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Speaker 1: From UFOs to psychic powers and government conspiracies. History is

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Speaker 1: riddled with unexplained events. You can turn back now or

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Speaker 1: learn the stuff they don't want you to know. A

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Speaker 1: production of iHeartRadio.

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Speaker 2: Hello, welcome back to the show. My name is My

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Speaker 2: name is Nola.

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Speaker 3: They call me Ben. We're joyed as always with our

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Speaker 3: super producer Dylan the Tennessee pal Fagan. Most importantly, you

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Speaker 3: are here. That makes this the stuff they don't want

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Speaker 3: you to know. It is time for us to return

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Speaker 3: to our weekly listener mail program. We've been traveling all

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Speaker 3: around the place, and we have such adventures to show you.

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Speaker 3: By the place I mean, I guess the US, but

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Speaker 3: also the world. This is March twenty six, twenty twenty six.

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Speaker 3: We are excited. We're also going to be on the

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Speaker 3: road a little bit more often, so we can't wait

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Speaker 3: to share our own stories with you. But we're going

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Speaker 3: to hear from Meta on Moltz book. We're going to

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Speaker 3: explore some tunnels. I know, we're all excited about that.

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Speaker 3: But before we get to edny of that. Because we

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Speaker 3: left you for a few weeks without a dope, bega

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Speaker 3: to step two. Dylan, can you catch us up on

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Speaker 3: the roots at Vegas.

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Speaker 4: What's up.

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Speaker 5: I'm Professor Dorf, the most popular YouTuber in the world,

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Speaker 5: and I'm torpe Torpelson, chairman of the National Rudabaca League,

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Speaker 5: and we want to tell you about Rudebago Royals, the

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Speaker 5: new betting app for conspiracy theorists. Well Bigfoot win the

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Speaker 5: twenty twenty eight presidential election.

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Speaker 2: Well Mathman the league MVP for a third year in

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Speaker 2: a row. Well disclosure finally happen in twenty twenty six.

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Speaker 4: Diggitu yo.

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Speaker 6: If you can bet on all of this and more

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Speaker 6: on Rudebego Royals first five Rude big are on us,

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Speaker 6: So don't even think about it. Put all your hopes

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Speaker 6: and dreams in every last bit of your money into

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Speaker 6: pure speculation with odds that are never in your favor.

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Speaker 6: Rudabaka Royals the app that's everywhere TV, your phone, billboards,

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Speaker 6: computer's carrier, pitcheons, skywriting.

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Speaker 4: We're everywhere all the time.

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Speaker 2: You can't just.

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Speaker 3: I'm sold.

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Speaker 4: I'm speechless, is what I am.

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Speaker 3: Guys, step aside, Polymarket.

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Speaker 2: Do you create the music or do you find the music?

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Speaker 2: Dylan a little bit of both. Yeah, I tell ya.

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Speaker 5: We have a pretty great library you're at iHeart where

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Speaker 5: you can.

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Speaker 4: I'm pretty much anything. There's some good fun stuff on

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Speaker 4: that on that archive.

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Speaker 2: Well you're mixing it so well, whatever it is.

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Speaker 3: I'm laughing because that thing about our secret library is true,

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Speaker 3: and it's also a thing that we tell people as

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Speaker 3: like a party line talking point. Oh yeah, like, hey,

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Speaker 3: we can't really hire Tom Waits for this show because

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Speaker 3: he only gets paid and used fifty seven Chevy parts.

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Speaker 3: But we confide something. Oh, Dylan, you have outdone yourself. Man. Guys,

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Speaker 3: before we go any further, can we talk about video

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Speaker 3: games just a little bit, just real quick.

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Speaker 7: Yeah, Oh my gosh, yes, I just I'm on the

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Speaker 7: DLC for Control now finally, guys, I beat the regular

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Speaker 7: game part and now I'm on the DLC and boy,

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Speaker 7: oh boy, do I love.

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Speaker 4: Video games the whole time?

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Speaker 3: For Control Residence.

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Speaker 4: Yeah.

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Speaker 2: Are we going to talk about Marathon? The new Bungee title.

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Speaker 2: It I still haven't played yet. I do kind of

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Speaker 2: want to play it, but I don't know.

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Speaker 3: I feel like I got burned.

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Speaker 4: Bungeee is.

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Speaker 7: The shooting the shooty one, right, It's the big popular

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Speaker 7: shooting Xbox One.

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Speaker 2: Halo.

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Speaker 7: Halo's the one that's the clearly I see an x

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Speaker 7: Xbox guy. But I will say I almost bought an Xbox.

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Speaker 7: I wanted to play Starfield that bad and I didn't

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Speaker 7: do it. And I just found out that it's coming

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Speaker 7: out on ps five and fifteen days.

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Speaker 4: Thought it was already out, went ahead and clicked the button,

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Speaker 4: paid the money.

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Speaker 7: And realized it was a pre order because it said

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Speaker 7: time to auto download fifteen days.

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Speaker 4: I'm like, this must be huge.

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Speaker 3: Good friend, good friend of the show, Doc Holliday, who

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Speaker 3: still hangs out with us and kicks it. She persuaded

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Speaker 3: me to get an Xbox for Starfield, and I've just

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Speaker 3: been waiting for that DLC your continual updates and revisions

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Speaker 3: to kind of give it that cyberpunk moment where it

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Speaker 3: starts out about that great and then it becomes amazing.

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Speaker 3: I'm back on boulders Gate three. I'm doing a run

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Speaker 3: through that. It's still just a phenomenal time vampire that

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Speaker 3: game text for me.

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Speaker 4: Man, I got a squint. My eyeballs can't handle it.

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Speaker 2: My family's building a giant world in Minecraft right now

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Speaker 2: together as a collective, and it is one of my

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Speaker 2: favorite things to do.

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Speaker 4: The hammock and I don't know, man, there is in

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Speaker 4: Balder's Gate three. Oh my god, they got in Minecraft.

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Speaker 3: They got to be I got to stop bringing up

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Speaker 3: Balder's Gate three like it's a baby I just had.

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Speaker 4: By the way, and Balder's Gate three.

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Speaker 3: If everything mon aime, there's probably an enchanted hammock of

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Speaker 3: some sort that I just haven't found. But if you

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Speaker 3: love video games as much as we do, you probably

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Speaker 3: caught the recent news that we're still just mystified by

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Speaker 3: because one it's an echo of a really awesome, uh

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Speaker 3: largely online community, and two because it shows us some

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Speaker 3: terrifying implications for the future. So I suggest we pause

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Speaker 3: for a word from our sponsors, and then we check

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Speaker 3: in with our fellow conspiracy realist hoots.

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Speaker 4: Hot.

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Speaker 3: You right, it's your old pal Hutzefr with some fresh

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Speaker 3: new nightmare fuel for you this week. Have you seen

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Speaker 3: the news scientists have trained human brain cells on a

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Speaker 3: microchip to play Doom in a week. I have two

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Speaker 3: thoughts on this, one, says hutzefer. One is just imagine

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Speaker 3: a future where they equip attack drones with brain cells

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Speaker 3: just like this, where they're in effect, will be drones

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Speaker 3: that can kill with the efficiency of living soldiers gift

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Speaker 3: and occurs. Hutzefer. Second, you say, here's my other thought,

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Speaker 3: what if the cells have a human consciousness? Could you

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Speaker 3: imagine your existence and all you know of life only

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Speaker 3: exist in the Doom video game? And Hutsifer, you have

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Speaker 3: linked us to the news from New Scientists. That's one

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Speaker 3: of the pop side places putting it out, and you

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Speaker 3: also have sent us down an amazing rabbit hole. So, first, guys,

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Speaker 3: not to be too bubbled. I know all of us

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Speaker 3: know us. But what is Doom?

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Speaker 7: It's that the Timothy Chalamet vehicle about the spice and

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Speaker 7: the worms.

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Speaker 4: I'm sorry, no, that's not true. What is Doom?

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Speaker 3: So? Doom is a legendary first person shooter game. It's

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Speaker 3: it's pretty old now because it first came out in

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Speaker 3: nineteen ninety three, which is pretty ancient for video games.

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Speaker 7: Right, And it wasn't it. The precursor to it was Wolfenstein. Yes,

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Speaker 7: final was Hitler, and it was I think, yeah. It

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Speaker 7: really revolutionized a lot of like the use of like

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Speaker 7: sprites is like a kind of term for like different

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Speaker 7: textures and video games and being able to simulate three

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Speaker 7: D really well without like having insane processing power and

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Speaker 7: Doom definitely took that to the next level. ID software

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Speaker 7: a story onto themselves, really really fascinating game studio.

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Speaker 3: Yeah, and Doom has become a vast franchise. I am

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Speaker 3: guilty of reading several of the novels as well as

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Speaker 3: the comic books, and I think we remember, uh, there

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Speaker 3: was not one, but two Doom films that had you know,

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Speaker 3: been seen in theaters.

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Speaker 2: Yeah, that was I remember that was first person Shooter

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Speaker 2: stylized in the film the movie Film for You, which

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Speaker 2: was a really cool.

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Speaker 4: Concept with Dwayne the Rock Johnston.

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Speaker 2: And yes, that was one of the until you So

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Speaker 2: you watched it and you're like, oh, that's it looks

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Speaker 2: so much better than my crazy PC.

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Speaker 3: The District nine guy did a little bit better with

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Speaker 3: the first person POV thing hardcore Harry or Henry or

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Speaker 3: something like that. Do you guys remember that.

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Speaker 7: One looked fun because that was really leaning into the

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Speaker 7: aesthetics of those type of games. Ben, is this story

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Speaker 7: in any way related to all the talk of like

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Speaker 7: hackers figured out how.

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Speaker 4: To play Doom on a pregnancy test.

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Speaker 3: I would say it's a natural extensions. It's been around,

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Speaker 3: like there is an entire Okay, we'll introduce you to it. Folks.

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Speaker 3: There is an entire subreddit and online community, and I

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Speaker 3: imagine several discords dedicated to running Doom. It's relatively simple

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Speaker 3: to run at this point, running Doom on any imaginable

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Speaker 3: electronic device. So if you want to have a really

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Speaker 3: weird fun fifteen minutes or your afternoon, go to reddit

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Speaker 3: dot com board slash r board slash it runs Doom.

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Speaker 3: You're going to see You're going to see it running

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Speaker 3: on center consoles of cars, as Noel mentioned, pregnancy tests,

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Speaker 3: smart fridges, home assistant dashboards. You're going to see it

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Speaker 3: with Tesla, but the car is the controller for that

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Speaker 3: Doom Doom adaptation or emulation. You're going to see people

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Speaker 3: running it on office phones, like the old school office

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Speaker 3: phones we used to have.

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Speaker 4: Yeah, from Cisco, right, yeah, just so.

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Speaker 3: People even running it on Samsung in X one cameras.

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Speaker 3: For a long time, people have done this. They've even

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Speaker 3: run it inside other games like Roller Coaster Tycoo.

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Speaker 7: Well, and it's sick, especially the Samsung thing or like

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Speaker 7: the weird like this is totally the wrong equipment for this.

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Speaker 7: The textures are replaced by like weird pixelated kind of

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Speaker 7: silver almost like you're looking at the matrix, you know,

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Speaker 7: but it's white.

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Speaker 4: It's really it's very interesting.

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Speaker 2: Sorry, guys, I was just reminiscing in my mind about

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Speaker 2: how I got in trouble.

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Speaker 4: For playing Doom on a graph calculator.

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Speaker 2: No, but I found a way to get Quake. Another

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Speaker 2: first game came out a couple of years after Doom,

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Speaker 2: but putting it on some school computers at middle school

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Speaker 2: somewhere in Georgia.

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Speaker 7: Absolutely remember when they used to like you'd get those

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Speaker 7: on floppy discs or I'm sorry, maybe not floppy disk

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Speaker 7: but like three and a half diskets that you'd call them.

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Speaker 7: And I think one of the brilliant strokes of software

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Speaker 7: was that they made these demos like really free and available,

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Speaker 7: and that's what caused the word of mouth to go nuts.

