Speaker 1: From UFOs to psychic powers and government conspiracies. History is
Speaker 1: riddled with unexplained events. You can turn back now or
Speaker 1: learn this stuff they don't want.
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Speaker 3: Hello, welcome back to the show. My name is Men,
Speaker 3: my name is noelh.
Speaker 4: They call me Ben.
Speaker 2: We're joined as always with our super producer Alexis, code
Speaker 2: named Doc Holliday Jackson. Most importantly, you are you. You
Speaker 2: are here. That makes this the stuff they don't want
Speaker 2: you to know. It is the top of the week,
Speaker 2: which means it's time for some strange news, and we're
Speaker 2: going to talk about some crime. We're going to talk
Speaker 2: about some surveillance. We're going to talk about, of course,
Speaker 2: a couple of heist gone wrong. We are going to
Speaker 2: ask what rough beast slouches towards the Bethlehem of the
Speaker 2: Dead Internet theory before we do any of that. Fellow
Speaker 2: conspiracy realist, we are fans of music in all form,
Speaker 2: and Noel, you found a pretty amazing story.
Speaker 4: Well yeah, I mean, you know, a lot of the
Speaker 4: conversation around AI, especially as it pertains to corporations using AI,
Speaker 4: sort of feels like this desperate attempt to capitalize on
Speaker 4: the hot new technology or whatever, not even to mention
Speaker 4: the dystopian aspects of AI the job depriving the future
Speaker 4: aspects of AI or a machine learning to be a
Speaker 4: little more accurate. So it's kind of rare even when
Speaker 4: you see one that seems a little innocuous, Like you know,
Speaker 4: the Beatles released a pretty nothing burger of a song
Speaker 4: that I've already literally forgot in the name of where
Speaker 4: they used AI to clean up the audio on a
Speaker 4: John Lennon demo. Essentially that was like I think him
Speaker 4: playing a tune on the piano, and they used AI
Speaker 4: as you know, an interesting tool. It wasn't like to
Speaker 4: resurrect John Lennon's from the Dead, you know, to fully
Speaker 4: create this thing that never actually happened. It was you know,
Speaker 4: using you know, machine learning as a forensic tool of
Speaker 4: audio reconstruction.
Speaker 2: I do like John Lennon's.
Speaker 4: By the way, John Lennons, there's there's there could be
Speaker 4: more than one. If hey if if, if big corporate
Speaker 4: America has their way, there will be many John Lennons
Speaker 4: fed by machine learning. But you know, there was a
Speaker 4: lot made of that story when it came out because
Speaker 4: there were a lot of people saying, oh gross, using
Speaker 4: AI to you know, dishonor the dead and create this song.
Speaker 4: Not cool beatles, but a lot of those stories buried
Speaker 4: the leader at the very least people chose not to
Speaker 4: look into a little bit deeper beyond the headlines to
Speaker 4: determine yes and fact. That was just a use of
Speaker 4: that kind of software, that kind of technology as a tool.
Speaker 4: And you know, Matt and I work pretty extensively with
Speaker 4: audio and stuff and using tools like isotope RX to
Speaker 4: you know, clean up noisy recordings, get rid of things
Speaker 4: like room tone or the drone of an air conditioning.
Speaker 4: And while I know a lot of audio plugins are
Speaker 4: starting to use more machine learning algorithms to figure that
Speaker 4: kind of stuff out, it's sort of still kind of,
Speaker 4: you know, the early days for that kind of stuff,
Speaker 4: and you're really just starting to see some of those
Speaker 4: tools incorporating this technology. I think we could all agree
Speaker 4: that's pretty cool. That's a use of that tech that's
Speaker 4: neat and that actually is a value and is still
Speaker 4: requiring engineers to implement the tool and to use it,
Speaker 4: you know, to create great audio, whether it be in
Speaker 4: podcasts or in music. You know, with so many people
Speaker 4: recording records at home. Being able to clean up audio
Speaker 4: that maybe wasn't recorded in the most optimal situations is
Speaker 4: a really cool thing.
Speaker 3: Well, just really quickly on that, think about all of
Speaker 3: the amazing tools that exist for video editing and how
Speaker 3: far that's come. Right, being able to isolate elements back
Speaker 3: the image and like do all that kind of stuff.
Speaker 4: Adaptive whatever it can sense, the edges it can sense,
Speaker 4: you can replace elements to create really cool video effects,
Speaker 4: not just deep fakes.
Speaker 2: Yeah, it's super good at this, by the way, folks.
Speaker 3: But what I'm saying is even before any of this
Speaker 3: AI integration, video effects and editing and the way you
Speaker 3: could manipulate a visual image became was becoming extremely powerful
Speaker 3: the things you could do right. But with audio for
Speaker 3: a long time, I think it has to do with
Speaker 3: the nature of the wave and the signal and what
Speaker 3: you actually get when you record right. With microphones and things,
Speaker 3: it's very hard to separate pieces, right. Let's say, if
Speaker 3: there's a sound that occurs at the same time as
Speaker 3: another sound. For a long time, there was almost no
Speaker 3: way besides isolating specific frequencies to do anything.
Speaker 4: I used to work at a guitar shop. You probably
Speaker 4: have an idea or can't imagine how often people came
Speaker 4: in and said, hey, you got to miss That'll cut
Speaker 4: the vocal out of this scene so I can make
Speaker 4: it into a karaoke track. I kid you not. It
Speaker 4: happened once every couple of days. So now to your point, Matt,
Speaker 4: through machine learning, that is possible, and I couldn't exactly
Speaker 4: explain to you how it's done, but there are quite
Speaker 4: a few tools that can do just that. And the
Speaker 4: long winded way of getting to today's story that I brought,
Speaker 4: which is about the country singer Randy Travis who in
Speaker 4: twenty thirteen suffered a severe stroke that left him unable
Speaker 4: to speak, which of course means unable to sing. He
Speaker 4: also had had issues with mobility due to that and
Speaker 4: has you know, largely faded from the public spotlight since
Speaker 4: that point. You might know Randy Travissey. I think he
Speaker 4: had hits like as far back as like the early eighties.
Speaker 4: My girlfriend, who's a bit of a country enthusiast, it's
Speaker 4: not my particular genre of choice. I think I like
Speaker 4: classic country. I like outlawk country, that kind of stuff.
Speaker 4: More of the schmaltzy kind of radio country stuff like
Speaker 4: that doesn't really do it for me, but you could
Speaker 4: argue Randy Travis sort of straddles those genres. And I
Speaker 4: think one of his famous songs is called like for
Speaker 4: I Love You Forever and Ever a man as long
Speaker 4: as Old Women talk about Old Man or something like that,
Speaker 4: and didn't quite bail it, but it's apparently a really
Speaker 4: really sweet song. And he was known for having a
Speaker 4: very kind of non traditional, very laid back delivery, and
Speaker 4: that was sort of his you know, stocking trade, and
Speaker 4: so he was very beloved, not necessarily known as like
Speaker 4: a belter per se or having like this some kind
Speaker 4: of crazy range, much more of an everyman kind of singer.
