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Are you going to the moon, Prime?

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No, I'm not going to the moon, but I have.

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Dang it.

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That was the thing I announced to Trash earlier.

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Going to the moon, SpaceX sponsorship.

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That'd be an insane sponsorship.

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You're going to stream from the moon.

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Starlink.

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Let's work that out, TJ.

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Also, I like imagining that they picked us.

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They're like of all the people they could send to the moon.

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Probably Prime and Teej would probably do the funniest stream from the moon.

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Yeah.

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It's like, it'd basically be like, Prime is right in the middle of one small step for man, one giant leap for mankind, and like Riverside would like, and Teej would interrupt, and Riverside would rearrange all the windows.

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It's like, okay.

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It's one small step.

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Yeah, real small step, Prime.

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Look how tight those little legs are.

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They're like, shut up, man.

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I'm doing my speech.

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Try taking a bigger step, bro.

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Like, what?

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Yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah, yeah.

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Uh, anyways, sorry.

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Can a man get started today?

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Yeah.

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Big shout out to Big Z.

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She sent me some snacks today.

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Thanks, Lindsey.

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Thanks, Lindsey.

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Bought a Sour Patch Kids and Cooler Ranch Doritos.

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Now, Trash, that seems kind of like a pretty basic snack pool.

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Like, how does that make you feel?

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Like, is it pretty basic?

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Do you feel like...

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That's what I asked for.

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The classic.

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It's a classic.

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It's a classic.

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Those are his staple food groups, Prime.

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That's like the basis of his diet.

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I got my fruits.

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I got my fruits.

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I got my grains.

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Fruits and vegetables.

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Ancient grains.

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Liquid.

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It's water.

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I'm drinking water at least, so that's good.

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Wow, you're drinking water.

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Prime, what are you drinking today?

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I am drinking water with a little bit of a very special Chinese formula.

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Because I brought my coffee.

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Wait, TJ, is that, wait, did you actually put a liter and a half of coffee in there?

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Because that looks like the big boy.

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It is a liter and a half, isn't it?

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I did a whole Karath just to bring this today because I knew you were going to have a stupidly large mason jar.

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I got to bust out my mason jars now.

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I know, but now that's, yours is like stupidly large for coffee.

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That's way larger.

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All right, hey, shall we get started?

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We could.

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Yeah.

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All right, welcome to the stand-up.

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Today we have a very special guest who's on here every single week, Casey Miratory, legendary game dev, giving us a presentation.

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And also, he did have a brief blocker at the beginning.

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And I was wondering, I actually put these both in progress, so we're doing them at the same time.

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I was just wondering if you can recall the brief blocker, Casey, that you had.

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Yeah.

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Gosh, do I recall the brief blocker that I had?

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I probably have to go look back at the Discord and hope that I typed it in there because I never remember.

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Okay.

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While you do that, I will say that this is the – Oh, Dax's credit card fraud.

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Was it Dax's credit card fraud?

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Yes.

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I love saying it.

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Dax's credit card fraud is awesome.

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Dax's credit card fraud.

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Let's go.

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Yeah, so I was feeling this so, like, I was perfectly in empathy with Dax on this because he posted, like, a screenshot of their Stripe, you know, they had, like, here's what our Stripe blocked payments was, right?

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And he's like, this is larger, like, than the entire, like, revenue of the company.

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Can I throw something out there really quickly?

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dax runs a company called open code which has yes something like 15 million reoccurring users per month or whatever the average monthly users or average weekly users i can't remember it's a very large number and he's been battling credit card fraud and he's been posting numbers of exactly how much fraud he has and this is when casey is like i gotta say something

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Yeah, and, like, it was, you know, the number was, like, over $300 million of just, like, blocked fraudulent payments.

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And it wasn't, that wasn't, like, this year.

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That was, like, I don't remember what it was.

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It was, like, a week or a month or a day or whatever.

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It was yesterday.

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It was, like, yesterday.

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It was ridiculous, right?

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It was completely out of control.

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If you're anything like me, you have a bunch of ideas, but perhaps you're a bit disorganized.

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So often I find myself having a long brainstorming session.

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But at the end of it, I just have a big markdown file.

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And then, of course, at that point, I've lost everything.

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Hey, stop doing that.

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You got to check out Linear and use the Linear MCP.

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I have a big conversation.

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I come up with a bunch of ideas.

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And at the end, I get a set of tickets that are actually all the things that I need to do.

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And when I don't know what to work on, I go, hey, agent, go to Linear and tell me what I need to do next.

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And it will find exactly what I need to work on.

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This has been so successful for me that I'm in actual serious danger of completing a project.

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Go to linear.app slash terminal and get six months for free on Linear.

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Thank you for supporting the channel and thank you, Linear, for sponsoring the video.

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The reason I find this so absurd is because everyone...

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no matter how small or large your business is, knows that this is an absurd problem, that people can just take credit cards and put them into a form, and then that actually just shows up as a charge.

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And that then, when it turns out to be fraudulent, which of course it will a bunch of times because there's no safeguards on it,

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you are responsible for dealing with that.

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And there's two ways that you're responsible for dealing with that.

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Either one, you have to pay extra money to someone like Stripe, significant amounts of extra money for them to try and block it for you.

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They actually charge you differently now too, based on how good you want the blocking to be.

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So it's like a closet, I swear.

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I swear to God, I'm not making that up.

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I did not know this.

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That's insane.

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That's insane.

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That's what medium effort blocking.

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Well, it's like the reasoning effort for your LLMs.

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Well, maybe I can, I mean, you know, just really briefly here, I might actually have the actual verbiage that they use to announce this, because I remember reading it pretty, oh yeah, here it is.

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It's an email that I got from them.

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It says, introducing new Stripe radar plans and pricing.

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As fraud on the internet has accelerated over the past few years, we've been rapidly adding to Radar, our fraud prevention product.

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Last year, we blocked $110 billion in fraud and shipped dozens of new features.

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With so much new functionality, we're introducing four tiers, light, standard, plus, and pro, and updated pricing.

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So you actually have four choices with how much fraud do you want, I guess.

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And you get to pay Stripe based on how much you want them to prevent it.

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Now, to me, this is absurd because the entire point of the payment base layer, which is not Stripe, by the way.

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Stripe is like one above the payment base layer like Visa and MasterCard.

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It's a payment aggregator.

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Exactly.

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They're a payment processor that handles all the other stuff for you.

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Essentially, Visa and MasterCard is doing nothing.

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There shouldn't be basically any fraud.

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They should have designed a secure system that makes it so that it's highly unlikely, that you have to be literally social engineered in person or something, right?

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Yeah.

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To have this kind of thing happen.

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But like at least in the US, I know, I think Europe actually does this a lot better.

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They have a lot more direct like pin based stuff or where you have a bank app that you use to like approve it and things.

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But in the US, you know, we have like two factor authentication for stuff like your Twitter login, but your credit card, zero factor authentication.

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It's just type in the number.

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That's it.

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You can type in the number and the date and the CVV.

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You get the money.

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Right.

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And the only thing stopping you from committing that credit card fraud is basically a bunch of machine learning that sits on top of that at some place like Stripe and goes, hmm, OK, like based on the IP address of this person, do I think it's that person or not?

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I can say from experience.

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of running a not particularly large company, certainly nowhere the size of DAX is, that we still get tons of fraud that gets through Stripe.

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So not like, and so DAX also does.

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Like if they're seeing that level of fraud that Stripe blocked, they are seeing not that much, but they are seeing a level that Stripe did not block, that they then are on the hook for is,

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And they pay fees like there's the they actually charge you charge you when someone does a fraudulent payment to you that gets passed through to you as a basically chargeback.

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I know what you call it penalty, if you will.

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This system sucks.

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It needs to be fixed.

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And it really, I don't think it's acceptable that people are now making businesses out of charging you to fix what is a completely broken payment system instead of someone actually fixing the broken payment system, which you, by the way, pay constantly because Visa and MasterCard are doing just fine.

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Right.

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So, Casey, I don't know if you've heard of it, but there's this little thing called cryptocurrency.

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I've got a few coins that I think are going to solve the exact problems that you're looking for.

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My primary one, Teej coin.

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I think it's – speaking of going to the moon, am I right?

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Am I right, boys?

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Let's pump it.

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Nice callback right there.

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It is kind of absurd that we live in a system that the only solution is, I don't know.

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Good luck.

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Good luck.

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Yeah.

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Or crypto.

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Or like, I don't know, try some random cryptocurrency and hope that you're in.

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And that's an adoption problem, right, too, where it's like the problem is none of your customers do that.

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Right.

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They don't.

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They don't have like they don't have Teejcoin.

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I know we all want them to have Teejcoin.

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I want Teejcoin.

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OK. Teej hasn't even said Teejcoin to me.

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World coin?

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World coin.

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Wow, that's really a throwback.

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Yeah.

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That is.

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Is that still a thing?

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So, yeah.

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Yes.

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Yes.

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Anyway, two of Sam Altman's adventure.

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Anyway, that's just a blocker rant because it's not getting fixed.

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It's pretty clear that we're just like because too many people are just like sort of siphoning money off of that system now that like they don't want to fix it.

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And I don't know why other I guess no one else has a big enough coalition to basically like because the government could solve this pretty quickly.

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They just passed a law that was like you can't pass on like you.

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You eat the fraud.

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right like payment payment processors eat the fraud then this would get fixed overnight that would be the end like there'd be no more you can just type in a credit card as soon as visa and mastercard were on the hook for that then that's over right yes because it'd be inconvenient for us because we get passed on with some sort of like hey is this really you type of yes thing but at least i would like i was charged two thousand dollars like two weeks ago with someone fraudulently figuring out one of our credit cards and it's just like it's absurd i have never shopped at this place ever yeah how is this happening

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And then the place is just like, well, you know, you shouldn't have done that.

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And I'm like, I didn't do anything.

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What'd you get, Prime?

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What'd you order?

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A bunch of like, it wasn't Timu, but it was something like Timu.

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It was like $2,000 of Timu.

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And I was just like, bro, we have never stopped there in our life.

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That's everything on Timu.

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What am I going to do with everything on Timu for $2,000?

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You could buy the entire warehouse.

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You could practically buy the company for $2,000.

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Yeah.

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Yeah.

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Anyway, that's the only blocker.

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Not much to say.

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But yeah, I mean, what what Dax is experiencing at a large scale, everyone else is experiencing at a smaller scale is, I guess, what I would say.

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And I have to feel particularly bad for specifically AI companies, because AI companies also, if a scammer can get through, they can then go on to perform more sophisticated scams.

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So it is like it is the like honeypot of all scammers are companies.

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And so they have to have like harder.

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You know, when they're talking about the 100x engineer, they're getting the 100x scammers coming to them.

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I wonder how many times it's happened that somebody used a fraudulent credit card to bootstrap their AI processes to control.

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harvest more credit cards and fish more people which they can then use to then buy more and so it's just this nice virtuous cycle it ends up taking up all of anthropics like like data centers with fraud yeah there there's definitely like an underwear gnome thing or a sock gnome or whatever it was i think it's underwear i can't remember from uh south park underpants gnome

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hack ai to be able to like get more credit cards get more credit cards to hack and they're like then what well we'll then do that and then profit it's just like when does it happen though it's gonna happen it's there's well it happens when they charge two thousand dollars finally and get their team who items from you yeah that's true i got team mood prime can we go over my blockers that you skipped last time with dhh

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Okay, I did not know you had blockers, nor do I... Did you put them on the linear board?

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Rude, prime.

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They were literally on there.

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You looked at them, and then you just went straight to your only one, and then not to mine.

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Just to really make sure that we're on the same team.

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Drama.

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Oh, okay.

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Yeah, that's true.

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I know, drama.

225
00:13:17.069 --> 00:13:18.990
Can you right now put them to in progress?

226
00:13:19.690 --> 00:13:26.993
If we even have a team at this point, based on that lack of cohesion, and I didn't like that at all.

227
00:13:27.433 --> 00:13:28.734
The co-CEOs are fighting.

228
00:13:29.054 --> 00:13:32.301
Mostly it's just because I had a joke, two jokes that I really wanted to do.

229
00:13:32.321 --> 00:13:33.042
It doesn't really matter.

230
00:13:33.082 --> 00:13:39.936
The first one was I was going to ask DHH for watch advice, and then after he gave me some advice, I was hoping that at some point he was going to ask

231
00:13:40.922 --> 00:13:42.704
why did I want his advice?

232
00:13:42.945 --> 00:13:44.787
And I was saying, I just figured it's time.

233
00:13:45.468 --> 00:13:48.371
That was the first one that I really wanted.

234
00:13:48.391 --> 00:13:49.933
That's pretty good.

235
00:13:50.434 --> 00:13:54.699
And then since he's been showing off cars, I just wanted to show off a cool Lego car that my son built.

236
00:13:54.759 --> 00:13:55.280
So that was it.

237
00:13:55.780 --> 00:13:56.781
This is a Spider-Man.

238
00:13:56.861 --> 00:13:57.482
Is that Spider-Man?

239
00:13:58.043 --> 00:13:58.263
Yeah.

240
00:13:58.303 --> 00:13:59.405
It's a one of one, you know?

241
00:14:00.072 --> 00:14:04.156
So that was all, but I just at least wanted to, I wanted to get those out into the universe.

242
00:14:04.196 --> 00:14:06.518
I don't know the next time that I'm going to get to do the watch joke.