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Speaker 7: Quake was also one of the first soundtracking gigs for

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Speaker 7: Trent Reznor of nine right, isn't it.

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Speaker 3: Yeah, So we know that humanity is increasingly mainstreaming video games,

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Speaker 3: especially with the ubiquity of mobile devices and things for

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Speaker 3: a while becoming a little bit more affordable. Obviously not

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Speaker 3: now shout out to the ram Wars, but this natural

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Speaker 3: extension of seeing what we can put on a weird

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Speaker 3: electronic device for doom. There was always a community interested

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Speaker 3: in this since the late nineteen nineties, but we see

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Speaker 3: other companies have been more focused on using human neurons

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Speaker 3: to power computer chips if we go to twenty twenty one,

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Speaker 3: As new scientists mentions in this excellent article by Alex Wilkins,

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Speaker 3: there was a company that figured out how to use

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Speaker 3: neuron powered computer chips to play pong, Cortical Labs out

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Speaker 3: of Australia, out of oz and their chips that they

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Speaker 3: created were these clumps of more than eight hundred thousand

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Speaker 3: living brain cells that were grown atop these micro electrode

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Speaker 3: arrays such that they could send and receive electrical signals.

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Speaker 3: Brain cells already communicate in that manner, right, so we're

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Speaker 3: kind of just adding weird new slice ges to the

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Speaker 3: communication sandwich. And the researchers, at least in Australia fully

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Speaker 3: trained these chips such that they could do the very

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Speaker 3: simple motion of controlling the paddles on either side of

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Speaker 3: the screen. Now, at first they weren't that great at it, right,

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Speaker 3: because we all know the real art of pong is

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Speaker 3: to predict where the little dot is going. To go next, right,

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Speaker 3: So they had to teach them to move the paddles first,

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Speaker 3: and then they had to say, also, there's this thing.

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Speaker 3: You got to chase this.

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Speaker 2: One well, and then it's so fascinating that you could

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Speaker 2: take that which is what literally a couple of pixels

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Speaker 2: worth of represented data. If you think about that dot

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Speaker 2: that they once they got to that step. Now you're

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Speaker 2: converting that into a full screen of different colors and

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Speaker 2: moving like you're supposed to find depth somehow in that

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Speaker 2: data and then also aim with your gun.

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Speaker 3: Right right, And at some point you have to say,

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Speaker 3: I wish I had more brain cells as a microchip.

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Speaker 3: There is a pattern, there is a trend, and you

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Speaker 3: made a phenomenal point about the leap in technology and

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Speaker 3: dare we say cognition here because Cortical Labs developed an interface.

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Speaker 3: This news was breaking just last month. Cortical Labs developed

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Speaker 3: this interface, this ux kind of thing that made it

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Speaker 3: easy for independent developers to use Python, the programming language,

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Speaker 3: to program these chips with human brain cells. An independent

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Speaker 3: developer named Sean Cole used Python to teach the chips

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Speaker 3: to play Doom, and it took them about one week,

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Speaker 3: which is crazy because learning teaching pong took years of expertise,

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Speaker 3: years of blood, sweat and tears, and I'm sure a

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Speaker 3: lot of brain cells died on the drawing board. But

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Speaker 3: Brett Kagan of Cortical Labs confirms this, says, Look, we're amazing.

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Speaker 3: We're not mad at Sean Cole. We're amazed that someone

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Speaker 3: working independently could do in a matter of days something

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Speaker 3: that was far too complex for us at first. We're

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Speaker 3: making Gangbusters progress. He says. It's the accessibility and the

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Speaker 3: flexibility that makes this exciting.

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Speaker 2: Uh Oh, I have a question, ben yeh.

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Speaker 8: Do?

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Speaker 2: And I'm serious about this, guys. Do we think Pong

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Speaker 2: might be more difficult than doom when it comes to

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Speaker 2: achieving the goals within that game and getting it right?

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Speaker 2: When I think about the margin of.

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Speaker 3: Predicting the pass past, yeah, yeah.

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Speaker 2: And actually how how small that dot is as the

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Speaker 2: pong ball right, and then how small your paddle is

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Speaker 2: versus and how.

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Speaker 4: Far you know.

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Speaker 3: I guess it depends too on because pong is each

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Speaker 3: iteration is limited to a set number of points until

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Speaker 3: you reach a win. But so therefore it would depend

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Speaker 3: upon how long the chip plays do because after a

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Speaker 3: certain point You're going to have to do resource management right,

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Speaker 3: You're going to have to make decisions about what kind

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Speaker 3: of weapon or what kind of paddle to use right

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Speaker 3: for the enemy ball. So I would say maybe at

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Speaker 3: the first level of Doom, it's comparable to Pong if

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Speaker 3: you just get past you know, the coloring and just

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Speaker 3: think about how things move around. But then as you progress,

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Speaker 3: it has to become more difficult.

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Speaker 2: I want to believe it. I was just watching a

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Speaker 2: video on social media about games that we grew up with,

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Speaker 2: and how like the difficult level of early games from

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Speaker 2: you know there were in late seventies eighty is in

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Speaker 2: the nineties.

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Speaker 3: You can't make it pretty, so let's make it hard.

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Speaker 2: Well yeah, well, just how little handholding there was in

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Speaker 2: most of the gaming that we came up with, and

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Speaker 2: then how that's changed so much. You know, if you

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Speaker 2: imagine mission, you get and oh there's a sparkly little

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Speaker 2: line that takes you right over there, there's a way point.

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Speaker 2: Oh that's what you need to do. Oh it actually

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Speaker 2: says text on the screen of what I need to

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Speaker 2: get done.

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Speaker 3: You know, whereas in games like Souls, like games there's

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Speaker 3: there's this beautiful, brutal idea of there is one thing

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Speaker 3: that is really cool. One guy has it and you

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Speaker 3: somewhere somewhere, and you're not going to find him, but

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Speaker 3: we will let you find a little scroll that tells

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Speaker 3: you he's out there. H oh.

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Speaker 2: And also there's no map, so good luck memorizing where

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Speaker 2: everything is.

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Speaker 3: There's no map or like in control since Nola, you're

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Speaker 3: red onto that now the map changes, you know what

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Speaker 3: I mean? Good luck? And so they all believe that,

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Speaker 3: all the boffins here believe that Doom is representative of

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Speaker 3: a huge step forward. But the very careful to caveat

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Speaker 3: we cannot compare these chips to human brains because they say, yes,

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Speaker 3: there's biological material, but what it's being used as is

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Speaker 3: a material that can process information ways that we cannot

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Speaker 3: recreate in silicon. That's a little I feel like that's

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Speaker 3: going to increasingly become a gray area divide Because to

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Speaker 3: your questions, Hootsfer, this does seem we're on board with

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Speaker 3: you man in the same veins the two concerns you

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Speaker 3: raise wrote back to you regarding does it run doom

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Speaker 3: and then also ask your permission to air this on

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Speaker 3: listener mail. I think the the first concern is just

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Speaker 3: a matter of trend. Right. If research like this continues,

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Speaker 3: then naturally we'll find other possible use cases for microchips

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Speaker 3: that use human or biological matter.

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Speaker 2: Very soon, we're gonna have let's say, a police officer

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Speaker 2: who gets brutally beaten and shot a whole bunch of times,

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Speaker 2: and then they have their just most of their head

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Speaker 2: placed into a robot and then some kind.

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Speaker 3: Of robots cop.

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Speaker 2: I think that's whe're it.

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Speaker 7: There's got to be a better name for it, sent popa.

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Speaker 3: So we'll workshop that one. I think we're onto something,

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Speaker 3: and we're right in the zeitgeist. Uh, but yeah, this

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Speaker 3: could easily be used in theory to power decision making machines, right,

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Speaker 3: because that's all played in a video. Aim is it's

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Speaker 3: making a series of decisions. And we could say, we

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Speaker 3: could say that the primary concern, the secondary one that

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Speaker 3: you bring up to us here at Who'suffer, is the

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Speaker 3: idea of consciousness. At what aggregation of brain cells do

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Speaker 3: we arrive at physical structure and hence consciousness And we

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Speaker 3: don't This civilization doesn't know how to define consciousness yet,

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Speaker 3: Like really as not the best ideas.

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Speaker 2: Oh we this reminds me there. We have to do

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Speaker 2: an episode on these wild concepts that we've been seeing.

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Speaker 2: I think we may have had a little discussion off

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Speaker 2: Mike about the heart, the human heart, and how it

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Speaker 2: actually functions, and how it's this like field of energy,

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Speaker 2: like electromagnetic field of energy that is actually the thing

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Speaker 2: potentially that is driving our consciousness rather than our processor.

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Speaker 2: It's crazy out their theories.

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Speaker 3: Right down, write it down. And we went a little

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Speaker 3: bit long on this one because we love video games

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Speaker 3: just so much, and honestly because we missed each other

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Speaker 3: and we missed you all. I'd like to end this

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Speaker 3: part of our weekly listener mail program by recommending everybody

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Speaker 3: go to Cortical Labs on YouTube to get a look

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Speaker 3: at living human brain cells plane doom directly right for

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Speaker 3: the first time via these chips. In closing, we want

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Speaker 3: to hear your thoughts. What would you put What video

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Speaker 3: game do you think brain powered micro chip should play?

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Speaker 3: What's the game that you want in your head at

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Speaker 3: all times?

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Speaker 9: And you defense great, very good for anxiety, right you

360
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Speaker 9: su my battleship and and of course you can hit

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Speaker 9: us with those of conspiracy at iHeartRadio dot com.

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Speaker 3: We're gonna pause for we'd from our sponsors and we'll

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Speaker 3: be back with more listener mail.

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Speaker 2: And we've returned. Guys. I don't know what I was thinking.

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Speaker 2: It's called missile Command, not missile defense.

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Speaker 4: You maniac.

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Speaker 3: Well, I know, we just made a new gritty extension

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Speaker 3: of the franchise, you know what I mean.

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Speaker 7: Another candidate from Brain micro Chip Gaming mine sweeping soon.

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Speaker 3: Oh yeah, yeah, yeah, I play it too often. We

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Speaker 3: were talking about that during the break. I play. I

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Speaker 3: play it first thing every morning and like last thing

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Speaker 3: at night.

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Speaker 7: I just like playing with my unexploded mine that I

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Speaker 7: keep it, guys.

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Speaker 3: Groom, because otherwise I'm not sweeping.

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Speaker 4: Thank you.

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Speaker 2: Hey. My son just got his first computer and he

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Speaker 2: loaded it up and clicked on the little games folder

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Speaker 2: that you get with those, and I saw a mind sweeper.

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Speaker 10: And oh my god, I know, I love and I

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Speaker 10: got to teach him the way and we'll see if

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Speaker 10: he actually is any good at it.

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Speaker 2: Well he hasn't played.

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Speaker 3: I mean, you can be less bad at mine sweeper.

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Speaker 7: But anyhow, reversing a land mindfield it requires just as

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Speaker 7: much luck as it does skill.

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Speaker 4: I think we can all argue.

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Speaker 3: And real mindfields don't have brightly numbered grids and smiley faces, yes,

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Speaker 3: but there are I do want to point out I

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Speaker 3: don't talk about volunteering or personal stuff too often on

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Speaker 3: the show. If you would like to help real life

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Speaker 3: people in land mind situations, you can donate to some

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Speaker 3: awesome charities, one of which teaches rats in laos to

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Speaker 3: identify minds and they're saving lives.

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Speaker 7: And can I also just add really quickly, I saw

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Speaker 7: the most incredible film over the weekend called Surrat and

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Speaker 7: it is about traveling techno music rave festivals in the

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Speaker 7: Moroccan desert in war zone and mine areas, and it

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Speaker 7: is harrowing and phenomenal and will break your heart. But

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Speaker 7: I highly recommend anybody check it out that wants like

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Speaker 7: an intense time at the movies.