Speaker 4: You know.
Speaker 2: On the other hand, that's worth it for like twelve people.
Speaker 4: On the other hand, is that a ready Travis dress.
Speaker 2: On the other head, of course, he is a we're
Speaker 2: talking about this off air. He's kind of a comfortable,
Speaker 2: hangout singer. That's exactly right, right.
Speaker 4: So essentially what's happened here, and again, this is an
Speaker 4: initiative through this record company, Warner you know, Warner Brothers,
Speaker 4: Warner Media whatever their record wing of that giant media conglomerate.
Speaker 4: But I would argue a pretty good one of like, hey,
Speaker 4: we're going to try it out the use of this
Speaker 4: AI technology to give Randy Travis his voice back, with
Speaker 4: full cooperation from Randy himself, from his legacy producer of
Speaker 4: many years, and a fellow country singer named James Dupree
Speaker 4: who kind of laid down what you might call the
Speaker 4: guide vocal for the track. So basically, you sing the
Speaker 4: song kind of knowing how Randy's cadences might go and
Speaker 4: the way he might deliver the song, and then by
Speaker 4: going through forensically scraping I guess, I mean, I think
Speaker 4: that terms kind of become a little gross too, but
Speaker 4: you get what I'm saying. His back catalog. I think
Speaker 4: they took forty two of his isolated vocal tracks, which
Speaker 4: you might call stems in the parlance of recording. It's
Speaker 4: just the vocal part solo. No AI required, right, because
Speaker 4: you have the original master tapes, which is multi track,
Speaker 4: so all of those things can be then split out out.
Speaker 4: So forty two of his vocal isolated recordings were then analyzed,
Speaker 4: let's say, and overlaid on top of this James Dupree vocal,
Speaker 4: and apparently the results A it's charting, it's debuted where
Speaker 4: that came from the song, the new song from Randy Travis.
Speaker 4: And in this situation where there's agency, I think you
Speaker 4: can call it by Randy Travis. What do you guys
Speaker 4: think about that? Let let's start with that first of all,
Speaker 4: if there is co signed by the artist himself, not
Speaker 4: Drake dropping an AI rap verse on a you know,
Speaker 4: disk track from Tupac of course, who is not with us,
Speaker 4: and also from Snoop Dogg. Weirdly, we actually didn't talk
Speaker 4: about that in our Drake segment. That's one of the
Speaker 4: weirdest parts of that whole rap u. That is no
Speaker 4: agency that is done without the permission of the people
Speaker 4: living or deceased, their families that have that have been
Speaker 4: left behind, and you know, Tupac's estate had a real
Speaker 4: problem with that and had it taken down. But in
Speaker 4: this case there has been all of the things and
Speaker 4: Randy himself. So can you really call this a Randy
Speaker 4: Travis song? This is really kind of a new frontier
Speaker 4: of media, Like he didn't actually sing it. This other
Speaker 4: guy sang it, but then they took his voice and
Speaker 4: they overlaid it and he was involved. You know, it's
Speaker 4: very interesting question. I don't know what you guys think
Speaker 4: about that, And then we'll get to some other stuff
Speaker 4: with some other aspects of this story.
Speaker 3: Well, I haven't heard it, guys. Does it sound like
Speaker 3: it's just him recording in a booth?
Speaker 4: I think so. I mean, you know this kind of
Speaker 4: very polished country. It's got a certain sheen to it.
Speaker 4: You know a lot of theah, there's auto tune used
Speaker 4: in big country artists, and auto tune again as a tool,
Speaker 4: he's gotten more and more transparent where it doesn't sound
Speaker 4: like auto tune. There's even this other auto tune is
Speaker 4: actually these days, in my experience, used more to sound
Speaker 4: like auto tune, where it is very much meant to
Speaker 4: be an effect, like in trap music or or you know,
Speaker 4: a Polish pop. It's almost like that robot voice that you.
Speaker 2: Know he being could actually singul to know that. Check
Speaker 2: out the Tiny Desk concert. The guy has a voice
Speaker 2: of an angel.
Speaker 4: Picasso could paint landscapes. The guy it was classically trained artists.
Speaker 4: He just chose to paint like a like a small child.
Speaker 4: I'm kidding. I love Picasso, but I'm saying people often
Speaker 4: joke about like, how, oh man, anybody could do that?
Speaker 4: Blah blah blah. No, a lot of these artists, they
Speaker 4: made those choices. That is often the case with auto
Speaker 4: tune these days. It's a choice, it's an aesthetic choice.
Speaker 4: Melodine is another tool that is much more for correcting mistakes,
Speaker 4: correcting little warbles, and it's real precise and I've used
Speaker 4: it and it's it's miraculous. You've probably seen uh sort
Speaker 4: of jokey videos online where someone will take a song
Speaker 4: and retune it and like make it sound completely different.
Speaker 4: That's all using melodye. So in my opinion, it does
Speaker 4: sound like a real Randy Travis on me not being
Speaker 4: a you know, Randy Travis super fan, I couldn't say
Speaker 4: for sure, but by all accounts, he loved it. Apparently
Speaker 4: he you know, when they played it for him. There's
Speaker 4: a video of him kind of taking it all in
Speaker 4: and you see him sort of go through this range
Speaker 4: of emotions, and I believe the emotion that he lands
Speaker 4: on is gratitude. He uses the word grace, you know,
Speaker 4: in his discussion of this song, and he believes this
Speaker 4: was a form of a divine second chance.
Speaker 2: So like when a Frank Sinatra watched Pavati singing some
Speaker 2: of his hits.
Speaker 4: That's a good point, man, That's my question to you, guys.
Speaker 4: Though it is like that sort of but it's also
Speaker 4: different because it is charting as a new song from
Speaker 4: the country megastar Randy Travis. But it's also that ship
Speaker 4: of thesis kind of question, isn't it guys? Like, is
Speaker 4: it really him? If it's actually sung by someone else
Speaker 4: in the overlaid with pieces of him? I don't know.
Speaker 4: I think it's that's a philosophical question, right, I don't
Speaker 4: really have the answer.
Speaker 2: Well, it's licensing at that point.
Speaker 4: It is licensing, that's right, it's But at the same time,
Speaker 4: it's a little different than Abba or Kiss selling their
Speaker 4: likenesses to the the Hologram factory, you know, for constant
Speaker 4: perpetual touring. You know, that's on rails. They've created this show.