243
00:14:06.538 --> 00:14:11.643
And I really didn't want it to get lost apparently in several different linear boards that we're not communicating about.

244
00:14:11.663 --> 00:14:13.965
So that's well, TJ, you're kind of out of time on those jokes.

245
00:14:13.985 --> 00:14:15.447
So we're just going to move forward.

246
00:14:16.147 --> 00:14:38.282
oh i know yeah by the way prime i should also thank you uh i retold that orange head joke that you and i love it i love it trash we have to tell you offline it cannot be repeated online because it defeats the purpose of the joke it's an inside joke it's an inside joke

247
00:14:39.584 --> 00:14:40.365
And it gets funnier.

248
00:14:40.425 --> 00:14:47.396
If you can find one person that's already heard the joke and they get to be a part of you telling it a second time, it is exponentially more funny.

249
00:14:47.982 --> 00:14:49.002
okay, I didn't know that.

250
00:14:49.062 --> 00:14:50.423
I guess I'll have to do that.

251
00:14:50.443 --> 00:14:54.804
Because they start seeing it coming and they start seeing the person's face where they're like, and then?

252
00:14:54.824 --> 00:14:56.144
Yeah, yeah, yeah.

253
00:14:56.184 --> 00:14:58.444
And then they realize how funny it actually is.

254
00:14:58.504 --> 00:15:00.225
And then it just turns, it just is painful.

255
00:15:00.665 --> 00:15:03.766
I think the best part of the joke too is I don't even understand why it's funny.

256
00:15:03.946 --> 00:15:04.546
It just is.

257
00:15:04.746 --> 00:15:07.426
Like I sort of get it, but not really.

258
00:15:07.466 --> 00:15:09.907
Like I'm like, this really shouldn't be that funny, but it really is.

259
00:15:10.887 --> 00:15:14.188
I think the totality of the joke is that

260
00:15:14.768 --> 00:15:16.770
Man has an insatiable need for more.

261
00:15:17.231 --> 00:15:19.153
I think it's like the theoretical joke.

262
00:15:19.173 --> 00:15:20.374
But it's just so funny.

263
00:15:20.734 --> 00:15:21.515
It's not coming.

264
00:15:23.137 --> 00:15:28.082
By the way, if you see me in person, you can ask me about the man with an orange forehead, and I'll be glad to talk to you.

265
00:15:28.122 --> 00:15:28.702
All right.

266
00:15:29.003 --> 00:15:29.363
Anyway.

267
00:15:30.985 --> 00:15:31.865
Casey, I'm not joking you.

268
00:15:32.146 --> 00:15:36.170
When Prime first did that, I think the TwitchCon, I don't remember which TwitchCon it was.

269
00:15:36.810 --> 00:15:37.892
I think I heard the joke.

270
00:15:38.880 --> 00:16:07.414
15 plus times but tj tell me that there wasn't a point where people were sweating laughing while one person did not know the punch line there was there was times where people were like no no i'm not saying i didn't enjoy the experience i just want to let you know when prime saying multiple times he's not saying oh maybe you get to three over one conference he's talking double digit numbers otherwise it's kind of a rookie situation you have to because you need people that have already heard it because then it gets exponentially more funny

271
00:16:09.572 --> 00:16:11.633
All right, Casey, you're on now time.

272
00:16:11.673 --> 00:16:12.973
Okay, let me do a little intro here.

273
00:16:13.513 --> 00:16:15.313
All right, welcome to the stand-up.

274
00:16:15.333 --> 00:16:30.977
Today we have asked legendary game programmer Casey Miratori to give us an amazing presentation, and what he's going to do is going to give us a glimpse of the root of the root of all evil is pre-optimized performance.

275
00:16:30.997 --> 00:16:32.217
Dang it, I can't even remember the title.

276
00:16:32.237 --> 00:16:33.198
It's too many, too many prefaces.

277
00:16:33.218 --> 00:16:33.778
You really crushed it.

278
00:16:34.579 --> 00:16:34.879
Thank you.

279
00:16:34.899 --> 00:16:35.719
I'm crushing it.

280
00:16:35.739 --> 00:16:44.482
I was also going to say, Prime, I mean, I think we need at this point probably add computer historian to Casey's repertoire.

281
00:16:44.622 --> 00:16:45.662
At this point, maybe.

282
00:16:45.682 --> 00:16:46.382
I think so.

283
00:16:46.403 --> 00:16:46.663
I agree.

284
00:16:46.683 --> 00:16:46.903
Yeah.

285
00:16:47.003 --> 00:16:48.223
All right.

286
00:16:48.683 --> 00:16:50.724
Occasional computer historian, perhaps.

287
00:16:50.924 --> 00:16:51.124
Yeah.

288
00:16:51.164 --> 00:16:51.404
Okay.

289
00:16:51.844 --> 00:17:01.107
Today we have with us legendary game programmer and competent and very insightful computer historian, Casey Muratori.

290
00:17:02.357 --> 00:17:03.417
I love the legendary.

291
00:17:03.858 --> 00:17:08.179
Like, it's not legendary at all, but now you have made it a thing.

292
00:17:08.359 --> 00:17:11.580
And under my videos, people now put legendary.

293
00:17:11.720 --> 00:17:15.921
You got to change your surname.

294
00:17:15.961 --> 00:17:17.081
Wait, wait.

295
00:17:17.681 --> 00:17:19.422
Chat, can you guys search Casey on Google?

296
00:17:19.502 --> 00:17:21.602
Okay, well, I don't know what the legend is.

297
00:17:21.622 --> 00:17:22.623
There's no legends.

298
00:17:22.903 --> 00:17:24.203
There's not a single legend.

299
00:17:24.883 --> 00:17:25.223
Anyway.

300
00:17:26.864 --> 00:17:28.584
Chat, we have the funniest thing we can do.

301
00:17:28.604 --> 00:17:29.805
You know AI overviews?

302
00:17:30.285 --> 00:17:31.245
If we keep this up.

303
00:17:31.766 --> 00:17:32.387
Oh, no.

304
00:17:32.407 --> 00:17:35.213
AI Overview will be a legendary game.

305
00:17:35.333 --> 00:17:36.235
I'll spin up some bots.

306
00:17:36.255 --> 00:17:37.277
That's what I want to see.

307
00:17:37.518 --> 00:17:38.580
Yeah, that's what I want to see.

308
00:17:38.620 --> 00:17:39.582
Everybody, spin up your bots.

309
00:17:39.742 --> 00:17:39.903
Yeah.

310
00:17:40.676 --> 00:17:46.341
So the legend is about how I started being called legendary.

311
00:17:46.381 --> 00:17:48.463
That's the actual only legend.

312
00:17:48.483 --> 00:17:48.823
I like it.

313
00:17:49.364 --> 00:17:53.587
And that will be an actual legend since people have to explain it because it doesn't make any sense.

314
00:17:54.028 --> 00:17:55.289
Anyway, yeah.

315
00:17:55.369 --> 00:18:04.637
So a lot of people last year saw that big oops talk that I did because for some reason it was very popular, which was just luck, I guess.

316
00:18:05.137 --> 00:18:05.958
Because it's very long.

317
00:18:07.078 --> 00:18:08.819
it's very long and I wasn't expecting that.

318
00:18:08.859 --> 00:18:11.839
So just like, I don't know, people were in the mood for a longer thing.

319
00:18:11.879 --> 00:18:12.459
So that was cool.

320
00:18:13.099 --> 00:18:14.640
And so a lot of people watched the big oops.

321
00:18:15.140 --> 00:18:18.901
That was my Better Software Conference 2025 talk.

322
00:18:19.401 --> 00:18:24.202
So for Better Software Conference 2026, I just wanted to do one more of those.

323
00:18:24.242 --> 00:18:25.582
They're very hard to do.

324
00:18:25.902 --> 00:18:27.322
I think I've talked about this before.

325
00:18:27.742 --> 00:18:29.363
You have to just read a tremendous amount.

326
00:18:29.543 --> 00:18:29.643
And

327
00:18:30.263 --> 00:18:36.451
you have to condense things down so dramatically that like you're leaving most of the things out.

328
00:18:37.192 --> 00:18:39.476
You know, a lot of people ask me like, why didn't you talk about X or this, that?

329
00:18:39.496 --> 00:18:43.301
And I'm like, because, bro, there is so much stuff you can't talk about.

330
00:18:43.441 --> 00:18:45.984
Even spending two hours, there's just...

331
00:18:46.605 --> 00:18:50.088
I mean, it was thousands of pages of documentation.

332
00:18:50.488 --> 00:18:52.349
Everything had interesting stuff in it.

333
00:18:52.430 --> 00:18:54.951
I mean, computer history is just chock full of things.

334
00:18:55.512 --> 00:19:01.236
It's hard to get through a single paper without being like, wow, this would be cool to talk about, but just doesn't fit here or whatever.

335
00:19:02.077 --> 00:19:02.557
So anyway...

336
00:19:03.983 --> 00:19:12.872
So this year I wanted to do one more of those, and it was on the phrase, premature optimization is the root of all evil.

337
00:19:13.953 --> 00:19:24.383
And the reason I wanted to do that one is because before I started researching it a while ago, I actually didn't really know the circumstances around the sort of like...

338
00:19:24.703 --> 00:19:31.955
First times it was committed to page, if you will, like written into an article or had examples shown about it.

339
00:19:32.536 --> 00:19:33.778
And I kind of wanted to go.

340
00:19:33.798 --> 00:19:38.565
I knew about the original sort of citing in the Knuth paper paper.

341
00:19:39.518 --> 00:19:41.359
sort of the first paper anyone wrote that has it in.

342
00:19:41.399 --> 00:19:45.423
Knuth actually said it according to a transcript.

343
00:19:45.443 --> 00:19:52.828
He said it in a lecture slightly before that paper was printed, but the paper's manuscript had already been submitted at the time.

344
00:19:52.848 --> 00:19:57.051
So this is like the first time it would have ever really been committed to paper, as far as I know.

345
00:19:58.132 --> 00:20:01.055
Obviously, people probably were saying it before that, but anyway.

346
00:20:01.135 --> 00:20:01.355
Yeah.

347
00:20:02.073 --> 00:20:07.637
So I wanted to find out more about like why it got said, like why would someone like Knuth write it down?

348
00:20:07.957 --> 00:20:10.239
You know, what was going on at that time period?

349
00:20:10.419 --> 00:20:14.122
I just kind of wanted to get it more than I did because I just didn't really know.

350
00:20:14.202 --> 00:20:16.904
And I obviously know Knuth's like research.

351
00:20:16.944 --> 00:20:20.747
I know he has the Art of Computer Programming series and a lot of other books.

352
00:20:20.767 --> 00:20:24.029
He has a street math book and all these like publications, all that stuff.

353
00:20:24.049 --> 00:20:27.132
But I never really like knew much about his history and,

354
00:20:27.972 --> 00:20:37.636
And so I kind of started like looking into all of that and kind of found this whole story about structured programming and what was going on at the time that I found really educational.

355
00:20:37.676 --> 00:20:42.578
So really the talk is just an attempt to kind of share that point in history.

356
00:20:42.938 --> 00:20:50.862
It's like, here's kind of what they were thinking about, what they were tackling, what professors like Knuth were looking at at that time.

357
00:20:51.422 --> 00:20:53.543
And once you kind of know all that,

358
00:20:53.983 --> 00:20:59.066
I think it puts the phrase in much better perspective about what like it actually means.

359
00:20:59.226 --> 00:21:04.269
It's like a really much more tangible way you can relate to the phrase.

360
00:21:04.609 --> 00:21:07.311
So anyway, that's what the lecture is.

361
00:21:08.691 --> 00:21:20.218
And it's exactly like the big oops where I, you know, I use pretty much exclusively excerpts from source material to kind of like give you a sense of everything that was going on and who is involved and all this other stuff.

362
00:21:21.109 --> 00:21:22.834
So that's up now.

363
00:21:22.954 --> 00:21:23.897
The VOD is up.

364
00:21:24.178 --> 00:21:29.031
You can get to it easily if you just go to computerenhanced.com slash the root.

365
00:21:30.542 --> 00:21:31.923
All one word, the root.

366
00:21:31.964 --> 00:21:33.385
It will take you directly there.

367
00:21:33.825 --> 00:21:40.372
And I have a page where it's got the YouTube video of the talk and then references hyperlinked.

368
00:21:40.732 --> 00:21:44.857
So you can actually like any of the slides that you see.

369
00:21:44.977 --> 00:21:46.859
If you're like, I want to read more of that.

370
00:21:47.620 --> 00:21:48.721
I'd like to see the original.

371
00:21:49.481 --> 00:21:51.724
They're all hyperlinked on that page.

372
00:21:51.744 --> 00:21:53.405
You can just click through and get them.

373
00:21:54.426 --> 00:21:55.627
and read the original references.

374
00:21:56.008 --> 00:21:59.311
Sometimes they're paywalled because they're at like, you know, it was an institute.

375
00:22:00.111 --> 00:22:05.436
Like, you know, it's IEEE's like, you know, publication that isn't available for free currently or whatever.

376
00:22:05.456 --> 00:22:17.166
So but most of the time there there's just a freely available PDF that the author has posted or whatever, or that journalist is out of out of print for so long that it's just on, you know, they just put their archives online.

377
00:22:17.226 --> 00:22:17.387
Casey.