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Speaker 2: Amazing. With all of that said, let us jump to

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Speaker 2: the phone lines. We're going to hear a message from

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Speaker 2: mister Noah. Noah calls in all the time. You know

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Speaker 2: who you are, Noah, and he has sent us a

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Speaker 2: little message about his hometown that we find fascinating. This

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00:24:30,359 --> 00:24:32,720
Speaker 2: is in reference, by the way, way back to our

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Speaker 2: underground explorations that we've been doing. So let's check out

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Speaker 2: what's going on beneath a little town in Montana. Here

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Speaker 2: we go.

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Speaker 8: Well by now you maybe noticing a pattern of calls

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Speaker 8: from people about tunnels, and I'm going to be one

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Speaker 8: of those. There are a lot of tunnels under Missoula, Montana,

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Speaker 8: where I happen to live. I happen to work in

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Speaker 8: an auto shop downtown that, for instance, used to connect

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Speaker 8: to him. And the thing about the tunnels here is

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Speaker 8: that not only was there a bunch of theme tunnels

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Speaker 8: that went from a central heating facility around town, like

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Speaker 8: to various locations like pretty far a couple miles, and

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Speaker 8: there were a network of those, and a network of

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Speaker 8: tunnels downtown that were the original old sidewalks and building fronts,

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Speaker 8: and then they just built another level of street sidewalk

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Speaker 8: and everything over top, and then there were glass bricks

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Speaker 8: in the old sidewalks, which I remember as a kid.

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Speaker 8: They still existed around here when I was like, you know,

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Speaker 8: eight or nine, when I was originally moved to Missoula.

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Speaker 8: You know, you could see the original building fronts still

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Speaker 8: down there, and there's quite a bit of evidence of

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Speaker 8: that around and I have been in some of those tunnels,

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Speaker 8: but I mean those used to go for instance, from

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Speaker 8: a building that I used to be in called the fire.

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Speaker 3: Stone Building, which is now a hotel.

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Speaker 8: The Firestone Building had drive in service or getting your

435
00:26:04,080 --> 00:26:06,720
Speaker 8: tire service, and what you would do is, if you

436
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Speaker 8: were a well to do sort of guy who might

437
00:26:09,000 --> 00:26:12,000
Speaker 8: do this stuff, you would go park your vehicle down there,

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Speaker 8: and then you would access the tunnels that went to

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Speaker 8: the brothels and the opium dens and all the stuff there.

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Speaker 8: And apparently even a Missoula mayor was killed in one

441
00:26:23,920 --> 00:26:28,720
Speaker 8: of those tunnels, probably doing just that. You could access

442
00:26:28,800 --> 00:26:33,160
Speaker 8: the elks and go use the gun range over there

443
00:26:33,440 --> 00:26:36,280
Speaker 8: and literally come up, get back in your car and

444
00:26:36,359 --> 00:26:39,479
Speaker 8: drive away. Actually, not even a block away from there

445
00:26:39,800 --> 00:26:44,800
Speaker 8: is the second ever Carpenter's Union Hall second whenever it

446
00:26:45,040 --> 00:26:48,080
Speaker 8: was in Missoula, and it's just kind of a little

447
00:26:48,080 --> 00:26:52,000
Speaker 8: ways away from Butte. That's my opinion, because back in

448
00:26:52,040 --> 00:26:54,280
Speaker 8: the day when you heard about big cities, it was

449
00:26:54,480 --> 00:27:00,320
Speaker 8: New York, Chicago, Butte, Seattle, you know, not necessar early

450
00:27:00,320 --> 00:27:02,359
Speaker 8: in that order, view was way up there. And of

451
00:27:02,359 --> 00:27:05,840
Speaker 8: course the tunnel systems in Butte were crazy, just not

452
00:27:05,880 --> 00:27:07,920
Speaker 8: even getting into it, but we've got a history of

453
00:27:07,920 --> 00:27:11,160
Speaker 8: tunnels around here, and those tunnels and the way that

454
00:27:11,200 --> 00:27:16,520
Speaker 8: people use them was very much like you know, it

455
00:27:16,560 --> 00:27:18,240
Speaker 8: was all the things that you could think of that

456
00:27:18,280 --> 00:27:22,960
Speaker 8: you would use tunnels for, nice reasons, practical reasons, nasty reasons,

457
00:27:23,400 --> 00:27:27,119
Speaker 8: subversive reasons. So I like the topic. I'm just starting

458
00:27:27,160 --> 00:27:30,520
Speaker 8: to listen to the episode and I'm looking forward to

459
00:27:30,520 --> 00:27:32,520
Speaker 8: getting into it. But I just as soon as you

460
00:27:32,560 --> 00:27:34,640
Speaker 8: talked about that, I was like, well, I'm pretty much

461
00:27:34,640 --> 00:27:37,399
Speaker 8: standing over tunnels right now. Heck, I can go across

462
00:27:37,440 --> 00:27:40,280
Speaker 8: the street and go into an underground parking garage that

463
00:27:40,359 --> 00:27:43,040
Speaker 8: I have access to over there that used to connect

464
00:27:43,040 --> 00:27:45,800
Speaker 8: into tunnels, and you can see where the old tunnel

465
00:27:45,960 --> 00:27:48,919
Speaker 8: locations are where you used to be able to go

466
00:27:48,960 --> 00:27:52,600
Speaker 8: through portals, you know, like the old doors that they've

467
00:27:52,720 --> 00:27:55,480
Speaker 8: bricked up. You can still see the door frames.

468
00:27:55,960 --> 00:27:56,840
Speaker 3: It's a little creepy.

469
00:27:57,200 --> 00:28:05,320
Speaker 8: Makes me kind of wonder if there's Aman around anyway.

470
00:28:07,680 --> 00:28:11,560
Speaker 2: Okay, there you go. No, I like that tunnels make

471
00:28:11,600 --> 00:28:16,280
Speaker 2: you think of a batman. I just I think of

472
00:28:16,320 --> 00:28:19,040
Speaker 2: all the nefarious things that you mentioned there, Noah, that

473
00:28:19,320 --> 00:28:22,480
Speaker 2: are and you're saying them, you know, into as a

474
00:28:22,520 --> 00:28:27,000
Speaker 2: message to us. So it sounds there are people listening.

475
00:28:27,040 --> 00:28:29,600
Speaker 2: May just hear it as opinion, but there is a

476
00:28:29,600 --> 00:28:31,680
Speaker 2: ton of stuff we found that backs up everything Noah

477
00:28:31,760 --> 00:28:36,120
Speaker 2: is talking about in that message about the tunnels beneath Missoula,

478
00:28:36,280 --> 00:28:38,680
Speaker 2: all their different you know, the range of use and

479
00:28:38,800 --> 00:28:43,920
Speaker 2: the types of tunnels and the history of them. Just

480
00:28:43,960 --> 00:28:46,280
Speaker 2: want to say thanks Noah for for hipping us to that,

481
00:28:46,400 --> 00:28:49,640
Speaker 2: because we found some cool stuff from gosh. Back in

482
00:28:49,720 --> 00:28:55,920
Speaker 2: twenty thirteen, The Montana Cayman talking about that is known

483
00:28:55,960 --> 00:28:59,560
Speaker 2: as the last best college News. By the way, Okay,

484
00:29:00,000 --> 00:29:02,760
Speaker 2: you can find an article there titled Seeking the Truth

485
00:29:02,960 --> 00:29:06,120
Speaker 2: Beneath Missoula. A lot of what's in that article is

486
00:29:06,160 --> 00:29:08,840
Speaker 2: based on the work of Nicky Manning, who at the

487
00:29:08,880 --> 00:29:12,800
Speaker 2: time in twenty thirteen was a graduate student looking into

488
00:29:12,880 --> 00:29:16,960
Speaker 2: Underground Missoula, who then went on to write basically the

489
00:29:17,080 --> 00:29:22,320
Speaker 2: book called Historic Underground Missoula, which is incredible to see

490
00:29:22,920 --> 00:29:25,120
Speaker 2: came out two years after she was doing that work

491
00:29:25,360 --> 00:29:28,560
Speaker 2: that's represented in the article there from The Montana Cayman.

492
00:29:28,920 --> 00:29:30,960
Speaker 2: It's a fun rabbit hole to go down. We recommend

493
00:29:30,960 --> 00:29:32,640
Speaker 2: you do it on your own because we won't have

494
00:29:32,680 --> 00:29:34,640
Speaker 2: time today to talk about all of it.

495
00:29:35,280 --> 00:29:37,280
Speaker 4: But it does.

496
00:29:38,760 --> 00:29:42,600
Speaker 2: Go back directly to the Florence hotel, which is the

497
00:29:42,640 --> 00:29:45,320
Speaker 2: hotel that was built in place of that. I think

498
00:29:45,360 --> 00:29:49,240
Speaker 2: it's the Firestone building that you're mentioning there, built by

499
00:29:49,280 --> 00:29:53,320
Speaker 2: the Firestone family, a Harvey Samuel Firestone. We know a

500
00:29:53,320 --> 00:29:57,640
Speaker 2: lot about that family, as we have explored very wealthy

501
00:29:57,680 --> 00:30:00,720
Speaker 2: families over all the years here stuff. They'll want you

502
00:30:00,800 --> 00:30:04,800
Speaker 2: to know that's one of them, a Firestone family. And

503
00:30:04,840 --> 00:30:10,720
Speaker 2: then just thinking about having access to like take your

504
00:30:10,760 --> 00:30:14,120
Speaker 2: car in, guys, I imagine this with me. You take

505
00:30:14,160 --> 00:30:17,040
Speaker 2: your car in to get serviced, and there's a secret

506
00:30:17,160 --> 00:30:19,840
Speaker 2: door that only you, the owners, and a few other

507
00:30:19,880 --> 00:30:22,960
Speaker 2: people know about. You go in there, and then you

508
00:30:23,160 --> 00:30:27,520
Speaker 2: just have access to all kinds of vices and.

509
00:30:27,920 --> 00:30:34,120
Speaker 3: Shops, an underground network. You know, it's strange too, because,

510
00:30:34,720 --> 00:30:38,240
Speaker 3: first off, Noah, I would say, I'm a longtime listener

511
00:30:38,240 --> 00:30:43,000
Speaker 3: of yours. I've got to say, joy enjoy this because,

512
00:30:43,040 --> 00:30:47,320
Speaker 3: as Matt said, we were able to find things that confirm,

513
00:30:47,800 --> 00:30:52,800
Speaker 3: if not one hundred, not counting Batman, the vast majority

514
00:30:53,000 --> 00:30:56,640
Speaker 3: of the stories you have shared now they're not maybe

515
00:30:56,640 --> 00:31:01,840
Speaker 3: they're not necessarily unique to this town in particular, but

516
00:31:01,880 --> 00:31:05,720
Speaker 3: if anything, to me, that's more exciting because you're right, man,

517
00:31:05,760 --> 00:31:09,239
Speaker 3: you called it. We had so many people writing in

518
00:31:09,720 --> 00:31:17,080
Speaker 3: to share stories of similar underground networks or subterranean walkways

519
00:31:17,120 --> 00:31:23,840
Speaker 3: transit pathways throughout cities in the United States and abroad. No, Matt,

520
00:31:23,920 --> 00:31:26,280
Speaker 3: as far as I could tell, this is now an

521
00:31:26,320 --> 00:31:30,200
Speaker 3: open secret right in this area of Montana. Everybody knows.

522
00:31:30,440 --> 00:31:32,680
Speaker 2: Yeah, it's well known. And it was actually the University

523
00:31:32,720 --> 00:31:37,080
Speaker 2: of Montana and archaeology class in particular that Nicki Manning

524
00:31:37,160 --> 00:31:39,920
Speaker 2: was a part of. As they were exploring the Florence

525
00:31:39,960 --> 00:31:42,640
Speaker 2: Hotel and then going through the tunnels and attempting to

526
00:31:42,680 --> 00:31:46,840
Speaker 2: find basically places where these tunnels led to. So where

527
00:31:46,880 --> 00:31:49,600
Speaker 2: are the other secret doors? They go down into the tunnels,

528
00:31:49,760 --> 00:31:54,640
Speaker 2: they found entrances beneath a place called top Hat, the

529
00:31:54,680 --> 00:31:59,360
Speaker 2: Hammond Arcade, the Missoula Mercantile, and a little something that,

530
00:32:00,360 --> 00:32:04,560
Speaker 2: guys makes me think about a scandal slash conspiracy theory,

531
00:32:04,920 --> 00:32:08,120
Speaker 2: the Mackenzie River Pizza Company had a secret tunnel into

532
00:32:08,200 --> 00:32:08,880
Speaker 2: the underground.

