about how you
Speaker 5: know this is this is where we're really entering a
Speaker 5: new era of free speech and social media. And then
Speaker 5: she got asked a question about how much x Twitter,
Speaker 5: the everything app, will we'll take a part in Elon
Speaker 5: Musk's plans for the Department of Government Efficiency DOGE, and
Speaker 5: and this got the the first applause of the panel.
Speaker 5: It applause only happens two times during the DOGE section.
Speaker 5: Was the first, like you know, room, room starts clapping moment,
Speaker 5: everyone goes crazy. How how many minutes in was that? Oh?
Speaker 5: Maybe it was like maybe like maybe like twelve thirteen minutes?
Speaker 2: People really yeah, I had to had to be intentional here.
Speaker 2: This is not like they were just overdue for class.
Speaker 5: No, no, no. They talked about Vivak talked about, you know,
Speaker 5: elon turning to Twitter, X the everything app for like
Speaker 5: suggestions on which government agencies to get rid of.
Speaker 2: I hope we get rid of the ATF so so
Speaker 2: that that was machine guns mandatory? Why not at this point, right,
Speaker 2: it can only help, It can only help. Look, if
Speaker 2: we learned anything from a thing I'm not going to
Speaker 2: specify that happened late last year. More suppressors is always
Speaker 2: is handy.
Speaker 5: The second thing that got applause was what they talked
Speaker 5: about next, was about you know, everyone's everyone's turning to
Speaker 5: to x, Twitter everything everything else for information now and
Speaker 5: and and Twitter x everything app played a crucial part
Speaker 5: in bringing to light the Muslim rape gang story in
Speaker 5: the UK and how that was so important for saving
Speaker 5: children and we have to we have to post more,
Speaker 5: not less, and like this was the other thing that
Speaker 5: got massive applause was talking about the rape gangs.
Speaker 2: People love rape gangs, people love rape gangs. That that
Speaker 2: was a pretty good Star Trek episode. That was Doctor
Speaker 2: R's Planet with the rape gangs, one.
Speaker 5: Of one of the more black pilling things.
Speaker 2: It wasn't a very good Star Trek episode.
Speaker 5: It's also not a good track episode. I was referring
Speaker 5: to the panel, not the Trek episode. But that's the
Speaker 5: other thing that got massive applause is it's like save
Speaker 5: the children type rhetoric and you know, saying, you know,
Speaker 5: like as a mother, it's it's so important that the
Speaker 5: more people post about this problem. That was the two
Speaker 5: big applause moments. But I think in general, this this
Speaker 5: whole panel was trying to like, you know, demonstrate how
Speaker 5: symbiotic a new Trump presidency and Elon Musk's Twitter.
Speaker 2: This is issue a direct info line, this is a
Speaker 2: tap from the Trump presidency.
Speaker 5: Tou this is how you talk to the new government. Like,
Speaker 5: this is how you talk to all of these new people,
Speaker 5: all these new cabinet members. They're all on Twitter. They're
Speaker 5: all talking on Twitter. This is this is how you
Speaker 5: stay connected to the new government.
Speaker 2: It's interesting. One thing I'm curious about so that this
Speaker 2: is the thing that happened the last set of Nazis
Speaker 2: that gained power in a country in a big way,
Speaker 2: the German ones. There was this common attitude of like
Speaker 2: if only Hitler knew. Because Nazi policies didn't help the
Speaker 2: people that were supposed to help, They hurt a lot
Speaker 2: of people like they were just bad at everything, like
Speaker 2: fascists tend to be. And there was this attitude that like, well,
Speaker 2: Hitler can't know, like the fact that, like we the
Speaker 2: country's been handed over to gangsters who were continuing to
Speaker 2: hurt the people Hitler problems to help. He must not
Speaker 2: be aware, like if he knew, he would fix this,
Speaker 2: only he knew. So I'm wondering how that's going to
Speaker 2: play in here. As Trump's policies continue to hurt the
Speaker 2: people who a lot of the people who voted from,
Speaker 2: not the rich people who voted for him, but the
Speaker 2: people who like flipped between him and Biden or whatever,
Speaker 2: Like those folks are going to get fucked like the
Speaker 2: rest of us. And I kind of wonder if they're
Speaker 2: going to if there's going to be what win the
Speaker 2: blowback against X, the everything app will happen, right like
Speaker 2: as people are like either I'm being ignored or I'm
Speaker 2: being called like a retard by Elon Musk for complaining that,
Speaker 2: Like Elon Musk tweets it and randomly to people when
Speaker 2: they make very valid critiques of the shit that he's doing,
Speaker 2: Like that's literally what he's calling. He's saying it like everything,
Speaker 2: like constantly. I'm not using it as a slur, that's
Speaker 2: just the term he's using. If they comment that like
Speaker 2: their fucking medicaid got cut because Trump put doctor Oz
Speaker 2: in charge of it, and Elon Musk calls them like,
Speaker 2: you know, a slur, What does that do to you?
Speaker 2: Like they like, I don't even know, I don't even
Speaker 2: have any more intelligent than like, yeah, I wonder what
Speaker 2: that does to Twitter's bottom line?
Speaker 5: Ye, I mean yeah, I'm not sure if they care anymore.
Speaker 5: I mean, something else Linda talked about is how you know,
Speaker 5: Twitter's the only place for independent news to spread and
Speaker 5: as both of us have, you know, worked in the
Speaker 5: independent journalism, minds nothing nothing spreads on Twitter anymore.
Speaker 2: Now if it's news, it doesn't. The only thing that
Speaker 2: spreads is yeah, like the shit that makes people very
Speaker 2: angry but keeps them on the site, like articles, videos,
Speaker 2: if it takes you off site, it doesn't mean.