378
00:22:17.407 --> 00:22:17.747
Casey.

379
00:22:17.907 --> 00:22:20.268
You know that you could... Oh, never mind.

380
00:22:20.448 --> 00:22:21.629
Never mind my joke.

381
00:22:21.649 --> 00:22:22.990
I just realized completely doesn't work.

382
00:22:23.010 --> 00:22:23.550
Keep on going.

383
00:22:23.630 --> 00:22:24.391
Prime, we can fix it in post.

384
00:22:24.451 --> 00:22:25.211
I have an actual question.

385
00:22:25.231 --> 00:22:26.192
Josh, definitely leave it in.

386
00:22:26.492 --> 00:22:27.192
Prime, go again.

387
00:22:28.073 --> 00:22:37.698
No, no, I can't because I thought computer enhance was CH for abbreviating it or for initializing it, but then I realized there's the EN because then it could have been CH root.

388
00:22:38.358 --> 00:22:39.858
It could have been Chirrut.

389
00:22:40.138 --> 00:22:40.598
Oh, yeah.

390
00:22:40.618 --> 00:22:42.979
It would have been so awesome, but then I realized I'm an idiot.

391
00:22:42.999 --> 00:22:44.739
I need to capitalize that.

392
00:22:44.759 --> 00:22:48.840
It used to be like computer enhance with like a big H and then it can.

393
00:22:48.860 --> 00:22:49.880
Computer enhance.

394
00:22:49.900 --> 00:22:51.401
What are you going to say, Trash?

395
00:22:51.681 --> 00:22:52.081
Trash.

396
00:22:52.101 --> 00:22:53.081
Trash.

397
00:22:53.121 --> 00:22:53.621
Real question.

398
00:22:53.701 --> 00:23:02.883
What does, for these long talks, like how many hours does it take to, like, what's the level of effort that you're going through to make these long talks?

399
00:23:04.076 --> 00:23:06.219
Way too much, I guess is what I'd say.

400
00:23:06.379 --> 00:23:07.741
Typically, I do like...

401
00:23:07.982 --> 00:23:15.252
Typically, the idea or basis research comes from something I happened to do earlier.

402
00:23:15.332 --> 00:23:17.495
So like a year or two ago or something like that.

403
00:23:18.036 --> 00:23:19.017
And then I spend...

404
00:23:19.938 --> 00:23:30.570
It's just like, I don't know, maybe like two weeks of 16 hour days, like straight, just going through all the material, clipping it out.

405
00:23:30.650 --> 00:23:33.373
It's like because I can't afford to spend that much time on them.

406
00:23:33.914 --> 00:23:40.621
And I have to go through so much history that it's just it's it's really brutal because then just going back and, you know.

407
00:23:41.708 --> 00:23:49.270
going through all the papers again, finding new papers, answering questions that are like, oh, what about this part?

408
00:23:49.670 --> 00:23:50.631
Where's that reference?

409
00:23:50.671 --> 00:23:51.931
Or why did this person do this?

410
00:23:51.951 --> 00:23:52.811
Can I find something?

411
00:23:53.551 --> 00:23:55.412
And so it's really, really brutal.

412
00:23:55.712 --> 00:23:57.192
And I don't recommend it.

413
00:23:58.973 --> 00:24:01.934
I don't recommend it at all to anyone.

414
00:24:02.014 --> 00:24:06.155
My rule of thumb has always been 40 hours per hour when it comes to a conference talk.

415
00:24:08.519 --> 00:24:10.039
Yours sounds even higher.

416
00:24:10.580 --> 00:24:17.144
It's higher than that just because of the nature of the work, because of how much reading is involved.

417
00:24:17.364 --> 00:24:27.930
And I think, you know, one of the things that I sort of talked about with Dimitri, because we do that AI podcast, and we do an episode coming out later,

418
00:24:28.610 --> 00:24:34.331
where I, I sent him like a paragraph describing like the research.

419
00:24:34.991 --> 00:24:41.493
Uh, and I was like, Dimitri have the, have the AIs do it and we'll compare them like afterwards on an episode.

420
00:24:41.513 --> 00:24:43.873
We'll go through it and see like how they did.

421
00:24:44.353 --> 00:24:47.294
Cause it was going to be like a, kind of a shoot down, uh, episode, right.

422
00:24:47.314 --> 00:24:49.594
Where we go like, here's what Anthropic got.

423
00:24:49.634 --> 00:24:51.435
Here's what open AI got.

424
00:24:51.495 --> 00:24:52.495
Here's what Gemini got.

425
00:24:52.515 --> 00:24:54.655
Cause now I know the thing like backwards and forwards.

426
00:24:54.715 --> 00:24:58.336
I can kind of be like, who, who did what, when and how, uh,

427
00:24:59.849 --> 00:25:04.343
And like, one thing I was thinking about on that episode too was just...

428
00:25:05.873 --> 00:25:08.435
I don't know how you speed this process up.

429
00:25:08.875 --> 00:25:25.929
You can't really outsource it to an AI or something like that, or even a research assistant, because the valuable part is you exploring the text without a preconceived notion of like what the questions are that you want to have answered, right?

430
00:25:26.389 --> 00:25:31.153
And so it's kind of this, it's this really difficult problem of making a talk like this

431
00:25:31.813 --> 00:25:38.443
It's the value comes from you immersing yourself in the material, not from answering a particular question.

432
00:25:39.004 --> 00:25:42.549
And so it's very hard also to figure out how you would accelerate it.

433
00:25:42.689 --> 00:25:47.196
Like using AI, using assistance, using whatever, I just...

434
00:25:48.193 --> 00:25:50.934
It's it's not really I don't know.

435
00:25:51.034 --> 00:25:54.155
It just kind of is a long process is I guess all I would say.

436
00:25:54.555 --> 00:26:00.857
And so I've been I've been trying to do that as well, seeing if I can like can I do research and all that.

437
00:26:00.897 --> 00:26:06.259
And then at the end of the time, after spending, you know, three hours getting research from an AI, I go, oh, shit, I have to read the paper anyways.

438
00:26:06.519 --> 00:26:08.800
And so then I just go read it like either way.

439
00:26:08.860 --> 00:26:15.981
And so now I just like, well, I can't say this thing because I don't even actually know how accurate it is or if it really is the like the thing I'm thinking.

440
00:26:16.441 --> 00:26:17.822
And so then.

441
00:26:17.962 --> 00:26:29.724
And I wouldn't like I don't want to say it too strongly because since I haven't tried actually using AI to prepare a talk like this, I don't know if maybe like you could come up with a workflow that sort of works.

442
00:26:30.004 --> 00:26:30.144
Yeah.

443
00:26:30.404 --> 00:26:32.985
But in my experience, like, you know, you.

444
00:26:33.725 --> 00:26:40.452
Doing reading all of the papers yourself, like all the stuff you find is so valuable and you never knew you were looking for that.

445
00:26:40.713 --> 00:26:40.953
Right.

446
00:26:41.914 --> 00:26:46.779
And so that's just that's the tough part about it is it's all about that happenstance, the exploration.

447
00:26:47.239 --> 00:26:48.301
I really enjoy it.

448
00:26:48.381 --> 00:26:52.004
It's just the time pressure is so brutal.

449
00:26:52.024 --> 00:26:52.365
Mm hmm.

450
00:26:52.725 --> 00:26:54.926
And I never get a chance to rehearse these talks either.

451
00:26:55.046 --> 00:27:05.891
So I just have to get up and give the talk just from the slides that I ended up with that were done just before I get up there, right?

452
00:27:06.111 --> 00:27:08.232
Because I'm constantly making modifications.

453
00:27:08.752 --> 00:27:12.854
And so it's a really grueling experience is I guess what I would say.

454
00:27:14.195 --> 00:27:15.715
So this is probably it.

455
00:27:15.795 --> 00:27:17.796
Those are probably the two that I'm ever going to do.

456
00:27:18.597 --> 00:27:21.658
But I certainly learned a ton when I was doing it.

457
00:27:23.435 --> 00:27:37.425
I think the stuff for me that I found helpful using AI for it is like finding original sources for stuff, which like if you have papers already as a starting point, then you can use those and you could literally read them through.

458
00:27:37.445 --> 00:27:39.266
But sometimes you're like, I don't even know.

459
00:27:39.606 --> 00:27:42.108
Can you like find anything to read?

460
00:27:42.288 --> 00:27:43.329
Like that's very helpful.

461
00:27:43.849 --> 00:27:44.429
Right.

462
00:27:44.910 --> 00:27:50.073
And to like even just, you know, hey, can you turn these really badly formatted?

463
00:27:50.313 --> 00:28:14.780
pdfs or like weird old web pages like you just ask it like i ask it sometimes i literally say like just turn this into a web page locally in h like just that i can click through and open it like a book you know i'm saying or some stuff like that which is like ocr this for me because this is a mess yeah literally ocr the pdf right now that i can't scroll because of just the way it is on the internet it just won't scroll it just is so chunky so i'm just like make it different thank you yeah yeah

464
00:28:15.300 --> 00:28:28.583
Or like collapse it into something like I have this one thing right now where I just it goes through the guy who made Obsidian made a thing that like turns most web pages into like really simple like markdown that you can read.

465
00:28:29.024 --> 00:28:32.785
So like use his little package to like turn some stuff into like offline markdown.

466
00:28:33.025 --> 00:28:34.745
I can read articles like from my phone.

467
00:28:34.785 --> 00:28:37.946
So like that stuff's pretty nice if you're trying to just like get stuff.

468
00:28:39.027 --> 00:28:39.407
going there.

469
00:28:39.447 --> 00:28:42.350
And then the other thing I like is for like making animations.

470
00:28:42.730 --> 00:28:54.321
If you have to like make animations or like move something around on the screen for the presentation using AI to like, Hey, can you make it so like this thing lights up and then that thing lights up and a line connects the two things.

471
00:28:54.501 --> 00:28:54.942
And you're like,

472
00:28:55.442 --> 00:28:58.464
Because I don't want to click that in PowerPoint anymore.

473
00:28:58.624 --> 00:28:59.105
I don't know.

474
00:28:59.125 --> 00:29:01.947
I graduated from high school already.

475
00:29:01.967 --> 00:29:04.068
I don't want to click the animation button anymore.

476
00:29:04.468 --> 00:29:06.910
What does it make it in?

477
00:29:07.030 --> 00:29:08.491
Is it making a movie file?

478
00:29:08.571 --> 00:29:11.694
Or are you having it drive PowerPoint and it's still being made in PowerPoint?

479
00:29:11.754 --> 00:29:12.274
That's your choice.

480
00:29:12.294 --> 00:29:12.995
That's up to you.

481
00:29:13.015 --> 00:29:13.775
That's up to you.

482
00:29:13.795 --> 00:29:14.376
Oh, okay.

483
00:29:14.496 --> 00:29:19.299
The one that we've been experimenting with on our side is called ReMotion.

484
00:29:19.559 --> 00:29:24.483
And it's like, in case you won't be happy, so close your ears maybe for part of this or just...

485
00:29:25.503 --> 00:29:53.584
but it like literally runs it runs in a browser and it more or less screenshots the browser at certain times to construct a video but then that lets you like okay use all of the css animations and everything right already exists so you can be like i want this to ease in from this opacity to that opacity over this time cool you just do that and then it got more or less like screenshots to to render them but the other one that i've done for other stuff is just literally like hey

486
00:29:54.514 --> 00:30:02.138
write me a static HTML page that is the slides and use JavaScript in the browser to move it.

487
00:30:02.238 --> 00:30:05.941
And I can just like full screen it, you know, and then like that works and it will run on another computer.

488
00:30:05.961 --> 00:30:09.162
So you just present, you present in a browser, you basically just present in a browser.

489
00:30:09.182 --> 00:30:11.924
I just full screen the browser and then click next, next, next.

490
00:30:12.244 --> 00:30:13.785
Look at this one right here.

491
00:30:14.205 --> 00:30:15.226
See this beautiful thing right here.

492
00:30:16.339 --> 00:30:41.575
uh well i mean it's riverside so no but i mean yes so i can press this and i made a screenplay in the two-y those are stars and there's the there's the lander right there the apollo lander i can put like a little wait what is it right why is there why is there an apollo lid what's going on prime this was the the moonshot referred to earlier or yeah yeah yeah doing that we you know i have some nice he doesn't know why you're making it as i'm saying no i don't i'm doing a

493
00:30:44.694 --> 00:30:46.055
Get some nice, that's a particle effect.

494
00:30:46.135 --> 00:30:47.476
I made a particle effect right there.

495
00:30:47.617 --> 00:30:50.319
A video on Apollo or how you made the game?

496
00:30:50.899 --> 00:30:51.660
No, Apollo.

497
00:30:51.740 --> 00:30:54.603
Like the story of the heirs because I'm learning about it.

498
00:30:55.063 --> 00:30:55.804
And so there you go.

499
00:30:55.824 --> 00:30:57.345
See, you can do animations.

500
00:30:57.365 --> 00:30:58.606
That's adorable.

501
00:30:58.786 --> 00:30:59.807
That's actually a house.

502
00:30:59.967 --> 00:31:00.528
In the Tui.

503
00:31:01.689 --> 00:31:01.869
Yeah.

504
00:31:03.658 --> 00:31:04.278
Do people come out?

505
00:31:04.298 --> 00:31:05.079
I want to see the people.

506
00:31:05.099 --> 00:31:05.599
Where's the people?

