Speaker 1: Cool Media.
Speaker 2: Welcome back to it could happen here a podcast about it, which,
Speaker 2: in this week's case is the Consumer Electronics Show is
Speaker 2: happening here, and yeah, we're here to talk about things
Speaker 2: falling apart, and again, in this case that's the tech industry,
Speaker 2: because the story this CES, as it has been for
Speaker 2: the last several cees, is is that the continuing degradation
Speaker 2: of big tech as it seeks more places to get
Speaker 2: money from while providing less and less utility to the
Speaker 2: people that it needs to give it money. And every
Speaker 2: CEES at some point I find myself face to face
Speaker 2: with something that makes me say I've now seen the
Speaker 2: silliest thing I've ever seen. And this year that experience
Speaker 2: happened for the first time within thirty minutes of the
Speaker 2: first half day. And I'm going to talk about that
Speaker 2: and show some videos to my panelists here, which of
Speaker 2: course are the great ed Zeitron, It's me, I'm here,
Speaker 2: the pretty good Garrison Davis.
Speaker 3: Okay, okay, all right, all right, Boddy them.
Speaker 2: And the super enumerate supernumerary. I'm sorry I messed up
Speaker 2: the word I was using as a superlative to praise you.
Speaker 2: I'll take you at Longways, So Junior, thanks Ed, thank
Speaker 2: you so much for joining us. Everybody, are you ready
Speaker 2: to see some of the dumbest AI generated videos.
Speaker 4: Were few me with more pleasure.
Speaker 2: Excellent, excellent.
Speaker 1: Nothing fills me with pleasure.
Speaker 2: The first panel I sat down today with at ten
Speaker 2: am in the goddamn morning Jesus, was the Hollywood Trajectory
Speaker 2: Generative AI Timeline twenty twenty five to twenty thirty.
Speaker 3: Oh boy, I am fascinated for what they think will
Speaker 3: happen at 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 Censure, who announced her company's three billion dollar
Speaker 2: investment in AI by dropping this gin I have a
Speaker 2: digital twin.
Speaker 5: And she's constantly evolving and how she gets used and
Speaker 5: what she says, and.
Speaker 3: There's big educations around that. I think this is a
Speaker 3: really exciting space to.
Speaker 4: Do that, like that she just stole Hurley Herndon's thing.
Speaker 5: But Okay, they probably said that to a doctor.
Speaker 2: They think I had a concussion.
Speaker 3: Sure what this person needs like psychological.
Speaker 2: Yeah, you should be allowed to drive, you need you
Speaker 2: need a Bryan kid.
Speaker 6: Okay, let's get you.
Speaker 1: 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 it. Yeah,
Speaker 2: it's just a fundamental mismatch in what people might want
Speaker 2: from an AI agent and like the way in which
Speaker 2: they get talked about.
Speaker 1: But also they use digital twin, which is ce men
Speaker 1: to prise software ship.
Speaker 6: Yeah, oh my god.
Speaker 2: Yeah, it's it's it's I'm excited to go see some
Speaker 2: digital twin technology that I'm sure we'll make a cheap
Speaker 2: at switching.
Speaker 3: This was this is the first thing I reported on
Speaker 3: at CES was there was the digital twin. Like back
Speaker 3: in like twenty twenty two, twenty one, there was like
Speaker 3: one single company and all of c Yes, I was
Speaker 3: promising like a digital twin, and now it's like every
Speaker 3: other company. Ye.
Speaker 6: It means so many different things.
Speaker 5: It means literally a digital representation of anything. It doesn't
Speaker 5: even mean an II agent. The fact that they're using
Speaker 5: it in the wrong place is very annoying to me.
Speaker 4: Yeah.
Speaker 2: I keep saying like they can now make an AI
Speaker 2: chatbot trained off of your social media presence. That's eighty
Speaker 2: five percent accurate.
Speaker 7: As all twins are and I want to know they can't.
Speaker 2: But then you talk to the average person at CEES
Speaker 2: or 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 chatbot for a bit, maybe a
Speaker 2: lot higher improvement. Yeah, yeah, so I will say, like,
Speaker 2: 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 him and eyeballs. His most recent big success that
Speaker 2: you could just see radiating off of him how proud
Speaker 2: he was of this was Coca Cola's annual Christmas ad,
Speaker 2: which last year was produced for the first time entirely
Speaker 2: with AI. And I'm just gonna if you haven't seen this,
Speaker 2: who hears seen Coca Cola's AIS?
Speaker 3: I guess yeah, I've seen pictures. I think I may
Speaker 3: have watched the one.
Speaker 8: Okay, well, let's let's let a few times the amounts.
Speaker 2: We're gonna play. There's three different versions of this, so
Speaker 2: why we're just gonna I.
Speaker 5: Mean, that's that's what it's about out Oh my god.
Speaker 5: If there's three different versions that that that's just they
Speaker 5: saved the pro Everyone is the same length of show.
Speaker 2: Can you believe this song's AI generated? I can't believe
Speaker 2: the cow Could they teach a computer to write the lyrics?