Speaker 4: There's see this is kind of on rails too. I
Speaker 4: don't know, guys, I'd love to hear from conspiracy realists
Speaker 4: out there. Is this really Randy Travis? Is that? Even
Speaker 4: the point? I don't know. His producer, Kyle Lemming is
Speaker 4: the one who went through the old recordings. The lyrics
Speaker 4: are ten years old. So this is something that I
Speaker 4: think was meant for him in the first place. I'm
Speaker 4: not one hundred percent sure, but it does have three
Speaker 4: point three million streams in its very first week, which
Speaker 4: is pretty neat. I just think this is sort of
Speaker 4: like a feel good, a high story in the midst
Speaker 4: of a lot of real scary, doom and gloom AI stories.
Speaker 4: And I think I don't think anybody could argue that
Speaker 4: this is a pretty interesting use of this tool, you know,
Speaker 4: and other AI related I guess positive news or you
Speaker 4: know where AI with agency news If anyone's familiar with
Speaker 4: the singer and dancer, pretty amazing artist fka Twigs. She
Speaker 4: actually spoke before like a house committee, I believe, on
Speaker 4: the use of AI, and she has developed an AI
Speaker 4: deep fake avatar of herself that she with agency from
Speaker 4: her and her team want to be able to have
Speaker 4: interact with fans. So, you know, is it a genie
Speaker 4: out of the bottle kind of situation? If it's done correctly,
Speaker 4: can you put the reins on it? Can it be
Speaker 4: rained in? I guess there's a better way of putting that.
Speaker 4: I don't know. I'd like to think so, but I
Speaker 4: want to end. But I want to end this segment
Speaker 4: unless you guys had any other stuff to add.
Speaker 3: No, I can't wait to listen to the song.
Speaker 4: I also want to give it another listen.
Speaker 2: I will point out again broken record style. Hope me
Speaker 2: on this. It is fundamentally philosophically fraudulent to describe any
Speaker 2: intelligence as artificial.
Speaker 4: It's fair. I think that's fair and a good reminder.
Speaker 4: So this is really quick, and this is really just
Speaker 4: for for laws, y'all. I think this is a really
Speaker 4: sweet story. I recently came across a kind of a
Speaker 4: new I guess burgeoning hilarious sort of joke scene on
Speaker 4: the internet. We talked about dead Internet theory. A lot
Speaker 4: of that is being perpetuated and really escalated by AI
Speaker 4: content creation, right, but a lot of that stuff, I mean,
Speaker 4: it's gonna get more advanced, like it does require prompts
Speaker 4: from human beings. And I stumbled upon a treasure trove
Speaker 4: of AI generated country songs. And this one here was
Speaker 4: entirely AI generated. A human had to have prompted it.
Speaker 4: Because you're gonna hear some some real themes here, y'all. Well,
Speaker 4: let's just this is here real quick. This is a
Speaker 4: big red cups. I got beer in my boots, dirn
Speaker 4: on the truck, corn on the mone and a god
Speaker 4: of my butt.
Speaker 5: It's a stop town, leister's dirt, bleister's beer trucks.
Speaker 4: And sure.
Speaker 2: This is not bo Burnham, by the way.
Speaker 4: Consent butts, red cups, dirty beer, folks.
Speaker 2: I wish you could see Matt's pace right now. I
Speaker 2: wish you could see an old dancing to this one.
Speaker 5: The butts are proud, y'all, biscuit in my boot?
Speaker 4: Sorry, all right enough, Oh my goodness, gracious, what do
Speaker 4: you guys think about that?
Speaker 3: I mean, guys, I live out in the country.
Speaker 4: Now, yeah, you got big, you got boots and boots, trucks,
Speaker 4: get mud, and there are any guns and butts out there?
Speaker 3: Of course that's all. It's all true. No, no, it's
Speaker 3: I feel offended on behalf of everybody that lives within
Speaker 3: with several miles Listen.
Speaker 4: That's why I point out that someone didn't just right
Speaker 4: AI make a country song. Someone said make a country
Speaker 4: song about guns and butts. Okay, that didn't come out
Speaker 4: of whole cloth, I guarantee, because as we know, with
Speaker 4: these tools, they require prompts, and sometimes these prompts can
Speaker 4: be very targeted and focused, whether it be for visual
Speaker 4: stuff or what have you. I thought that was really funny.
Speaker 4: It made me laugh. I shared it with anyone who
Speaker 4: would listen. Now I shared it with you.
Speaker 2: AI is o Henry's Monkey Paul, also coming from parts
Speaker 2: of rural Appalachia. I think they would dig this song.
Speaker 4: I think they would do. It's a banger of a chorus, yeah,
Speaker 4: and it certainly does when you when you when you
Speaker 4: step away from the jokiness of it. If an AI
Speaker 4: did compose the melody and hook of that, whether the
Speaker 4: prompt you know that probably Again, I haven't messed with
Speaker 4: one of these audio AI things like that, but pretty
Speaker 4: impressive and a little scary in terms of what that
Speaker 4: means for pop music and artists like James Blake. I've
Speaker 4: really come out saying how the record industries are really
Speaker 4: pushing this narrative of like ten second clips for a TikTok,
Speaker 4: five second, fifteen second clips from TikTok, which is pushing
Speaker 4: the way music is consumed much more towards a world
Speaker 4: where AI generated stuff would fly.
Speaker 2: And that's not coolish. I would dig this song.
Speaker 4: It's a real fist pumper, y'all, and I just think
Speaker 4: it's gonna get weirder from there. So I use that
Speaker 4: kind of jokey bit just to point out some of
Speaker 4: the scary parts of this stuff too. Weren't you weren't
Speaker 4: going to get an AI story on stuff that I
Speaker 4: want you to know without a little bit of doom
Speaker 4: sprinkled in there for good measure. So at least we
Speaker 4: could wrap that doom. And you know, guns and butts.
Speaker 3: Big red cups, dirty trucks, dirty truck dirty but.
Speaker 4: A biscuit in my boot, corn on my mind. You know,
Speaker 4: you know, I'm always out there thinking about that corn. Wow.
Speaker 4: I don't know, guys, this is fun and scary and sweet.
Speaker 4: I'm feeling a lot of emotions. Let's take a quick
Speaker 4: break here, a word from our sponsor, and then come
Speaker 4: back with more strange news.
Speaker 3: And we've returned. Guys, We've got a bit of a
Speaker 3: mystery that's going to take us down let's say a
Speaker 3: forking path, and we'll explore it as it forks. The
Speaker 3: first story comes from CBS News or k COW News.