507
00:31:05.639 --> 00:31:06.039
I love it.

508
00:31:06.339 --> 00:31:15.703
Okay, so I do have a really funny idea for that one, which is going to be take Super Mario, and you know how Super Mario runs and goes on the flagpole and goes down?

509
00:31:15.723 --> 00:31:15.943
Right.

510
00:31:16.323 --> 00:31:22.385
Have someone that looks like, you know, standard Mario and jump a couple moon rocks, ride the thing down, then go in the moon lander, then it shoots off.

511
00:31:22.405 --> 00:31:25.547
So instead of going in the castle, you go in the moon lander, and then it takes off.

512
00:31:25.567 --> 00:31:26.087
That's nice.

513
00:31:26.887 --> 00:31:27.107
All right.

514
00:31:27.127 --> 00:31:29.449
Hey, Casey, you need to kind of keep on going with this presentation.

515
00:31:29.469 --> 00:31:31.090
I realize we're pretty far off topic.

516
00:31:31.291 --> 00:31:31.631
That's OK.

517
00:31:31.651 --> 00:31:32.231
Thanks, Trash.

518
00:31:32.251 --> 00:31:33.332
I mean, it's the stand up.

519
00:31:33.412 --> 00:31:34.613
I already gave the talk.

520
00:31:34.673 --> 00:31:36.274
If you want to see the talk, it's there.

521
00:31:36.795 --> 00:31:37.055
Yes.

522
00:31:37.155 --> 00:31:37.475
True.

523
00:31:38.396 --> 00:31:46.022
So, yeah, we were kind of talking about obviously these talks are not things I can give other versions of.

524
00:31:46.082 --> 00:31:46.282
Right.

525
00:31:46.302 --> 00:31:49.044
So there's not much I could really do on the stand up.

526
00:31:49.144 --> 00:31:49.325
But.

527
00:31:50.253 --> 00:31:54.635
What I kind of wanted to do was figure out something I could show on here that might be fun.

528
00:31:55.035 --> 00:32:05.800
Because, you know, like I already said when we were talking about this, you basically, you don't really have time to put in almost any of the things you found, right?

529
00:32:05.840 --> 00:32:13.603
What you see in the talk is like a tiny, tiny little sliver, right, of the actual stuff, right?

530
00:32:13.623 --> 00:32:17.145
And so what I wanted to show here was there's this...

531
00:32:19.382 --> 00:32:23.165
One of the period, there's multiple periodicals that like everyone read at the time.

532
00:32:23.405 --> 00:32:27.467
Communications of the ACM was an example of one of those.

533
00:32:27.607 --> 00:32:39.615
It's in fact, communication of the ACM was what that original Donald Knuth structured programming with go-to statements paper where premature optimization through to all evil, where he writes that, that was actually in communication to the ACM.

534
00:32:39.635 --> 00:32:41.916
That was like a very common thing people would see.

535
00:32:43.578 --> 00:32:44.958
Actually, no, that I'm sorry.

536
00:32:45.759 --> 00:32:46.940
That was in computing surveys.

537
00:32:48.776 --> 00:32:52.258
communication of the ACM is kind of like more like has the letter letters in it and stuff like this.

538
00:32:52.358 --> 00:33:00.344
So those periodicals from the Association of Computing for Computing Machinery, those are like very common periodicals that lots of people read.

539
00:33:00.644 --> 00:33:11.732
But there was this actual magazine called Datamation, D-A-T-A-M-A-T-I-O-N, that was a very prominent like trade magazine at the time.

540
00:33:12.333 --> 00:33:14.875
And a lot of things are like are in there.

541
00:33:15.927 --> 00:33:19.188
And so I happen to have to read through those.

542
00:33:19.409 --> 00:33:33.014
As you'll see in the talk, I had to read through those to like dumpster dive to find this one advertisement that Edgar Dykstra, like of the Dykstra algorithm, like that Dykstra, refers to multiple times.

543
00:33:33.975 --> 00:33:34.195
Sorry?

544
00:33:34.215 --> 00:33:37.436
He won Programmer of the Month on Prime's channel.

545
00:33:37.876 --> 00:33:38.417
So that was cool.

546
00:33:38.437 --> 00:33:38.617
Oh, yeah.

547
00:33:39.438 --> 00:33:39.778
All right.

548
00:33:39.918 --> 00:33:40.319
Well, yes.

549
00:33:40.399 --> 00:33:41.519
Programmer of the month.

550
00:33:41.600 --> 00:33:42.320
Ed's good Dykstra.

551
00:33:42.460 --> 00:33:43.381
Yep.

552
00:33:43.401 --> 00:33:44.001
Very important.

553
00:33:44.241 --> 00:33:45.042
Very prestigious.

554
00:33:45.242 --> 00:33:46.703
It's literally like Turing Award.

555
00:33:47.263 --> 00:33:47.964
Programmer of the month.

556
00:33:48.805 --> 00:33:49.345
Yep.

557
00:33:49.725 --> 00:33:57.450
I was going to say that Turing Award is kind of like a nice to have resume patter, but Programmer of the month is when you know you've really made it.

558
00:33:57.611 --> 00:33:58.411
That's how you know.

559
00:33:58.571 --> 00:33:58.791
Yeah.

560
00:33:58.811 --> 00:33:59.752
I hope I get that one day.

561
00:34:00.172 --> 00:34:00.753
So someday.

562
00:34:00.793 --> 00:34:02.514
We're all aspiring to that.

563
00:34:04.495 --> 00:34:04.956
So anyway.

564
00:34:04.976 --> 00:34:05.076
Okay.

565
00:34:06.306 --> 00:34:14.991
In this magazine, like Dykstra actually refers to an advertisement derogatorily, refers to an advertisement in this magazine, Datamation.

566
00:34:15.011 --> 00:34:16.552
And that's in the talk.

567
00:34:16.853 --> 00:34:17.573
You can go see that.

568
00:34:18.234 --> 00:34:30.701
But while I was trying to find this ad that he sort of, you know, cryptically refers to multiple times, I read through all the issues of Datamation, like, in 1968.

569
00:34:30.721 --> 00:34:30.841
Yeah.

570
00:34:32.656 --> 00:34:38.444
And because they've been digitized by this like preservation Patreon called Bit Savers.

571
00:34:40.768 --> 00:34:46.095
And while I was reading through these, it kind of like just struck me how...

572
00:34:48.117 --> 00:34:51.963
It's weird, but, like, the more things change, the more they stay the same.

573
00:34:52.183 --> 00:34:55.908
In 1968, like, computers were, like, massive.

574
00:34:56.068 --> 00:34:57.931
Like, a lot of them were the size of the room.

575
00:34:57.971 --> 00:35:00.955
They were at least cabinet-sized, right?

576
00:35:01.476 --> 00:35:02.677
They had, like, you know...

577
00:35:03.178 --> 00:35:29.359
teletype for for like talking to them and stuff it was like you know they're like terminals occasionally you would have a crt display that could maybe like draw some lines on it for you and things like this they also had big plotters that they would use you know it's that era of computing history nobody has a personal computer that's not a thing i don't even think the term personal computer would be used at this point right i think 75 was that apple one

578
00:35:29.759 --> 00:35:33.344
I don't know, but like, because, yeah, heaven help me.

579
00:35:33.364 --> 00:35:34.625
It was called a personal computer.

580
00:35:35.066 --> 00:35:35.326
Yeah.

581
00:35:35.446 --> 00:35:37.969
And so, you know, we're talking about 1968.

582
00:35:38.030 --> 00:35:42.896
So several years before the term was really a thing that people were thinking about, right?

583
00:35:43.952 --> 00:35:47.073
But anyway, when you read through it, it's still kind of nuts.

584
00:35:47.433 --> 00:35:51.114
Like, you get this really interesting sense for the time period.

585
00:35:51.814 --> 00:36:00.577
The sorts of things that were kind of different, like now you can buy a high-resolution CRT for $6,200 in 1968.

586
00:36:00.657 --> 00:36:04.358
So, you know, it's kind of interesting to see how some things have changed.

587
00:36:05.744 --> 00:36:13.386
have gotten better, but in a large, to a large extent, the stuff that they talk about is like the exact same stuff we talk about today.

588
00:36:13.787 --> 00:36:15.587
So I kind of just wanted to grab some screenshots.

589
00:36:15.707 --> 00:36:16.067
I'm sorry.

590
00:36:16.087 --> 00:36:18.288
I just rapidly did this last night prime.

591
00:36:18.308 --> 00:36:21.169
When you said that I should, I should show something today.

592
00:36:21.189 --> 00:36:23.150
So these are not as organized as I would like.

593
00:36:23.350 --> 00:36:24.310
That's perfectly.

594
00:36:24.550 --> 00:36:25.210
We love to hear.

595
00:36:25.250 --> 00:36:29.051
I'll just say that's $60,000 in today's dollars.

596
00:36:29.111 --> 00:36:31.252
If I did the Google search correctly.

597
00:36:31.492 --> 00:36:31.972
Yes.

598
00:36:32.032 --> 00:36:32.673
It's around 10 X.

599
00:36:32.693 --> 00:36:32.893
Yes.

600
00:36:33.133 --> 00:36:33.373
Yeah.

601
00:36:33.553 --> 00:36:33.793
Yeah.

602
00:36:34.473 --> 00:36:42.797
Um, so this one, uh, maybe I should move my, um, uh, I don't know how to make this fit in the screen properly, but I can just make you small for now.

603
00:36:42.837 --> 00:36:44.098
And then that will fit in the screen.

604
00:36:46.279 --> 00:36:49.500
So I don't know if you can see here, but this is an advertise.

605
00:36:49.560 --> 00:36:50.421
Well, it's not really an advertisement.

606
00:36:50.441 --> 00:36:55.964
It's announcement for a new product of a 4k display in 1968, right?

607
00:36:56.024 --> 00:36:58.105
4k 4096 by 4096 raster elements.

608
00:36:58.165 --> 00:36:58.285
Um,

609
00:37:03.618 --> 00:37:04.559
What are we doing here?

610
00:37:05.179 --> 00:37:06.240
I'm just pointing.

611
00:37:06.860 --> 00:37:07.280
I don't know.

612
00:37:07.621 --> 00:37:11.483
It's hard to get more fish about some of these things, but I thought that was kind of cute.

613
00:37:11.983 --> 00:37:16.506
Anyway, I thought it was kind of cool that we could get some salary comparisons.

614
00:37:17.027 --> 00:37:18.648
So, again, 10x these.

615
00:37:18.848 --> 00:37:22.350
So, you know, here's a partial list of computer careers.

616
00:37:22.370 --> 00:37:23.371
$100,000 to $350,000 a year.

617
00:37:26.117 --> 00:37:31.299
So it was already like people were getting Silicon Valley salaries.

618
00:37:31.539 --> 00:37:31.839
True.

619
00:37:32.479 --> 00:37:33.019
In 1968.

620
00:37:33.079 --> 00:37:33.559
Wow.

621
00:37:35.400 --> 00:37:37.100
Which is pretty great.

622
00:37:38.821 --> 00:37:43.563
AI taking over the world and us being very scared about it.

623
00:37:43.963 --> 00:37:45.523
That was huge during that time.

624
00:37:46.063 --> 00:37:48.044
Hexapon, a learning demonstration.

625
00:37:48.364 --> 00:37:52.305
This is by some people from IBM.

626
00:37:52.325 --> 00:37:54.126
And they essentially say that...

627
00:37:55.711 --> 00:37:58.053
That what was the good thing it says?

628
00:37:58.193 --> 00:38:09.123
The, this arises from the belief that the computer is a serious threat to man because it poses and it possesses an intelligence that dwarfs man's.

629
00:38:09.564 --> 00:38:13.307
Many people do not realize the contribution that programmers make to computer performance.

630
00:38:13.387 --> 00:38:17.491
Instead, they ascribe the performance to some inherent mystical ability of the computer.

631
00:38:17.832 --> 00:38:21.014
This naturally results in their regard in the computer with considerable awe.

632
00:38:22.842 --> 00:38:33.149
And it has a thing that says there is therefore a need to communicate to the public the basic principles underlying computer artificial intelligence in order to dissipate some of the mystery surrounding computers.

633
00:38:34.109 --> 00:38:42.415
And there's another one in here that I was going to point out where they talk a little bit more about the degree to which people...

634
00:38:43.895 --> 00:38:49.322
In fact, this article itself says accompanying this positive attitude toward computers is an underlying sense of anxiety.

635
00:38:49.442 --> 00:38:50.363
There's more here on here.

636
00:38:51.064 --> 00:38:56.771
Anyway, these are in no particular order, so we'll get back to that thing that I just showed in a minute.

637
00:38:56.791 --> 00:38:57.432
Is that a Cope 45?

638
00:38:57.472 --> 00:38:58.593
That's what I was going to say.

639
00:38:58.673 --> 00:38:59.635
I was just laughing.

640
00:38:59.655 --> 00:39:01.016
This computer is called the Cope 45.

641
00:39:03.530 --> 00:39:08.855
Brian, you can reply to people with this on X with this ad when they say something.

642
00:39:08.895 --> 00:39:11.357
You're like, here's a Cope 45 for you.

643
00:39:12.217 --> 00:39:12.578
Okay.

644
00:39:12.878 --> 00:39:15.220
The Cope 45 is here, guys.

645
00:39:15.600 --> 00:39:16.681
Working now.