Speaker 2: Holidays are?
Speaker 5: I just can't believe we finally have the technology to
Speaker 5: have three trucks driving somewhere and.
Speaker 2: Wagging its tail with dead eye. It's all these too
Speaker 2: horrible girls, trucks with Coca cola and them driving down
Speaker 2: not a street, raccoons.
Speaker 5: Why is there a satellite O They're gonna drop the
Speaker 5: ion can on them, the pola bes.
Speaker 2: It's all clearly AI. 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 2: Random fire, Chris.
Speaker 3: Kringle, that's such a bad omen for four more years
Speaker 3: of a trunk presidence.
Speaker 2: It's a bleak we have like.
Speaker 3: Even uglier Thomas Kincaid esque artwork. That's all.
Speaker 2: Every frame looks like a tomly animated.
Speaker 3: Yeah, it's like they just generated a Thomas Kincaid like
Speaker 3: frame and then like badly animated.
Speaker 5: And the way that they move is very weird, like
Speaker 5: it looks kind of right, but kind of right, looks
Speaker 5: very strange.
Speaker 2: He 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 too much.
Speaker 5: But they're not going anywhere with the movement. It's just
Speaker 5: like they are doing something and that's it.
Speaker 2: Yeah.
Speaker 1: You think in ten years they're still gonna have these commercials?
Speaker 6: No, No, because where's the snow.
Speaker 1: It's just a polar 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 3: I don't think they're lying about that. I think if
Speaker 3: you walk up to someone like randomly on the street
Speaker 3: and showed them this, I think they'd be like, oh, yeah,
Speaker 3: it looks fine.
Speaker 2: Yeah.
Speaker 5: No one's watching a Coca coat the right and being like, yeah, wow,
Speaker 5: I've never had one of these before.
Speaker 6: Yeah, it's not it's never a new experience.
Speaker 4: Not yet. We need an ad man.
Speaker 6: You need an adman for the coke holdouts.
Speaker 4: We need an ai Don Draper.
Speaker 3: Yeah, well, do not give them ideas.
Speaker 2: What if a.
Speaker 4: Company lost five billion dollars, It's just an ad that
Speaker 4: doesn't work. Instead of going to the movies like Don
Speaker 4: Draper does throughout all.
Speaker 7: Of Mad Man, it just doesn't work and respond to
Speaker 7: any of your queries.
Speaker 2: Just Don Draper spending hours watching that looping Christmas video.
Speaker 1: Staring into nothing.
Speaker 2: Yeah. So there was like an immediate, pretty immediate backlash
Speaker 2: to this, like all of the responses, if you like,
Speaker 2: go 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 6: Yes, classic thing with commercials.
Speaker 3: Debating commercials, many things they're very debated these days.
Speaker 2: A lot of people are saying and then He showed
Speaker 2: us next an AI generated video The Heist, which was
Speaker 2: entirely made by a text script that itself was mostly
Speaker 2: written by chatch Ept And here's how Jason describes the
Speaker 2: workflow for what you're about to see. It took thousands
Speaker 2: of generations to get the final film that. I'm absolutely
Speaker 2: blown away by the quality, the consistency, and adherence to
Speaker 2: the original prompt when I described gritty New York City
Speaker 2: in the eighties, it delivered in spades, consistently. Well, this
Speaker 2: is not perfect, it is hands down the best video
Speaker 2: generation model out there by a long shot. Additionally, it's
Speaker 2: important no VFX, no cleanup, no color correction has been added.
Speaker 2: Everything is straight out of VO two Google Deep Mind.
Speaker 2: So what is the model VO two Google deep Mind?
Speaker 2: I think is what he's saying.
Speaker 1: It is one.
Speaker 5: By the way, I'm sure what you're about to show
Speaker 5: me looks like a dog's awsome.
Speaker 2: It looks like, yeah, New York, exactly like New York
Speaker 2: at Juliani right before he came in clean it. Uh huh.
Speaker 3: So this is like the competitor to SORA. I guess
Speaker 3: that is the other big like video generation knew I don't.
Speaker 2: Buy for a and I'm not impressed, but we'll see
Speaker 2: what you guys think. I don't want to poison your roots.
Speaker 6: I wouldn't. Oh god, okay, there.
Speaker 3: Is fire in this.
Speaker 2: The last time you're going to see the sack full
Speaker 2: of money. It does not show out again.
Speaker 3: It's a lot of a lot of fires, a lot
Speaker 3: of random fire and.
Speaker 6: Go backwards when they're driving forwards, wheel.
Speaker 2: Again, another straight fire.
Speaker 6: I would love to do freeze frames on this.
Speaker 2: Actually it's in gossip. Why is there so many fires?
Speaker 2: Just all right, let's take a shot every time, Oh
Speaker 2: my god, and also take a shut every time. He
Speaker 2: is wearing different clothing and has a clearly different face.
Speaker 3: The car has changed.
Speaker 2: Column he's praising the consistency and it is a he
Speaker 2: is dressed completely differently every scene.