Speaker 3: That's a California. It was posted on May eighth, twenty
Speaker 3: twenty four, and it is regarding one woman's experience. The
Speaker 3: title is hidden Camera Found planted outside of Chino Hills
Speaker 3: woman's home. And I'm just going to read a couple
Speaker 3: of the details here and then let's discuss A woman
Speaker 3: living in Chino Hills, California, was disturbed to learn that
Speaker 3: a camera disguised as a rock had been planted outside
Speaker 3: of her home. The camera was planted in the ground
Speaker 3: across the street from her house. It's believed that the
Speaker 3: camera was placed on April twenty ninth, where it sat
Speaker 3: for several days before being spotted by a neighbor. It
Speaker 3: was a camera wrapped in clay to make it look
Speaker 3: like a rock, and it was attached via cable to
Speaker 3: a very large power bank that was actually larger than
Speaker 3: the entire you know, fake rock itself. So like a
Speaker 3: long term yeah, just sitting there across the street from
Speaker 3: this house. The neighbor who found it was able to
Speaker 3: actually download some of the images from it, so it's
Speaker 3: not as though it was attached to Wi Fi. Well
Speaker 3: maybe it was, but if it was attached to Wi Fi,
Speaker 3: it was also capturing images locally to the device. So
Speaker 3: the neighbor downloaded an image from the camera that showed
Speaker 3: the moment the hand places it there. Somebody was wearing
Speaker 3: a glove like looks like a gardener or something, places
Speaker 3: it down there. But then the neighbors, knowing the date
Speaker 3: and time, looked at their own security cameras and found
Speaker 3: the moment that somebody rides up on a scooter and
Speaker 3: just kind of, you know, stops for a moment, goes down,
Speaker 3: puts something or messes with the ground in some way, right,
Speaker 3: and then just rides right off. And that's it. That's
Speaker 3: all they know. Uh So everybody is just trying to
Speaker 3: figure out why, and the woman obviously is going, oh, okay,
Speaker 3: what am I dealing with here? We've got several options, guys,
Speaker 3: what do you think is most likely that this could be.
Speaker 2: It's tough to guess without more information.
Speaker 3: Okay, no, right options. I'll throw the first one out.
Speaker 3: What if it is, and this one's way out there.
Speaker 3: What if it is a BTK style person that is
Speaker 3: casing a human being, watching a human being to see
Speaker 3: their movements, their patterns and everything like that, like a serial.
Speaker 2: Killer, a predator scoping like the bomb torture killed Dennis
Speaker 2: Radar guy. Cinematic possible, but maybe not plausible. Those fates
Speaker 2: are kind of rare.
Speaker 3: Okay, Well, what would be more common then maybe uh,
Speaker 3: burglar or someone who's casing the joint just to steal
Speaker 3: from it.
Speaker 2: Yeah, that's I almost said a good one. That's a
Speaker 2: more plausible one.
Speaker 4: It's also a commitment to the bit, right, I mean,
Speaker 4: you know.
Speaker 2: The possibility of a stalker without necessarily serial killer level
Speaker 2: predation at this point. You know, Matt, in the notes
Speaker 2: you you said, this could also just be someone trying
Speaker 2: to rob a house or chasing the joint for the
Speaker 2: worst hoa ever.
Speaker 3: Yeah, it could be that. What if it's a private
Speaker 3: investigator that was hired by some outside party that is
Speaker 3: trying to capture something specific or activity going on?
Speaker 4: Oh? Well, have you guys been watching this show Sugar
Speaker 4: on on Apple TV. It's a private investigator type show.
Speaker 4: It's set in the modern day, but it's kind of
Speaker 4: got these old school you know, Noir detective advised. But
Speaker 4: dude is constantly placing hidden cameras on stuff, right all
Speaker 4: the time.
Speaker 2: Oh yeah, bigtim We'll get in situations.
Speaker 3: Well, that's a common thing, right, especially if you're in
Speaker 3: a cheating spouse situation, A PI will place camera us
Speaker 3: in front.
Speaker 4: To be completely wireless, it would have to have a
Speaker 4: big old power supply like that you couldn't how would
Speaker 4: it would be such a giveaway if you tapped somebody's
Speaker 4: electricity or you know, it have to have a big
Speaker 4: old battery too, and then you probably have to go
Speaker 4: back in and replace it with a charge one.
Speaker 2: And not to victim blame at all in any way,
Speaker 2: but to understand this story, Matt, it sounds like we
Speaker 2: need to learn more about the woman in Chino Hills
Speaker 2: she identified, Like is there do we know anything about
Speaker 2: her background or possible like malevolent forces that might have interacted.
Speaker 3: With No, we have, We have no information. This is
Speaker 3: like a one off story that at least to my knowledge,
Speaker 3: came out last week and it's that's all I've seen
Speaker 3: about it. And I haven't even pursued it further because
Speaker 3: I kind of don't want to know. That's that lady's business.
Speaker 3: I don't want to whatever she's getting into. The reason
Speaker 3: I'm bringing to you guys is to kind of go
Speaker 3: down this pathway of why would someone place a hidden
Speaker 3: camera across the street from a house. The only other
Speaker 3: thing I have like thinking about it would be some
Speaker 3: kind of law enforcement issue where they're trying to watch
Speaker 3: either a house or a specific walkway where people are traveling.
Speaker 3: But usually for law enforcement, you would have to have
Speaker 3: a human being monitoring that stuff. So you've got that
Speaker 3: chain of custody thing.
Speaker 4: Right, Yeah, in a windowless van, right.
Speaker 3: Yeah, usually a human being on hand somewhere making sure
Speaker 3: that at all times people know what is happening in
Speaker 3: time stamping things.
Speaker 2: So and also I hope she's okay.
Speaker 4: Oh absolutely, I was joking about what did she do?
Speaker 4: No victim? Let me hear at all. I just want
Speaker 4: to add, Matt. I think one thing that piques all
Speaker 4: of our interests about this is the very clever, you know,
Speaker 4: camouflaging of the camera. It's not something that I've really
Speaker 4: thought about it or seen before. It's like a fake
Speaker 4: rock looking thing. Somebody puts some thoughts or time and
Speaker 4: some energy into.
Speaker 3: This, Yeah, but then they just kind of covered it
Speaker 3: with leaves with a giant metal power thing attached to it.
Speaker 4: Okay, that's like a tracking compliment, You're right.
Speaker 3: It's just it's a weird combination of things, right, which
Speaker 3: just makes you go, what.
Speaker 4: Is going on? Laziness?
Speaker 2: Yeah, I guess so it is possible to be stupidly smart.
Speaker 3: Hey, there you go. There you go. So, guys, the
Speaker 3: next story that I wanted to jump to from this
Speaker 3: thinking about this story is a story here from Boston
Speaker 3: twenty five News from a while ago. This is April
Speaker 3: twenty sixth, But it made me think about this story.
Speaker 3: There was a group of four men who were recently
Speaker 3: arrested for casing and burglarizing forty three homes. These four
Speaker 3: men carried out forty three successful burglaries and stole more
Speaker 3: than four million dollars worth of that's an estimate worth
Speaker 3: of valuables. It was across twenty five towns in Massachusetts
Speaker 3: from twenty eighteen to twenty twenty four.
Speaker 2: Oh that's a long time window.