646
00:39:17.061 --> 00:39:18.963
That is what it says in this ad.

647
00:39:19.023 --> 00:39:20.344
The Cope 45.

648
00:39:21.165 --> 00:39:26.730
It provides 100% backup with immediate turnaround in a load and go environment for your library of programs.

649
00:39:28.113 --> 00:39:30.534
That sounds literally just like today's computing.

650
00:39:30.574 --> 00:39:32.635
When people tell you to cope, okay?

651
00:39:32.835 --> 00:39:41.119
When people tell you to cope, you tell them, I use a Cope 45 for all my backup needs.

652
00:39:41.139 --> 00:39:48.982
So another thing that's exactly the same is everyone was worried about data mining.

653
00:39:49.082 --> 00:39:55.345
In 1968, there was literally this thing called the long subcommittee, which they were reporting on.

654
00:39:56.209 --> 00:40:18.819
in congress uh where they were name though casey right not like uh they're not just probably it's edward v long a democrat from missouri i thought you were about to show us something where they were saying guys turns out having subcommittees that put red tape on everything really makes the program suck that's what i thought we were about to get

655
00:40:20.543 --> 00:40:22.225
That's also separately true.

656
00:40:23.085 --> 00:40:34.375
But if you take a look at this, it basically says citizens' names appear 3 billion times, their age is 2 billion, their marital status 1.5 billion, and their income 1.25 billion.

657
00:40:35.096 --> 00:40:42.923
And Senator Long, who was heading the committee, goes, hearings before my subcommittee have convinced me that whatever privacy remains for the American citizen –

658
00:40:43.403 --> 00:40:50.365
remains because the federal government is presently too inefficient to pull all its personal information files together.

659
00:40:50.825 --> 00:40:54.866
It is extremely time-consuming and expensive to put your finger on any one individual.

660
00:40:54.886 --> 00:40:55.787
Come on, stand up trash.

661
00:40:56.227 --> 00:41:03.269
But the proposed federal data bank will make it easier and cheaper to put your whole life history no further than the push of a button away.

662
00:41:03.709 --> 00:41:08.270
What good will this technical progress be if we fail to preserve our privacy?

663
00:41:08.710 --> 00:41:09.190
In 1968...

664
00:41:11.131 --> 00:41:15.494
Dude, long would have lived quite short knowing about flock cameras.

665
00:41:16.674 --> 00:41:18.815
Oh, flock cameras, you say?

666
00:41:19.176 --> 00:41:23.578
Gosh, I wonder if those will come up in a clipping in a couple of slides here.

667
00:41:25.239 --> 00:41:29.502
So, software as a service, they got you covered.

668
00:41:29.882 --> 00:41:34.084
Now you can lease your software with no capital investment, guys.

669
00:41:34.104 --> 00:41:34.304
What?

670
00:41:35.913 --> 00:41:36.153
Yep.

671
00:41:36.954 --> 00:41:38.375
They had it all figured out.

672
00:41:38.395 --> 00:41:40.016
They were like, look, you just pay us.

673
00:41:40.636 --> 00:41:45.159
And then, you know, for this monthly fee, we will provide the software to you.

674
00:41:45.179 --> 00:41:47.881
And when, you know, when you stop paying, we take the software back.

675
00:41:47.901 --> 00:41:48.642
It's all good, guys.

676
00:41:50.022 --> 00:41:51.483
The benefits are great, though.

677
00:41:51.523 --> 00:41:52.883
It says right in the article.

678
00:41:53.023 --> 00:41:54.304
It says the benefits are great.

679
00:41:55.084 --> 00:41:55.584
Exactly.

680
00:41:56.805 --> 00:42:02.007
This was the year, 1968, that they decided software could be patented, right?

681
00:42:02.427 --> 00:42:10.390
There was a bill introduced that would have banned software patents, and they decided, all right, maybe not.

682
00:42:11.210 --> 00:42:12.931
That was this year, 1968.

683
00:42:13.551 --> 00:42:17.513
So that bill, had it been passed, we wouldn't have had software patents.

684
00:42:18.962 --> 00:42:19.242
All right.

685
00:42:20.963 --> 00:42:21.303
Moving on.

686
00:42:21.323 --> 00:42:25.844
I'm just kind of going through these rapid fire here.

687
00:42:25.884 --> 00:42:28.625
This is more about the patent office there.

688
00:42:30.446 --> 00:42:30.726
Okay.

689
00:42:31.226 --> 00:42:34.307
So I don't think I need to talk about anything here.

690
00:42:34.327 --> 00:42:35.748
I don't even know why I screenshotted that.

691
00:42:35.808 --> 00:42:36.848
Why did I screenshotted that?

692
00:42:36.868 --> 00:42:38.269
Oh, you know why I screenshotted that?

693
00:42:38.969 --> 00:42:40.169
I know why I screenshotted that.

694
00:42:40.570 --> 00:42:46.672
It's because of if you look at the table of contents, those among you,

695
00:42:47.487 --> 00:42:56.694
with eagle eyes, with the sharp eyes, the razor sharp eyes of a sharp eyed standup viewer.

696
00:42:57.194 --> 00:42:57.535
Sex viral.

697
00:42:57.555 --> 00:42:58.115
Of an eagle.

698
00:42:58.335 --> 00:42:58.815
Sex viral.

699
00:42:58.835 --> 00:42:59.276
Yes.

700
00:42:59.656 --> 00:43:01.177
Yes.

701
00:43:01.978 --> 00:43:09.423
We'll notice a particularly famous publication here in the April edition.

702
00:43:10.004 --> 00:43:10.944
Computerenhanced.com?

703
00:43:11.485 --> 00:43:11.705
Nope.

704
00:43:13.066 --> 00:43:14.827
Can anyone see it?

705
00:43:14.847 --> 00:43:16.188
Can anyone out there see it?

706
00:43:16.288 --> 00:43:16.829
Do you see it?

707
00:43:19.660 --> 00:43:20.180
FCC?

708
00:43:20.240 --> 00:43:20.721
No, I don't.

709
00:43:22.161 --> 00:43:23.762
Number, page 28.

710
00:43:24.883 --> 00:43:29.406
How do committees invent by Melvin E. Conway.

711
00:43:29.446 --> 00:43:30.746
That is right, Teej.

712
00:43:31.487 --> 00:43:34.869
It is the original publication of Conway's Law.

713
00:43:35.609 --> 00:43:35.989
Whoa.

714
00:43:36.009 --> 00:43:36.570
That's wild.

715
00:43:37.470 --> 00:43:38.291
That's a full circle.

716
00:43:38.991 --> 00:43:42.153
How did people read it if it was more than 140 characters, Casey?

717
00:43:43.474 --> 00:43:44.134
I don't know.

718
00:43:45.155 --> 00:43:49.616
They were thumbing through this weird dead tree thing, and they, I don't know how it worked.

719
00:43:49.656 --> 00:43:50.116
It's weird.

720
00:43:51.357 --> 00:43:52.377
Really foreign concept.

721
00:43:53.338 --> 00:43:54.838
So this was good.

722
00:43:54.998 --> 00:43:57.199
27 cents for 1,000 characters.

723
00:43:57.239 --> 00:43:59.200
That was the price of the storage.

724
00:43:59.360 --> 00:44:01.861
Oh, I love measuring it in characters.

725
00:44:02.561 --> 00:44:03.761
Oh, that's awesome.

726
00:44:04.521 --> 00:44:05.842
Yep.

727
00:44:06.102 --> 00:44:08.563
So here's that Melvin Conway, the original.

728
00:44:08.583 --> 00:44:08.663
Yep.

729
00:44:10.124 --> 00:44:10.985
There he is right there.

730
00:44:11.765 --> 00:44:13.347
Very dashing, I would say.

731
00:44:13.387 --> 00:44:15.509
I was just thinking, dang, that guy's handsome.

732
00:44:16.329 --> 00:44:16.890
Hey, ladies.

733
00:44:16.910 --> 00:44:18.051
I'll listen to anything he says.

734
00:44:18.671 --> 00:44:20.553
Let me tell you about how committees invent.

735
00:44:20.593 --> 00:44:22.134
So true.

736
00:44:22.334 --> 00:44:24.876
Yeah.

737
00:44:25.297 --> 00:44:37.587
So anyway, the term firmware was coined just the prior year, and they were talking about the concept that computers of the future might have firmware in them.

738
00:44:38.327 --> 00:44:38.428
Oh.

739
00:44:39.349 --> 00:44:40.231
In 1968.

740
00:44:40.893 --> 00:44:46.347
Boy, did they ever, I'd like to tell you about UEFI BIOS, uh,

741
00:44:47.218 --> 00:44:48.879
Anyway, that's not really quite what he meant.

742
00:44:48.899 --> 00:44:53.763
Do you want to tell us about UEFI BIOS in one of these in a stand-up one day?

743
00:44:54.404 --> 00:44:56.606
I mean, there's not much to say.

744
00:44:57.406 --> 00:45:07.595
It's like something like two million lines of code just for the reference implementation of the thing that is the software on your computer before you use any software on your computer.

745
00:45:07.695 --> 00:45:08.175
It's nuts.

746
00:45:09.473 --> 00:45:16.018
Firmware here, they were kind of thinking of it as being... Well, no, this is kind of what...

747
00:45:16.118 --> 00:45:16.599
I won't go...

748
00:45:16.679 --> 00:45:17.159
It doesn't matter.

749
00:45:17.179 --> 00:45:18.681
That'd be like a whole rat hole.

750
00:45:18.741 --> 00:45:21.423
But anyway, I thought it was kind of fun.

751
00:45:21.443 --> 00:45:23.725
It was like, wow, 1968 was the first time they were really talking about firmware.

752
00:45:23.745 --> 00:45:26.947
It's the year before 1967, actually, that I think it was first coined.

753
00:45:28.368 --> 00:45:33.833
Now, this article, an experimental 36040 for timesharing, right?

754
00:45:33.913 --> 00:45:36.595
360 being the system 360, like the IBM system 360...

755
00:45:37.948 --> 00:45:41.532
N40 being the model 40 of that line of computers.

756
00:45:42.353 --> 00:45:48.098
I thought this was kind of interesting because they already were talking about like virtual memory and all this stuff.

757
00:45:48.238 --> 00:45:52.042
But they are also talking about virtual machines and everyone running on a virtual machine.

758
00:45:52.443 --> 00:45:55.245
Like hypervisor, they were like, yeah, yeah, yeah, yeah, like no problem.

759
00:45:55.906 --> 00:45:57.147
You can read up in the corner here.

760
00:45:57.187 --> 00:46:02.131
It says, if only software is used over it is considerably larger than the supervisor program is assisted by some additional hardware.

761
00:46:02.451 --> 00:46:05.694
With this added hardware, the user is not aware of anyone else in the system.

762
00:46:05.774 --> 00:46:07.915
In fact, he cannot reach data belonging to others.

763
00:46:08.376 --> 00:46:16.682
That part of the physical machine the user sees under these conditions is called a virtual machine, which can but need not have the same specifications as the host machine.

764
00:46:17.082 --> 00:46:21.306
In our case, the virtual machine had the same specifications as the host machine.

765
00:46:22.255 --> 00:46:25.897
So it's like, they were just running on VMs.

766
00:46:25.937 --> 00:46:27.698
They were like, yep, that's going to be cool.

767
00:46:27.778 --> 00:46:28.499
Don't worry about it.

768
00:46:29.019 --> 00:46:29.459
We got it.

769
00:46:31.441 --> 00:46:34.082
Did you want like continuous integration testing?

770
00:46:34.563 --> 00:46:35.723
No problem.

771
00:46:35.783 --> 00:46:40.406
They were like, do you need to have like your, you know, your tapes tested?

772
00:46:40.586 --> 00:46:41.307
Things like this.

773
00:46:41.627 --> 00:46:42.267
Is this an ad?

774
00:46:42.808 --> 00:46:43.348
Yes, it is.

775
00:46:43.808 --> 00:46:46.490
I just can't believe how much of this is like right for today.

776
00:46:46.970 --> 00:46:51.174
No, it's based on how much of these fundamental assumptions are wrong.

777
00:46:51.855 --> 00:46:53.196
Like, do you need your tapes test today?

778
00:46:53.216 --> 00:46:55.419
We'd never test tapes today, but it's all right.

779
00:46:55.779 --> 00:46:58.602
Yes.

780
00:46:58.662 --> 00:47:00.484
We have done nothing, basically.

781
00:47:00.744 --> 00:47:06.210
Hardware got a lot better, and we just are exactly the same as what was in a Datamation magazine from 1968.

782
00:47:06.250 --> 00:47:07.731
Literally.

783
00:47:08.992 --> 00:47:11.074
So what was this?

784
00:47:11.114 --> 00:47:16.180
Oh, the end of OS is I have to I have to hear about this because I hear agents are operating systems these days.

785
00:47:16.360 --> 00:47:30.254
OK, this is a joke that one of the weird things about this is the level of like satire and like just generally horsing around that happened in animation magazine is kind of nuts.

786
00:47:30.494 --> 00:47:32.155
We'll get to another one of these in a second.

787
00:47:32.836 --> 00:47:36.619
But there'd be a lot of these parody articles that are just in there.

788
00:47:36.979 --> 00:47:37.940
No call out.

789
00:47:38.020 --> 00:47:41.043
It's not like, oh, this, haha, this is a joke.