Speaker 3: His jacket has has has changed you since the last one? Yeah?
Speaker 2: Yeah, and again the cop car the cars. When it
Speaker 2: shows the cars dragging across the screen, they're kind of
Speaker 2: doing the same thing usually that the animals do in
Speaker 2: the coke.
Speaker 4: And minimal motion at the best.
Speaker 2: Yeah, I also love this. Can you believe this music?
Speaker 5: You also want to just say when it swivet hit
Speaker 5: that thing he was driving like half a mile on it.
Speaker 6: Yeah, that's how I run.
Speaker 2: Yeah, look an obviously different man.
Speaker 6: That's the way he runs. Was like he had his
Speaker 6: arms out.
Speaker 2: Two cops three Actually, look they run.
Speaker 3: Running is very funny.
Speaker 2: Yeah, this is different.
Speaker 6: Okay, what is going on with his feet.
Speaker 3: And different levels of facial hair, different different jackets, he's
Speaker 3: wearing different colors jackets, vague definiteness in this just move?
Speaker 6: What the fuck is going on?
Speaker 2: Oh my gosh, I got me directed by Jason's got
Speaker 2: in big flaming words because again, the AI only knows
Speaker 2: how to put random fires on.
Speaker 5: Wow, I'm so glad that we have the technology that
Speaker 5: a thing where a guy gets chased by the police.
Speaker 2: Yeah, we couldn't. This would have been impossible before.
Speaker 5: Because he runs at anywhere from one to one hundred
Speaker 5: miles an hour.
Speaker 3: I assume they just trained they like this was specifically
Speaker 3: like pulling on like Scorsese movies a lot.
Speaker 5: I just want to know about these thousands of generations
Speaker 5: of script because.
Speaker 3: That is interesting.
Speaker 5: I am very curious because I just don't believe that
Speaker 5: for did he just uh read there?
Speaker 7: Yeah no, that's the opening crawl to just like some
Speaker 7: uh generated star Wars.
Speaker 3: It seems like shot by shot, right, each each shot
Speaker 3: is going to require a lot of like iterations. The
Speaker 3: script it's just yeah, I mean again like it unpacking.
Speaker 3: What he actually is saying is unclear because I.
Speaker 2: Went to the YouTube video for this and the first
Speaker 2: five or four comments are looks like we found the
Speaker 2: new king of video. Jesus Christ, give it a rest
Speaker 2: close change in every shot. Four to six year old boys,
Speaker 2: you're gonna love it and still acts character and vehicle consistency.
Speaker 2: But we're getting close, which.
Speaker 3: Is which is the.
Speaker 2: By thirty you're going to make a man wear the
Speaker 2: same clothes for an entire video.
Speaker 5: Oh this is This has happened before with SRA when
Speaker 5: they put Sora out there, like check out airhead on
Speaker 5: your man God, and the balloon changes every single shot.
Speaker 6: It's a different size and color each time.
Speaker 1: There are just people running in the background.
Speaker 6: Sometimes and then they.
Speaker 5: Made a new one. You're like, oh, this is gonna
Speaker 5: be good. It was worse and less consistent, and this
Speaker 5: is what they think of us. They're like, these pigs
Speaker 5: will slop up anything.
Speaker 2: And you can't expect technology to do something as complicated
Speaker 2: as dress a man in clothing and have him stay
Speaker 2: in that same clothing over multiple scenes. Hollywood never figured
Speaker 2: it out so cool.
Speaker 1: That this costs like so much money as well just burning.
Speaker 6: There was some fucking.
Speaker 1: GPU melting and in a data enter in Arizona.
Speaker 7: The strain Carol it is also there's gonna be like
Speaker 7: thirty forty companies trying to recreate the same misshapen wheel,
Speaker 7: you know, for the Max five to.
Speaker 5: Also the little pigs that watch Star Wars, including myself,
Speaker 5: we'll notice every minor inconsistency. Do you think that they're
Speaker 5: gonna tolerate Luke Skywalker's and Watteau and all.
Speaker 7: Their favorite characters they're gonna Do you think that they're
Speaker 7: gonna be happy office with a cyber truck?
Speaker 6: That's gonna be a cyber truck situation?
Speaker 2: You I think the issues are twofold, which is like
Speaker 2: number one. In order to make this shiit sell to
Speaker 2: the people who watch movies, you have to dramatically reduce
Speaker 2: the average intelligence of people watching movies. You have to
Speaker 2: give everyone brain damage, which except they are working in
Speaker 2: Giant And the other thing is the models have to
Speaker 2: get much better. And Jason made a point that like,
Speaker 2: look every time people would like talk about the criticism
Speaker 2: and 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 the These are the kind of like exponential increases
Speaker 2: that we're looking at. So like, if it took them
Speaker 2: so many 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 can
Speaker 2: give him sixty thousand dollars and he'll film that shit
Speaker 2: for you with an old car, Like.
Speaker 3: Yeah, I mean you could, you could even like animate it.