Speaker 3: It is a really long time window. And here is
Speaker 3: the part that astounded me in reading the story. You guys,
Speaker 3: think about all the ring cameras out there, all of
Speaker 3: the simply safe and blah blah blah, all the r
Speaker 3: low cameras. These guys were only caught on camera out
Speaker 3: of forty three burglaries one time. One time. Isn't that
Speaker 3: kind of astounding. It makes you wonder how in the
Speaker 3: heck they could do that. And I learned about something
Speaker 3: through this article. I didn't know that you could jam
Speaker 3: Wi Fi signals in a local area as somebody who
Speaker 3: was not law enforcement or not, you know, and in
Speaker 3: working for an intelligence company, you can just get a
Speaker 3: device that will jam Wi Fi signals, essentially making all
Speaker 3: of these camera systems inert because if they're not connected
Speaker 3: to the Wi Fi generally they don't function unless there
Speaker 3: are a specific type of camera. Of some of them
Speaker 3: will function whether they have signal or not, and they
Speaker 3: store locally and then upload.
Speaker 4: Yeah, really popular one is called the camera.
Speaker 3: Mamma jamma, camera, mamma jamma.
Speaker 4: I just made that up. That's not true.
Speaker 3: Oh I thought it is.
Speaker 2: Now we just lack mirrored it. Also, also, it is,
Speaker 2: to be fair, folks, it is completely legal to buy
Speaker 2: those products or to manufacture them on your own.
Speaker 4: Is that because it's all public air, like where you're
Speaker 4: jamming at like like I don't know, like who owns
Speaker 4: the air?
Speaker 2: Okay, it's like it's illegal to shoot a person in general,
Speaker 2: but it is not illegal to buy a gun. It
Speaker 2: is legal to buy these sorts of things, these contraptions
Speaker 2: and the components that compose those contraptions, but the way
Speaker 2: you use them determines the legality or the illegality and.
Speaker 4: These great architectors.
Speaker 2: Right, Yeah, it's a good comparison. I don't know why
Speaker 2: I say comparison, Like I don't speak this language. I'm
Speaker 2: still learning it.
Speaker 4: But no, it's one of those things that, like you know,
Speaker 4: has intended for law enforcement or what have you, and
Speaker 4: then it made its way to the public sector. I
Speaker 4: think it's technically a legal to use them for nefarious purposes,
Speaker 4: but it's a pretty gray area about that kind of stuff.
Speaker 2: Yeah, that's the right color for it. It's a great area.
Speaker 2: And these So these guys did get caught though, right Matt,
Speaker 2: despite only being sited on camera once like some sort
Speaker 2: of true crime cryptid. They did get popped.
Speaker 3: They did get caught. They're currently charged. So I guess
Speaker 3: this stuff is they allegedly did all these things. They
Speaker 3: haven't gone through the whole process, right, but they did
Speaker 3: get caught. There was one other thing. This was a
Speaker 3: sophisticated group of folks doing this because they also never
Speaker 3: brought cell phones with them when they were, you know,
Speaker 3: casing a joint or going into a place. They were
Speaker 3: very careful with their signals intelligence. Basically they almost wouldn't
Speaker 3: have gotten caught, probably just because they really were moving
Speaker 3: pretty effectively in the shadows, I think, unless there were
Speaker 3: some kind of sting or something like that. But hey,
Speaker 3: this is a weird one. They got caught. That's good.
Speaker 3: I don't know how you really protect yourself against that
Speaker 3: stuff unless I don't know, you just super upgrade your
Speaker 3: security systems and think about all the potential holes and
Speaker 3: then go crazy and paranoid and maybe don't do that.
Speaker 2: Spend your life unhappily anxious.
Speaker 3: Yeah, let's not do that. That's not a great idea.
Speaker 3: Take it from me somebody who has dealt with that
Speaker 3: and is always and is still dealing with that.
Speaker 2: All right, maybe we should get some coffee.
Speaker 3: Hey, there we go. Uh well, so here's another potential
Speaker 3: reason for that camera to be out there. By way
Speaker 3: of another story that was in The Guardian on May eleventh,
Speaker 3: titled US woman charged with concealing bleach in husband's coffee
Speaker 3: avoids jail. Okay, so here's one to get all our
Speaker 3: paranoias up. There was a US Navy serviceman who was
Speaker 3: stationed outside of the United States. He noticed that the
Speaker 3: coffee he was drinking in the mornings that he would
Speaker 3: brew it home, started tasting a little off, so he
Speaker 3: decided to weirdly enough to check it for pool chemicals
Speaker 3: like chlorine in those kinds of things. Sure, so he
Speaker 3: checked it and turns out, oh, there's bleach in there.
Speaker 3: So he thought, how did bleach get in my coffee? Like,
Speaker 3: checks out the coffee maker. Oh yeah, the water in
Speaker 3: there tastes real funny, cleans it out, puts new water in,
Speaker 3: and then all of a sudden, it tastes weird again.
Speaker 3: So he sets up a hidden camera in his kitchen
Speaker 3: and he watches his spouse put something into the coffee
Speaker 3: maker's water holder, right in the back of the coffee maker,
Speaker 3: and he's like, huh, I wonder what that was. That
Speaker 3: was really weird. So then he waits until they move
Speaker 3: back to the United States. He just by the way,
Speaker 3: he pretends like he drinks his coffee in the morning.
Speaker 3: From this point on, he doesn't actually drink it. He
Speaker 3: knows there's something in it, and his wife puts something
Speaker 3: in it. He's not sure what's going on, so he
Speaker 3: waits till he get back to the US. Then he
Speaker 3: sets up another camera in this new kitchen and he
Speaker 3: catches her taking bleach, putting it into container and then
Speaker 3: putting that the contents of that container into the coffee maker,
Speaker 3: and she had to go to jail.
Speaker 4: But wait, didn't her husband like argue in her favor
Speaker 4: against long term jail time And she got off with
Speaker 4: some like probation. And then they I think they're getting
Speaker 4: divorced or they just you know, but they're still living
Speaker 4: together with their kid. Yeah, why do you tell the
Speaker 4: kid mommy and daddy love each other very much, but
Speaker 4: mommy tried to kill daddy or was.
Speaker 2: It more of a Munchausen's by proxy situation?
Speaker 4: It's a good question this. Well, I mean, we obviously
Speaker 4: don't know any motive right in terms of abuse or
Speaker 4: anything like that.
Speaker 3: Right, But again, I guess what I'm saying is, I
Speaker 3: guess there are a lot of reasons to want to
Speaker 3: have cameras set up and to conceal those cameras so
Speaker 3: the people you're trying to capture don't know they're there.
Speaker 3: It's just a weird situation.
Speaker 4: Can you imagine the thought process?
Speaker 2: I like that there's a thematic point here too, because
Speaker 2: in general, now one must always assume one is being
Speaker 2: filmed or recorded in some way. It's just the safest
Speaker 2: assumption we're not trying to ruin anybody's day or anything
Speaker 2: like that.