Speaker 5: Yeah, the things that go viral and get spread is
Speaker 5: like encouraging racial bias, yes, pogrooms essentially.
Speaker 2: Yeah, which is what happened last year in the UK,
Speaker 2: and they're sure trying to do it again.
Speaker 5: I mean, I think some of someone's some of what
Speaker 5: she's referencing is, you know, there's a lot of like
Speaker 5: throttling attentionally of you know people on maybe our proclivities,
Speaker 5: and there is a degree of boosting for more you know,
Speaker 5: centrist or right wing journalists. And maybe that's that's some
Speaker 5: of some of what they could be kind of more
Speaker 5: more refer to there, But you know it was it
Speaker 5: was a short keynote, only thirty minutes. Just the two
Speaker 5: things that got applause are doge.
Speaker 2: Well Linda doesn't know that many words, so they really
Speaker 2: need to keep it under thirty minutes.
Speaker 5: Jen and literally Muslim rape gangs is you know this
Speaker 5: type of like like very very gross racial fear mongering,
Speaker 5: and those are things that like lit up the room.
Speaker 2: You know, we all want there to be an after
Speaker 2: where there's even the minimal degree of accountability that happened
Speaker 2: after the Nazis. But like what I try to in
Speaker 2: my darker moments think is like, well that's another person
Speaker 2: who like really made the argument of like what needs
Speaker 2: to happen when this this ends, because it's just I
Speaker 2: want to hurt people. My business is enabling a harm.
Speaker 2: I want to get mobs in the street beating migrants
Speaker 2: like that's Linda's business. That's the business she has willfully
Speaker 2: attached herself to. And we should all see that it's
Speaker 2: very important to not stop to talking about it like
Speaker 2: what it is. These people are trying to cause racial violence,
Speaker 2: and they are trying to cause gendered violence, and they
Speaker 2: are trying to cause harm at scale to communities of
Speaker 2: people that they see financial profit in damaging. Well in
Speaker 2: other uplifting c yes, news, cool stuff. I love the
Speaker 2: Consumer Electronics Show.
Speaker 5: Actually, I think it might be time for an ad
Speaker 5: break speaking of damaging communities of people.
Speaker 2: That's right, there's a chance.
Speaker 5: Yeah, ads, Oh well we're back.
Speaker 2: Boy. I'm so glad that those ads told me that
Speaker 2: Fragaccio Blow is touring with Bono. I never thought they'd
Speaker 2: do it, but boy howdy, and they're singing each other's song,
Speaker 2: so you know, that's really exciting. It's like when Barbara Diden.
Speaker 2: I don't know who Barber Selene is, but that's, oh
Speaker 2: my god, that's cool. Robert Luckily, I do know what
Speaker 2: SKA is.
Speaker 5: I consider myself a day of culture and for for tonight,
Speaker 5: me and Robert attended this kind of like side event
Speaker 5: at CEES called Showstoppers, And as you walk around the
Speaker 5: CEES floor, there's a lot of frankly garbage. There's a
Speaker 5: lot of just like mostly mostly garbage stuff.
Speaker 2: That you or stuff that like you're just not interested
Speaker 2: in because you're literally buying like screens from a manufacturer
Speaker 2: in China. Like it's like that's just not the business
Speaker 2: you're into because some of this stuff has be meant
Speaker 2: for companies.
Speaker 5: So much floor space, Like there's like, I we walked
Speaker 5: to what twenty town.
Speaker 2: That I spent the first seven years of my life
Speaker 2: in is smaller than one of the room CEU.
Speaker 5: It's across like three hotels and a massive convention center.
Speaker 2: Ninety thousand people come into town for this thing.
Speaker 5: It could be hard to like see everything you want to. Now,
Speaker 5: what's cool about Showstoppers, this is the side event at
Speaker 5: the Bellaggio, is that basically it's a room full of
Speaker 5: kind of all all the coolest stuff, a whole bunch
Speaker 5: of stuff that has won CEES innovation awards, all packed
Speaker 5: into one room with food and alcohol. So oh boy,
Speaker 5: did I order free food and free alcohol, so many
Speaker 5: drinks that I then just left on tables. And it
Speaker 5: always pretty good food, pretty good food.
Speaker 2: Yeah.
Speaker 5: So we walked around show stoppers and there was a
Speaker 5: number of pretty pretty cool stuff that we saw. Yeah,
Speaker 5: but I think I think it's maybe time to talk
Speaker 5: about the saddest, the saddest man.
Speaker 2: The villain, the villain of the episode and of our
Speaker 2: this year's ces. I have trouble. Can you bring up
Speaker 2: their name? Because I'm gonna want to get this right.
Speaker 5: Oh, so we could be dangerous.
Speaker 2: We had neither of us had eaten and I had
Speaker 2: had like a hot dog eight hours ago and walked
Speaker 2: literally nineteen thousand steps and also done forty minutes of
Speaker 2: push ups in between. So I was starving. So we
Speaker 2: we like shovel food into our faces and we turn
Speaker 2: the first booth we see is called open Droid.
Speaker 5: Open Droid or open Droids Droids droids.
Speaker 2: Yes, I did. There is an s Open Droids and
Speaker 2: it's like kind of Star Wars. He font it is
Speaker 2: and I did ask them if you know they had
Speaker 2: any issues with Lucasfilm. Apparently not yet sue them. Lucasfilm,
Speaker 2: by the way, sue these kids.
Speaker 5: I know there's people who work for Lucasfilm who listen
Speaker 5: to this, crush.
Speaker 2: Them, burn them like Los Angeles is burning down as
Speaker 2: we see.
Speaker 5: They had a giant sign that said R two D three.
Speaker 2: Yeah, that's the name of the robot that they're selling.