Speaker 7: M I mean, look, you give me a PS four
Speaker 7: and somebody's grandmother and I will make them think that
Speaker 7: they're watching that.
Speaker 4: No, seriously, seriously, dott six.
Speaker 5: But also this I just want to read out some
Speaker 5: of the fucking people that use this model. We started
Speaker 5: working with creatives like Donald Glover, who I said was
Speaker 5: washed ten years ago, fucking sick of people.
Speaker 4: And My Love was a was a good album.
Speaker 6: America is an objectively bad song. It's a bad song
Speaker 6: with a great video. Yeah, I thought he's like kind
Speaker 6: of barn and Bee.
Speaker 5: Stuff's very interesting anyway, moving by, and of course the
Speaker 5: week in it.
Speaker 6: Sorry weekend and some.
Speaker 5: Great I'll work with creators on VO one in form
Speaker 5: the development of VO two, and we look forward to
Speaker 5: working with trusted testers and creators to get feedback on
Speaker 5: this new model.
Speaker 1: How long are you gonna get fucking feedback?
Speaker 6: It stinks.
Speaker 2: We've got some feedback from Yeah, I got thoughts.
Speaker 3: Hopefully those people are are just getting paid to tell
Speaker 3: them words and be like yeah, sure, I'll take your money,
Speaker 3: but if they could be.
Speaker 2: Twenty million dollars, I'm flipping the hope like just yeah, no,
Speaker 2: I will turn on a dime. Speaking of turning on
Speaker 2: a dime for money, here's the ads. Ah, we're back.
Speaker 2: So the next video that our friend I now feel
Speaker 2: he is like a brother to me Jason puts On
Speaker 2: was of an AI generated fictional elderly rock star talking
Speaker 2: about death.
Speaker 3: Oh I'm excited.
Speaker 2: You have to do this plastic and incapable of dynamic
Speaker 2: expression as he guzzles randomly from bottles of liquor that
Speaker 2: flash in and out of existence. Sometimes he lies on
Speaker 2: his back in empty streets while talking about all of
Speaker 2: the all of the cgi featureless women that he has
Speaker 2: loved in his exciting life. Other Times he plays stadium
Speaker 2: shows while obvious GPT written dialogue about aging and death
Speaker 2: drones on. When the video ends, everybody in the room claps,
Speaker 2: And as you watch this, I need to imagine seeing
Speaker 2: the thing that I'm about to show you all and
Speaker 2: a room with like two hundred people in it, all
Speaker 2: clapping enthusiastically. I don't think I did. I did it.
Speaker 2: I did. I said, come the fuck on as loud
Speaker 2: as I could.
Speaker 6: Skywalk up.
Speaker 2: Yeah. So here's fade out and an old man. Ye,
Speaker 2: it looks a little bit like George car It's the.
Speaker 9: End O three, Like the world's just god damn big,
Speaker 9: and you're just to go passing through them.
Speaker 3: M what's he doing?
Speaker 2: Carried my heart concerts?
Speaker 6: Granddad, calm down, scattered.
Speaker 5: I love these slash cuts, said the fast cuts, these
Speaker 5: false cuts because the next frame was unusable.
Speaker 2: Yes actually yes, like that he drank and the bottle
Speaker 2: changed in his hand. You could see it starting to happen.
Speaker 2: What is just anonymous?
Speaker 4: Women destroyed it just in a beautiful music.
Speaker 2: Listen to that lived it to the could you believe
Speaker 2: generated by firing a candle?
Speaker 3: I like?
Speaker 8: Also, the old man does look very different each time,
Speaker 8: very different old man.
Speaker 3: That's a different that's different guy.
Speaker 2: Yeah, that's the Emperor from the first Gladiator.
Speaker 9: Shows and trotting running away from this the way this
Speaker 9: model generates running.
Speaker 2: Die There he is drinking on the fire, old rock star,
Speaker 2: drinking in front of a flame ming house the a
Speaker 2: I loves burning build What.
Speaker 3: Is this voice? I would love to track his tattoos
Speaker 3: from Praying for three.
Speaker 5: We'll say he's about to eat the micro different, I've
Speaker 5: done it, yum.
Speaker 2: Now he's sleeping in a in a broken Mustang, the
Speaker 2: classic Ferrari Mustang mustangs in like a pool in front
Speaker 2: of a mansion. But he clearly isn't questioned to it.
Speaker 2: The car is hovering slightly over the pool like I love.
Speaker 6: This, I love this.
Speaker 2: I love him, And he tells us, He tells us
Speaker 2: during this as if we're supposed to be impressed that
Speaker 2: chatchypt wrote seventy five percent of that's.
Speaker 3: Hell, I can't believe that.
Speaker 10: As a bartender, I regret walking into the room to
Speaker 10: see if people want drinks.
Speaker 6: This is atender. I apologize. I apologize that you had
Speaker 6: to hear a drink.
Speaker 3: I also would like, actually, can I have a drink too?
Speaker 6: We are in the that's.
Speaker 5: Off line, see yes, sweet, and we're all drinking because
Speaker 5: I just want to say I'm fucking disassociating off that.