Speaker 4: And I also don't think we're all necessarily proposing that
Speaker 4: we put round the clock hidden cameras in every aspect
Speaker 4: of our life to make sure no one's trying to poisonous.
Speaker 4: What I was gonna ask, though, Matt, was can you guys,
Speaker 4: are both of you can you imagine the thought process
Speaker 4: that would lead to this conclusion? And like the slew thing,
Speaker 4: and like, surely she's not Wait a minute, maybe she is.
Speaker 4: Oh god, she definitely is.
Speaker 2: You immediately test for pool chemistry.
Speaker 4: That's a weird one the context, you know, who like
Speaker 4: have you like we've.
Speaker 2: All had beat me here, doc, and thank you. We've
Speaker 2: all had the drinks at some point, right, you know,
Speaker 2: you get something from a fast food place that soda
Speaker 2: founds off. Who on earth? Like what leads you to
Speaker 2: this point in your life where you sip coffee it
Speaker 2: tastes off and you say, time to test for the
Speaker 2: pool chemicals.
Speaker 4: There's that bit in the pilot episode of twin Peaks
Speaker 4: where the guy goes there was a fish in the percolat.
Speaker 4: That's what it made me think. But guys, I mean
Speaker 4: I don't know if anyone's accidentally tasted a little bleach
Speaker 4: in their life. I haven't, but I know what it
Speaker 4: smells like, and we know that there's a lot of
Speaker 4: connection between taste and smell. I could imagine that he
Speaker 4: tested for pool chemicals because the coffee tasted a little bleachy.
Speaker 3: Well, yeah, and it was a taste that lingered for
Speaker 3: a long time. And again, like you just want to know, Well,
Speaker 3: is it just this batch of coffee that's tainted or
Speaker 3: is something wrong with my coffee maker? What the heck's
Speaker 3: going on? Maybe it was in my cup?
Speaker 4: Yeah, Well the gaslightingness of it all too, is the
Speaker 4: whole Like, am I insane? Like I totally cleaned out
Speaker 4: the coffee maker and now it's back. You know, at
Speaker 4: what point does he decide I better get to the
Speaker 4: bottom of this. This isn't in my head he had.
Speaker 4: You have wrestled with that for at least a minute.
Speaker 4: You know, is he.
Speaker 2: Testing everything for pool chemicals?
Speaker 3: Well, he had test strips, right, and his first thought was, oh, crap,
Speaker 3: something is getting into our water supply because they were
Speaker 3: stationed in Germany, and he was like, maybe there's just
Speaker 3: something I don't know about so we tested the water
Speaker 3: faucet and it was clean. So he's like, that's weird. Well,
Speaker 3: so he tested the water that was sitting there in
Speaker 3: the percolator and it was wrong.
Speaker 4: Hats off to this guy's deductive skills of reasoning and
Speaker 4: then you know, process of elimination. I would say he
Speaker 4: saved his own life. Yep.
Speaker 2: All, don't drink bleach, folks.
Speaker 3: No, good God, please don't do that.
Speaker 2: Not even diet bleach, about the calories. Just don't drink bleach.
Speaker 3: But what if it tastes like midnight cherry midnight zero. Yeah,
Speaker 3: it's my favorite too. It's right there. All right, we're gonna,
Speaker 3: I don't know, think about this stuff, y'all. We're gonna
Speaker 3: take a break and we'll be right back with more
Speaker 3: strange news.
Speaker 2: And we have returned a quick cavalcade of updates. Good
Speaker 2: news for a very specific demographic of people in Indiana.
Speaker 2: An Indiana judge has ruled that tacos and burritos qualify
Speaker 2: as sandwiches. So st yeah, yeah, yeah, the future. Who
Speaker 2: is this a judge in Indiana? A judge by profession,
Speaker 2: He's not like a judge Reinhold or whatever that actor's
Speaker 2: name is in Fort Wayne, Indiana. He ruled as part
Speaker 2: of a commercial development case that burritos and tacos count
Speaker 2: as sandwiches.
Speaker 4: I think this is out of his league, saying, you're lane, judge.
Speaker 2: This is the most conservative opinion I have heard.
Speaker 4: You have nol to do with you.
Speaker 3: Look, we've been in a.
Speaker 4: Matter of legality, it's a matter of common sense, dude.
Speaker 3: We've been asking for like an official ruling on this,
Speaker 3: and this judge gave it to us.
Speaker 2: He wrote, the proposed famous taco restaurant falls within the
Speaker 2: scope of general use approved in the original written commitment.
Speaker 4: Blah blah blah.
Speaker 2: Blah blah, YadA YadA YadA da da Uh. The original
Speaker 2: written commitment does not restrict potential restaurants to only American
Speaker 2: cuisine style sandwiches. So that's a big win for Big Taco.
Speaker 4: The court. Baby, all right, the justices, deway.
Speaker 2: All right, we'll text them. We'll text them because your
Speaker 2: voice should be heard. Also, if you own a yacht,
Speaker 2: bad news. The Orcas are out to get you. Just
Speaker 2: knocked another way out of the straight to Gibraltar, and uh,
Speaker 2: Team Orca.
Speaker 3: To be quite honest, wasn't a really big nice boat too,
Speaker 3: like a yacht.
Speaker 4: Or something that gets the distinction is on the big
Speaker 4: and or nice side. But this was a bigger yacht
Speaker 4: right above.
Speaker 2: Sorry, I know I saw like Pacino and Devil's Advocate,
Speaker 2: but yeah, Tea Morca. So also, we were talking about
Speaker 2: this a little bit off air, this last one before
Speaker 2: you get to our big piece. Shout out to our
Speaker 2: friend doctor Damian Patrick. Williams was speaking with him a
Speaker 2: little bit earlier. There is a flood of fake science
Speaker 2: hitting academic journals. We talked about this a little bit
Speaker 2: in our previous episode on the academic journal problems, the controversies,
Speaker 2: corruption and conspiracy surrounding that a lot of these journals
Speaker 2: now are closing down because there is an industry using chat,
Speaker 2: GPT and AI to plagiarize papers. They're called paper mills
Speaker 2: and they are so I told myself I wasn't going
Speaker 2: to curse you guys, but Doc, with great thanks, beat
Speaker 2: me again. They are so fucking dumb. They're not good.
Speaker 2: They do this thing where they ran they ran and
Speaker 2: synonyms through so instead of saying something like this study
Speaker 2: is about breast cancer, they say this study is about
Speaker 2: bosom peril.
Speaker 4: It's like the the like kind of bootleg Halloween costumes
Speaker 4: trying to avoid being sued for intellectual property, like for
Speaker 4: Wednesday atoms. It's spooky mid midweek QT.
