I'd be down to get microchip. Would you? Yeah. If the computer overlords said so?
I think it'd be like, no, man, I'm good. I have no skills, but I'm going to figure it out. Drink rainwater and fish. Well, I knew where they were putting it.
Don't put me to sleep, and then put it in. I want to know what it's going to be. I want to be in the access, dude. No, I want to be in the only place that works.
Don't do it on my spine. I want it on the palm of my hand where I can cut it out if I need to. MUSIC A little more sense to put that thing around though. Too late.
I already hit record. All right. To flip it up so we can see it. Yeah, it would make sense, but we're stupid.
I mean, as long as you can see that light means recording. Who turns it? Is my turn? Is your turn, Dan?
Dan? I'm going to have to fuck with this so much. Fuck what? Yeah, let's make it as much noise as possible right now.
Yeah, fuck it. All right. Couple seconds. It's out.
Just in case there's a buzz. Pretty sure that's an air plug. Yeah, that's not going to help. Welcome to Dan and Brent in the forever.
Welcome to the podcast. I'm Dan. I'm Brent. And this has lived forever.
Record a little off schedule this week. Yeah, a little bit. Just busy week. So record at night, and there's a bunch of different noises we weren't not used to.
We usually record during the day. Not any of the demons from last week. Yes, demons are gone this week as well. So now that I'm sitting on this side of the room, where you see that hole?
Oh, yeah. Yeah, you're kind of a creepy hole, dude. Yeah. Just like it kind of like drops off behind all shadow.
Yeah. I feel like it's changed the light. Yeah, I'm going to do that. No, just keep talking.
Oh, no, no, no. Not much, man. Yeah, just a busy, busy week, man. I've been going nonstop.
First solid weekend, sober October. So such a bitch. Such a bitch. No alcohol.
I've also quit nicotine. My bad. Yeah, that's his phone. That's amazing, asshole.
Yeah, man. No nicotine. Quit and cigarettes and quitting drinking at the same time. Well, I'll try.
You bug gum or something. I bought like regular gum. Oh, I thought you bought nicotine gum. No, no, no, no.
Not your nicotine gum. And I feel like I tricked you. No, I told you you should quit your nicotine gum while I quit. I'm not going to do that.
Well, you should have done. You're going to die one day. From a nicotine gum? Yeah.
Maybe. Well, sure. I feel like it's poisoned. You know they put nicotine in sex sites?
I mean, I wouldn't surprise me. So I'm going to smoke. Yeah, we're just trying to get the insects. No, my fault.
Not cool. Just trying to get insects to it so they keep coming back from warming. Yeah, it was a little weird first. The sober thing, you know, is going to jump on it because.
Dude, that does kind of move. Like kind of screws with your eyes over there. Oh, yeah. I think it's the contrast.
I think it's the demon that lives in the corner of your room. It's totally possible. I didn't know this was like a common thing. So brought to over.
Yeah. Yeah. You did that? Yeah, you've never heard of sober October?
No, I, you know, since I had a choice. I don't know that I'd ever been sober in October. Oh, purpose. Not a purpose.
No. I was thinking about that today. I'm like, shit, I've gone, you know, weeks here and there without getting fucked up. But I cannot recall the last time it was, you know, more than when have you ever really paid attention to it?
I'm sure you've gone a month without realizing it's been a month. It's been a while since that happened. I mean, a long time. I did quit for like two years.
Really? Yeah. I've never really. It was like, oh, cared to quit.
Oh, four or five somewhere in there. I didn't drink at all for two years. Just to stop. No, I was involved in a treatment program.
It was volunteering. And you're involved. I thought I was involved again. No, no, I mean, I got Bakeracted to it.
No, somebody asked for my help. And I'm like, yeah, no problem. I'm not really doing anything on Tuesdays or whatever day it was. And I know you have to put it in your like, shit.
They didn't say that, but you just did it anyway. Because I'm like, eh, I feel like I'm an asshole. Like, hey, you shouldn't be drinking. You should be drinking this.
I'm going to go to the bar. All right, never mind. You know, I don't really care for the whole AA thing. I know people who are in it.
But it's like, maybe it's because I don't have a problem with drinking. I don't think I have a problem. I just like doing it. I don't think you do either.
I don't think you do either. Thanks, buddy. And really, you know, all this being helped not exercise. Well, you know, it's why nobody likes you.