Speaker 5: I'm so fucking saying every a year of doing this nonsense.
Speaker 5: And I look at these chit eaters and they show
Speaker 5: us that and they like slop down the slop Oh my.
Speaker 2: God, it's it's it's hitting the easiest.
Speaker 1: 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 ad. They
Speaker 2: were one of like three or four companies.
Speaker 3: It takes four companies take companies to make that.
Speaker 2: They have six hundred and twenty two followers on Twitter,
Speaker 2: Hell yes or not? Twitter, YouTube and YouTube on YouTube
Speaker 2: on Youtube't I post this karaoke song and this this
Speaker 2: fade out is their or Sorry The Heist is their
Speaker 2: most successful video with fifty six thousand views. Fade Out,
Speaker 2: which we just watched, has less than five thousand views.
Speaker 2: They're not ready, so they're not They're not quite.
Speaker 3: It's only going to get better.
Speaker 2: Yeah, it's only going to get better.
Speaker 4: That's gonna get better.
Speaker 3: Previously, things will only get round floor.
Speaker 4: Yeah, a small price of one billion dollars.
Speaker 1: This is like one hundred thousand dollars to compute.
Speaker 4: Yeah, imagine how good it would be.
Speaker 3: Much of a billion will only get worth more.
Speaker 2: I mean, I get now, Garrison, I do think you
Speaker 2: should invest all of your salary.
Speaker 6: I just did a sixteenth minute about talking about this.
Speaker 5: I think I would rather hook To has a more
Speaker 5: obvious use case than this shit. Hey, do you want
Speaker 5: to spend way more money to get something way worse?
Speaker 5: I actually can't get over the seventy five percent check GPTWO,
Speaker 5: Like that should be twenty No, it should be theoretically
Speaker 5: it should be it should be one hundred.
Speaker 3: Should be one hundred percent, yeah, not seventy.
Speaker 5: Which means that a quarter a quarter of it was
Speaker 5: just fucking unusable.
Speaker 3: No. Absolutely, they're generating like individual shots that they're like
Speaker 3: stitching together and like who knows how how long it
Speaker 3: takes to like get like the prompt right for that
Speaker 3: shot 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 3: Oh my god.
Speaker 2: It's fifty views and came out a week ago. It's
Speaker 2: called minimonade.
Speaker 3: What it's a word?
Speaker 5: Now it's like when you find your cat's vomited on
Speaker 5: the floor again.
Speaker 2: So first we see a diner called Manimonade that appears
Speaker 2: to be both on the fire light runner, Yeah, light runner.
Speaker 5: Oh god.
Speaker 2: When an old lady Rice is up out of a
Speaker 2: pile of ashes.
Speaker 6: That's how mouths work.
Speaker 3: Where am I.
Speaker 2: Great? AI voice?
Speaker 6: What is this phantasmicgoria? All voice acting?
Speaker 2: It's me, Harrison Ford?
Speaker 1: What the fuck is going on?
Speaker 2: What I think? This is death? This old lady's dead.
Speaker 2: That's how I now. She's tripping on tomatoes. The decaying
Speaker 2: sandy diner that exploded has turned into a lively fifties diner.
Speaker 5: Off Dennis Villain News.
Speaker 4: This is second get a Diner.
Speaker 2: I yeah, ye know. There's a little Indian book he is.
Speaker 2: He is the help though. Yeah, m hm.
Speaker 3: Oh, that's not.
Speaker 2: The little kid just fell down, and the way it
Speaker 2: shows falling is that he just sort of deflays and
Speaker 2: he's up again and he's staring at well, that's terrible.
Speaker 2: We don't need to watch it anymore of that. No one,
Speaker 2: no one, no one want to watch watch.
Speaker 6: This and have a positive reaction.
Speaker 1: They should, they should keep you in a holding cell.
Speaker 2: Ye, I'm deeply unhappy at the time we already spent watching.
Speaker 6: Yeah, like, we don't know what you're gonna do next.
Speaker 4: We're building a facility for you.
Speaker 2: The Phreeze reality distortion field gets used a lot when
Speaker 2: we talk about text, but I really tasted it in
Speaker 2: that room because all anyone on stage could talk about
Speaker 2: is how good it looks. In every one of these videos,
Speaker 2: people are like clapping, They're like, wow, this is amazing.
Speaker 4: What do you think They think? It looks good?
Speaker 6: It looks better than an Xbox.
Speaker 5: Yeah, And the idea is you talk to fing In
Speaker 5: and now a thing came out and that's magical.
Speaker 7: So by virtue of not having humans work on it,
Speaker 7: it's so it's better than you'd have Yeah, Okay.
Speaker 2: There was a moment after this where Jason like joked
Speaker 2: about how like I don't like obviously I don't want
Speaker 2: to replace actors yet yeah, yeah, and another Panels was like,
Speaker 2: I think we're gonna have to make some decision. You
Speaker 2: have to see how some decisions go as to fair use,
Speaker 2: because obviously this is cribbing from a bunch of fucking
Speaker 2: Scorsese like kind of looked like yeah, and Thomas Can and.