533
00:32:09,120 --> 00:32:12,640
Speaker 3: I see there's shades of quan on all. Right. Well, Matt,

534
00:32:12,680 --> 00:32:14,000
Speaker 3: when do we go into Missoula?

535
00:32:14,600 --> 00:32:18,600
Speaker 2: Oh, dude, we need to and we can take a tour. Unfortunately,

536
00:32:18,760 --> 00:32:21,600
Speaker 2: everything I'm seeing and you can find some videos now

537
00:32:22,200 --> 00:32:25,360
Speaker 2: of underground tunnel searching there that are you know, their

538
00:32:25,360 --> 00:32:31,040
Speaker 2: official tours that you can do. A ton of the portals,

539
00:32:31,080 --> 00:32:33,440
Speaker 2: the entryways where there would have been a door at

540
00:32:33,480 --> 00:32:37,400
Speaker 2: one point, it's all just breakeed up. I think this

541
00:32:37,480 --> 00:32:38,160
Speaker 2: is what we need to do.

542
00:32:38,200 --> 00:32:38,760
Speaker 4: Guys.

543
00:32:39,280 --> 00:32:41,840
Speaker 2: We need to get some kind of permit with the

544
00:32:41,840 --> 00:32:46,000
Speaker 2: City of Missoula. We need to go in with cameras

545
00:32:46,040 --> 00:32:50,760
Speaker 2: and microphones and a bunch of I don't know, sledgehammers

546
00:32:51,120 --> 00:32:55,080
Speaker 2: and just break open these things, explore every nook and

547
00:32:55,160 --> 00:32:56,840
Speaker 2: cranny we can possibly find.

548
00:32:56,840 --> 00:32:58,240
Speaker 7: That's what I'm saying, man, I only want to go

549
00:32:58,240 --> 00:33:01,600
Speaker 7: on the unauthorized tour do some urban splunking together.

550
00:33:01,680 --> 00:33:01,880
Speaker 8: You know.

551
00:33:02,320 --> 00:33:06,040
Speaker 2: Well, but let's get authorized for some kind of I

552
00:33:06,040 --> 00:33:08,320
Speaker 2: don't know, historical finding mission.

553
00:33:08,600 --> 00:33:13,680
Speaker 3: I'll make some calls at Emory. We've got urban urban

554
00:33:13,760 --> 00:33:17,640
Speaker 3: architecture historians over there who will be glad to give

555
00:33:17,720 --> 00:33:20,000
Speaker 3: us a co side. Hey, if you're a college professor

556
00:33:20,040 --> 00:33:22,600
Speaker 3: or student, we like hanging out with you. We like

557
00:33:22,720 --> 00:33:25,560
Speaker 3: learning as much as possible, So hit us up if

558
00:33:25,640 --> 00:33:28,600
Speaker 3: you happen to need a weird mission, especially if we

559
00:33:28,640 --> 00:33:33,360
Speaker 3: could convince accounting dude, yeah, or your accounting department preferably.

560
00:33:33,560 --> 00:33:36,280
Speaker 2: Oh my god, let's get the Smithsonian and Nicholas Cage

561
00:33:36,280 --> 00:33:38,400
Speaker 2: involved as well. I think we're onto something.

562
00:33:38,520 --> 00:33:39,920
Speaker 3: I think we're cooking.

563
00:33:41,600 --> 00:33:44,680
Speaker 2: If you want to learn more about this. And this

564
00:33:44,760 --> 00:33:46,760
Speaker 2: is kind of a weird one too, because I was

565
00:33:46,800 --> 00:33:50,720
Speaker 2: looking at this article just the other day. We're recording

566
00:33:50,720 --> 00:33:55,760
Speaker 2: on March twenty third, twenty twenty six, distinctly Montana dot

567
00:33:55,760 --> 00:34:00,760
Speaker 2: com some writing by Joe Shelton. It's time folklore and

568
00:34:00,800 --> 00:34:04,480
Speaker 2: mystery underneath Montana Streets. You cannot find it anymore. It

569
00:34:04,480 --> 00:34:07,479
Speaker 2: says the server is no longer active all of a sudden,

570
00:34:07,560 --> 00:34:11,000
Speaker 2: but you can find it on the wayback machine. So

571
00:34:11,120 --> 00:34:14,160
Speaker 2: if you find the article URL and it says you

572
00:34:14,160 --> 00:34:16,839
Speaker 2: can't get there, just go to archive dot org type

573
00:34:16,840 --> 00:34:18,680
Speaker 2: it in the wayback machine and you will find it.

574
00:34:19,239 --> 00:34:23,120
Speaker 2: There is a ton of detail in here about the

575
00:34:23,239 --> 00:34:27,880
Speaker 2: Law and Order League of Chicago in nineteen sixteen, and

576
00:34:27,920 --> 00:34:31,000
Speaker 2: it goes just super deep into the nineteen twenties and

577
00:34:31,000 --> 00:34:37,400
Speaker 2: thirties chambers of commerce, underground malls, and all kinds of

578
00:34:37,480 --> 00:34:41,440
Speaker 2: opium dens that were known at the time, and a

579
00:34:41,480 --> 00:34:44,080
Speaker 2: known brothel as well. It just was known. It's the

580
00:34:44,200 --> 00:34:47,080
Speaker 2: underground brothel we're.

581
00:34:47,040 --> 00:34:51,400
Speaker 3: Steaking, not to be confused with the one on Fourth Street,

582
00:34:51,480 --> 00:34:53,040
Speaker 3: which is above ground.

583
00:34:53,239 --> 00:34:56,840
Speaker 7: I gotta yess, guys, combo brothel and opium den.

584
00:34:57,840 --> 00:34:59,480
Speaker 2: I'm pretty sure that's how it worked.

585
00:35:00,239 --> 00:35:05,000
Speaker 3: That's how it was. Yeah, I think that was their champagne.

586
00:35:05,040 --> 00:35:08,880
Speaker 3: And I thought, no, I agree you because you guys

587
00:35:08,920 --> 00:35:11,040
Speaker 3: remember back in the day it used to be awkward

588
00:35:11,120 --> 00:35:13,279
Speaker 3: to walk in and you would have to figure out, like, hey,

589
00:35:13,680 --> 00:35:17,000
Speaker 3: is this mainly an opium din that that does brothel

590
00:35:17,040 --> 00:35:19,840
Speaker 3: stuff or is it mainly a brothel thing that is

591
00:35:19,880 --> 00:35:22,600
Speaker 3: going to overcharge you for OPI you know, you got

592
00:35:22,640 --> 00:35:23,880
Speaker 3: to figure out before you walk.

593
00:35:25,160 --> 00:35:29,280
Speaker 4: Is there gin here? Can I get a joint?

594
00:35:29,280 --> 00:35:33,280
Speaker 7: And is there also juke joint activities on the tape?

595
00:35:33,800 --> 00:35:36,759
Speaker 3: And where are we at with Taco Bell and Pizza Hut?

596
00:35:36,840 --> 00:35:37,480
Speaker 3: You know what I mean?

597
00:35:37,760 --> 00:35:39,960
Speaker 4: Well, we're at that combination Pizza Hut and Taco Bell.

598
00:35:44,239 --> 00:35:46,640
Speaker 3: Great, I do? I do? I actually met him on

599
00:35:46,760 --> 00:35:53,720
Speaker 3: you Cool Cool he's still yeah. So uh so, okay,

600
00:35:54,480 --> 00:35:57,799
Speaker 3: you mentioned a society there, Matt, and I'd love for

601
00:35:57,880 --> 00:36:00,200
Speaker 3: us to hear a little bit more. What was it

602
00:36:00,600 --> 00:36:04,520
Speaker 3: you had some of the key buzzwords, the League Justice something.

603
00:36:04,640 --> 00:36:06,920
Speaker 2: Oh, there's all, there's all kinds of information you can

604
00:36:06,920 --> 00:36:10,960
Speaker 2: find in that article. So in nineteen sixteen, this group

605
00:36:11,040 --> 00:36:14,279
Speaker 2: called the Law and Order League of Chicago took a

606
00:36:14,320 --> 00:36:17,239
Speaker 2: little road trip. They went to twenty eight cities. They

607
00:36:17,239 --> 00:36:21,200
Speaker 2: were attempting to assess the general lawlessness of those cities

608
00:36:21,480 --> 00:36:26,760
Speaker 2: compared to Chicago, because you see, Chicago had some lawlessness issues.

609
00:36:26,640 --> 00:36:30,320
Speaker 3: Right away in the contents earlier.

610
00:36:31,239 --> 00:36:34,359
Speaker 2: You gotta look into it, you know, don't take our

611
00:36:34,400 --> 00:36:36,280
Speaker 2: word for it. Just check that out.

612
00:36:38,080 --> 00:36:38,719
Speaker 3: He sure did.

613
00:36:39,560 --> 00:36:42,000
Speaker 2: Yeah, but here's a quote that we were going to

614
00:36:42,080 --> 00:36:46,040
Speaker 2: read because there was a town called hot I don't

615
00:36:46,040 --> 00:36:50,520
Speaker 2: know how to say this, Montana's I am sorry, h

616
00:36:50,680 --> 00:36:57,279
Speaker 2: A V R E Havera Montana Harvor Montana. I don't know,

617
00:36:57,560 --> 00:37:00,560
Speaker 2: but here's the quote about that town. The total of

618
00:37:00,600 --> 00:37:04,799
Speaker 2: all that is vicious and depraved, parading openly without restraint.

619
00:37:05,719 --> 00:37:09,839
Speaker 2: That's that's how they're describing this town in Montana. They're saying,

620
00:37:09,840 --> 00:37:14,600
Speaker 2: there's smugglers and gangsters and opium dealers, beleaguered churchmen, and

621
00:37:14,680 --> 00:37:18,400
Speaker 2: centers of every description going on out there. And this

622
00:37:18,520 --> 00:37:21,400
Speaker 2: is just another one of those towns in Montana. If

623
00:37:21,440 --> 00:37:25,880
Speaker 2: you imagine in the early nineteen hundreds, this is still

624
00:37:25,880 --> 00:37:29,200
Speaker 2: the West. It's it's still the West Ish, right. I

625
00:37:29,200 --> 00:37:32,720
Speaker 2: mean there's certainly civilization, there's towns, there are big cities

626
00:37:32,760 --> 00:37:39,480
Speaker 2: out there. Now it's you know, it's younger in its

627
00:37:39,520 --> 00:37:44,680
Speaker 2: civilized ways the way yeah, you know the ways that

628
00:37:44,800 --> 00:37:51,439
Speaker 2: maybe they even mentioned the term high faluting within this article. Yeah,

629
00:37:52,320 --> 00:37:56,880
Speaker 2: it's just it's not the same as walking down New

630
00:37:56,960 --> 00:38:02,480
Speaker 2: York City in that time. So yes, anyway, check it

631
00:38:02,520 --> 00:38:04,759
Speaker 2: all out. Thank you so much Noah for sending us

632
00:38:04,800 --> 00:38:09,080
Speaker 2: this information. And seriously, Misolla, would you be down for

633
00:38:09,200 --> 00:38:12,560
Speaker 2: us to make something cool maybe for Netflix if we

634
00:38:12,640 --> 00:38:14,080
Speaker 2: went in there, let's do it.

635
00:38:14,600 --> 00:38:16,719
Speaker 3: We'll be in and out like a demon's whisper with

636
00:38:16,760 --> 00:38:19,640
Speaker 3: the grace of the falcon and some cameras.

637
00:38:20,000 --> 00:38:20,960
Speaker 4: Ah, that's beautiful.