790
00:47:41.363 --> 00:47:42.304
It's like we just wrote.

791
00:47:42.324 --> 00:47:44.005
It's like a mad magazine?

792
00:47:44.426 --> 00:47:44.646
Yes.

793
00:47:44.906 --> 00:47:46.427
They would just do that.

794
00:47:46.908 --> 00:47:50.991
Maybe every episode there'd be like two articles that were just straight up humor.

795
00:47:51.852 --> 00:47:59.698
And there was no differentiating them from the completely dry, 100% serious, like the other stuff that I've been showing.

796
00:47:59.718 --> 00:48:00.098
That's awesome.

797
00:48:00.118 --> 00:48:00.299
Yeah.

798
00:48:01.075 --> 00:48:09.820
Here, they literally say a new programming system was announced for delivery in two years to be called Assembler Stack Support or ASS.

799
00:48:13.702 --> 00:48:14.722
So it's just like, all right.

800
00:48:14.742 --> 00:48:15.883
That was a good job.

801
00:48:16.283 --> 00:48:16.683
That's good.

802
00:48:16.703 --> 00:48:17.444
Good job, guys.

803
00:48:18.384 --> 00:48:19.965
The ASCII standard was adopted.

804
00:48:21.416 --> 00:48:25.319
So President Lyndon Johnson, I assume.

805
00:48:26.100 --> 00:48:27.541
LBJ stamped ASCII?

806
00:48:27.781 --> 00:48:28.542
I think so.

807
00:48:29.022 --> 00:48:30.403
It says President Johnson.

808
00:48:30.443 --> 00:48:35.727
It could have been another guy, maybe president of the Sanders Institute.

809
00:48:35.747 --> 00:48:36.108
I don't know.

810
00:48:36.128 --> 00:48:37.789
It just says President Johnson.

811
00:48:40.952 --> 00:48:43.554
Because, I mean, I have my PETSki right here already.

812
00:48:43.894 --> 00:48:44.334
Okay.

813
00:48:44.735 --> 00:48:46.776
You know, so ASCII is a big upgrade.

814
00:48:46.836 --> 00:48:47.577
I do have to say.

815
00:48:47.597 --> 00:48:47.677
I...

816
00:48:49.384 --> 00:48:51.625
And Lyndon Johnson maybe agrees with you.

817
00:48:51.645 --> 00:48:53.566
Yeah, Lyndon Johnson helped me get off the Pets game.

818
00:48:53.626 --> 00:48:54.566
I'm very happy about that.

819
00:48:55.127 --> 00:48:56.427
So I thought that was kind of cool.

820
00:48:56.447 --> 00:48:56.908
I was like, all right.

821
00:48:57.208 --> 00:49:01.029
And again, this is not, here's all the back issues of the animation.

822
00:49:01.290 --> 00:49:03.511
This is just 1968.

823
00:49:03.951 --> 00:49:05.411
All of this is just from 1968.

824
00:49:06.712 --> 00:49:08.053
That's insane.

825
00:49:08.773 --> 00:49:11.935
I like this one per year, Casey, or how often did they publish one per month?

826
00:49:12.455 --> 00:49:13.036
It's one a month.

827
00:49:13.076 --> 00:49:14.757
So that's 12 issues of Datamation.

828
00:49:14.797 --> 00:49:15.257
All right, gotcha.

829
00:49:15.537 --> 00:49:19.920
And oh, but the things I'm showing you, I only had time to go through the first six again.

830
00:49:20.340 --> 00:49:24.543
So it's only half that you're actually, it's only the first half of 1968 that we're looking at here.

831
00:49:27.169 --> 00:49:28.529
I like this piece of artwork.

832
00:49:29.110 --> 00:49:29.950
I think it's very moving.

833
00:49:30.290 --> 00:49:30.650
That's all.

834
00:49:30.670 --> 00:49:32.711
The mournful fisherman, it's called.

835
00:49:32.731 --> 00:49:34.372
Scary.

836
00:49:34.912 --> 00:49:37.513
Anyway, so here's more about the privacy.

837
00:49:37.974 --> 00:49:41.215
Statistical data banks said to be privacy threat.

838
00:49:41.295 --> 00:49:50.079
Protecting individual privacy requires more than controlling access to personal dossiers, a lawyer and management consultant told the Boston Bar Associates Committee on automation recently.

839
00:49:50.359 --> 00:49:54.721
Aggregate statistics can also provide intelligence about individuals.

840
00:49:55.301 --> 00:49:56.562
And they go on to talk.

841
00:49:56.582 --> 00:49:57.983
Like, it's all here.

842
00:49:58.003 --> 00:49:58.843
That's crazy.

843
00:49:58.903 --> 00:50:00.464
Like, it is all here.

844
00:50:01.325 --> 00:50:08.810
Everyone, they, people knew about everything that was going to happen, but it happened anyway might be the way to say it, right?

845
00:50:08.830 --> 00:50:11.872
Which is kind of a bit sad or disheartening.

846
00:50:11.932 --> 00:50:13.773
I don't know.

847
00:50:13.893 --> 00:50:15.874
Anyway, these are just more salary examples.

848
00:50:15.954 --> 00:50:18.556
If you're blocked in your career, COBOL, still good advice.

849
00:50:18.576 --> 00:50:20.277
Still good advice today.

850
00:50:20.297 --> 00:50:22.579
Career opportunities beyond old limits.

851
00:50:22.639 --> 00:50:23.940
It's an acronym, Prime.

852
00:50:24.040 --> 00:50:24.200
Yeah.

853
00:50:25.568 --> 00:50:26.250
Oh, career.

854
00:50:26.430 --> 00:50:27.653
Oh, it is.

855
00:50:27.673 --> 00:50:28.796
That is real good.

856
00:50:28.896 --> 00:50:29.759
I didn't even notice that.

857
00:50:31.819 --> 00:50:32.900
It's still actually good advice today.

858
00:50:32.920 --> 00:50:39.703
If you learn COBOL, you can make hundreds of thousands of dollars because they really need people to figure out how to maintain and move forward these systems.

859
00:50:40.763 --> 00:50:50.708
At this point in time, no one is sure if there will ever be a time when learning COBOL isn't still a valuable, marketable skill.

860
00:50:50.788 --> 00:50:54.429
It should have been that no one knows it today.

861
00:50:55.050 --> 00:50:55.930
That's not what happened.

862
00:50:57.529 --> 00:50:58.812
Okay.

863
00:50:59.033 --> 00:51:01.579
Using computers to try to win elections.

864
00:51:02.301 --> 00:51:02.642
1968.

865
00:51:02.662 --> 00:51:02.983
Right?

866
00:51:03.083 --> 00:51:03.244
Right?

867
00:51:05.218 --> 00:51:05.558
Sick.

868
00:51:05.798 --> 00:51:08.220
Political pros applying computers to campaign.

869
00:51:08.420 --> 00:51:21.649
The Democrat National Committee recently replaced a 1401 with a 5-tape 36030, is working with the equipment in two and a half shifts or more just about every day, and plans to add at least one disc pack.

870
00:51:22.450 --> 00:51:30.095
The RNC is renting 25 hours a month on an SBC Mod 40 and lesser from another DC Service Bureau integrated business methods.

871
00:51:30.715 --> 00:51:34.758
So it's like, yep, they were already doing that too.

872
00:51:36.586 --> 00:51:39.231
Lawyer sees computers as aid in handling cases.

873
00:51:40.053 --> 00:51:46.966
So this was someone going, look, we could have the computers read these legal opinions and then they could predict what the judge was going to do.

874
00:51:48.118 --> 00:51:49.358
It's just kind of nuts.

875
00:51:50.039 --> 00:51:52.419
Now my computer is my lawyer, which is sick.

876
00:51:53.440 --> 00:51:54.800
Yeah.

877
00:51:57.021 --> 00:51:57.881
I just hold it up.

878
00:51:57.941 --> 00:52:01.642
I hold up my phone and have it speak for me.

879
00:52:01.682 --> 00:52:05.364
Your Honor, can you talk to Chad GPT voice for me, please?

880
00:52:05.384 --> 00:52:05.904
Objection.

881
00:52:06.464 --> 00:52:07.604
Objection.

882
00:52:07.624 --> 00:52:08.305
Repeat that.

883
00:52:08.365 --> 00:52:10.105
Repeat that for Chad GPT voice.

884
00:52:10.225 --> 00:52:11.286
It feels like a husk.

885
00:52:11.346 --> 00:52:15.027
This is like turning into a husk thing with husk in the courtroom.

886
00:52:16.348 --> 00:52:21.872
This, write-in from a reader, it's an op-ed page.

887
00:52:23.334 --> 00:52:32.622
Literally, like, literally, it just sounds like an AI stan from today wrote in.

888
00:52:33.809 --> 00:52:42.232
They say, with each passing year since the development called ENIAC, man has been increasingly making computers and automation the whipping boy for his own deficiencies.

889
00:52:42.832 --> 00:52:56.657
I have been working in this field for over 15 years and have watched in silence as unemployment, dehumanization, big brother, invasion of privacy, and finally the very destruction of the fiber of our society have been blamed on my chosen field.

890
00:52:57.137 --> 00:52:58.658
I no longer can remain silent.

891
00:52:58.698 --> 00:53:01.720
It is time we put our critics and their criticisms in perspective.

892
00:53:02.061 --> 00:53:03.181
It's not our computers.

893
00:53:03.462 --> 00:53:04.762
To err is human.

894
00:53:05.223 --> 00:53:06.524
Let me cite some examples.

895
00:53:06.624 --> 00:53:12.268
Several years ago, I was associated with a project which attempted to provide computer assistance to medical X-ray interpretation.

896
00:53:12.808 --> 00:53:22.291
Most, if not all, of the doctors to which the project was ascribed offered the universal argument against computers, but you cannot automate the years of study and value judgment which must be based on years of experience.

897
00:53:22.331 --> 00:53:23.251
Does it sound familiar?

898
00:53:23.651 --> 00:53:29.153
A series of x-rays from the case history of a patient who died was presented to train physicians and the computer.

899
00:53:29.233 --> 00:53:34.414
In all cases, the physicians missed the vital interpretation until the malady could no longer have been arrested.

900
00:53:34.454 --> 00:53:40.756
The computer sensed an irregularity early enough, so we were advised that corrective action could have started."

901
00:53:41.636 --> 00:53:47.061
He just goes on and on talking about all these ways that like people have demonized it, but the computers are better.

902
00:53:47.402 --> 00:53:48.723
It's it's nuts.

903
00:53:48.823 --> 00:53:49.524
Like this is 1968.

904
00:53:52.752 --> 00:54:20.541
it's totally nuts here sorry yeah so now I feel like I can't decide if it's a good tweet or not so I need your approval before I send it I typed it while you were talking alright yeah so it said to err is human you know because it's talking about how people make mistakes but now I kind of feel like we should be saying to err is agentic should I tweet that or not what do you think I'm the wrong one to ask is agentic

905
00:54:21.501 --> 00:54:45.972
to fable of divine i'm just gonna say to air is agentic i'm just gonna tweet that only there you go okay i mean there's only one way to find out you just gotta sometimes you just gotta put it out there tige and see what i did yeah i did okay uh somebody asked about flock cameras i think prime you were saying flock cameras oh i did yeah because you were like saying that other piece oh sort of like flat cameras but it was kind of distantly related how about actually just flock cameras

906
00:54:48.407 --> 00:54:55.890
New York State has a development program underway to use a video camera to capture the image of the rear of motor vehicles passing a vehicle presence detector.

907
00:54:55.930 --> 00:55:02.252
This image is processed by a specialized device which locates the license plate and identifies its alphanumeric code.

908
00:55:02.552 --> 00:55:09.034
The code is transmitted to the central computer at a remote location for comparison with stolen vehicle and traffic warrant files.

909
00:55:09.194 --> 00:55:14.536
A match results in the output of the license number, vehicle type, and an indication of the charge.

910
00:55:15.056 --> 00:55:26.743
The police vehicle is monitoring the output device a short distance from the detector and is able to enter the stream of traffic and apprehend the wanted vehicle two or three seconds after the initial detection.

911
00:55:27.163 --> 00:55:36.288
J.J. Paley of the New York State Identification Intelligence System expressed optimism as to its potential contribution in the stolen vehicle and wanted traffic violator areas.

912
00:55:37.108 --> 00:55:37.329
Wow.

913
00:55:37.349 --> 00:55:38.649
Do you just have to read 1968's

914
00:55:40.183 --> 00:55:40.884
Data whatever.

915
00:55:40.904 --> 00:55:41.665
Data major.

916
00:55:41.685 --> 00:55:44.628
And you can come up with modern day billion dollar companies.

917
00:55:45.169 --> 00:55:49.153
Just read through this and find something someone isn't doing right now.

918
00:55:49.393 --> 00:55:52.497
And there's your next Y Combinator pitch, folks.

919
00:55:53.618 --> 00:55:54.899
Casey, this reminds me.

920
00:55:54.939 --> 00:55:56.401
Have you ever seen... Oh, go ahead.

921
00:55:56.681 --> 00:55:57.122
Go ahead, Casey.

922
00:55:57.222 --> 00:55:57.922
No, continue.

923
00:55:58.643 --> 00:56:00.866
Have you ever seen Colossus the Forbin Project?

924
00:56:00.886 --> 00:56:00.946
No.

925
00:56:01.818 --> 00:56:03.619
Have you ever watched this movie?