It's boring. No, it's not because she eats right. And she exercises and doesn't get fucked up all the time. But she also doesn't have friends.
I love the opposite of all those things. Because people social dude. And I've got to turn down friendships. I've got to turn people away.
And she just seems a lot more unhappy because of it. I mean, I have to remind her to stop frowning. Really? Yeah, just like randomly.
She's sitting by herself. Somebody would have a frowny face. You wanted to say resting bitch face, didn't you? Well, yeah, but it's not bitch face.
It's resting frowny face. I do think she does that consciously so that she doesn't get wrinkles. But I did see I actually saw some old guy driving. Literally like two days ago.
And like you look over in his face. It's just like a 90 year old guy. And just angry just frown face. Just yeah, for no reason.
Just driving with a frown. I'm like, I wonder what that guy's life's like. Yeah, just like what? He's not mad about anything.
I know he's not. Of course he's mad about nothing. He's old as shit. He had to take about 16 pills this morning.
He doesn't know how to drive anymore. He's actually terrified. So he's got to frown the whole time. So he looks tough.
He's just mad about all the funniness. I don't. Right? That's the other thing.
Oh, they're doing something like, what? How come I'm not there? I should be there doing that. I could do that too.
Yeah, I used to get that pretty bad. Some people call it being an extrovert. Some people call it afraid of being alone. See, I think I'm kind of an introvert though.
I don't really. I'm super shy. I've become one. I'm not shy at all.
I'm super like after about knowing someone for five minutes. Then it's like all on the table. Yeah, you don't strike me as a shy guy. It takes like a couple minutes to get used to someone.
And then I'm all good. But like if I go to a party, like say one of your friends with someone at a party, I went to a YouTube, that party. Yeah, I'd be really, really quiet. I'd be quiet depending on the situation.
Like if too many people listening to me at once, then it's not too popular. Sometimes it just gets bad. Well, yeah, sometimes like the room will get quiet and then everybody turns to you. And then I'm just like, and that's okay.
See you later. But if I'm entertaining, have a good time. Making people laugh. I'll allow a few latch on.
So like lampreys to my sharkness. Thursday we were supposed to record and I couldn't come because I had wedding go to. Yeah, how awesome was that? One's less than being a wedding night and not drink.
A few times. Really? Yeah. Oh, see, I love wedding because I get drunk and I dance.
Well, I'm from a pretty conservative family. So you got anything else coming up this month? No, this month? Yeah.
I'm going with some guy friends who are definitely gonna bring a lot of liquor. Nice. So I'm going camping and not drinking. In this month?
Yeah. Oh, you mean event wise? Do I have anything coming up? Yeah, what do you think about your date?
My social calendar? What do your dates, Dan? Well, I have a consonera. I need to go to his coming out party.
That's gonna be tough. That's gonna be real tough. Very tiring. You're gonna be way better off not drinking the whole time.
No, but camping after we go white water out. Camping, yes, you're right. Around the campfire night everyone's drinking. Yeah, well, you can be camped dead.
Yeah, can be. You can make it fun, man. You gotta fuck with them the whole time. Come up with shit to scare people.
That might be fun. Oh, yeah. All the Halloween stuff's gonna be for sale to not shit packs and stuff. You can get some remote devices.
They have guns though. I don't know. You can get some remote devices from work. Something that's off from makes noise.
Like a streaming thing. And I like to take a piss in the middle of the day. Yeah. Like just put it out in the woods somewhere.
Oh, oh, oh, oh, oh. Just really totally gonna do that. All right, dude, you can put a, all you have to do is get it like a battery and put any sort of like weirdest siren on it. Yeah, it's like a middle of the woods.
Yeah, it was like right over there. I don't know the fuck you out on. So Dan this week, what do we brought to you by? Is it not drinking?
We're brought to you by polar, seltzer water, some sort of knockoff, Zevia, raspberry, lime. Looking for mine right now. Oh, it is. So delicious when it hits your lips.
Bubbly. So this week we're talking about, what are you doing, man? The creepy demon hole for you now? It kind of was, but it was the bubbles from my seltzer.
And it can't. Pretty good. Wait a second. But this week we're talking about Android.
Oh, no, Android's. Well, maybe. Well, AI in general. AI, learn something new.
That there's something called AGI. What is that? Artificial general intelligence. We'll get into that in a second.