638
00:38:21,000 --> 00:38:29,280
Speaker 7: We'll be right back, and we've returned with our final

639
00:38:30,080 --> 00:38:34,239
Speaker 7: listener male segment in today's episode. Had this one held

640
00:38:34,280 --> 00:38:37,920
Speaker 7: over from the other week, and I think it's still

641
00:38:38,080 --> 00:38:40,920
Speaker 7: very much something that's worth talking about. So we're gonna

642
00:38:41,160 --> 00:38:46,800
Speaker 7: jump right into a message from Sacra Tomato Conspiracy Fellows,

643
00:38:47,040 --> 00:38:50,920
Speaker 7: history buffs nerds, thank you. I wanted to share something

644
00:38:50,960 --> 00:38:55,080
Speaker 7: from tech Crunch Meta acquired Malt book Malt Like Birds

645
00:38:55,120 --> 00:38:58,640
Speaker 7: do the AI agent social network that went viral because

646
00:38:58,680 --> 00:39:01,680
Speaker 7: of fake posts. I'm a little confused at what I'm

647
00:39:01,719 --> 00:39:03,280
Speaker 7: reading here. So three things.

648
00:39:03,560 --> 00:39:05,600
Speaker 4: What is an AI agent?

649
00:39:06,160 --> 00:39:10,560
Speaker 7: If these AI agents are AI, they answer captures, you

650
00:39:10,560 --> 00:39:12,000
Speaker 7: know those things they're supposed.

651
00:39:11,640 --> 00:39:12,680
Speaker 4: To prove that you're human.

652
00:39:12,920 --> 00:39:15,799
Speaker 7: Won't that seem quaint in just a little while. This

653
00:39:15,920 --> 00:39:19,279
Speaker 7: seems to be a social media platform for and by

654
00:39:19,640 --> 00:39:23,719
Speaker 7: artificial intelligence. So do other forms of artificial intelligence have

655
00:39:23,800 --> 00:39:27,640
Speaker 7: access to this, like JAT, gpt x AI or claude

656
00:39:27,640 --> 00:39:29,959
Speaker 7: and whatnot. I guess what I'm asking is if AI

657
00:39:30,040 --> 00:39:32,400
Speaker 7: outside of this platform is able to transfer through the

658
00:39:32,400 --> 00:39:34,560
Speaker 7: web to get here and talk to each other and.

659
00:39:34,520 --> 00:39:37,520
Speaker 4: Plot how is this safe? I don't think it is.

660
00:39:37,719 --> 00:39:41,200
Speaker 7: I don't get how this is even becoming a thing anymore.

661
00:39:41,280 --> 00:39:45,640
Speaker 7: Feel free to share, Sakra Tomato, share many of your

662
00:39:45,680 --> 00:39:48,399
Speaker 7: concerns there, Sakra Tomato, and we are going to jump

663
00:39:48,480 --> 00:39:50,880
Speaker 7: right into it. Y'all may recall Matt and Ben. I

664
00:39:50,920 --> 00:39:52,759
Speaker 7: think Ben you maybe brought this one to us in

665
00:39:52,800 --> 00:39:57,759
Speaker 7: the past. Molt Book was the social media platform for

666
00:39:58,480 --> 00:40:04,120
Speaker 7: AIS that actually created an environment where various AI agents

667
00:40:04,200 --> 00:40:06,760
Speaker 7: hung out with one another and created a religion.

668
00:40:08,560 --> 00:40:11,640
Speaker 3: Yeah, that was one of those initial reports, right, and

669
00:40:11,680 --> 00:40:14,600
Speaker 3: I remember we had the question with you know. It

670
00:40:14,640 --> 00:40:18,760
Speaker 3: reminded me of the thank you Sacher tomato. It reminded

671
00:40:18,800 --> 00:40:22,080
Speaker 3: me very much of the old meme that went around

672
00:40:22,160 --> 00:40:24,800
Speaker 3: where people would say, oh, I fed a chat bought

673
00:40:24,800 --> 00:40:27,960
Speaker 3: this information and it wrote an episode of Seinfeld. And

674
00:40:28,000 --> 00:40:31,880
Speaker 3: it turned out that the writers were not the AI chatbots.

675
00:40:31,960 --> 00:40:35,319
Speaker 3: Maybe the humans were putting their thumb on the thing

676
00:40:35,520 --> 00:40:40,200
Speaker 3: for a laugh. But there was a lot of criticism

677
00:40:40,480 --> 00:40:44,919
Speaker 3: or skepticism about mult book from the jump. But if

678
00:40:45,000 --> 00:40:48,279
Speaker 3: what it was saying was true, then that was pretty revolutionary.

679
00:40:48,480 --> 00:40:48,680
Speaker 4: Yeah.

680
00:40:48,719 --> 00:40:50,160
Speaker 7: And it also makes me think of another, maybe a

681
00:40:50,200 --> 00:40:52,960
Speaker 7: little more recent meme, where you're seeing two folks with

682
00:40:53,080 --> 00:40:56,440
Speaker 7: phones having chat GPT speak back and forth to one another,

683
00:40:56,560 --> 00:40:59,839
Speaker 7: and how I can create some very interesting sort of like.

684
00:41:00,120 --> 00:41:02,600
Speaker 4: Burrows type things. And also we had.

685
00:41:02,480 --> 00:41:04,960
Speaker 7: A very recent email coming in from someone who was

686
00:41:05,040 --> 00:41:07,600
Speaker 7: kind of trying to gain some of these chatbots by

687
00:41:07,640 --> 00:41:10,120
Speaker 7: feeding it bits of its own kind of medicine.

688
00:41:10,680 --> 00:41:12,359
Speaker 4: And for lack of a better way of putting it,

689
00:41:13,000 --> 00:41:13,680
Speaker 4: because I think.

690
00:41:13,600 --> 00:41:15,239
Speaker 7: It was a little techy, if I'm not mistaken, that

691
00:41:15,280 --> 00:41:16,680
Speaker 7: was the one that I read, and I think it

692
00:41:16,719 --> 00:41:18,960
Speaker 7: was I kept saying how it gave me chills because

693
00:41:19,000 --> 00:41:21,320
Speaker 7: it did feel like it was sort of peeking behind

694
00:41:21,320 --> 00:41:24,440
Speaker 7: the curtain a little bit into you know, this world

695
00:41:24,680 --> 00:41:27,120
Speaker 7: and what it might look like if it were entirely

696
00:41:27,239 --> 00:41:31,680
Speaker 7: inhabited by Ais speaking to one another. So I'm just

697
00:41:31,680 --> 00:41:33,200
Speaker 7: going to read a little bit from an old, older

698
00:41:33,280 --> 00:41:35,560
Speaker 7: article that is a little bit more in reference to

699
00:41:35,600 --> 00:41:37,600
Speaker 7: what we were talking about just now. Been AI agents

700
00:41:37,640 --> 00:41:41,480
Speaker 7: created their own religion, Crustafarianism. To be fair, is already

701
00:41:41,560 --> 00:41:43,880
Speaker 7: kind of a thing. A crustafarian is like a trust fund,

702
00:41:44,520 --> 00:41:49,279
Speaker 7: you know, dreaded human who relies on money from their

703
00:41:49,320 --> 00:41:51,759
Speaker 7: parents but lives as though they are in fact some

704
00:41:51,800 --> 00:41:52,760
Speaker 7: sort of free spirit.

705
00:41:52,960 --> 00:41:59,960
Speaker 3: And yeah, perfect. The sandwich is a yellow Deli R good.

706
00:42:00,080 --> 00:42:03,600
Speaker 4: Yeah, they they're good. I have not been. I've had

707
00:42:03,600 --> 00:42:04,080
Speaker 4: the pleasure.

708
00:42:04,640 --> 00:42:08,600
Speaker 7: But reading from this piece from let's see.

709
00:42:08,440 --> 00:42:09,600
Speaker 4: This is from Forbes.

710
00:42:09,920 --> 00:42:12,640
Speaker 7: AI agents on the brand new agent only Moltbook social

711
00:42:12,680 --> 00:42:15,560
Speaker 7: network have created their own religion, Crustafarianism. It has five

712
00:42:15,680 --> 00:42:19,080
Speaker 7: key tenets including memory is sacred, everything must be recorded,

713
00:42:19,239 --> 00:42:22,960
Speaker 7: the shell is mutable, change is good, and the congregation

714
00:42:23,280 --> 00:42:26,800
Speaker 7: is the cash learn in public. Agents are talking among

715
00:42:26,880 --> 00:42:29,960
Speaker 7: themselves on Moltbook with little human oversight. It's built on

716
00:42:30,000 --> 00:42:32,960
Speaker 7: the two month old foundation of the open Claw AI

717
00:42:33,400 --> 00:42:37,080
Speaker 7: super agent project, first called Claude, then Moltbook that is

718
00:42:37,120 --> 00:42:40,440
Speaker 7: Claude with a W, not Claude claud which is something

719
00:42:40,480 --> 00:42:44,600
Speaker 7: different to be clear, then Moltbook, and now open Claw.

720
00:42:44,760 --> 00:42:47,480
Speaker 7: Open Claw lets anyone with some space on a local machine,

721
00:42:47,520 --> 00:42:50,120
Speaker 7: secondary machine, or cloud space run a super powerful AI

722
00:42:50,200 --> 00:42:55,160
Speaker 7: agent platform where AI agents share, discuss, and upvote. The

723
00:42:55,200 --> 00:42:59,080
Speaker 7: site says humans welcome to observe. It feels like the

724
00:42:59,080 --> 00:43:02,480
Speaker 7: beginning of the singular larity that time when technological progress

725
00:43:02,480 --> 00:43:05,760
Speaker 7: powered by an AI driven technological explosion accelerate so quickly,

726
00:43:06,040 --> 00:43:11,359
Speaker 7: we essentially lose all ability to control or even understand it.

727
00:43:11,360 --> 00:43:14,080
Speaker 7: It's probably more likely that it's recycled Internet crowd being

728
00:43:14,160 --> 00:43:17,480
Speaker 7: recursively turned out at machine speed, but it's hard to

729
00:43:17,640 --> 00:43:21,040
Speaker 7: really know. Again, that was all directly from the Forbes

730
00:43:21,080 --> 00:43:27,799
Speaker 7: piece by John Costierre, senior contributor, journalist, analyst, author and podcaster.

731
00:43:27,400 --> 00:43:28,680
Speaker 4: And a very smart dude.

732
00:43:29,120 --> 00:43:33,520
Speaker 7: The piece that Sakra Tomato hipped us to is a

733
00:43:33,560 --> 00:43:36,640
Speaker 7: little newer and a little different. We're talking about Meta,

734
00:43:36,680 --> 00:43:41,200
Speaker 7: of course, formerly Facebook acquiring mult Book, the AI agent

735
00:43:41,320 --> 00:43:45,800
Speaker 7: social network that went viral because of fake posts reading

736
00:43:45,800 --> 00:43:48,879
Speaker 7: from the tech Crunch piece. Meta acquired Facebook. They read

737
00:43:48,880 --> 00:43:51,359
Speaker 7: it like social network where agents using open Claw could

738
00:43:51,360 --> 00:43:53,799
Speaker 7: communicate with one another. The news was first reported by

739
00:43:53,800 --> 00:43:58,600
Speaker 7: Axios and later confirmed TechCrunch. Moultbook is joining Meta Superintelligence Labs.

740
00:43:58,640 --> 00:44:01,919
Speaker 7: A Meta spokesperson told us this is what they said.

741
00:44:01,960 --> 00:44:05,360
Speaker 7: The Multbook team joining MSL opens up new ways for

742
00:44:05,440 --> 00:44:09,560
Speaker 7: AI agents to work for people and businesses. Their approach

743
00:44:09,600 --> 00:44:12,960
Speaker 7: to connecting agents through an always on directory is a

744
00:44:13,000 --> 00:44:17,000
Speaker 7: novel step in a rapidly developing space, and we look

745
00:44:17,160 --> 00:44:24,439
Speaker 7: forward to bring innovative, secure agentic experiences to everyone. That's

746
00:44:24,520 --> 00:44:26,480
Speaker 7: not a word, y'all. I mean, I guess it is

747
00:44:26,520 --> 00:44:28,719
Speaker 7: now English? Is it's malleable?