Speaker 2: And the robot. The robot that they're selling is like
Speaker 2: a an AI enabled household helping slash like retail you know,
Speaker 2: like you know robot where it basically is like a
Speaker 2: human torso with articulated arms and pincher hands on. And
Speaker 2: then the base is like a little tank. Basically it's
Speaker 2: got like treads or wheels and it rolls.
Speaker 5: It is wheels, yeah, and.
Speaker 2: Then the torso there's like a tall maybe six foot
Speaker 2: tall like pillar built into this like rolling base that
Speaker 2: the torso slides up and down on. And this was
Speaker 2: their way of not making like what Musk is trying
Speaker 2: to do, right, a humanoid robot where you have to
Speaker 2: figure out like knees and balance and stuff. It's like now,
Speaker 2: well like Boston dynamic wheel right, wheels are cheap in
Speaker 2: a role it works in most situations, you know, and
Speaker 2: then but you still have the ability for it to
Speaker 2: articulate and go up higher or go down lower like
Speaker 2: something that can crouch, but it's much simpler. You don't
Speaker 2: have to deal with nearly as much. And so I
Speaker 2: saw that, I'm like, oh, well, that's at least somebody
Speaker 2: who's thinking about, like how do we make something like
Speaker 2: this like more affordable and less complicated, less to fuck up?
Speaker 2: And so I start talking with one of the co
Speaker 2: founders of the company, who is an Indian guy in
Speaker 2: his forties something around that he had like gray hair,
Speaker 2: he'd clearly he said he'd spent twenty years in robotics.
Speaker 2: Very nice guy, you know. I brought up that I
Speaker 2: thought the design was interesting, and he was very much specifying, like,
Speaker 2: here's the things we didn't do because they were too difficult,
Speaker 2: too inefficient, you know, this is what we're thinking of.
Speaker 2: This is a machine that can fold laundry. This is
Speaker 2: a machine that can do dishes. This is a machine.
Speaker 2: And he was very much specifying and the way he
Speaker 2: phrases like, these are undesirable tasks people don't want to do,
Speaker 2: and this is a robot that can handle those for
Speaker 2: like small businesses or for households. And we do see
Speaker 2: this as eventually like a you know, something like this
Speaker 2: we want to have in households. But he was more
Speaker 2: focused on small businesses and he was again, very focused
Speaker 2: on this is a thing that will do undesirable tasks
Speaker 2: for people, right, And as I started asking more questions,
Speaker 2: at a certain point, I got foisted off to the
Speaker 2: co founder of the company. Is it the co founder
Speaker 2: or is it just like another one of their rests.
Speaker 2: You know, I'm assuming co founder because I think it's
Speaker 2: just a couple of guys, but maybe I'm not gonna sorry.
Speaker 5: I got foisted over to the other of the two guys.
Speaker 2: There were two guys there, right, I'm not sure because
Speaker 2: they don't have listed any where what their role in
Speaker 2: the company is. I got a co founder's vibe from them.
Speaker 2: That's how it seemed to be to me, at least
Speaker 2: in terms of like the way these two were talking.
Speaker 2: But I don't know the scope of the open Droid's company.
Speaker 2: Maybe there's a lot more there, but these were the
Speaker 2: two guys who were there talking to us. So one
Speaker 2: of them is this very wonky engineer who's been at
Speaker 2: this a long time and was really focused on the
Speaker 2: nuts and bolts details and wanted to build a robot
Speaker 2: that could handle unpleasant tasks for human beings, right, the
Speaker 2: same thing we've all been wanting to see. So at
Speaker 2: this point, I'm like, this could work. Maybe this is
Speaker 2: a viable product.
Speaker 1: Right.
Speaker 2: The second guy, Jack j Jessenowski, So he is wearing
Speaker 2: what Garrison described as a Jordan Peterson suit because it
Speaker 2: is half purple face suit split down the motherfucking middle.
Speaker 5: With like like new age hippie like.
Speaker 2: Necklaces, five necklaceslaces, five necklaces.
Speaker 5: He had pants with like like embroidered flowers on those
Speaker 5: and like a nose bridge, like it looked like one
Speaker 5: of those things you put in your nose. That was
Speaker 5: one of the other things U showstoppers. There was a
Speaker 5: company that was doing that.
Speaker 2: So yeah, he had want to be Steve Jobs vibes
Speaker 2: from his half unbuttoned shirt and like many many spiritual
Speaker 2: medallions to his like Jordan Peterson's suit, and very much
Speaker 2: just that. Like I am the charismatic founder and what
Speaker 2: I bring to the table. My partner knows how to
Speaker 2: build robots. I'm charismatic. I'm Jack j Jessanowski, and Jack
Speaker 2: and I started talking and boy howdy, we had us
Speaker 2: a conversation and I think we're just going to play that.
Speaker 2: What do I need to do to set this up?
Speaker 5: No, I think you've set it up. We walk up
Speaker 5: to Jack, I start, I start recording, and we start
Speaker 5: talking about the robot, and then things spin in some
Speaker 5: pretty interesting directions.
Speaker 2: Yeah, all right, So what is this thing useful for?
Speaker 3: Well, generally capable, just like a human can reach to
Speaker 3: the floor and reach up high to a cupboard, go
Speaker 3: up and down.
Speaker 11: That's what we made this for.
Speaker 3: Obviously in a little bit of a different fashion because
Speaker 3: most surfaces are level.
Speaker 11: We don't need to reinvent the wheel.
Speaker 3: And the biggest market that we're going after is households.
Speaker 3: Domestic dishes, laundry, make the bed, clean up around the house,
Speaker 3: eventually cooking that's more fine tuned, you know, dishes and
Speaker 3: laundry is really that first task that is gonna be
Speaker 3: fully autonomous. Obviously from a folding standpoint and cooking standpoint,
Speaker 3: you can do teleoperation today, so can use cheaper labor
Speaker 3: internationally through a robot. But full autonomous is coming very quickly,
Speaker 3: like Jensen talked about recently.