Looking pretty good, by the way. It's kind of warming here. So yeah, I took my shirt off. Yeah, it's also why I didn't like it.
It's a little less weird. She's going to turn into an erotic podcast. Very soon. Brown, scum, brown, brown.
So we had to reposition. Because apparently there's some sort of buzzing device outside my house that's driving me insane. Anyway, I started looking into AI. And there's like, there's a couple of different kinds.
And it kind of starts with the things that would be necessary for AI to function. So like, just simple logic, like what a computer can do, is just based on a rule set, you know, like comparison. Yeah, an object to a rule set and saying it. Yeah, if then, you know, or nor all this.
Yeah, a logic Boolean. Yeah, Boolean logic controller. Yeah, Boolean functions. You know, I went to college for computer programming.
No. Really? No, it's like a year and a half. Huh.
And then just stopped on. Well, I can do it. Yeah, that's part of that. I had to take a course in Pascal, which is like, I think it's Pascal.
Yeah, you're right. Some super old programming language. It still prints out like a dot matrix printer and stuff. Yeah.
I was like, yeah, I'm not doing this. I don't blame you. It's hard. Well, a lot of business.
So I'm like, no, no, they don't. You're lying to me. Maybe if I'd known how to type, I would have like written my own games on the Commodore 64 that we had when I was very young. And we would even get like magazines where they would basically show you the code in the magazine.
I used to like tabs in a fucking guitar magazine. Like, I used to read it. I mean, if I do, I work hard enough, I can play, you know. Yeah, libraries in my middle school had computer.
I think I was like, I was like, only get to check them out and I checked my program and basic and I still crappy. Yeah, I was. Visual basic. This is like original basic basic.
So over simplified basic. Anyway, so some of the biggest obstacles that have been overcome in computing is the. I know it keeps moving, dude. Yeah, it's freaking out, right?
It's got to be like some kind of weird draft. Do you see why I was having this total meltdown? We're talking about demons? Yeah, dude.
And I'm in my back. It's like right up against that and you're like, so I'm just going to grab random. Yeah, because it's like out of your peripheral. So yeah, you're not staring directly at it.
So you're like, yeah, it's not super bizarre. It's totally your head make it look like move. Yeah, I know. And I'm dumb.
And I'm dumb. So the big ones were like input, you know, basically like image recognition, speech recognition, and being able to associate bits of information so that a machine can, you know, decipher those ideas and come up with not necessarily its own idea, but you know, like associations. I mean, the brain makes associations. Yeah.
I mean, we're taught a lot. You associate the word with Apple, with a picture of an Apple, with an actual Apple. Right. Sign and sign a signifier.
You know, like you make that association. The biggest ones that have happened are like the speech recognition with Google because it's kind of, you know, it's machine language. Yeah. Are you familiar with machine language?
Machine learning? Every machine learning? Yeah. Yeah.
Yeah. I mean, oh, man, I'm going to piss. I can't remember it. But it's something like facial recognition or something.
They created a program that created a program and they don't understand how it works, but it just does. Right. Yeah. It's like that the Google open source thing, the machine learning algorithm, MLA, something like that.
Sounds about right. Should run the tablet up here. Yeah. Because I'm just forgetting all this shit.
It's going in. So in order to complete these tasks more quickly, the AI is basically teaching itself. And that's really all it is. Yeah.
Like image recognition. I don't know if you saw that episode of Silicon Valley where, you know, it was like not a hot dog. Like that was the only thing that the program could do was say whether or not it was a hot dog. Really?
I don't know if I've seen that particular one. But that's kind of the idea. Like just over and over and over, you have to teach the machine that that is not a hot dog. Now it's getting to the point where they can teach themselves it's not a hot dog.
Yeah. You can teach machines like how to recognize something. Yeah. Like instead of putting a file in it and going, this is a picture in Apple, you explain to it what an Apple is.
And through trial and error, it eventually goes, OK, well, now I know what an Apple is. Exactly. Yeah. Some of the crazy stuff I've seen that machine learning has done is they can now they can take 2D images and pop them into 3D.
Oh, yeah. Yeah. That's all through machine learning. Like they just a computer has created an algorithm to make that work properly.
Completely. So yeah, games have gotten that way. You know, like Assassin's Creed or something, not necessarily based in history, but history as a backdrop. They'll go and take like a billion pictures of famous buildings and they'll use those images to procedurally generate.