Speaker 3: Later On twenty four nine and Denny Villanu in general,
Speaker 3: like all of his films have been like a massive
Speaker 3: source for for these emotion and still generations, so much
Speaker 3: so that like I think like Later On twenty forty
Speaker 3: nine is like one of the easiest films to like
Speaker 3: like replicate film stills almost exactly for based on like
Speaker 3: how like how like load bearing that film has been
Speaker 3: for a whole bunch of these model that could be
Speaker 3: 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 3: Oh, I'm guessing days away.
Speaker 2: No, no, Jason said, probably not at least for a
Speaker 2: decade or so.
Speaker 3: Really, Okay, that's interesting.
Speaker 6: I don't want to wait that long.
Speaker 2: What a worthwhile endeffort?
Speaker 3: Because he could have said shorter, that actually is interesting.
Speaker 8: He could have said anything those um I think it
Speaker 8: is like he did have to spend probably hundreds of
Speaker 8: hours of his precious one human life stitching those those.
Speaker 2: Turts together, and he's like, it's nowhere near ready. There's
Speaker 2: no way it could make a nice he's giving himself
Speaker 2: a yeah.
Speaker 10: Because I've only really seen one interesting genitive video thing.
Speaker 10: But it wasn't a generative video thing. It was they filmed, uh, Brian,
Speaker 10: you know, filmed a documentary and they created, you know,
Speaker 10: some backhand software so that they would be able to
Speaker 10: do cut of existing footage and try to total on
Speaker 10: parts of the documentary. But I never ever see anything
Speaker 10: interested in like constructing narratives or it's a like you
Speaker 10: can't teasing other aspects of the creative process. It's only
Speaker 10: let's try to replace, right, Let's try to so you.
Speaker 6: Can't do narrative with it.
Speaker 3: And that's the thing.
Speaker 2: If if I'd sat down there, because I was sitting
Speaker 2: I said this. I was sitting next to a guy
Speaker 2: from usc who was one of the only people in
Speaker 2: the room who was like similarly critical to me of
Speaker 2: what we were seeing on stage. It was like, look
Speaker 2: if they had come down and been like, look, this
Speaker 2: is how we can plug a script in and it
Speaker 2: can create a storyboard and you can like kind of
Speaker 2: see like a crude CGI animation of how the shots
Speaker 2: will look, and that can help you like plan out,
Speaker 2: like like that's legitimately useful. That's the thing that adds
Speaker 2: value and can cut costs in a meaningful way to
Speaker 2: like the production of good TV and movies. But that's
Speaker 2: not as sexy as like I'm and they were all talking.
Speaker 2: There was this this like very weird moment where one
Speaker 2: of the panels Leslie Shannon, who's head of innovation for Nochio,
Speaker 2: a company that used to make phones and now makes
Speaker 2: panelists who pretend to be entertained by awkward.
Speaker 3: 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 AI 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 6: We attach electrodes to people skulls?
Speaker 2: I would I would have supported electrodes in their skulls. Yes,
Speaker 2: Jesus Christ, we should do the monkeyin thing.
Speaker 4: Perhaps a pair of calipers, some skulls.
Speaker 2: I am fascinating the skull shapes of that fucking so to.
Speaker 5: Say that is there's so many things that you've said
Speaker 5: 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 through, though,
Speaker 2: was called AI Cinematics, Spatial and XR and I just
Speaker 2: want to actually play you guys, you'll have to cluster around.
Speaker 5: I would actually believe that was generated with chat GPT
Speaker 5: from a GPT two point zero.
Speaker 2: So let's start with this one.
Speaker 3: AI will be more impactful than the Internet.
Speaker 2: Maybe, Yes, it's a trick question because it is the Internet.
Speaker 1: That was that was the Internet, so not although it
Speaker 1: can wrong without the Internet.
Speaker 3: So I'm like, oh, yeah, there you go.
Speaker 2: All right, what's what when you impact AI?
Speaker 3: AI is going to resolve in astronomical job losses?
Speaker 4: Uh, there will be an evolution of job long.
Speaker 2: Next, that was the scene I wanted you to hear.
Speaker 2: They're like, we don't want to say it out loud,
Speaker 2: and then everyone chuckles.
Speaker 1: These people are too fucking smug.
Speaker 5: Yeah, these people sound too confident and too chummy and
Speaker 5: too happy to say things about this.
Speaker 6: That's not good.
Speaker 1: I don't a lot of these people laughing about people
Speaker 1: losing jobs.
Speaker 2: No, I shouldn't have jobs.
Speaker 6: That's that's a good place to stop.
Speaker 2: Yeah, I don't like that either. And the people you're
Speaker 2: hearing from. Let me let me tell you who's in
Speaker 2: this fucking panel who was just laughing about, like, well,
Speaker 2: there will be a un evolution law.
Speaker 4: Yeah.