Speaker 2: So I see there's a lot of folks in the
Speaker 2: robot space that are trying robots based on the human form. Right,
Speaker 2: you guys have not gone that route. Talk to me about.
Speaker 11: That droid form.
Speaker 3: Yes, Well, as we know, robots didn't evolve from monkey,
Speaker 3: and so we have an ability to reimagine them. All
Speaker 3: of the existing hardware we use in the world has
Speaker 3: wheels for a reason. It just works better. It's easier,
Speaker 3: there's less friction. That means there's less maintenance. That means
Speaker 3: there's less energy output. It's efficiency. It's also easier for
Speaker 3: us to manufacture that stuff at scale. So I think
Speaker 3: long term, do robots all have legs? Yeah, more or less.
Speaker 3: The home robot does turn into the like robot because
Speaker 3: then it can go with you in the car everything.
Speaker 3: But I think the early stages the wheels, because of
Speaker 3: their cheaperness, because of their reliability. I think that will
Speaker 3: be what wins early stage. That's where we started here.
Speaker 2: You just said, because the robot can go in the
Speaker 2: car with you, what do you see people wanting to
Speaker 2: have a robot in the car with them for?
Speaker 3: I think it will just become basically the same way
Speaker 3: if you have enough money, a lot of people afford
Speaker 3: like an assistant to come with them places.
Speaker 11: It's a lot of people.
Speaker 2: Because that seems like a niche market compared to household
Speaker 2: I think it's the barrier I think is because of
Speaker 2: the the cost and then the humanness, like then you
Speaker 2: have to care for another human.
Speaker 3: And whereas in this case it's kind of all positive
Speaker 3: sum And yeah, I guess it's wrong to try to
Speaker 3: say majority.
Speaker 11: Of people, but anyone who's you know in media.
Speaker 3: You know they videographer will be something you use a
Speaker 3: robot for to follow you around and take media and
Speaker 3: film for you. Every won't get tired and say go
Speaker 3: grab me a drink or you know, go figure that
Speaker 3: thing out.
Speaker 2: But it also can't decide, oh, that's actually not a
Speaker 2: good location to film from. It's not going to look
Speaker 2: as good. We need to get over here, or we
Speaker 2: need another camera on this side here, we need to
Speaker 2: get like different angles because we're want to edit this
Speaker 2: together into a thing. And as a videographer, I'm not
Speaker 2: just a machine. I'm a part of a collaborative creative enterprise.
Speaker 3: I think we're starting to see just how artistic these
Speaker 3: ais can be.
Speaker 2: What's the best example of that, you sing.
Speaker 3: Well, I think the most used thing is this the
Speaker 3: Jenai art And then you have some of the new
Speaker 3: video models are pretty cool and.
Speaker 11: They're using certain sort of zoom in shots.
Speaker 3: Everything I think they'll make just as good of movies
Speaker 3: as humans.
Speaker 2: Oh.
Speaker 11: I think the best reference in order to.
Speaker 3: Actually say that that's possible is music. I don't know
Speaker 3: if you've played with the most recent AI music. There's
Speaker 3: song GBT dot com.
Speaker 2: I've heard some things people call music that are produced
Speaker 2: by that.
Speaker 11: Yeah, we can make one live right now that.
Speaker 3: I don't know if you've heard like the latest models
Speaker 3: up pick me a genre.
Speaker 2: Uh Irish spirituals SCA, you can try Scott too.
Speaker 3: You love sk ska is like definitely probably niche stuff
Speaker 3: is where it's gonna have a harder time, but skka
Speaker 3: s ka.
Speaker 11: I wonder how much SKA data there is out there.
Speaker 2: There's a lot of SKA music out there.
Speaker 11: What should we make it about? Should we make it
Speaker 11: about iHeart radio?
Speaker 2: Sure?
Speaker 11: iHeart radio?
Speaker 2: And communication?
Speaker 3: Robert and clear Channel Communications?
Speaker 11: All right, it's here a SKA song. We're like, oh,
Speaker 11: it has to load for like thirty seconds.
Speaker 3: It feels weirdly like I'm upset that I have to
Speaker 3: wait that long for something to load online.
Speaker 2: Is that really how it feels to you? Huh?
Speaker 3: Yeah, I got what They're playing with it a lot,
Speaker 3: But it's funny to think about how much time and
Speaker 3: effort it does take to like produce a song typically
Speaker 3: I am twenty seven.
Speaker 2: That's interesting, wouldn't a guess that?
Speaker 5: What?
Speaker 2: Uh one thing that's really compelling to me is your partner.
Speaker 2: When I came in here was very very much talking
Speaker 2: about the utility of this in terms of replacing human
Speaker 2: beings and tasks that are generally unpleasant laundry, doing the dishes,
Speaker 2: cleaning up trash. You seem a lot more bullish on
Speaker 2: robots replacing human beings and what are generally considered to
Speaker 2: be enterprises people want to do with their time. Is
Speaker 2: that like a discrepancy that that that you guys have
Speaker 2: kind of talked about, or do you think it's something
Speaker 2: you guys are more on the same page with stuff.
Speaker 3: From a business endpoint, we're one hundred percent going after
Speaker 3: the dishes, laundry, uh nursing practice of just doing vitals,
Speaker 3: which is the very repetitive task that's the push. I
Speaker 3: was starting to just talk into the aspect of the
Speaker 3: legged robots and kind of imagining why a leged version
Speaker 3: would have better utility or be something someone wants to
Speaker 3: purchase scare rather than the wheeled robot and Yeah, stairs
Speaker 3: is definitely a big one of those.