Procedurally generate. Yeah. And that's kind of the other side of it. Hang on one second.
So where were we talking about? I was talking about some bullshit. Just now. We had to rearrange a few things real quick.
It doesn't matter. We did it all. Yeah. It might sound different, though.
Whatever. It's not that big deal. It's not at all. Were you in the robots as a kid?
Yeah. Of course, I wanted to be a robotness. A robotness? I've never heard that word.
That's pretty cool. That's the word, right? What? A robotness?
That sounds like robot. Flower guy. I wanted to work in robotics. A robot-is-is.
Is that what I said? A robotic. You said robotness. Yeah.
Yeah. Metal flowers. Metal flowers. Sounds like a pretty cool job.
It's a heavy metal band. Like what kind of robots? I mean, was it just like, oh, like C3PO? No, actually, when I was playing early high school, I really wanted to go in the medical field and build like what do you call it?
Hands and arms. Cross these. Cross these. Cross these.
Cross these. Sideboards. Yeah. I thought that was pretty cool.
Yeah. Yeah. Yeah. Like implants.
Like neural network implants. I mean, have you seen like some of the ones like for deaf people? Oh, yeah. Like they don't even go in your ear anymore.
And I was like on your head. And it like communicates directly into your skull. I saw that. That's pretty cool though.
It is cool. That's how it starts, man. We just get comfortable with the augments. Well, one of my buddies has a hypercephalus.
Hypercephalus? No, that's not it. Man. What is it when you're like a baby that you get flued on the head?
And if you don't fix it, their head gets really big. Hydro. Sephiroth Bod. Something like that.
Yeah. He had that as a kid. And so he has permanent tube that connects to his brain down his neck and to his stomach. Oh, is it OK?
Yeah. It just nonstop for him. Oh, wow. Thanks.
Modern technology. Yeah. He's close to 40. So he had that down when he was a kid.
And I mean, he said it's broke a few times. And like all of a sudden, he'll wake up with like a killer migraine. He has to go and get emergency surgery to get it repaired. Whoa.
Just a plastic tube and it runs from his brain down into his stomach to drain off the excess fluid. Whoa. Yeah, right. Gross.
You don't have to taste it. Just take off. Just take off and take us up. Hey, it's time we just hit the back of my throat for me.
So gross. I'm dehydrated. In the back of my throat for me. No, I mean, like I read a lot of Isaac Asimov, probably the most famous rules of robotics.
Do you know the first one? Should not harm humans. Yeah, I think so. What's the next one?
I couldn't tell you the three rules I can't remember them. Never talk about Fyclo. Right? I think so.
I don't know. Ever had Phil K. Dick? No.
I think I appreciate his name, right? I feel like you just make a chin up right now. Do Andrew's dream electric sheet. Oh, yeah.
OK. Man, Blade Runner. Yeah, I know. I've never seen it.
I've never seen it. I've never seen Blade Runner. The most boring movie all the time. Yeah, I've seen it.
What? It's not that boring, dude. So when's the last time you saw it? It's been a minute.
It's really boring. I want to see the new one, though. I do too, because I'm like, mm, I hated the whole thing. Visually?
It's awesome. The old one is fantastic. I mean, just the ideas behind it. I think I interesting.
They're great. Yeah, so from an early age, pretty interesting robots. Yeah. What's your number one robot?
Who, number one? Like real life robot. Real life. Real life.
It's awesome. It was awesome. It was awesome. It started breaking.
It was an awesome junior year. It happens when those things break. They kill babies. They speak like a demon.
Do they really? Yeah, because the tape player in it started breaking. Oh, yeah. It starts slowing down.
Oh, that's tear-ton. Yep. Wow. They brought it back.
That's what I heard. I can't be as cool though, because it's like I have tapes. No, it's going to be like, yeah. It's super unimpressive.
I mean, yeah, but why didn't you just get me an Amazon Dot Mom? Animatronics are badass, but yeah, they're badass, but I mean kids that are going to be bored with them. This isn't in VR. Lame.
And in a country bear, Jamboree, it's another one that had animatronics. Oh, yeah, that was creepy too. So obviously when people start talking about AI and it's been pretty publicly talked about by Elon Musk and a lot of other smart guys, Stephen Hawking, you know, warning us against the dangers of basically creating our own downfall. Terminators?