926
00:56:03.679 --> 00:56:04.179
1970.

927
00:56:04.359 --> 00:56:04.819
It's right.

928
00:56:04.939 --> 00:56:08.240
I have not watched it, but that sounds very, I've heard the name.

929
00:56:08.260 --> 00:56:08.641
Certainly.

930
00:56:08.861 --> 00:56:12.302
They probably wrote and, you know, produce this during this time period.

931
00:56:12.342 --> 00:56:17.264
Casey little, I'll give you a homework assignment for once, which is watch this movie.

932
00:56:17.524 --> 00:56:18.344
You'll love it.

933
00:56:18.484 --> 00:56:19.165
I promise you.

934
00:56:19.245 --> 00:56:19.945
I guarantee it.

935
00:56:20.725 --> 00:56:21.445
Say it one more time.

936
00:56:21.465 --> 00:56:23.706
Colossus, the Forbin project or something.

937
00:56:23.726 --> 00:56:25.087
Colossus, the Forbin project.

938
00:56:25.127 --> 00:56:25.307
Yep.

939
00:56:27.288 --> 00:56:28.248
Don't eat in the computer room.

940
00:56:30.707 --> 00:56:31.027
All right.

941
00:56:31.487 --> 00:56:32.428
You eat these donuts.

942
00:56:33.028 --> 00:56:34.729
The crumbs get in the tape.

943
00:56:34.929 --> 00:56:36.089
I actually tell this to my kids.

944
00:56:36.129 --> 00:56:37.590
They're not allowed to eat in the computer room.

945
00:56:37.690 --> 00:56:38.370
Yeah, this is good.

946
00:56:38.430 --> 00:56:40.271
This is actually really good advice.

947
00:56:40.291 --> 00:56:46.534
Residual static charges attract crumbs to the tape surface, and the crumbs cause dents and dents create permanent errors, guys.

948
00:56:46.854 --> 00:56:48.815
So that one, not as applicable to today.

949
00:56:49.555 --> 00:56:50.956
There's some more software as a service.

950
00:56:51.376 --> 00:56:54.217
I thought you guys might like 1.5 cent per bit.

951
00:56:57.282 --> 00:57:17.247
storage because i was thinking pretty soon with the ai uh data center build out i'm imagining this is roughly i'm imagining this ad will be accurate again honestly casey i do have to say it seems like it costs a little bit to get memory in that time it costs just a little bit yeah so i should say lockheed

952
00:57:18.957 --> 00:57:19.737
Yeah.

953
00:57:19.957 --> 00:57:27.520
So Lockheed Martin was just Lockheed Aircraft Corporation at that time because they hadn't merged with the Martin Marietta.

954
00:57:27.540 --> 00:57:28.400
With Martin Marietta.

955
00:57:29.240 --> 00:57:29.820
Got it.

956
00:57:29.880 --> 00:57:30.280
Interesting.

957
00:57:30.300 --> 00:57:32.341
Yeah, that wasn't true in 1968.

958
00:57:32.381 --> 00:57:32.781
Yeah.

959
00:57:33.381 --> 00:57:41.024
They were just making generic also like memory system stuff too, like outside of – Well, yeah, because –

960
00:57:42.772 --> 00:57:49.278
No, it's, you can actually see, you probably can't in a minute, it says Lockheed Electronics Company, a division of Lockheed Aircraft Corporation.

961
00:57:49.318 --> 00:57:49.518
Got it.

962
00:57:49.558 --> 00:57:51.660
So they kind of had like this, you know what I'm saying?

963
00:57:52.181 --> 00:57:52.901
Yep, yep, yep.

964
00:57:53.402 --> 00:57:54.903
So yeah.

965
00:57:55.083 --> 00:57:59.187
This is, well, okay, I guess I don't know.

966
00:58:00.555 --> 00:58:04.917
I assumed this was another one of their comedy ones.

967
00:58:05.537 --> 00:58:07.738
It's called a hexadecimal pronunciation guide.

968
00:58:08.738 --> 00:58:09.818
I thought it was really funny.

969
00:58:10.279 --> 00:58:11.019
It has to be.

970
00:58:11.579 --> 00:58:12.760
I just, it has to be.

971
00:58:13.020 --> 00:58:14.320
I don't, I don't know.

972
00:58:15.100 --> 00:58:16.121
So don't take my word for it.

973
00:58:16.141 --> 00:58:26.925
I can't prove it because like I said, they don't really, they don't really say whether the article is comedy or not, but, but here are the way that they suggest pronouncing the, the, the digits.

974
00:58:26.945 --> 00:58:27.065
Yeah.

975
00:58:27.925 --> 00:58:33.088
A for Ann, B is Bet, C is Chris, D is Dot, E is Ernest, and F is Frost.

976
00:58:33.888 --> 00:58:39.211
So when you encounter things, uh... Oh my gosh.

977
00:58:39.451 --> 00:58:44.094
Yeah, yeah, yeah.

978
00:58:44.274 --> 00:58:45.234
I am loving that.

979
00:58:45.554 --> 00:58:46.255
Yeah, me too.

980
00:58:46.495 --> 00:58:49.537
Ant-y, Betty, Christ-y, Dot-y, Ernest-y, right?

981
00:58:49.677 --> 00:58:50.197
Frost-y.

982
00:58:50.237 --> 00:58:50.737
Jippity.

983
00:58:50.757 --> 00:58:51.638
Oh, and it's not on there.

984
00:58:51.658 --> 00:58:51.878
Yeah.

985
00:58:51.898 --> 00:58:52.218
Okay.

986
00:58:53.939 --> 00:59:10.908
these are just so good anti-07 oh that's crazy because on Silicon Valley F5 was flevity-5 yeah this is anti-Christine that's like a I was like we should do this I should try to learn a frosty 2 a frosty 2 is so good

987
00:59:15.792 --> 00:59:28.076
I thought maybe they were going to be working up to like a hidden message inside where they like pick a pretty high number and then it like says a whole sentence and it's like you're an idiot for reading this article or something like that.

988
00:59:28.316 --> 00:59:33.337
I don't think – it's written very tongue in cheek so I just assumed it was comedy.

989
00:59:33.677 --> 00:59:34.818
But I don't –

990
00:59:35.598 --> 00:59:42.361
I didn't have time to really read through the entire article to like see if there was anything where they literally say it, but I don't think they ever do.

991
00:59:43.301 --> 00:59:45.042
The humor was like wicked dry.

992
00:59:45.062 --> 00:59:46.302
Can you send me a link to that one?

993
00:59:46.323 --> 00:59:48.523
Because I think I'm just going to make a YouTube video on that one.

994
00:59:48.543 --> 00:59:49.824
That one is really funny.

995
00:59:49.844 --> 00:59:51.345
Yeah, just send me a message.

996
00:59:51.505 --> 00:59:53.606
Send me a DM so I'll remember as soon as we're done here.

997
00:59:53.626 --> 00:59:54.506
Okay, I'm going to send it now.

998
00:59:54.666 --> 00:59:55.146
I'll send it to you.

999
00:59:55.306 --> 00:59:55.666
Yeah, yeah.

1000
00:59:55.986 --> 00:59:57.007
Otherwise it will be forgotten.

1001
00:59:57.947 --> 01:00:00.428
Otherwise, I'm also forgetting your forgettings.

1002
01:00:02.089 --> 01:00:04.010
So, again, we kind of already went over this.

1003
01:00:04.030 --> 01:00:17.217
Here's an entire book called Privacy and Freedom by Alan F. Weston that they're reviewing here that's entirely about like the, you know, it has an entire section on computer, like what computers are doing to privacy in that era.

1004
01:00:18.317 --> 01:00:20.598
Why does it say $10 after the heading?

1005
01:00:21.139 --> 01:00:22.139
That's the price of the book.

1006
01:00:22.459 --> 01:00:24.300
The price of the book.

1007
01:00:24.380 --> 01:00:25.441
Which would have been $100.

1008
01:00:25.501 --> 01:00:27.782
Yeah, this is a review of the book.

1009
01:00:27.822 --> 01:00:28.282
It's a $100 book.

1010
01:00:30.474 --> 01:00:32.615
Honestly, its logo does kind of look AI-generated, though.

1011
01:00:32.635 --> 01:00:38.879
If you go back to it, notice that it has, like, these weird kind of arrows sticking out of things, and then one part doesn't have arrows.

1012
01:00:38.939 --> 01:00:40.140
Oh, it's Claude's logo.

1013
01:00:40.160 --> 01:00:41.061
It's Claude's logo, you're right.

1014
01:00:41.261 --> 01:00:43.302
It's the Claude's logo.

1015
01:00:43.362 --> 01:00:44.523
It's a Claude butthole, yeah.

1016
01:00:45.284 --> 01:00:48.946
They stole the logo when they read this and stole the data.

1017
01:00:49.126 --> 01:00:49.746
Let's make sense.

1018
01:00:49.947 --> 01:00:50.667
All right, we'll see.

1019
01:00:51.568 --> 01:00:55.472
Claude created its own logo by stealing.

1020
01:00:55.872 --> 01:01:01.738
I liked the idea of boldly asking the question, how do you gruntle the buyer of memory sacks?

1021
01:01:04.143 --> 01:01:07.044
Because I've always wondered how you gruntle the buyer of memory stacks.

1022
01:01:07.364 --> 01:01:08.604
Can one define gruntle?

1023
01:01:09.244 --> 01:01:10.004
Yes, you can.

1024
01:01:10.104 --> 01:01:13.325
And I'm going to use it because it's not what it sounds like.

1025
01:01:13.665 --> 01:01:16.546
I'm going to use it in inappropriate ways in the future as well.

1026
01:01:17.186 --> 01:01:18.726
Oh, I love this definition.

1027
01:01:18.766 --> 01:01:19.107
Me too.

1028
01:01:19.307 --> 01:01:19.787
Me too.

1029
01:01:20.027 --> 01:01:20.847
Oh, my gosh.

1030
01:01:21.547 --> 01:01:25.108
Well, because disgruntled, right, is to be upset, to be made upset, right?

1031
01:01:25.148 --> 01:01:28.209
So gruntled is to be made not upset.

1032
01:01:28.589 --> 01:01:30.149
Yeah, is the opposite of disgruntled.

1033
01:01:31.049 --> 01:01:31.990
Right, like the eagles.

1034
01:01:32.570 --> 01:01:33.730
They became very gruntled.

1035
01:01:34.450 --> 01:01:36.051
Yes.

1036
01:01:36.431 --> 01:01:37.291
Communist China.

1037
01:01:37.691 --> 01:01:39.172
Post-sex spiral gruntled.

1038
01:01:39.612 --> 01:01:40.572
Yeah, exactly.

1039
01:01:40.772 --> 01:01:45.533
Communist China still posing a threat to our computer supremacy.

1040
01:01:46.334 --> 01:01:47.694
Very important to track.

1041
01:01:48.114 --> 01:01:53.156
They said within five years they would have computing technology.

1042
01:01:54.536 --> 01:01:55.837
That was what this estimate said.

1043
01:01:55.857 --> 01:02:00.618
They were 15 years behind currently, and then they would pull to five years behind in the next something.

1044
01:02:00.738 --> 01:02:03.319
Trash, what did you say?

1045
01:02:04.336 --> 01:02:04.837
Sorry, what?

1046
01:02:05.558 --> 01:02:06.539
What did Trash say?

1047
01:02:06.599 --> 01:02:07.921
Trash, say it louder.

1048
01:02:08.302 --> 01:02:09.423
It was a whisper joke.

1049
01:02:09.463 --> 01:02:11.446
I'll just say, I didn't know China existed in 68.

1050
01:02:11.486 --> 01:02:11.987
That's crazy.

1051
01:02:12.147 --> 01:02:13.109
Oh, dear.

1052
01:02:16.679 --> 01:02:17.560
That's a good one, Trash.

1053
01:02:17.680 --> 01:02:21.764
No one was actually supposed to hear it, but then you started laughing.

1054
01:02:23.206 --> 01:02:28.752
So this one is not funny or really interesting to anyone but probably me.

1055
01:02:29.573 --> 01:02:37.581
And that is that if you look up, like, on Wikipedia, this is one of those ones where I'm like, oh, man, I'm not doing another one of these talks.

1056
01:02:37.781 --> 01:02:38.002
But.

1057
01:02:39.160 --> 01:02:53.826
If you look up on Wikipedia what the first ray traced image was, it will tell you that the first ray traced image was like published about in April 1968 by a guy named.

1058
01:02:54.327 --> 01:02:55.527
Oh, what was his name?

1059
01:02:56.288 --> 01:02:56.848
I don't remember.

1060
01:02:57.308 --> 01:02:57.588
Sorry.

1061
01:02:59.369 --> 01:02:59.449
I.

1062
01:03:00.358 --> 01:03:12.191
But randomly going through the 1968 datamations, here is three ray traced images in an advertisement for a service that does ray tracing for you.

1063
01:03:12.211 --> 01:03:13.653
Right.

1064
01:03:13.713 --> 01:03:14.774
And this is February 1968.

1065
01:03:14.814 --> 01:03:14.914
So...

1066
01:03:18.865 --> 01:03:23.627
I guess Odin being noteworthy is not the only thing Wikipedia maybe doesn't quite have correct in there.

1067
01:03:24.048 --> 01:03:33.733
But I was like, oh, that's – I wonder where the actual first ray traced images came from because they probably aren't the ones sighted.