Speaker 6: Stuff like that is true, It's very true. It's a thing,
Speaker 6: you know, it's a spirit and spooky midweek beauty. Really
Speaker 6: quickly though, I mean just to add, like these types
Speaker 6: of operations have been around as long as there have
Speaker 6: been papers, right, you know, with varying degrees of quality.
Speaker 6: You know, we certainly have heard stories of astute scam
Speaker 6: artists in schools, you know, doing this, going into business
Speaker 6: for themselves, and oftentimes they'll sell the same paper like
Speaker 6: three or four times.
Speaker 4: So this is just sort of an escalation of that, right.
Speaker 2: Yes, just as the Internet itself is an escalation of
Speaker 2: the gregarious nature of human beings. Here you go, another
Speaker 2: couple of examples of these synonym griffs. Fluid dynamics was
Speaker 2: called gooey stream.
Speaker 4: Oh that's yeah, Okay, weird.
Speaker 2: About that one. We're all so Artificial intelligence was also
Speaker 2: referred to as counterfeit consciousness. And I think this is
Speaker 2: a segue to our last story for tonight's program. Did
Speaker 2: you guys ever do online dating?
Speaker 4: Not? Oh? Yeah, my current relationship that I have been
Speaker 4: in for lo these three plus years at this point
Speaker 4: was the product of online dating. You know, I got
Speaker 4: divorced from someone that I did not meet in online dating,
Speaker 4: and then after that it just kind of became the
Speaker 4: way you do it in a bigger city where you
Speaker 4: maybe don't know as many people. So it made sense
Speaker 4: for me. And I've had good and bad experiences.
Speaker 2: Yeah, you know, Matt and I are maybe a little
Speaker 2: more old school. We meet people the old fast and way,
Speaker 2: you know, getting deported at customs.
Speaker 3: I just get into minor car accidents with people I
Speaker 3: find attractive.
Speaker 4: To meet cute.
Speaker 2: So obviously, no shade on online dating. It works very
Speaker 2: well for a lot of people, and it can be
Speaker 2: a difficult speed bump, right Like it's it's already difficult
Speaker 2: to meet folks, to find the person that you want
Speaker 2: to spend time or your life with. And what gets
Speaker 2: me with this is I was always startled by the
Speaker 2: idea of online dating. And I remember when some of
Speaker 2: my friend groups started dating online using the apps of whatever,
Speaker 2: and they eventually told me it was like a series
Speaker 2: of auditions. They felt like they were always auditioning, and
Speaker 2: they felt like they were auditioning for roles they didn't
Speaker 2: necessarily want, but it was Saturday and they had to
Speaker 2: do something. And this brings us to our final story,
Speaker 2: which includes artificial intelligence again fraudulent term as well as
Speaker 2: online dating. You guys. Recently, one of the high ups,
Speaker 2: one of the grand pubas of the dating enterprise Bumble,
Speaker 2: Whitney wolf Heard, said, we're going to take the awkwardness out.
Speaker 2: We are going to eliminate this small talk, eliminate the
Speaker 2: dead ends, the red herrings and so on. We are
Speaker 2: going to create an AI concierge for each user of Bumble,
Speaker 2: and that AI concierge will talk to another AI concierge
Speaker 2: to figure out what the vibe is where the actual
Speaker 2: people ever meet.
Speaker 3: Oh god, amazing, right, they just want to double their
Speaker 3: user base by creative users.
Speaker 4: Yeah, so wait a minute. So so the person it's
Speaker 4: sort of like a stand in, like a fill in,
Speaker 4: Like I don't I guess I don't quite understand the technology.
Speaker 3: She's saying. The AIS interact, right, that's what you're saying.
Speaker 2: Ben, Yeah, that's the idea.
Speaker 4: So, like, if your AI avatar interacts with another person's
Speaker 4: AI avatar that has built a profile based on your
Speaker 4: god knows how much data.
Speaker 2: So like an Ai Ben Bullen and an Ai Fran
Speaker 2: Dresser have a series of amazing conversations, and then later
Speaker 2: they notify the human Fran and the human Bed and
Speaker 2: they're like, hey, you guys both like the nanny, you
Speaker 2: should hang out.
Speaker 3: Yeah, But and then the Ais had been hooking up
Speaker 3: for like a week or two, and they're like, I
Speaker 3: guess we should tell them.
Speaker 4: It's doing all your for play chat for you? Is
Speaker 4: that basically the idea here? I'm sorry, I know that
Speaker 4: that's not necessarily the term, you know what I mean?
Speaker 4: Though the precursor getting to know you micro flair. Isn't
Speaker 4: that part of the fun of it? Though, I guess
Speaker 4: maybe there's some people that this is for. I don't.
Speaker 4: I don't know. You can usually tell within one or
Speaker 4: two quick exchanges whether someone gets you or is worth interacting.
Speaker 2: With you say it on air.
Speaker 4: Mean, yeah, I couldn't tell you. I don't have a
Speaker 4: specific one. It's been a long time at this point
Speaker 4: since I've done it. But I just try to be real.
Speaker 4: I don't remember exactly. I never have like a go
Speaker 4: to one. I'm sure I tried different ones out but
Speaker 4: I'm not a lying kind of guy. But when you do,
Speaker 4: there is something to be said though, of the fun
Speaker 4: and sort of spontaneity of engaging with someone who and
Speaker 4: realizing that you, guys have a vibe and that it's cool.
Speaker 4: Is this meant to you? Just get rid of that entirely.
Speaker 4: I'm a little confused. Who's asking for this seems more
Speaker 4: to benefit they than the individuals guys.
Speaker 3: I'm gonna go out there on a limb and say,
Speaker 3: I think this is for a very specific audience. There's
Speaker 3: a quote from one of the articles you shared back.
Speaker 3: Can I do you mind if I read one of
Speaker 3: these please? It says there is a world where your
Speaker 3: dating concierge could go on a date for you with
Speaker 3: other dating concierge. This is from What's what's the person's name?
Speaker 3: Somebody Wolf Witney, Whitney. Yeah, okay, And she says, and
Speaker 3: then you don't have to talk to six hundred people,
Speaker 3: and it'll scan all of the San Francisco area for
Speaker 3: you and say these are the three people you really
Speaker 3: ought to meet.
Speaker 4: Who.
Speaker 3: Look, I'm putting this out there. I've never used one
Speaker 3: of these dating apps, but people I've heard about some
Speaker 3: friends of mine that have been using them don't get
Speaker 3: six hundred matches or whatever. Every once in a while
Speaker 3: get a match and hope for the best.
Speaker 4: Oh that's me, baby, I'm not gonna lie. It is
Speaker 4: not like raining matches. And it's also dudes in a
Speaker 4: in a big way too. In general, they don't care
Speaker 4: as many matches as women. But women that I've heard
Speaker 4: it described as like just having hot dogs thrown at
Speaker 4: your face.