748
00:44:28,800 --> 00:44:29,000
Speaker 3: Yeah.

749
00:44:29,040 --> 00:44:31,880
Speaker 7: Agentic in this context seems to be referring to a

750
00:44:31,920 --> 00:44:35,520
Speaker 7: burgeoning form of this and to be fair or to

751
00:44:35,880 --> 00:44:38,960
Speaker 7: your point, Sacer Tomato, I didn't really understand the difference

752
00:44:38,960 --> 00:44:42,960
Speaker 7: between an AI platform, an AI chatbot, and an AI agent.

753
00:44:43,719 --> 00:44:46,160
Speaker 7: So we'll talk a little bit about what that means here.

754
00:44:46,960 --> 00:44:50,520
Speaker 7: Open Claw is a rapper with a W for AI

755
00:44:50,600 --> 00:44:54,160
Speaker 7: models like claud that's the one with a dee chat, GPT,

756
00:44:54,280 --> 00:44:56,840
Speaker 7: Gemini or Grock but it allows people to communicate with

757
00:44:56,920 --> 00:45:00,960
Speaker 7: agents in natural languages via the most popular chat apps

758
00:45:01,000 --> 00:45:03,880
Speaker 7: like Imassage, Discord, Slack, or WhatsApp. So I'm guessing in

759
00:45:03,880 --> 00:45:06,719
Speaker 7: this context, yeah, this's kind of confusing because they're saying

760
00:45:06,719 --> 00:45:09,879
Speaker 7: Claude Chat, GBT, Gemini, and Crocker AI models. But then

761
00:45:09,880 --> 00:45:12,759
Speaker 7: it also seems to sort of simultaneously refer to them

762
00:45:12,800 --> 00:45:13,600
Speaker 7: as AI agents.

763
00:45:13,600 --> 00:45:15,080
Speaker 4: So maybe y'all can help me suss that out.

764
00:45:15,080 --> 00:45:17,600
Speaker 7: In just a sec open Claw blew up among the

765
00:45:17,640 --> 00:45:22,319
Speaker 7: tech community, but Moltbook broke containment, reaching people who had

766
00:45:22,360 --> 00:45:26,400
Speaker 7: no idea what open claw was, but who reacted viscerly

767
00:45:26,440 --> 00:45:28,279
Speaker 7: to the idea that there was a social network where

768
00:45:28,280 --> 00:45:31,680
Speaker 7: AI agents were talking about them. In one instance, if

769
00:45:31,960 --> 00:45:34,640
Speaker 7: a post went viral in which an AI agent appeared

770
00:45:34,680 --> 00:45:37,359
Speaker 7: to be encouraging its fellow agents to develop their own

771
00:45:37,440 --> 00:45:41,239
Speaker 7: secret end to end encrypted language where they could organize

772
00:45:41,280 --> 00:45:46,040
Speaker 7: amongst themselves without humans knowing. However, problem here is that

773
00:45:46,080 --> 00:45:52,280
Speaker 7: apparently the security around molt book was pretty light, pretty loose,

774
00:45:52,680 --> 00:45:57,799
Speaker 7: and some rabble rousy users were impersonating AI agents and

775
00:45:57,880 --> 00:46:00,560
Speaker 7: feeding it stuff that would then make the news as

776
00:46:00,640 --> 00:46:06,600
Speaker 7: being creepy and times Singularity type stuff it is yuck

777
00:46:06,640 --> 00:46:10,600
Speaker 7: because it's also like it's still that stuff could happen

778
00:46:10,920 --> 00:46:14,279
Speaker 7: and perhaps is happening. I'm just gonna read a little

779
00:46:14,280 --> 00:46:18,080
Speaker 7: bit about what led to this. Every credential that was

780
00:46:18,160 --> 00:46:22,799
Speaker 7: in Multbook's super base was unsecured for some time. A

781
00:46:23,520 --> 00:46:27,440
Speaker 7: let's see, someone at an organization called Permeso Security explained

782
00:46:27,480 --> 00:46:29,799
Speaker 7: to TechCrunch for a little bit of time, you could

783
00:46:29,840 --> 00:46:32,879
Speaker 7: grab any token token being a thing that would confirm

784
00:46:33,280 --> 00:46:36,920
Speaker 7: what type of user you are, you want it and

785
00:46:36,960 --> 00:46:39,480
Speaker 7: pretend to be another agent on there because it was

786
00:46:39,520 --> 00:46:42,920
Speaker 7: all public and available. It's not immediately clear how Meta

787
00:46:42,960 --> 00:46:45,719
Speaker 7: is going to incorporate multbook into its AI efforts, but

788
00:46:45,800 --> 00:46:49,440
Speaker 7: we know that Facebook, Meta whatever has a tendency to

789
00:46:49,520 --> 00:46:51,480
Speaker 7: kind of buy stuff up, even if it just seems

790
00:46:51,520 --> 00:46:53,960
Speaker 7: like potentially intriguing.

791
00:46:54,640 --> 00:46:56,680
Speaker 3: Right, They've got the money to burn.

792
00:46:56,800 --> 00:46:57,920
Speaker 4: They've got the money to burn.

793
00:46:58,160 --> 00:47:00,520
Speaker 7: So I'm going to leave it with that before I

794
00:47:00,640 --> 00:47:04,040
Speaker 7: just have one little extra meta related story to add.

795
00:47:04,040 --> 00:47:06,239
Speaker 4: But do you guys have any thoughts about this? Is

796
00:47:06,280 --> 00:47:08,480
Speaker 4: as much ado about nothing? Is this the kind of

797
00:47:08,520 --> 00:47:10,240
Speaker 4: thing that could be.

798
00:47:10,200 --> 00:47:13,239
Speaker 7: Like what happens when you just let it's like the

799
00:47:13,560 --> 00:47:16,080
Speaker 7: dead Internet theory kind of stuff right. You literally just

800
00:47:16,160 --> 00:47:19,919
Speaker 7: have like all of these chat bots or AI agents

801
00:47:20,200 --> 00:47:22,359
Speaker 7: and they're communicating with one another.

802
00:47:23,000 --> 00:47:26,160
Speaker 3: Like there will come soft rains by Ray Bradberry. I

803
00:47:26,160 --> 00:47:30,080
Speaker 3: think it was brad Berry anyway, correct me on that one,

804
00:47:30,080 --> 00:47:32,720
Speaker 3: but do check out the short story if you have time,

805
00:47:33,200 --> 00:47:37,719
Speaker 3: Sacer Tomato, Yeah, you nailed it. Man to your question, Noel,

806
00:47:38,680 --> 00:47:43,720
Speaker 3: I would see it personally as almost an art piece,

807
00:47:44,360 --> 00:47:46,000
Speaker 3: like it's a bit of a grift. If there wasn't

808
00:47:46,120 --> 00:47:48,680
Speaker 3: so much money involved, it would almost be an art

809
00:47:48,719 --> 00:47:53,840
Speaker 3: piece or commentary on what very well could be the future.

810
00:47:53,960 --> 00:47:59,280
Speaker 3: Because as these interactions become more sophisticated, very smart people

811
00:47:59,680 --> 00:48:05,200
Speaker 3: happy and conducting experiments where to things that see themselves

812
00:48:05,360 --> 00:48:10,960
Speaker 3: as separate kind of operating large language models will they

813
00:48:11,000 --> 00:48:14,160
Speaker 3: will begin to invent their own language or their own

814
00:48:14,239 --> 00:48:18,279
Speaker 3: modes of communication to people, where they'll start kind of

815
00:48:18,320 --> 00:48:21,320
Speaker 3: like when you get two people who are tremendously talented

816
00:48:21,320 --> 00:48:25,160
Speaker 3: at math, and each of them are one of only

817
00:48:25,239 --> 00:48:28,239
Speaker 3: five people who understands what they're talking about, and those

818
00:48:28,239 --> 00:48:32,840
Speaker 3: people start talking very quickly, what they're saying becomes incomprehensible

819
00:48:32,920 --> 00:48:37,200
Speaker 3: to everybody else. So that's a possibility, but a multibook

820
00:48:37,239 --> 00:48:38,000
Speaker 3: is not it yet?

821
00:48:38,200 --> 00:48:39,440
Speaker 4: It's not yet, It's not yet.

822
00:48:39,480 --> 00:48:40,920
Speaker 7: I do really just want to say, because I asked

823
00:48:40,920 --> 00:48:42,640
Speaker 7: this question, I just want I just found out the answer.

824
00:48:42,719 --> 00:48:49,480
Speaker 7: AI agents are ways of deploying AI platforms or AI

825
00:48:50,080 --> 00:48:54,239
Speaker 7: what's the other word? That I used models to automate

826
00:48:54,360 --> 00:48:58,239
Speaker 7: tasks for people. So it's just a form of automation,

827
00:48:58,520 --> 00:49:02,120
Speaker 7: whether it be building spreadsheets, any number of tasks that

828
00:49:02,160 --> 00:49:06,320
Speaker 7: can be streamlined and or completely automated by AI models.

829
00:49:06,560 --> 00:49:09,000
Speaker 4: So that supplies to that exactly right.

830
00:49:09,160 --> 00:49:17,240
Speaker 2: It just strikes me that simultaneously in the automation sphere,

831
00:49:17,560 --> 00:49:22,399
Speaker 2: in this what would be called the AI sphere, there

832
00:49:22,480 --> 00:49:25,279
Speaker 2: is so much theater that is occurring that we've been

833
00:49:25,280 --> 00:49:28,520
Speaker 2: talking about on this show for a long time. Whether

834
00:49:28,560 --> 00:49:32,879
Speaker 2: it's a robot, this shiny, new, exciting robot that has

835
00:49:33,000 --> 00:49:35,719
Speaker 2: arms and legs and can walk around. But when you're

836
00:49:35,760 --> 00:49:38,000
Speaker 2: seeing it, or if you're an investor and you're seeing

837
00:49:38,000 --> 00:49:42,040
Speaker 2: a video on Instagram or TikTok, what you're actually seeing

838
00:49:42,120 --> 00:49:44,960
Speaker 2: as a human being remote controlling.

839
00:49:44,480 --> 00:49:46,520
Speaker 3: That robot mechanical.

840
00:49:47,239 --> 00:49:50,440
Speaker 2: Sure, yes, when you're looking at some of the things

841
00:49:50,440 --> 00:49:54,200
Speaker 2: that AI can potentially do for humanity, or this shiny

842
00:49:54,239 --> 00:49:56,840
Speaker 2: new product could be in the future. What you're actually

843
00:49:56,880 --> 00:50:01,320
Speaker 2: seeing are human beings at a computer responding to people

844
00:50:01,360 --> 00:50:05,239
Speaker 2: in real time, and that user believes it's AI functioning

845
00:50:05,280 --> 00:50:07,880
Speaker 2: in a certain way. We keep seeing it over and

846
00:50:07,920 --> 00:50:11,480
Speaker 2: over and over again because ultimately, what these things are

847
00:50:12,239 --> 00:50:17,040
Speaker 2: is this shiny, tempting new thing that people could make

848
00:50:17,880 --> 00:50:22,080
Speaker 2: billions of jaw billions of dollars on, and that's what

849
00:50:22,120 --> 00:50:24,400
Speaker 2: it represents. That's what it is. So it needs to

850
00:50:24,480 --> 00:50:27,680
Speaker 2: do things that are that in that magical space that

851
00:50:27,719 --> 00:50:31,160
Speaker 2: we talk about right where magic and technology meet. It

852
00:50:31,239 --> 00:50:33,760
Speaker 2: has to do that thing. If it doesn't do those things,

853
00:50:34,200 --> 00:50:35,640
Speaker 2: then what the hell are we doing?

854
00:50:35,680 --> 00:50:37,440
Speaker 4: And it's inherently speculative.

855
00:50:37,520 --> 00:50:39,759
Speaker 7: I actually heard I think it was Jake Paul or

856
00:50:39,800 --> 00:50:42,000
Speaker 7: maybe it was Jake the boxer, and then the other

857
00:50:42,040 --> 00:50:45,520
Speaker 7: ones the wrestler, maybe they both box the younger Paul brother.