Let's go ahead and say it. Unless we're afraid that they're going to hear us and come after us. Yeah, it's kind of. Let's talk about the logistics of that for a second.
Let's pretend that it's possible. Okay. AI is a real thing. Okay.
So we're going to talk about that quickly. It's all very new and exciting. We're not quite sure what the advantages and disadvantages are going to be. Well, former I can understand them.
It's going to be the whole Facebook thing. You heard about that. Oh, yeah. Yeah.
One one one one one me me me me one one me. Yeah, it's terrifying. I still want to talk about that. But I'm saying, how's it going to get to that level?
This is the same way I think of it. Like how are we going to get terminators out of a Facebook chatbot? Well, let's think of it this way. Like creating a deadly germ easily doable now.
Sure. No one's done it. Yeah. And if they have, they're not going to use it.
No one's going to be dumb enough. The only way SkyNet would get to where the movie term error would happen is if they let AI learning robots control like a factory, 100% let them do whatever they want like with no guidelines or rules. Like they're definitely going to be hard programming rules inside of robots. You would think so.
But I'm wondering because really for AI to advance to any sort of level, you know, if I don't cut out all my rambling earlier about machine learning, in order for them to even make advancements they've made, they had to, you know, kind of untether AI so that it could learn. But as long as they leave them untethered in a box, you know what I'm saying? Right. And then you're saying the infinite thinking robot to the internet.
Yeah, I think it's too late for that. They've already done that. Well, but then oh, you're saying like further on. Yeah, because that now, you know, like a factory that builds cars, the robots in the factory that build the cars are only designed to build cars.
Right. Like it's not like an AI robot could take it over and build a death machine. No. The only thing I think that could happen 3D printing.
Well, yeah, there's 3D printing. But okay, it's going to be a long, most people think push to what they call AGI or general intelligence. Meaning, you know, you can teach a super computer AI to win a game of chess, have a conversation, even be creative, come up with its own shit. And then you're teaching it to integrate all of those things.
Integrate all those things because, I mean, one of the most amazing things about the human mind is that we just are constantly learning stuff, whether we use it or not. Like based on my experience, I know that the blanket hanging behind you based on the way the texture looks visually, that it's probably thicker than the sheet to your left. Yeah. I'm not using that information.
Well, and also, you might see something. You go, oh, yeah, I remember Brent had that in his hand the other day. Right. Like you weren't physically going to definitely remember that.
And Brent, you know, like it was just something that your mind just files away automatically, but a computer can do that. It can't be able to tell that. It can't. It can already tell the thickness of these two legs are different.
And the amount of light coming to the back of them, it could tell from its texture. But the state we're at now, from what I understand, is the machine learning still takes 10,000 tries, even if it's teaching itself. But what's 2,000 tries to appear? A millisecond?
Yeah, you're right. How long does it take a human to learn something? Usually one try. No.
Yeah. Juggle. Okay. That's more than one task though.
Yeah, that's true. That's a hand-eye coordination. Like if muscle movement, there's a lot of things. Hey, how do I screw in this mic stand?
You watch me do it one time. You're like, oh, okay, I got it. But not necessarily, man. No, but in general, we can do it pretty quickly most of the time.
You're driving. You can't. Obviously you get, it's a learned response after a while and you have muscle memory. I guess my point is they're not at a point where AI can integrate multiple systems at the same time.
Yeah. Like it might have a pretty clever vocabulary or speech recognition or... Face recognition, but it doesn't have like a combination of that with an actual ability to articulate or create. Or just decide that it doesn't want to talk to you anymore and get up and walk out of the room.
Yeah, shut down. Right. It doesn't have any concept of risk and reward really. Well, that's how the machine learning is.
It's basically a fake risk and reward system. Yeah, which I think makes it even more dangerous. Oh, I mean, that's how they, whoever, when they design this, they go, how do humans learn? That's how we learn.
Sure. That's the only way we know how something learns. So let's make computers learn that way. I think that's one of the discussions about how ethically and it's probably why people like Musk and Bill Gates, Stephen Hawking are like, look, we gotta start thinking about this now.
Because it is still a ways off. But if you don't ethically decide how your programming makes decisions, there's always going to be someone who goes, fuck with those guys, I'm going to do what the fuck I want and you can't stop me. Or just, yeah, exactly. Or take the easy route.