Speaker 2: So the motherfuckers who were all that panel laughing about
Speaker 2: people losing their jobs. Ted Shillowitz literally his name is Shilowitz,
Speaker 2: futurist at Cinemersion, Inc.
Speaker 3: That's like a jame.
Speaker 2: Rebecca Barkin, co founder and CEO laman O One, Aaron
Speaker 2: Luber Director Partnerships at Google IPG Media Lab, Mayla Emir Sadegi,
Speaker 2: Principal program Manager at Engineering Microsoft, and Katie Henson, s
Speaker 2: VP post Production as Fear Studios. So those are the people.
Speaker 3: Who are sore, sad, all laughing and like it's like
Speaker 3: generative AI is like good at like one thing creatively,
Speaker 3: it's good at like streamlining VFX, like workflow to the
Speaker 3: workflow of of how to do like it is it
Speaker 3: is like there's aspect. Famously, the only useful thing it's
Speaker 3: been used for is making people's eyes blue in Dune
Speaker 3: Part two.
Speaker 2: It's not one hundred billion dollars.
Speaker 3: And like it is applicable for like changing objects into
Speaker 3: other objects on screen. It can produce really like kind
Speaker 3: of odd like uncanny effects that could be utilized by
Speaker 3: a team of human artists. Really well, what it can't
Speaker 3: do is generate a short film that is in any
Speaker 3: way compelling. Is well that is anyway compelling as a
Speaker 3: piece of art, okay, And the fact that they're like
Speaker 3: laughing at how much how much of.
Speaker 5: Lost enough jobs they have not that had structures full
Speaker 5: to the beauty of the flame, right.
Speaker 2: Although the AI keeps keeps foreboding coming for them.
Speaker 4: It wants something fames.
Speaker 2: I'm going to end on a happy note because the
Speaker 2: last panel I went to was actually really cool. It
Speaker 2: was AI and the Crisis of Creative Rights, Deep Fakes,
Speaker 2: ethics and the Law, and it featured the first intelligent
Speaker 2: person that I've seen at CEES this year, Moya McTeer,
Speaker 2: who is a folklorist and senior advisor at the Human
Speaker 2: Artistry Campaign. It also featured Duncan Crabtree Ireland, who's the
Speaker 2: national executive director and chief negotiator of sag Aftra. There
Speaker 2: we go, There we go, and this was no bullshit.
Speaker 2: It was talking about all of the different law suits
Speaker 2: that are going on right now, all of the litigation
Speaker 2: around AI, and like the actual strategy for litigating, and
Speaker 2: like there was a couple of points where like Duncan
Speaker 2: was like a lot is going to hinge on some
Speaker 2: very brave, very famous people choosing to throw down some
Speaker 2: big dollar lawsuits, Like that's what we need right now.
Speaker 2: They did talk about the No Fakes Act, which has
Speaker 2: bipartisan support and gives some legal force to allow people
Speaker 2: to push for AI copies of themselves to be taken down.
Speaker 2: And they think there's also some bipartisan possibility to get
Speaker 2: AI labeling like legislation.
Speaker 5: The thing is, any of these things would be fucking
Speaker 5: fail because if what you have to remove something from a.
Speaker 1: Model, how the fuck do we do that?
Speaker 4: Yet we don't know you have the entire module, you.
Speaker 1: Have to retrain like it, 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 art.
Speaker 3: And this has to be like one of maybe five
Speaker 3: people who are doing panels at the CEES who's like
Speaker 3: willing to say that yes.
Speaker 2: And Duncan got I was like, look, you can't stop
Speaker 2: the technology from being invented, so the best path forward
Speaker 2: is to like try and channel this into a direction
Speaker 2: that like is at least better for artists. Like they were,
Speaker 2: there was very little for most of the people on
Speaker 2: the panel, very little bullshit. There was some bullshit from
Speaker 2: one person on the panel, Jenny Katzman, Senior director of
Speaker 2: Government Affairs from Microsoft. That was fun. So after there's
Speaker 2: this whole point where like everyone else on the panels like, yeah,
Speaker 2: I think it's probably in that negative for artists on
Speaker 2: the whole, and Jenny comes on she's like, actually, I
Speaker 2: think it's a net positive and her example of this is, well,
Speaker 2: you know, think there's a lot of stuff that you
Speaker 2: couldn't do before that. Thanks to AI, you could do
Speaker 2: like d aging Harrison Ford for the Indiana Jones movie.
Speaker 3: Something everyone everyone loved and great creative.
Speaker 5: This is the fucking problem with all of this, on
Speaker 5: top of house ship it is and how expensive it is.
Speaker 5: Which kind of AI are we talking about? That dipshit
Speaker 5: that's not generative AI. That's not what that fucking was.
Speaker 3: And they still suck, And it also steals us from
Speaker 3: being able to cast a young River Phoenix explain lovely.
Speaker 2: The only things getting cast in more stuff, Garrett, I'm
Speaker 2: very unfair.
Speaker 3: Well, luckily with the power of AI.
Speaker 6: Look, I can put.