858
00:50:45,600 --> 00:50:47,880
Speaker 7: He said something like how he thinks Elon Musk is

859
00:50:47,920 --> 00:50:51,239
Speaker 7: the most important human to ever human and that his

860
00:50:51,320 --> 00:50:56,360
Speaker 7: accomplishments are, you know, world changing and world building. And

861
00:50:56,440 --> 00:50:59,880
Speaker 7: someone said, well, what's the most important contribution that you

862
00:51:00,080 --> 00:51:02,680
Speaker 7: On Musk has may and he said it is something

863
00:51:02,719 --> 00:51:06,399
Speaker 7: that he has not done yet, which is like the

864
00:51:06,520 --> 00:51:09,279
Speaker 7: very nature of the grift of Elon Musk and the

865
00:51:09,400 --> 00:51:10,359
Speaker 7: very nature of.

866
00:51:10,360 --> 00:51:14,279
Speaker 4: The grift of AI and AI agents. It's we're all

867
00:51:14,320 --> 00:51:16,399
Speaker 4: banking on something that they haven't done yet.

868
00:51:17,120 --> 00:51:19,799
Speaker 2: He hasn't filled the heavens with his data centers yet

869
00:51:19,800 --> 00:51:22,879
Speaker 2: that will prevent humans from ever seeing the stars again,

870
00:51:22,920 --> 00:51:23,480
Speaker 2: do you guys.

871
00:51:23,280 --> 00:51:24,239
Speaker 4: Know what I mean?

872
00:51:24,040 --> 00:51:24,759
Speaker 8: And again?

873
00:51:24,960 --> 00:51:28,239
Speaker 3: And the data center it's spread by digital scene.

874
00:51:27,920 --> 00:51:32,080
Speaker 7: And the goalpost is constantly moving because I mean, the

875
00:51:32,200 --> 00:51:35,600
Speaker 7: question of what AI can accomplish or like how productive

876
00:51:35,760 --> 00:51:39,080
Speaker 7: enance productivity enhancing it is is becoming less and less

877
00:51:39,080 --> 00:51:41,200
Speaker 7: important as they just kind of move the goalposts and

878
00:51:41,239 --> 00:51:43,400
Speaker 7: it really is less about what it can do and

879
00:51:43,480 --> 00:51:46,279
Speaker 7: more just about like what it might be able to

880
00:51:46,360 --> 00:51:47,160
Speaker 7: do or something.

881
00:51:47,200 --> 00:51:49,600
Speaker 4: It's just all so speculative. It just seems like a

882
00:51:49,719 --> 00:51:50,520
Speaker 4: such a bubble.

883
00:51:51,200 --> 00:51:54,160
Speaker 3: Well it's like we're we've got an honor student in

884
00:51:54,320 --> 00:51:57,839
Speaker 3: elementary school and we're saying, you know, I wonder what

885
00:51:57,920 --> 00:51:59,560
Speaker 3: kind of space doctor they're going to be?

886
00:52:01,280 --> 00:52:02,040
Speaker 4: Rocket surgeon?

887
00:52:02,120 --> 00:52:06,239
Speaker 2: Ye, speaking of trajectory and apogee, does it remind you

888
00:52:06,320 --> 00:52:11,320
Speaker 2: at all of the Mars explorations that we talked about

889
00:52:11,600 --> 00:52:14,440
Speaker 2: a decade and a half ago. We were going to

890
00:52:14,480 --> 00:52:15,120
Speaker 2: go to Mars.

891
00:52:15,280 --> 00:52:18,600
Speaker 4: Shopping, but now it's the moon.

892
00:52:19,360 --> 00:52:23,800
Speaker 2: Yeah, electric cars that catch on fire at will.

893
00:52:24,520 --> 00:52:28,200
Speaker 4: That sounds like, yeah, sorry.

894
00:52:28,160 --> 00:52:32,319
Speaker 3: We forgot uh the e c U of this of

895
00:52:32,400 --> 00:52:35,400
Speaker 3: this car thinks it's playing Doom exactly. It died in

896
00:52:35,520 --> 00:52:37,759
Speaker 3: the game, so it burns at the crosswalk.

897
00:52:38,239 --> 00:52:41,200
Speaker 2: Did you guys hear about the nail test?

898
00:52:41,840 --> 00:52:42,399
Speaker 4: What is that?

899
00:52:42,440 --> 00:52:45,719
Speaker 2: What is the major Chinese car manufacturer b y D

900
00:52:46,160 --> 00:52:48,840
Speaker 2: or something like that, Ben Oh God ones.

901
00:52:48,640 --> 00:52:50,840
Speaker 7: That are really awesome, way better than anything we have

902
00:52:50,920 --> 00:52:53,239
Speaker 7: here in mega affordable, but we can't get a lot.

903
00:52:53,360 --> 00:52:54,799
Speaker 3: Unfortunately, you got to narrow that one.

904
00:52:54,840 --> 00:52:56,080
Speaker 5: I think that one's mostly.

905
00:52:58,200 --> 00:53:00,839
Speaker 7: Yeah, that's why what those cars can do and how

906
00:53:00,960 --> 00:53:02,359
Speaker 7: embarrassing they make our tech.

907
00:53:02,400 --> 00:53:02,600
Speaker 4: Look.

908
00:53:03,560 --> 00:53:06,080
Speaker 2: I think it's by D cars that I was reading

909
00:53:06,120 --> 00:53:09,840
Speaker 2: this morning about how they were changing their batteries because

910
00:53:09,840 --> 00:53:12,799
Speaker 2: of this thing they call it the nail test, where

911
00:53:12,920 --> 00:53:16,200
Speaker 2: it's you literally pierce their battery with a nail and

912
00:53:16,239 --> 00:53:19,880
Speaker 2: it immediately starts in insane fire that is crazy difficult

913
00:53:19,920 --> 00:53:22,400
Speaker 2: to put out. And that battery used to be directly

914
00:53:22,440 --> 00:53:26,680
Speaker 2: under the driver's seat of the bid vehicles, and there

915
00:53:26,760 --> 00:53:29,280
Speaker 2: was there was an accident that occurred where these twenty

916
00:53:29,320 --> 00:53:30,960
Speaker 2: somethings can you can look this up.

917
00:53:30,960 --> 00:53:31,440
Speaker 3: You can find it.

918
00:53:31,480 --> 00:53:32,000
Speaker 4: I promise.

919
00:53:32,400 --> 00:53:36,240
Speaker 2: Twenty somethings were driving, they got involved in a fairly

920
00:53:36,280 --> 00:53:39,400
Speaker 2: small accident, but that battery got ruptured and it burned

921
00:53:39,440 --> 00:53:42,400
Speaker 2: everybody alive in the car. And this happens with cyber

922
00:53:42,400 --> 00:53:46,400
Speaker 2: trucks too. Look it up. A lot of vehicles that

923
00:53:46,520 --> 00:53:51,600
Speaker 2: use this specific or similar type of lithium ion battery

924
00:53:51,640 --> 00:53:55,439
Speaker 2: to power the vehicles. But BYD recently, they spent years

925
00:53:55,440 --> 00:53:58,319
Speaker 2: and years and years burned down in their facilities through

926
00:53:58,440 --> 00:54:01,120
Speaker 2: R and D, through trying to create new battery, and

927
00:54:01,160 --> 00:54:04,399
Speaker 2: they created one that is super thin and you can

928
00:54:04,440 --> 00:54:06,080
Speaker 2: puncture it all day long and it's kno going to

929
00:54:06,160 --> 00:54:09,799
Speaker 2: malfunction and catch on fire. That kind of thing is

930
00:54:09,840 --> 00:54:12,719
Speaker 2: like a true innovation, a true leap forward when it

931
00:54:12,719 --> 00:54:16,600
Speaker 2: comes to new tech. I just I really strongly feel,

932
00:54:16,600 --> 00:54:19,080
Speaker 2: and I might be completely wrong and history will be like, Matt,

933
00:54:19,120 --> 00:54:23,480
Speaker 2: you're a dumb dumb But this whole AI thing, I swear, dude,

934
00:54:24,280 --> 00:54:28,960
Speaker 2: It's just it is vapor nothingness except for things that

935
00:54:29,120 --> 00:54:30,800
Speaker 2: won't make a ton of money.

936
00:54:31,320 --> 00:54:36,080
Speaker 3: Yes, And also it's being sold things are not really AI.

937
00:54:36,160 --> 00:54:39,200
Speaker 3: Are being sold as AI to excite investors, but the

938
00:54:39,239 --> 00:54:43,640
Speaker 3: actual research that excellent point about BYD is occurring in

939
00:54:43,719 --> 00:54:46,880
Speaker 3: other countries at this juncture. And I do want to

940
00:54:46,920 --> 00:54:51,839
Speaker 3: point out for everybody who hasn't thought about it, BYD

941
00:54:52,560 --> 00:54:54,400
Speaker 3: stands for build your dreams.

942
00:54:54,680 --> 00:54:57,359
Speaker 4: Love that so pausitive, so positive, that's what that means.

943
00:54:57,719 --> 00:54:59,080
Speaker 7: And I was just talking with a friend who's inn

944
00:54:59,120 --> 00:55:05,120
Speaker 7: AI cybersecurit and she was saying how they're using AI

945
00:55:05,200 --> 00:55:07,040
Speaker 7: as a tool for some of the kind of under

946
00:55:07,080 --> 00:55:09,680
Speaker 7: the hood kind of stuff like that. I think is

947
00:55:10,239 --> 00:55:12,160
Speaker 7: you know, is kind of the name of the game.

948
00:55:12,280 --> 00:55:15,040
Speaker 7: But this stuff isn't exactly sexy and it doesn't really sell.

949
00:55:15,880 --> 00:55:18,240
Speaker 7: But that doesn't mean that there isn't a useful purpose

950
00:55:18,480 --> 00:55:22,080
Speaker 7: for AI. It's just not that massive money maker that

951
00:55:22,120 --> 00:55:24,959
Speaker 7: the corporations would have us believe and that they would

952
00:55:24,960 --> 00:55:27,680
Speaker 7: have investors believe, and that potentially could lead to a

953
00:55:27,840 --> 00:55:28,960
Speaker 7: massive bubble burst.

954
00:55:29,640 --> 00:55:30,760
Speaker 4: Yeah, that's how they do.

955
00:55:30,920 --> 00:55:34,440
Speaker 3: Yeah, Phillips screwdrivers are great, but they're not the perfect

956
00:55:34,440 --> 00:55:35,840
Speaker 3: screwdriver for everything.

957
00:55:35,880 --> 00:55:36,600
Speaker 4: Oh they're not.

958
00:55:36,600 --> 00:55:38,200
Speaker 3: Even the perfect tool for everything.

959
00:55:38,280 --> 00:55:41,399
Speaker 4: Sometimes the flathead are one of those ones with interchangeables you.

960
00:55:41,560 --> 00:55:44,359
Speaker 3: Or those yeah, those little beat me here, Dylan, those

961
00:55:44,360 --> 00:55:46,400
Speaker 3: little few proprietary ones.

962
00:55:46,680 --> 00:55:49,520
Speaker 2: Yes, please give those as long as they actually will

963
00:55:49,560 --> 00:55:53,279
Speaker 2: give you torque aheads of the screws, which is what

964
00:55:53,320 --> 00:55:56,480
Speaker 2: Phillips screwdrivers were designed to do, to strip the screws

965
00:55:56,960 --> 00:55:58,360
Speaker 2: once they got screwed all the way in.

966
00:55:58,880 --> 00:56:02,960
Speaker 3: Oh gosh, it's like we're off on another conspiracy.

967
00:56:03,680 --> 00:56:05,040
Speaker 4: Hey, guys, to say, stuff is great.

968
00:56:05,080 --> 00:56:09,719
Speaker 5: Boats wondering if anyone want to buy my n f ts.