Speaker 11: There are wheel types we're working on right now.
Speaker 3: We have ability to climb like single stairs obviously easiest,
Speaker 3: and that's what most people have in their home if
Speaker 3: they do have stairs.
Speaker 2: Oh, are we gonna listen to some robots?
Speaker 11: Scott my Heart Listeners System or.
Speaker 5: Scott Clear Crazy sco Is this Scot?
Speaker 2: It's a pretty basic melody. I mean there's horns in it,
Speaker 2: but I feel like it's kind of takes in a
Speaker 2: I think it's Ophelia is trying to do pot that
Speaker 2: it's just thrown some horns in on. This is a
Speaker 2: little closer to SCA, although it's still Yeah, it's not
Speaker 2: really singing, but I guess that's a matter of taste.
Speaker 2: What do you listen to?
Speaker 11: This is the worst that's gonna be.
Speaker 5: I hear that a lot.
Speaker 2: It's interesting because GPT four took fifty times as much
Speaker 2: power as GPT three to train, and there's a lot
Speaker 2: of mixed reactions on that. And we're entering into a
Speaker 2: period where we're very likely looking at a recession venture
Speaker 2: capital funding. There's a chance it's not going to be
Speaker 2: what it has been. Is that concern you at all that,
Speaker 2: like this vaunted next level for all of this stuff,
Speaker 2: the energy cost, the investment cost is just not going
Speaker 2: to be borne by a market that uh is not
Speaker 2: going to be as strong tomorrow as it was today,
Speaker 2: at least in the immediate term.
Speaker 3: I think even if we created no more energy as
Speaker 3: a human species today, the amount of advancements we create
Speaker 3: would from an architectural standpoint, continue to advance.
Speaker 11: So you have other models.
Speaker 3: Like I think LAMA three point three, which has matched
Speaker 3: four ohs capabilities and is I forget how many parameters,
Speaker 3: but like super like much much much smaller and was
Speaker 3: much scheaper to train, and like we're continuing to see
Speaker 3: like smaller models that are just as effective and we're
Speaker 3: much cheaper training runs.
Speaker 11: I think Deep Seek was one of the newest ones.
Speaker 2: I'm what I'm concerned about is I'm looking at the
Speaker 2: p and L right, I'm looking at open AI's PNL.
Speaker 2: I'm looking at the fact that they're losing five or
Speaker 2: six billion dollars last year and we're very good chance
Speaker 2: it's going to be somewhere in the neighborhood to double
Speaker 2: that this year. And I'm it's not that there's nothing
Speaker 2: impressive there it's not that I don't see like, oh,
Speaker 2: you can generate a song that's got like guitar and
Speaker 2: trumpets and vocals and stuff and you know a minute
Speaker 2: or so. It's not that that's not impressive, but like
Speaker 2: a pilier trick, isn't a trillion dollar business, And that's
Speaker 2: the kind of investment they're looking at. And I do
Speaker 2: wonder like, is it not much more reasonable to focus
Speaker 2: on folding laundry?
Speaker 3: Well, obviously, I personally am in the the boathouse of
Speaker 3: focusing on allowing this intelligence to flourish and doing these
Speaker 3: laborious tasks and getting them in the households. I do
Speaker 3: think from open eye standpoint, and the reason why vcs
Speaker 3: and private investors will value them so highly is what's
Speaker 3: next is white collar work. A lot of the jobs online.
Speaker 11: That's what they do.
Speaker 3: Have an internal model which is able to control the computer,
Speaker 3: you know, the same way you would ask an executive
Speaker 3: assistant to do certain things online.
Speaker 2: Now it's just Sdobe's handing along all of their emails
Speaker 2: now through AIS, which is you know, we'll see how
Speaker 2: well that works on the long term. There's been some
Speaker 2: interesting polling on like the degree to which customers and
Speaker 2: investors feel trust when somebody's responding to them with an AI.
Speaker 2: But what's interesting, I mean more here is the dichotomy
Speaker 2: between what I see here is a very pragmatic choice,
Speaker 2: which is, we're not going to try and remake a
Speaker 2: human being formed robot and deal with like knees and
Speaker 2: hips and all of that stuff. We don't need that.
Speaker 2: We can have it turn up and down on this
Speaker 2: platform and reach things the same way, melded to what
Speaker 2: I consider to be kind of a little more high
Speaker 2: in the sky. We're doing this as eventually something that
Speaker 2: can take creative roles and think independently and make things,
Speaker 2: which is it's interesting to me to see that in
Speaker 2: a company's DNA of what you guys are eight months
Speaker 2: out right now, yep. Is that what you're more interested in?
Speaker 11: I'd say, I tailor my pitch to the person I'm
Speaker 11: talking to. Uh huh.
Speaker 3: So some people definitely enjoy thinking about more of the
Speaker 3: sci fi futures that are coming, for example, the droids
Speaker 3: building Droid's moment. It's when you know you are decreasing
Speaker 3: your own manufacturing costs by using your own hardware to
Speaker 3: build more of that hardware and.
Speaker 11: Parts are just being shipped into the factory.
Speaker 3: Obviously, I think the first fully automated phone factory just
Speaker 3: came out in chinery, which is like some cool press
Speaker 3: in news, but the phone is separate from the actual
Speaker 3: manufacturing process.
Speaker 11: So there's that interesting component.
Speaker 3: The exciting part of the idea that how do we
Speaker 3: reach true abundance as a species of material and resources
Speaker 3: is well, because GDP is a calculation of capita times productivity,
Speaker 3: a robot really represents capita one unit of creation. And
Speaker 3: I'd say that's where the sci fi thinking comes into play.