Speaker 2: Horror show. You know, it's it's terrible. I like the
Speaker 2: point that we're bringing up here because it goes back
Speaker 2: to the earlier idea in our episode about dead Internet theory,
Speaker 2: the old parable of Fantasia and The Sorcerer's Apprentice. The
Speaker 2: concept is to automate interactions, initial interactions, and like you said, Matt,
Speaker 2: that that quote from Whitney Wolf heard stands out because
Speaker 2: she's estimating that this AI concierge would talk to not four,
Speaker 2: not eleven, not forty two or forty three or whatever,
Speaker 2: but six hundred different AI representatives avatars. And then, as
Speaker 2: you said, Matt, find the three schlubs in San Francisco
Speaker 2: that might vibrate or.
Speaker 3: No, the three tech bros who are gonna you know,
Speaker 3: make seven figures or whatever. I don't know, man, I
Speaker 3: just don't. I don't like any of the whatever.
Speaker 4: I don't Again, though, I think the question of who
Speaker 4: is this for is still is largely answered by it's
Speaker 4: for the data brokers, you know. And then like if
Speaker 4: somebody thinks this is a good idea, they're like, you know,
Speaker 4: an individual, Yeah, take my data. I love this, have
Speaker 4: it all, give me the better chance at finding the
Speaker 4: right match. But I think unless we see some real,
Speaker 4: insanely believable success stories from this, this is all smoke
Speaker 4: and mirrors just to get more juice out of the
Speaker 4: meat bags that are you know, Internet users, the remaining
Speaker 4: ones the real.
Speaker 2: Indeed tempted to agree with you in that regard, because
Speaker 2: you can see the original conversation over on Bloomberg dot
Speaker 2: com wherein at a tech summit, this this executive is
Speaker 2: speaking about this and also to your point about data
Speaker 2: retechn or data aggregation. Uh, she says, wolf Heard says,
Speaker 2: this will also make you a better person. This AI
Speaker 2: concierge will help you learn about yourself. Can give merizzler.
Speaker 2: That's the medium plan, Yeah, skibby, And we also we
Speaker 2: got to say this too, uh, There are now, of course,
Speaker 2: multiple other digital things that are normalizing this sort of
Speaker 2: I guess you would call it cognitive cybernetic approach right
Speaker 2: to consciousness, and this, uh, this is perhaps most apparent
Speaker 2: in things like AI girlfriend apps, which I experimented with
Speaker 2: one because I had to find out uh back in college, right, yeah, college,
Speaker 2: in college, right.
Speaker 4: Experimenting college.
Speaker 2: So I think this is first off, they are aggressively mediocre,
Speaker 2: no offense. I'm sure I can imagine technology will improve
Speaker 2: at some point, but I do wonder whether humans are
Speaker 2: ready for this precipice upon which they stand. You know,
Speaker 2: I'm not I'm not necessarily thinking about us listening tonight
Speaker 2: as adults. I'm thinking about your kids, you know, your
Speaker 2: kids who grow up, like, is it that bad because
Speaker 2: a lot of people have imaginary friends growing up. Is
Speaker 2: this not just an imaginary friend that texts you back
Speaker 2: and ask you for your credit card number.
Speaker 3: I guess we'll all have to try it out.
Speaker 4: Ben.
Speaker 2: I don't think it's a good idea. We're not here
Speaker 2: to yuck anybody's yum. But it does feel like it
Speaker 2: does feel like an extension of what we're talking about previously,
Speaker 2: with the idea of the inner accelerating past the point
Speaker 2: of human intervention. Right. We ended that episode spoiler folks,
Speaker 2: with the idea that Earth could end up being a
Speaker 2: haunted house in some way, just a series of algorithms
Speaker 2: repeating and interacting and iterating with each other long after
Speaker 2: humanity had gone the way of the Dodo. However, in
Speaker 2: this case, what if you found out, let's spin it out.
Speaker 2: What if you found out years after the fact that
Speaker 2: you had an AI representative that you were not necessarily
Speaker 2: aware of, that had become in a close relationship, an
Speaker 2: intimate relationship with an AI representative of a person you
Speaker 2: have never met, and what if it's gone on for years?
Speaker 2: The question would you want to meet that person? Soon?
Speaker 4: As topiing for me to even wrap my head around. Guys.
Speaker 3: It reminds me of that Netflix movie from a long
Speaker 3: time ago called I Am Mother. Did you guys ever
Speaker 3: see Yeah? Yeah, I don't want to. Shouldn't spoil it
Speaker 3: for anybody if you haven't seen it. I enjoyed it
Speaker 3: a lot. It's just the wanting to meet that person,
Speaker 3: like that question, Ben, I think feels like that to me,
Speaker 3: like would you want to know the truth or really
Speaker 3: meet the person? Oh the original maybe.
Speaker 4: Oh, before we get out of here, one really important
Speaker 4: final question. If burrito is a sandwich? Is a rap
Speaker 4: also a sandwich? They're all wraps, sandwiches, NEETs.
Speaker 2: You would say there is no God to stop us.
Speaker 4: Jeez, I'm gonna lose sleep over.
Speaker 2: This also shout out to a past Ben who one
Speaker 2: time left a post it note in a freezer that said,
Speaker 2: puh plus a burrito, fa rito.
Speaker 4: Tell no one, I won't.
Speaker 2: These are gems we drop. We end tonight with a
Speaker 2: philosophical quandary similar to how we began. Right, No, we
Speaker 2: are asking ourselves what the role of humans will be
Speaker 2: in the future. We want to hear your thoughts, be
Speaker 2: you human or bought. We can't wait to interact with you.
Speaker 2: If we don't have a I don't think we have
Speaker 2: an AI powered interaction yet. You'll have to find us
Speaker 2: as ourselves online.
Speaker 3: Yes, but Ben, in Dallas, there's a restaurant that serves
Speaker 3: a fa rito. We gotta go.
Speaker 2: We've got a farrito gap.
Speaker 4: Seems like you'd be really wet. We are you gonna
Speaker 4: put you dip it in the broth? Maybe you dip
Speaker 4: it in the brath? I thought I in.
Speaker 3: No, dude, it just looks awesome.
Speaker 4: It looks that it's a good idea.
Speaker 3: It's an all right.
Speaker 4: Parallel thinking is really all. Parallel thinking is real. So
Speaker 4: why don't you let us know about any crazy inventions
Speaker 4: that you may have come up with out there in
Speaker 4: conspiracy real Islam. You can find it to the handle
Speaker 4: Conspiracy Stuff, where we exist on Facebook, on XFK, Twitter,
Speaker 4: and on YouTube, where we've got video content rolling out
Speaker 4: every single week, on Instagram and TikTok where conspiracy Stuff show.
Speaker 3: We have a phone number. You can call it one
Speaker 3: eight three three STDWYTK. When you call in, you've got
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