Speaker 2: Into every newspaper sequentially starting in eighteen thirty four, so
Speaker 2: I've not gotten to the end of Phoenix. It would
Speaker 2: be a really long career.
Speaker 3: It would be really.
Speaker 2: Cool sleeping guy. I think he's got the bold ideas.
Speaker 2: This is gonna work out really well for Germany.
Speaker 3: It would be really cool that instead of just doing
Speaker 3: Young Harrison for they just do a River Phoenix deep
Speaker 3: fake for.
Speaker 2: You generate him.
Speaker 3: Look it's canonical.
Speaker 2: Yeah great.
Speaker 5: Oh I love the movies in the future of them too.
Speaker 5: This is so good. This is so bad.
Speaker 3: James mangled.
Speaker 2: You're a hackenel So I gotta say it was very
Speaker 2: funny because she also suggests Jenny, there's we could use
Speaker 2: animals without causing harm thanks to AI, a thing that
Speaker 2: no one had figured out how to do before. Nobody
Speaker 2: had ever figured out how just like not hurt animals
Speaker 2: in movies that didn't exist before AI.
Speaker 3: I thank god, thankfully AI will never do any harmed
Speaker 3: animals or the environment.
Speaker 7: Nobody asked the lobbyist for Microsoft, what else the company
Speaker 7: is doing with AI, right, with police deployments or with
Speaker 7: fossil fuel companies?
Speaker 2: Yeah? Is that bad for animals?
Speaker 9: No?
Speaker 4: Actually, it's really good. They they need it. They they
Speaker 4: yearned for the moment.
Speaker 2: They love data. 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: That sounds like you guys are saying a bunch of
Speaker 7: woke shit on this panel.
Speaker 2: Alright, all right, Microsoft, once.
Speaker 6: On the panel, someone to go and say, what the
Speaker 6: fuck do you mean?
Speaker 2: What do you mean closest to that that you were
Speaker 2: going to get.
Speaker 3: I think we do need a balance of some people
Speaker 3: being fired like these people, and other people keeping their
Speaker 3: jobs like everyone like moya give somebody.
Speaker 7: Has to lose, and somebody has to exactly that's their
Speaker 7: entire Somebody has the guns, somebody doesn't.
Speaker 6: Somebody knows the way the maze works, and.
Speaker 4: Something as gonna what we shouldn't have guns.
Speaker 5: We shouldn't have a man and one of them knows
Speaker 5: the maze and have a gun.
Speaker 2: We should have a gun maze you talking about the gun? Now? Look,
Speaker 2: we all like keeping a couple of people in a
Speaker 2: maze beneath our house, right, Yeah, there's nothing wrong with this.
Speaker 3: This is just the dormant next this we just we
Speaker 3: keep doing it.
Speaker 2: It's it's a nice maze under my house.
Speaker 5: They have.
Speaker 6: It's nice to run some of them.
Speaker 4: Through one of the corners.
Speaker 5: The Minota gets them only sometimes I'm the Minotta. Anyway,
Speaker 5: the gun maze isn't real, So most of their arguments
Speaker 5: can mostly just come down to, well, you can't make
Speaker 5: an omelet without breaking like you have to fucking make people.
Speaker 2: You have to break the human drive to create art, obviously,
Speaker 2: to make an does not taste good.
Speaker 6: Yeah, 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 this
Speaker 2: esteemed chapel to make the piss armlet.
Speaker 1: Computer made it, though, Yeah, go on clap for the computer.
Speaker 2: We did firebomb the Louverra. But look look at this,
Speaker 2: Look at this rock star?
Speaker 3: 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.
Speaker 1: Yeah, this is just my first day. Better offlines here
Speaker 1: all week.
Speaker 5: I'm gonna hear about stuff like this all week, and
Speaker 5: I think I'm gonna be fully jokeified.
Speaker 6: I'm gonna wake up in the clown makeup on Friday.
Speaker 4: I'm gonna find the funnest thing to bring back for you.
Speaker 5: I'm gonna find a an artist to put me in
Speaker 5: full joke.
Speaker 2: Now, I'm gonna try to steal that AI enhanced grill
Speaker 2: grill that you can I just like move this around.
Speaker 2: I just want to test that would roll open the door,
Speaker 2: open the door.
Speaker 5: As someone who's done a lot of like grilling, done
Speaker 5: a lot of spoken barbecue, I don't know what I
Speaker 5: would do.
Speaker 6: Is it gonna talk to me in the.
Speaker 2: Wait till you are you? Are you trying to tell
Speaker 2: us here at z tray that you have grilled meat
Speaker 2: without a robot texting you about it? Because I just
Speaker 2: don't believe.
Speaker 1: I don't know how I did it, but I did it.
Speaker 2: You're never is always dreamed of knowing how to cook
Speaker 2: the robots. It was impossible.
Speaker 6: 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 It could happened here is
Speaker 2: a production of cool Zone Media.
Speaker 3: For what podcast cool Zone Media, visit our website Coolzonmedia
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Speaker 4: Thanks for listening.