Speaker 3: And it's not not worth going there when just dreaming
Speaker 3: about the future robotics and talking about it and having
Speaker 3: an interesting, engaging conversation, But definitely when it comes to
Speaker 3: what are we doing from an engineering standpoint on the
Speaker 3: day to day and how are we trying to approach
Speaker 3: the market, those conversations are not at being had.
Speaker 2: Okay, well, I appreciate your time and he gave me
Speaker 2: a lot. I'm gonna let you get to the other peak.
Speaker 2: Thank you, Thank you so much to meet you.
Speaker 1: Jack.
Speaker 2: Oh wow, that's super interesting. I hope you all liked
Speaker 2: Jack Jay as much as I didn't.
Speaker 5: Getting to twenty seventy years old and not knowing what
Speaker 5: Scott is that old. I thought he was much younger,
Speaker 5: like you thought he was like twenty two. Yes, but
Speaker 5: the fact that he didn't know what SKA was as
Speaker 5: a genre, he wasn't was unaware of it.
Speaker 2: I don't think he listens to music.
Speaker 5: Well, he listens to AI generated hess to AI generated music,
Speaker 5: he's just as good. He has the most, he has
Speaker 5: the most. I listened to AI generated music vines. If
Speaker 5: anyone I've ever seen before just.
Speaker 2: Very clearly does not have a soul, no, like nothing,
Speaker 2: nothing would leave the universe if he did, right, Like.
Speaker 5: It's so opposite from the first guy you talked to,
Speaker 5: who was it so like about? No? I want to
Speaker 5: how smart actual tasks that people don't enjoy. Yeah, I
Speaker 5: love cinematography, I love I love filmmaking. I don't First
Speaker 5: of all, I don't think a robot can can replace this.
Speaker 1: No.
Speaker 2: I watched five different AI generated movies yesterday, and they
Speaker 2: all looked like shit.
Speaker 5: Even like a robot handling a physical camera to make
Speaker 5: like to make like choices on like shot framing and composition,
Speaker 5: and like it's.
Speaker 2: One thing to be like we want we have a
Speaker 2: race cargoing, and so we've got this robot on a
Speaker 2: track so we can go seventy miles an hour and
Speaker 2: we're just kind of running on a street. Follow it
Speaker 2: because a human being can move that. That's sure. One
Speaker 2: thing we've left out of this up so far. So
Speaker 2: this this machine that I described earlier, this robot that
Speaker 2: goes up and down this rolling base has a floppy
Speaker 2: Donald Trump mask over the over its head, which first
Speaker 2: attracted us to this. Yeah, that's why we showed up
Speaker 2: there in the.
Speaker 5: A robot moving its arms around wearing a Donald Trump mask.
Speaker 5: And as Robert was interviewing this guy, the robot was
Speaker 5: like moving around and like trying to stimulate its washing
Speaker 5: dishes capability, and it knocked over the same water bottle
Speaker 5: about five times. It couldn't it couldn't pick it up consistently,
Speaker 5: So I will not trust it with my fine china.
Speaker 5: I'll say that.
Speaker 2: As soon as I got up there, I asked like,
Speaker 2: I couldn't take my jacket off, now can it fold?
Speaker 2: And he's like, well, we'd have to reprogram it. And
Speaker 2: it was this when I talked to the guy, I
Speaker 2: was like because he was like, yeah, we really see
Speaker 2: this as being you know, potentially good for elder care. Sure,
Speaker 2: and you know, we had just seen the product we
Speaker 2: talked about in the last episode, which, for all of
Speaker 2: it's I don't know that I think it'll work, was
Speaker 2: a lot of thought and care went into it. I
Speaker 2: was like, okay, so, like, what work have you done
Speaker 2: to build a machine that can like communicate and be
Speaker 2: helpful to like people who are dealing with health issues
Speaker 2: in their their later years. They're like, well, that's why
Speaker 2: it's open, right, someone else will yeahs open sources. Someone
Speaker 2: else can do a bit part. See, you guys are
Speaker 2: just you guys are just saying it can do everything
Speaker 2: because somebody could potentially code something for it.
Speaker 5: Yeah cool, there always could be code.
Speaker 2: Yeah, there could be code. I mean again, the other guy,
Speaker 2: the actual engineer, seemed very interested in the nuts and
Speaker 2: bolts of making an affordable, reproducible machine that could handle
Speaker 2: specific tasks, and Jack Jay had absolutely no interest in
Speaker 2: the actual machine that they were making. This is clearly,
Speaker 2: could not be clear. This is just a stepping stone,
Speaker 2: and he's kind of grossed out by it because it's
Speaker 2: not replacing all human art with a machine that he owns.
Speaker 5: He's a man completely fueled by Lex Friedman podcasts, and
Speaker 5: he doesn't want to actually do any real work. He
Speaker 5: just wants to talk about how AI is going to
Speaker 5: take over everything and we have to welcome it in
Speaker 5: and here listen to this is SKA.
Speaker 2: He wants to take money by owning something that does
Speaker 2: not provide anything and also put people out of work. Like,
Speaker 2: at no point did he express a desire to do
Speaker 2: anything other than replace something people were already doing with
Speaker 2: something worse that tech guys could profit from. That's all
Speaker 2: there is to this man. He's not a human.
Speaker 5: It's so anti human.
Speaker 2: Yeah, I cannot overemphasize the degree to which there was
Speaker 2: nothing behind this boy's eyes.
Speaker 5: Well, do you know what, there's also nothing super intelligent behind.
Speaker 2: That's not true. All of our ads are sponsored by
Speaker 2: real people, even if they're bad people, they're at least people.
Speaker 2: They live and they love and they hate and you know,
Speaker 2: maybe they have a promo code. Let's let's see, all.
Speaker 5: Right, So after our our lovely, our lovely Robotic Jack
Speaker 5: j Jessanowski SKA Adventure. Oh god.