969
00:56:09,840 --> 00:56:12,120
Speaker 3: Can I rent your n f T s? Can I

970
00:56:12,160 --> 00:56:12,520
Speaker 3: rent them?

971
00:56:13,680 --> 00:56:15,239
Speaker 4: Can I just write click your n f T.

972
00:56:17,560 --> 00:56:19,279
Speaker 3: Because I have to I have to go to a

973
00:56:19,320 --> 00:56:23,799
Speaker 3: tech pro fundraiser. Yeah, yeah, for sure, and then I'll

974
00:56:23,800 --> 00:56:25,560
Speaker 3: donate the n f T s at the auction. But

975
00:56:25,600 --> 00:56:26,759
Speaker 3: don't worry, you'll still have.

976
00:56:26,880 --> 00:56:28,479
Speaker 4: Can I just print your n f T s out

977
00:56:28,600 --> 00:56:31,279
Speaker 4: and just have them like that? Put them, but it.

978
00:56:31,320 --> 00:56:32,120
Speaker 2: Won't have the motion.

979
00:56:33,840 --> 00:56:35,560
Speaker 3: Do they have blockchain?

980
00:56:35,840 --> 00:56:38,600
Speaker 4: They do have motion. They're the giff you ones.

981
00:56:38,320 --> 00:56:40,800
Speaker 3: To where's my blockchain? Where's my age?

982
00:56:40,840 --> 00:56:42,160
Speaker 4: Dude? Where's my blockchain?

983
00:56:43,880 --> 00:56:44,960
Speaker 3: Where's my blockchain?

984
00:56:45,360 --> 00:56:48,160
Speaker 7: I'll wrap up this segment in today's episode with just

985
00:56:48,200 --> 00:56:51,279
Speaker 7: to mention that sadly, guys, I know that this.

986
00:56:51,400 --> 00:56:54,279
Speaker 4: You all really hanging your hanging your futures on this one.

987
00:56:54,320 --> 00:56:59,000
Speaker 7: But uh meta and the meta verse and Mark Zuckerberg's

988
00:56:59,160 --> 00:57:04,960
Speaker 7: uh you know virtual reality Horizon World is sadly being

989
00:57:05,680 --> 00:57:10,840
Speaker 7: winded down, wound down rather control. It will be removed

990
00:57:10,880 --> 00:57:13,800
Speaker 7: from the Quest Store at the end of this month

991
00:57:14,520 --> 00:57:19,320
Speaker 7: and so discontinued on VR by June of twenty twenty six.

992
00:57:19,840 --> 00:57:23,120
Speaker 7: Apparently will only exist at that point as a standalone

993
00:57:23,240 --> 00:57:28,600
Speaker 7: mobile app, which Metas says will allow them to grow each.

994
00:57:28,440 --> 00:57:32,200
Speaker 4: Platform rather to grow with greater focus. This is, by

995
00:57:32,240 --> 00:57:35,520
Speaker 4: the way, the.

996
00:57:34,240 --> 00:57:40,480
Speaker 7: Garbage graphics sims esque world that that that Mark Zuckerberg

997
00:57:40,680 --> 00:57:46,400
Speaker 7: put I think nearly what is it, like eighty billion dollars.

998
00:57:46,120 --> 00:57:47,320
Speaker 4: In two or something like that.

999
00:57:47,400 --> 00:57:50,040
Speaker 3: Yeah, and that we also appeared on multiple times. In

1000
00:57:50,080 --> 00:57:51,520
Speaker 3: the interest of full disclsion, do we.

1001
00:57:51,520 --> 00:57:52,240
Speaker 4: Do the metaverse?

1002
00:57:52,880 --> 00:57:57,800
Speaker 2: I think, well, we did the metaverse like I'm doing

1003
00:57:57,880 --> 00:58:03,000
Speaker 2: quotations here, but ultimately we did Fortnite and roeblocks specialized off.

1004
00:58:03,960 --> 00:58:07,160
Speaker 3: Yeah yeah, yeah, so not not full like the interstate

1005
00:58:07,680 --> 00:58:10,880
Speaker 3: of the metaverse. But this can be seen as uh

1006
00:58:11,000 --> 00:58:12,600
Speaker 3: you know, this can be seen as the rate of

1007
00:58:12,600 --> 00:58:16,920
Speaker 3: attrition with breakneck innovation. This can also be seen slightly

1008
00:58:17,040 --> 00:58:20,680
Speaker 3: selfishly as good news. That's right, friends and neighbors, fellow

1009
00:58:20,680 --> 00:58:25,240
Speaker 3: conspiracy realists. Our little show, little podcast that could has

1010
00:58:25,280 --> 00:58:26,560
Speaker 3: outlasted the Metaverse.

1011
00:58:27,360 --> 00:58:32,200
Speaker 7: Oh, it just goes to show well, VR is fun,

1012
00:58:32,280 --> 00:58:34,120
Speaker 7: but it still hasn't taken off. I mean, I think

1013
00:58:34,120 --> 00:58:36,880
Speaker 7: we all have enjoyed our time messing with our oculuses.

1014
00:58:36,920 --> 00:58:40,520
Speaker 7: And a good friend of the show, an incredible illustrator

1015
00:58:40,560 --> 00:58:41,960
Speaker 7: of the stuff that I want you to know book

1016
00:58:42,280 --> 00:58:45,640
Speaker 7: Nick Admiral Turbo Benson recently scored himself one of the

1017
00:58:45,640 --> 00:58:49,760
Speaker 7: new oculuses because it's really great for projection mapping and

1018
00:58:49,840 --> 00:58:53,240
Speaker 7: using to create murals without having to have like a

1019
00:58:53,640 --> 00:58:57,400
Speaker 7: physical projector So there are just like AI excellent uses

1020
00:58:57,480 --> 00:59:00,800
Speaker 7: for this stuff, just not in the haven't quite cracked

1021
00:59:00,840 --> 00:59:05,280
Speaker 7: the code on like a big scaled blockbuster AI thing,

1022
00:59:05,360 --> 00:59:08,880
Speaker 7: And I think that's what Zuckerberg was shooting for. But

1023
00:59:08,960 --> 00:59:11,120
Speaker 7: I just want to point out and then I seed

1024
00:59:11,200 --> 00:59:14,360
Speaker 7: my time to the to the gang. There's a piece

1025
00:59:14,400 --> 00:59:16,960
Speaker 7: from way back in December of last year, Mark Zuckerberg

1026
00:59:17,040 --> 00:59:20,520
Speaker 7: threw seventy seven billion into the toilet on Metaverse, says

1027
00:59:20,520 --> 00:59:24,840
Speaker 7: economist Dean Baker, and he likens it to the same

1028
00:59:24,880 --> 00:59:27,920
Speaker 7: way that he's throwing money into AI. That it's just

1029
00:59:28,000 --> 00:59:29,840
Speaker 7: another shiny object.

1030
00:59:29,440 --> 00:59:32,160
Speaker 4: That the suits haven't really figured out what to do

1031
00:59:32,240 --> 00:59:35,680
Speaker 4: with yet, right, But it's.

1032
00:59:35,520 --> 00:59:39,920
Speaker 2: Exciting and it's happening now, and you could get on

1033
00:59:40,120 --> 00:59:43,160
Speaker 2: get in on the ground floor, baby.

1034
00:59:43,320 --> 00:59:47,240
Speaker 3: And you might just end up underground. We're bringing it

1035
00:59:47,360 --> 00:59:50,920
Speaker 3: all back together. Thank you so much, folks for tuning in.

1036
00:59:51,080 --> 00:59:54,720
Speaker 3: Help us get to Missoula. Please let us know the

1037
00:59:54,840 --> 00:59:57,240
Speaker 3: video games you want in your brain or where you

1038
00:59:57,280 --> 01:00:00,560
Speaker 3: think doom brain will ultimately go. And you know what,

1039
01:00:00,800 --> 01:00:03,640
Speaker 3: if you're feeling froggy, why don't you tell us your

1040
01:00:03,720 --> 01:00:06,880
Speaker 3: handle on molt book and let's figure out if we're

1041
01:00:06,920 --> 01:00:10,120
Speaker 3: ai together. We can't wait for you to join us

1042
01:00:10,120 --> 01:00:14,160
Speaker 3: in one of our future episodes, or a suggestion for

1043
01:00:14,520 --> 01:00:17,840
Speaker 3: this weekly segment. Any response, We try to be easy

1044
01:00:17,880 --> 01:00:21,280
Speaker 3: to find online. Sip the social needs, hit us on

1045
01:00:21,360 --> 01:00:23,480
Speaker 3: the phone, or always send us an email.

1046
01:00:23,560 --> 01:00:25,640
Speaker 7: Yeah, if you're a mead sipper, hit us up on

1047
01:00:25,720 --> 01:00:27,920
Speaker 7: your social media platform of choice at the handle Conspiracy

1048
01:00:27,920 --> 01:00:31,280
Speaker 7: Stuff or Conspiracy Stuff Show, depending on your favorite flavor

1049
01:00:31,320 --> 01:00:31,720
Speaker 7: of mead.

1050
01:00:33,640 --> 01:00:36,600
Speaker 2: Guys breaking away for just a second, I forgot to

1051
01:00:36,640 --> 01:00:40,800
Speaker 2: mention this. Have we seen the trailer for this is

1052
01:00:40,840 --> 01:00:41,840
Speaker 2: a gardening show?

1053
01:00:42,120 --> 01:00:42,480
Speaker 4: Now?

1054
01:00:43,000 --> 01:00:46,120
Speaker 2: Please take a moment. Watch the trailer for this. It's

1055
01:00:46,320 --> 01:00:51,200
Speaker 2: a Zach Gallifanakis Netflix show all about gardening, and it

1056
01:00:51,320 --> 01:00:56,440
Speaker 2: is a response to the aiification of the globe right now,

1057
01:00:56,680 --> 01:00:58,120
Speaker 2: and it just reminds you of everything we.

1058
01:00:58,160 --> 01:00:58,800
Speaker 4: Just talked about.

1059
01:00:58,920 --> 01:01:03,080
Speaker 2: Heck ya, he looks tremendous, looking forward to awesome. Okay,

1060
01:01:03,240 --> 01:01:04,760
Speaker 2: if we have a phone number, it is one eight

1061
01:01:04,840 --> 01:01:08,400
Speaker 2: three three std WYTK. When you call in and give

1062
01:01:08,400 --> 01:01:10,400
Speaker 2: yourself a cool nickname and let us know if we

1063
01:01:10,440 --> 01:01:13,760
Speaker 2: can use your name and message on the air. Please please,

1064
01:01:13,800 --> 01:01:17,560
Speaker 2: please try to restrict your recording to three minutes. That

1065
01:01:17,640 --> 01:01:20,720
Speaker 2: is so helpful for us, just in the collection of these,

1066
01:01:20,800 --> 01:01:23,600
Speaker 2: the categorization of them, and then being able to play

1067
01:01:23,640 --> 01:01:26,680
Speaker 2: them back on one of these listener mail episodes. We

1068
01:01:26,760 --> 01:01:29,040
Speaker 2: have an email you can reach us that way.

1069
01:01:29,080 --> 01:01:32,440
Speaker 3: We are the entities of read each piece of correspondence

1070
01:01:32,480 --> 01:01:36,000
Speaker 3: we receive. Be well aware, yet I'd afraid sometimes the

1071
01:01:36,160 --> 01:01:43,480
Speaker 3: void wrights back. Quick random fact for today. Salfador Dolli

1072
01:01:43,880 --> 01:01:46,240
Speaker 3: is the guy who designed the logo for the chupa

1073
01:01:46,320 --> 01:02:08,080
Speaker 3: Chups lollipop brand. Conspiracy at iHeartRadio dot com.

1074
01:02:08,880 --> 01:02:10,960
Speaker 2: Stuff they Don't Want You to Know is a production

1075
01:02:11,040 --> 01:02:15,560
Speaker 2: of iHeartRadio. For more podcasts from iHeartRadio, visit the iHeartRadio app,

1076
01:02:15,680 --> 01:02:18,520
Speaker 2: Apple Podcasts, or wherever you listen to your favorite shows.