1068
01:03:34.813 --> 01:03:56.778
uh in that in that wikipedia but i don't know so i wanted to do it for the very first time in an ad for a company that's been doing and selling yes i know uh so i don't know uh it's pretty it's pretty hard to say but you know made me want to look into it more and that's it so that's what we got which is good because i think we're basically out of time anyway that was awesome

1069
01:03:58.037 --> 01:04:01.880
And that's just the first six months of 1968.

1070
01:04:02.161 --> 01:04:03.322
There's so much more.

1071
01:04:03.342 --> 01:04:04.723
It's insane.

1072
01:04:04.843 --> 01:04:05.423
It's crazy.

1073
01:04:05.583 --> 01:04:08.066
And by the way, if you like that Cope 45.

1074
01:04:08.326 --> 01:04:09.907
And two zigzags.

1075
01:04:11.028 --> 01:04:18.615
If you like the Cope 45, there's another ad for Cope later on in Datamation, later on in that year.

1076
01:04:19.255 --> 01:04:21.818
where the cope logo is huge.

1077
01:04:22.158 --> 01:04:23.379
So I can try to get that.

1078
01:04:23.459 --> 01:04:25.842
I could try to grab a screenshot of that one for you.

1079
01:04:26.102 --> 01:04:27.944
Just this big cope computer.

1080
01:04:29.245 --> 01:04:30.967
I'll go dig that one up later today.

1081
01:04:32.543 --> 01:04:33.424
That was great.

1082
01:04:33.444 --> 01:04:35.405
And so all of this is in service to your...

1083
01:04:36.006 --> 01:04:36.266
Sorry.

1084
01:04:36.306 --> 01:04:37.967
I was just... Go ahead, Prime.

1085
01:04:37.987 --> 01:04:38.227
Go ahead.

1086
01:04:38.247 --> 01:04:38.688
You take it.

1087
01:04:38.708 --> 01:04:38.868
Okay.

1088
01:04:38.888 --> 01:04:42.170
I was just going to say, in all of this kind of research, this is all the side research.

1089
01:04:42.190 --> 01:04:45.653
This is how Unbroken got discovered.

1090
01:04:45.913 --> 01:04:52.979
This is the same process where you're just doing a lot of side research for the root of the root of all evil is premature optimization.

1091
01:04:53.730 --> 01:05:08.173
Yeah, because, you know, like I said, to me, the interesting part of these history talks is not like I don't really want to tell people what to think about the topic because that's more of like an op-ed kind of a thing.

1092
01:05:08.193 --> 01:05:15.015
That's like, oh, let me tell you what I think about, you know, optimization or something like that, which is fine, you know, and that's a different kind of article.

1093
01:05:15.035 --> 01:05:20.496
But when you're doing these history talks, what I kind of want to do is I want to go feel like I kind of know the time period.

1094
01:05:20.916 --> 01:05:29.738
I want to, as much as possible, like put my brain back there by reading all of the things that were going on at the time and stuff like reading their trade magazines and all this sort of stuff.

1095
01:05:30.918 --> 01:05:34.779
And then try to give you a feeling for like, this is when this thing was said.

1096
01:05:34.839 --> 01:05:36.980
Like, this is actually what was going on at the time.

1097
01:05:37.000 --> 01:05:38.800
This is where these people were in their lives.

1098
01:05:39.200 --> 01:05:40.481
This is what they were thinking about.

1099
01:05:40.521 --> 01:05:42.301
This is how their personal lives were or whatever.

1100
01:05:42.401 --> 01:05:42.561
Right.

1101
01:05:43.041 --> 01:05:44.822
Just to kind of like put you back there.

1102
01:05:45.142 --> 01:05:48.783
And I, to me, it's really, really cool to have that experience.

1103
01:05:51.383 --> 01:05:54.186
I only can get a little bit of that across in the talk, right?

1104
01:05:54.206 --> 01:05:56.748
Like I get some of it across as best I can.

1105
01:05:56.848 --> 01:06:01.492
But, you know, if I go back and look at the talk, I'm just like, yeah, I only got a little fraction.

1106
01:06:01.552 --> 01:06:06.476
Like I tried my best, but you can never really give the full impression of it.

1107
01:06:07.336 --> 01:06:12.320
When you actually go back and like read all this material, you get such a much more palpable sense of like, oh, okay.

1108
01:06:12.340 --> 01:06:15.083
Like I see what life was like and what they were thinking about, right?

1109
01:06:15.103 --> 01:06:15.243
Yeah.

1110
01:06:15.632 --> 01:06:21.013
Well, we'll link the full talk in the description so people can watch all of it in all of its glory, which will be great.

1111
01:06:21.033 --> 01:06:23.133
Don't forget to like and subscribe.

1112
01:06:23.153 --> 01:06:27.694
I think I watched the first like 30 or 45 minutes earlier today, but it's three hours long.

1113
01:06:27.754 --> 01:06:28.794
So, guys, sit down.

1114
01:06:29.415 --> 01:06:32.015
Get yourself a little jar of coffee.

1115
01:06:32.735 --> 01:06:33.915
Just a little jar.

1116
01:06:33.995 --> 01:06:36.496
It's actually only two hours long.

1117
01:06:36.576 --> 01:06:37.296
There's a Q.

1118
01:06:37.376 --> 01:06:39.697
It's like an hour long Q&A after it or something.

1119
01:06:39.757 --> 01:06:42.157
So, the actual talk is, I think, two.

1120
01:06:42.197 --> 01:07:06.127
hours uh yeah ginger bill who of course is makes a language called odin that is not noteworthy uh i've never i don't even know who he is i've never heard of this guy it's not there random guy i don't know they had some random guy interview that no one's ever heard of uh non-legendary completely unlegendary program designer yeah uh

1121
01:07:07.153 --> 01:07:19.997
Also, the talk was edited and post-produced in a program called Blick, which is a new video editor that was written in Odin.

1122
01:07:21.077 --> 01:07:28.039
The non-noteworthy language that they used to build the program that edited the talk you can watch, right?

1123
01:07:29.060 --> 01:07:32.801
So once again, Wikipedia really crushing it there.

1124
01:07:35.518 --> 01:07:38.540
There's a reason I never cite Wikipedia once in these talks.

1125
01:07:38.941 --> 01:07:45.966
It's because it's always a pretty crude approximation for actually going to the source material.

1126
01:07:45.986 --> 01:07:51.691
We have a rule where we try not to show many sources, if any sources, from Wikipedia.

1127
01:07:51.711 --> 01:07:55.074
We always try to find more of the original one.

1128
01:07:56.095 --> 01:07:56.455
Anyway...

1129
01:07:58.168 --> 01:07:59.909
Thanks everyone for checking it out.

1130
01:08:00.689 --> 01:08:01.650
And, uh, yeah.

1131
01:08:02.170 --> 01:08:07.792
Well, that makes me excited for just all the, like even just the sidebarring, because I don't know if, I don't know if you know the unbroken reference.

1132
01:08:08.492 --> 01:08:08.792
Uh, no.

1133
01:08:09.213 --> 01:08:09.433
Okay.

1134
01:08:09.473 --> 01:08:12.514
So the girl who wrote, um, Seabiscuit.

1135
01:08:13.256 --> 01:08:14.277
Oh, okay.

1136
01:08:14.477 --> 01:08:18.219
While she was doing research for Seabiscuit, she saw...

1137
01:08:18.479 --> 01:08:18.979
Yes, it is.

1138
01:08:19.800 --> 01:08:26.623
While she was doing the research, she saw a column that just said, man who survived Japanese internment camp comes back and everybody celebrates him.

1139
01:08:26.683 --> 01:08:29.805
And she just set it aside and then she later went through that.

1140
01:08:29.845 --> 01:08:30.446
It's just like this.

1141
01:08:30.786 --> 01:08:34.368
Going through the history and reading newspapers, you find all these fun side quests.

1142
01:08:34.828 --> 01:08:35.889
Oh, absolutely.

1143
01:08:36.409 --> 01:08:36.869
Absolutely.

1144
01:08:36.889 --> 01:08:37.209
This is awesome.

1145
01:08:37.229 --> 01:08:37.389
Yeah.

1146
01:08:38.250 --> 01:08:38.430
Yeah.

1147
01:08:39.407 --> 01:08:43.850
Prime chat wants you to watch the whole thing on stream and turn it into an eight hour reaction.

1148
01:08:45.361 --> 01:08:46.762
They said that about the big oops, too.

1149
01:08:47.343 --> 01:08:47.763
Yeah, they did.

1150
01:08:47.783 --> 01:08:48.003
I know.

1151
01:08:48.023 --> 01:08:48.764
They're still waiting.

1152
01:08:48.984 --> 01:08:49.905
They're still waiting.

1153
01:08:50.025 --> 01:08:53.989
I mean, Casey, can I have permission to do all eight-hour stream of it?

1154
01:08:54.409 --> 01:08:56.551
I mean, you had my permission for the big oops as well.

1155
01:08:56.611 --> 01:09:04.418
You have my permission to eight-hourify this or 16-hourify it or any hours you want, Prime.

1156
01:09:04.578 --> 01:09:08.221
Extra Life is coming up where we do a charity drive for kids.

1157
01:09:08.642 --> 01:09:10.784
I could react to the big oops.

1158
01:09:11.404 --> 01:09:34.697
end of that it will take 24 hours for me go right ahead go right ahead i would love it good idea that would be fantastic okay that's a good idea prime i can do that on the schedule i think but remember google or youtube does have a 10 hour video limits so there is gonna be uh it'll be parts installments it's gonna be like episodic reacting to the big oops part one

1159
01:09:39.189 --> 01:10:03.636
yes well hey I love that this was awesome thank you so much Casey for joining us today on the stand up you made today a legendary stand up with your information I like his intro he's like we have a special guest today who is on every episode that was good actually Prime and Trash both of you guys need to watch Colossus and Chatters you guys have to watch it too

1160
01:10:06.111 --> 01:10:06.271
What?

1161
01:10:06.732 --> 01:10:08.614
Colossus is the X-Men villain.

1162
01:10:09.054 --> 01:10:09.334
Is it him?

1163
01:10:09.354 --> 01:10:10.435
I know, but it's not that at all.

1164
01:10:10.455 --> 01:10:11.596
It's not related to that at all.

1165
01:10:12.057 --> 01:10:16.962
Isn't Colossus the invincible one in X-Men that they have to like... Yeah, like the purple helmet.

1166
01:10:16.982 --> 01:10:18.343
Is 1970 before X-Men existed?

1167
01:10:18.383 --> 01:10:20.946
I don't know when X-Men existed first initially.

1168
01:10:21.026 --> 01:10:22.207
I probably just made a lot of people know.

1169
01:10:22.207 --> 01:10:25.029
I think based on the lore, they were in the 60s, if I'm not mistaken.

1170
01:10:25.049 --> 01:10:33.855
By the way, Kyle Hill does have an excellent video breaking down the Ice X-Man that if he were to shoot ice, he would actually explode like TNT and kill everybody around him.

1171
01:10:34.215 --> 01:10:35.936
Very good breakdown of energy transfer.

1172
01:10:36.116 --> 01:10:38.698
I was assigning homework, and it's watching a movie.

1173
01:10:38.818 --> 01:10:39.898
I'm the best teacher.

1174
01:10:39.999 --> 01:10:41.840
Okay, you guys have to watch a movie for homework.

1175
01:10:41.980 --> 01:10:43.901
Everyone come ready with their thoughts next week.

1176
01:10:43.941 --> 01:10:46.142
We'll do a little brief, you know, we'll parking lot.

1177
01:10:46.162 --> 01:10:47.804
Can you put the name in the Discord?

1178
01:10:47.824 --> 01:10:48.564
Yeah, can you link it?

1179
01:10:48.584 --> 01:10:51.006
I'll send you the link to the right one in Discord.

1180
01:10:51.146 --> 01:10:51.466
Yeah, yeah.

1181
01:10:52.507 --> 01:10:53.808
Also, Ginger Bill has an excellent point.

1182
01:10:53.828 --> 01:10:55.850
There were technically 22 men before X-Men.

1183
01:10:56.650 --> 01:10:59.172
There's the A-Men, the B-Men, the C-Men.

1184
01:10:59.373 --> 01:11:02.435
I was like, huh?

1185
01:11:03.016 --> 01:11:04.176
They're kind of late.

1186
01:11:04.377 --> 01:11:07.759
See, I was a C-Man.

1187
01:11:08.800 --> 01:11:09.781
Trash, we all were.

1188
01:11:09.821 --> 01:11:10.642
You was a C-Man.

1189
01:11:11.002 --> 01:11:12.063
I was a C-Man.

1190
01:11:12.123 --> 01:11:12.683
Literally.

1191
01:11:13.364 --> 01:11:15.426
That's why I said we all were.

1192
01:11:16.106 --> 01:11:19.389
Okay, let's end the episode, please, fast.

1193
01:11:19.429 --> 01:11:20.430
Bye, everybody.

1194
01:11:20.510 --> 01:11:22.111
Bye-bye.

1195
01:11:22.497 --> 01:11:23.898
I boot up the day.

1196
01:11:25.660 --> 01:11:26.400
Vibe coping.

1197
01:11:27.001 --> 01:11:29.663
Errors on my screen.

1198
01:11:30.123 --> 01:11:31.604
Terminal copy.