Speaker 2: Also the SKA was shit, not good, not good? It
Speaker 2: did it just kept saying the words Scott.
Speaker 5: He kept saying the word Ska music and saying the
Speaker 5: word Robert Robert Scott, well, just doing random noises. After
Speaker 5: we had our fill of that, we did walk around
Speaker 5: the rest of Showstoppers. He was so surprised that I wasn't.
Speaker 2: I wasn't impressed by any of the He was like,
Speaker 2: you must have heard the lady, man, I hear them.
Speaker 2: It's not good. It's like it's like I made this
Speaker 2: comparison a few times. If somebody like walked in while
Speaker 2: I'm at a house party was like, hey, man, I
Speaker 2: taught my dog to masturbate to pornography with its with
Speaker 2: its pause. I would be like, well, I mean that's like,
Speaker 2: I guess impressed. I didn't think a dog could do that.
Speaker 2: Like I am kind of impressed, I guess, But I
Speaker 2: don't want this like this. This doesn't do anything for me.
Speaker 2: It's why you figured this out?
Speaker 5: What what value does this?
Speaker 2: How does the dog know who Farah Fauce it is?
Speaker 2: I have questions, sure, but it doesn't give me anything
Speaker 2: like no Fara Fauce it was Garrison. No, God damn it.
Speaker 5: What do you think I do?
Speaker 2: What?
Speaker 5: I I don't know anymore? Well, what I did is
Speaker 5: walk around the rest of showstoppers. I saw this one
Speaker 5: booth that had like a like an iPhone case with
Speaker 5: like a little like keyboard on the bottom that like
Speaker 5: plugs in, and I started messing around with it, and
Speaker 5: the guy that booth walked up to me and made
Speaker 5: fun of me because he's like, you've never you've never
Speaker 5: held a phone with the BlackBerry. He literally said, like,
Speaker 5: you've never had a BlackBerry before?
Speaker 3: Have you?
Speaker 5: Like no, Like, yeah, you're typing all wrong on there.
Speaker 2: There was a solid nine day news cycle when Barack Obama,
Speaker 2: newly the president, revealed that he had a BlackBerry.
Speaker 5: I remember that, which sounds like a lifetime.
Speaker 2: There was a company called r I M once and
Speaker 2: they made a tablet that was pretty good, and we
Speaker 2: only made a couple of rim job jokes about it,
Speaker 2: but it didn't do very well, and so I gave
Speaker 2: it to my dad and accidentally there was still a
Speaker 2: picture of my dick on it. Anyway, that's a story
Speaker 2: for another day.
Speaker 5: Cool.
Speaker 2: These are the kind of things you get recording at
Speaker 2: eleven fifty six pm and we.
Speaker 5: Caught Tuesday night. Gott to get to bed, but no,
Speaker 5: keep making fun of me. For not knowing how to
Speaker 5: use a smartphone keyboard.
Speaker 2: He did the right thing.
Speaker 5: I don't need to use that because I have a
Speaker 5: keyboard on my phone built in already. It's much faster.
Speaker 5: So anyway, we stopped it at this company that makes
Speaker 5: well now just makes the software to use in conjunction
Speaker 5: with the augmented reality glasses and any like high powered laptop.
Speaker 5: Specifically the laptops that have like built in like you know,
Speaker 5: like co pilots because they require like higher processing power,
Speaker 5: they have an NPU or something like that, like a
Speaker 5: like an ampuro processing unit is what they're calling like
Speaker 5: the AI dedicated GPU thing. Effectively, it allows you to
Speaker 5: hook up these glasses and run you know, possibly infinite
Speaker 5: amount of monitors using AR. And we talked about this
Speaker 5: company last year because we saw them at show stoppers.
Speaker 2: You put on the glasses and it's like you've got
Speaker 2: six monitors or whatever that are all full size.
Speaker 5: And it's actually really easy to use. It works very well, seamlessly,
Speaker 5: it's nice, it's it's good quality, easy to use, you
Speaker 5: can move the monitors around.
Speaker 2: It's an excellent an excellent game.
Speaker 5: We talked to them last year, and the main thing
Speaker 5: that was holding this, like holding us back on it
Speaker 5: is that you needed to use their own proprietary lap.
Speaker 5: It was their own laptop, and it wasn't a great one.
Speaker 5: It was just like a Linux laptop didn't. It didn't
Speaker 5: have everything I like I want out of my own
Speaker 5: personal laptop.
Speaker 2: And we were still impressed with it.
Speaker 5: Then it was still it was still good. Yeah, and
Speaker 5: now you can just use any high power laptop with
Speaker 5: it essentially. So it's lovely to see that improved. We
Speaker 5: saw this lovely like like very small foldable projector. Oh yeah,
Speaker 5: that was cool.
Speaker 2: What's the company? That company name, because we should be
Speaker 2: we should be giving out the names of these Yes.
Speaker 5: The ar glasses and the software system is called spacetop
Speaker 5: very good by a company called Sightful. It works works great.
Speaker 5: But yeah, this this little folding folding projector currently has
Speaker 5: a Kickstarter. The company is called Aura Zen yeah or
Speaker 5: a Zen specifically, it was the zip trifled projector right now.
Speaker 5: It's it's a seven to twenty p very small foldable projector.
Speaker 5: It has a whole it has like like an auto
Speaker 5: focusing auto keystone. There were could get it up to
Speaker 5: ten VP, but they're running a kickstarter right now to
Speaker 5: ship in about three months. Super good quality stuff.