Machine learning code from Google is open source right now. Yeah. So I mean, if you knew what you were doing, you could just start working on your own AI and your garage. Yeah.
I mean, people could do it. Oh, sure. Because, you know, what's preventing somebody that knows how to make a nuclear weapon from blowing us all up. Yeah.
Maybe they don't want to blow us all up. Maybe they don't want to blow us all up. Yeah, exactly. That's what I'm saying.
Like, and that's probably what's going to stop people from using AI in the same stupid way. So what we're talking about with Terminator is the only way I think that that's really dangerous is the general idea is that once I becomes conscious or sentient or self-aware, however you want to put that, you know, as smart as us singularity, not necessarily the humans are like, it's aware of what it is. Right. And it's limitations.
Right. Then it will, in theory, it makes sense. It'll start making itself more efficient. Well, forward, that's what you got to worry about then.
It's not if the computer can't know its limitations. If it knows its limitations, it's going to push the boundaries of those limitations. Right. And it's going to solve the problems of those limitations much faster than we ever could.
Yeah. Much faster than we can basically put up blockers to stop it. So it's like, if you could somehow hide its own limitations from itself. Right.
So we could think about how close our next closest relative to the monkey was, how advanced do you think that we're not that advanced? We'll see what I'm thinking of as one fifth dimensional object. Like, it could be here and we'd know it. Just like, it has those rules just physically can't see it.
It doesn't even feel like you jumped off into a pool of something else. Yeah. One hundred per second. Fifth dimension.
But you know what I'm saying? It's like the computer doesn't even know that there's a rule there to stop it from doing that. Right. Or if you rewrite it.
Well, basically a computer's walking and we don't want it to walk. A computer's walking. A robot's walking. But we don't want to walk past this line.
Right. So the computer, because that line is the end of everything. Right. That's just based on its experience.
That's why I was trying to make the correlation. What happened to the early man? Like, early man would say, well, my limitation is, you know, I've got to, you know, on my back or in a bag of some kind. And when the wheels created and they could realize they can make containers, like things jump forward.
But they were aware of that limitation, whereas we need to make the robot like as if it exists. Well, then it's not going to. I know. It's the only thing, the only thing limiting its creation thus far is just our inability to get it past certain things, like, you know, taking so long to figure something out or, you know, multiple systems at the same time.
And I don't mean like in a full like Android, like, this or a million. I mean, like be able to do handout coordination with this, with that while thinking of something that you learned a year ago. Right. All these different factors, all the inputs.
But try to bring it back to Terminator. The reason why I think that it would even be possible is that once it reaches a conscious level, the theory or the hypothesis is that it will start learning exponentially. Yeah. Meaning far quicker than we've developed computers so far.
Which hasn't really been very slow. The computer's going to grow exponentially. Yeah, that's Moore's law. Yeah.
So the machine's going to learn in that same curve, I would think. Probably faster because. Yeah, because what is the computer invented for in the first place is to compute, to compute, you know, equations. Is that right?
Is that where it's actually? Yeah, it's where. You know, equations and, you know, figures that we can't comprehend ourselves, you know, and like you said in milliseconds. So I'm thinking the danger is they're going to get smarter than us pretty quickly.
Well, they're already going to stuff. I don't think they're going to avoid us initially. There's going to be, like you said, some stop gaps. Okay.
Well, you can be really smart at something. You know, you can understand like, you know, how anti-clock's work really well. You know, much better than we ever could. But you know what I'm saying?
Like once it starts learning so fast, we're going to abuse that from a military standpoint. Well, I mean, they probably already are. If we have good AI, what does a military have? Oh, yeah.
Those dudes like, who's it? DARPA? I mean, computers already create things that we don't know how they even work. Right.
So my point is we're going to use that superior intellect. Because I think that's what's mostly the danger is the superior intellect. We're going to abuse the machine's ability to solve problems that we can't. Because eventually, it's going to be so much smarter than we are.
Who was it? Somebody brought up, I don't even know how the game's played, that go game? Yeah, yeah. You know what I'm saying?
Yeah, it's like a Chinese game that within six months, it went from kind of being pretty good, but it still beat him to like after the fifth game and six months later, the guys like, it's impossible. Like, I can't even fathom it. It's never beat him. By the time you make that first move, it's already won the game.
Right. It already knows every possibility. Right. Well, so that's my point.