Speaker 2: If you're a gadget Ritina, Like it felt like a
Speaker 2: quality piece of electronics in my hands, Like the way
Speaker 2: it like snapped when it closed, just felt good. I'm
Speaker 2: I think I'm gonna buy one like it's it's exactly
Speaker 2: what I want for traveling, which is the ability to
Speaker 2: it goes up to like eighty inches of screen and
Speaker 2: like very good resolution, the ability to just have that
Speaker 2: plugged in to a battery or the wall and my
Speaker 2: laptop and like wherever I happen to be, I've got
Speaker 2: a movie screen that I don't have to worry about
Speaker 2: the fucking hooking up a TV to my laptop or
Speaker 2: some shit.
Speaker 5: It doesn't need Wi Fi to work. It just can
Speaker 5: cast from your phone.
Speaker 2: A U r Z and ZIP trifle projector or zen
Speaker 2: yep yep. I think they're selling them for two fifty
Speaker 2: right now. That's for the for the Kickstarter, for the Kickstarter.
Speaker 2: It will go up a little when it's a product.
Speaker 2: But we saw it. It works. They had a lot
Speaker 2: of they had tracking and stuff so it like automatically
Speaker 2: would focus.
Speaker 5: Auto focuses and at like it scales correctly, forwards, projecting
Speaker 5: it automatically like adjusts like the tilt of it so
Speaker 5: that it you.
Speaker 2: Know, yeah, obviously this isn't the full review because we
Speaker 2: don't own one, but everything we could tell by looking
Speaker 2: at it in the moment.
Speaker 5: We tried it out, I hooked up my phone to it.
Speaker 5: As I went to my phone screen, I realized I
Speaker 5: have a slightly I would say, artful flute image of
Speaker 5: an angel. So I quickly swiped away from we shouldn't
Speaker 5: show your dick to your damn my home screen of
Speaker 5: my phone. You know, things can always be worse.
Speaker 2: Things could always be worse. But I think where will
Speaker 2: end is? And this actually is not entirely in order,
Speaker 2: because this is the next after we had that conversation
Speaker 2: with our friend Jack Jay, which just left me thinking about, like,
Speaker 2: some people aren't really people, right, That's what I The
Speaker 2: sole thing.
Speaker 5: Is is a sham. It's all. It's all for rooms.
Speaker 5: It's soulless.
Speaker 2: We immediately walk over and we just kind of like
Speaker 2: randomly turn a corner and there's like a human shin
Speaker 2: like tibia amphibia basically with like a carbon fiber you know,
Speaker 2: frame around it. That's roughly the shape of like a
Speaker 2: person's lower leg, lower leg, and it's called bio leg.
Speaker 2: It's a powered microprocessor knee made in Japan, where it
Speaker 2: is a prosthetic, but unlike most prosthetics, it is powered
Speaker 2: and has a muscle built into it, so like when
Speaker 2: you lift up your prosthetic, it doesn't hang it, it doesn't lock.
Speaker 2: It actually has a degree of motion and it feels
Speaker 2: like what lifts the rest of the leg what you're
Speaker 2: remaining muscles like. It measures based on like it can
Speaker 2: like take measurements from them and it can act intelligently
Speaker 2: based on that. And I know that it works because
Speaker 2: the inventor was there and he was a man who
Speaker 2: was missing his leg below the knee and had built
Speaker 2: this for himself.
Speaker 5: He's spent like ten years working on this.
Speaker 2: Yeah, eight years, he's said, eight years. And that's like
Speaker 2: really the thing that is like so both like addictive
Speaker 2: and also like this like very tonal whiples you get
Speaker 2: at ces as you will go from like this dead
Speaker 2: eyed con man trying to scam the world so he
Speaker 2: can do god knows what kinds of other harms with
Speaker 2: absolutely nothing, nothing inside him at all, And then I
Speaker 2: lost my leg and I built a better prosthetic to
Speaker 2: help the entire world. And that's like thirty seconds between
Speaker 2: those two experiences.
Speaker 5: And like that's like that's like the dark magic of Cees.
Speaker 5: And like I don't, like I'm not like anti tech,
Speaker 5: like I think there. I think technology can really improve
Speaker 5: people's lives if used well. And sometimes I get kind
Speaker 5: of black pilled walking around Cees. But then we'll stumble
Speaker 5: across this, like you know someone who like literally lost
Speaker 5: a leg and made themselves their own better leg.
Speaker 2: Eight years figuring out how to do this.
Speaker 5: Yeah, is winning award. It's like for it award winning
Speaker 5: like tech innovations.
Speaker 2: It's changing your as a person who has lost your
Speaker 2: lower like changing being able to like have a normal
Speaker 2: gait and balance again, like massive potential to improve people's
Speaker 2: lives as a result of this.
Speaker 5: Yeah, just steps away from Ai ska at Ai and
Speaker 5: Donald trump Man the laund the profile. The company is
Speaker 5: again Bionic IM and it's the bioleg biolags the product. Yeah,
Speaker 5: the biolague is the product by Bionic Im.
Speaker 2: I'm going to try to check it out more.
Speaker 5: Tomorrow at Eureka Park, which at this point, you know
Speaker 5: that'll be like maybe future episodes come next week. But
Speaker 5: I guess this closes our actual Like Coridge, Let's go
Speaker 5: get fucked up and eat Japanese food. Oh I'm down. Yeah,
Speaker 5: I'm down.
Speaker 2: Let's do it.
Speaker 5: Hey.
Speaker 2: We'll be back Monday, with more episodes every week from
Speaker 2: now until the heat death of the universe.
Speaker 9: It Could Happen Here is a production of cool Zone Media.
Speaker 9: For more podcasts from cool Zone Media, visit our website
Speaker 9: cool Zonemedia dot com, or check us out on the
Speaker 9: iHeartRadio app, Apple Podcasts, or wherever you listen to podcasts.
Speaker 1: You can now find sources for It Could Happen Here,
Speaker 1: listed directly in episode descriptions. Thanks for listening.