WEBVTT - Monologue: AI Is Making The Tech Industry Weak

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<v Speaker 1>Zone Media, Hello and welcome to this week's Better Offline Monologue.

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<v Speaker 1>I'm your host ed Zetron. Sorry about no monologue last week.

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<v Speaker 1>I've had a very tough few months and needed a break,

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<v Speaker 1>and honestly I'm still flagging a bit, but there's too

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<v Speaker 1>much shit going on for me to stop talking, and

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<v Speaker 1>I love doing this job too much anyway. Earlier in

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<v Speaker 1>this week, I ran a newsletter that I'll likely be

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<v Speaker 1>turning into a few episodes about how few data centers

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<v Speaker 1>are actually getting built, and found that the vast majority

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<v Speaker 1>of those that broke ground in twenty twenty three and

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<v Speaker 1>twenty twenty four are yet to be completed. My working

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<v Speaker 1>theory is now that barely any capacity is coming online,

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<v Speaker 1>and that's why Anthropic had to buy up all three

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<v Speaker 1>hundred megawats of Elon Musk's Colusus one data center capacity,

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<v Speaker 1>because there are no other options out there other than

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<v Speaker 1>the guy who said that Anthropic was misanthroopic and evil,

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<v Speaker 1>an embarrassing insult when you could just say that Dario

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<v Speaker 1>Amma Day sounds like he's doing Elizabeth Holmes's Steve Jobs voice.

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<v Speaker 1>In any case, I think we're in the good old

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<v Speaker 1>fashioned bullshit phase of the bubble. I know some of

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<v Speaker 1>you will say, but data centers are getting built, But

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<v Speaker 1>what you mean is that data centers are under construction.

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<v Speaker 1>They are not, for the most part, being finished. Across

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<v Speaker 1>every Microsoft data center announced since twenty twenty three, I

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<v Speaker 1>found two Fairwater, Wisconsin and Atlanta, that were anything close

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<v Speaker 1>to complete, and despite Microsoft saying that they're both operational,

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<v Speaker 1>they're actually both stuck on the initial phases. I think

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<v Speaker 1>there's some capacity online, but even then I'm not really sure.

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<v Speaker 1>I saw an article in the local newspaper saying that Fairwall,

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<v Speaker 1>Wisconsin wasn't even working. Now. Microsoft has also claim that

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<v Speaker 1>it brought on a gigawatt of capacity in each of

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<v Speaker 1>the last two quarters, and I think it's using a

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<v Speaker 1>different definition of capacity than operational data centers. It's weird.

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<v Speaker 1>It's fucking strange. I'm sorry. I know I meant to

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<v Speaker 1>be articulate and talk about economics and some shape, but

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<v Speaker 1>I'm just I'm kind of tired of it. We're four

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<v Speaker 1>years in and even the largest companies in the world

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<v Speaker 1>still describe their return on investment like the the fucking Riddler.

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<v Speaker 1>How much capacity do you have, Satya? Why don't we know,

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<v Speaker 1>why don't we know how much you actually made on ai?

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<v Speaker 1>Why are you still using run rate? This is strange.

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<v Speaker 1>What's going on? About to fall into Tucker Carlson voice there,

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<v Speaker 1>But nonetheless, for my article, I actually reached out to

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<v Speaker 1>Microsoft to confirm these things, and they said they get

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<v Speaker 1>back to me last Monday, and then they just stopped replying.

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<v Speaker 1>That's generally what people do when they're hiding something, and

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<v Speaker 1>I'm tired of that too. I'm tired of the fact

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<v Speaker 1>that these companies won't just give me a straight answer,

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<v Speaker 1>or you a straight answer, or their investors a straight answer.

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<v Speaker 1>It's frustrating. And I know you're frustrated too, dear listener,

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<v Speaker 1>and I know you keep asking when this shit ends.

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<v Speaker 1>I truly don't know at this point, and I'll explain.

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<v Speaker 1>The obfuscative finances of these firms are so thoroughly mangled

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<v Speaker 1>that it's hard to tell a fanthropic thirty billion dollars

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<v Speaker 1>in the bank or thirty dollars. It's fundamentally impossible to

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<v Speaker 1>understand how much money open ai actually makes, because both

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<v Speaker 1>I and the Information have now published very different numbers.

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<v Speaker 1>Mine are much lower, billions lower. For twenty twenty five.

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<v Speaker 1>I mean I don't have the final quarter, and I

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<v Speaker 1>will say that I can speak to mine with complete certainty.

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<v Speaker 1>Is these are the kind of financials that are borderline

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<v Speaker 1>impossible to lie about, unlike investor documents, which usually well

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<v Speaker 1>are full of them. Now, I want to be clear,

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<v Speaker 1>I am not even accusing open ai of lying. I'm

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<v Speaker 1>sure whatever it's handed over to investors has more asterisks

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<v Speaker 1>on it than Cubert reading mind comp I'm sure it

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<v Speaker 1>says that these are non gap numbers generally accepted accounting principles,

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<v Speaker 1>which means that they could be any number of different

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<v Speaker 1>versions of Ebittenstein's monster. It's hard to tell how much

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<v Speaker 1>open ai is spending, which makes it harder to tell

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<v Speaker 1>how much money it needs or when it might run

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<v Speaker 1>out a bit. If open ai closes this entire one

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<v Speaker 1>hundred and twenty two two billion dollar round in VideA

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<v Speaker 1>and soft Bank are paying in three monthly chunks like

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<v Speaker 1>a fucking Klana plan, and Amazon's thirty five billion dollars

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<v Speaker 1>contingent on either IPO or Agi. Open air will have

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<v Speaker 1>if they successfully do this, would have raised over one

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<v Speaker 1>hundred and sixty billion dollars in the space of a year.

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<v Speaker 1>And even if it doesn't, it will have raised then

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<v Speaker 1>I seem spent most of around seventy billion dollars or

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<v Speaker 1>more in the space of a year. That's so much money.

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<v Speaker 1>Where's it gone? Wherever has it gone? Sammy? Do you

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<v Speaker 1>think they know? Do you think any of these people know?

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<v Speaker 1>Do you think they really know how their finances are doing?

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<v Speaker 1>Because according to open Ai CFO Sarah Fisher, they are

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<v Speaker 1>and I quote the Wall Street Journal here, not ready

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<v Speaker 1>for the scrutiny that comes with being a public company.

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<v Speaker 1>It's pretty worrying to me considering how much money mister

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<v Speaker 1>Ortman is now on the hook for and how much

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<v Speaker 1>money he's taken in. Similarly, his equally damp friend, mister

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<v Speaker 1>Warrio amade of Anthropic is now raising at a scale

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<v Speaker 1>unheard of other than when it just happened with open Ai,

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<v Speaker 1>by which I mean that if it's rounds with Google

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<v Speaker 1>and Amazon fully close, Anthropic will have raised over one

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<v Speaker 1>hundred billion dollars in the space of a year. And

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<v Speaker 1>again it doesn't seem to want to go public. Why not,

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<v Speaker 1>mister Amiday? What do you have to hide? What's going on?

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<v Speaker 1>And now mister Amaday is out raising another fifty billion

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<v Speaker 1>dollars that must close in twenty four hours. No wait, sorry,

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<v Speaker 1>that was a few weeks ago. Now, I mean it's

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<v Speaker 1>thirty billion to fifty billion dollars that might close by

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<v Speaker 1>the end of the month. And yes, that is the

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<v Speaker 1>order of the events. And again, no one, no one

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<v Speaker 1>seems to think this is strange. No one in the

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<v Speaker 1>media seems to seem to think this is strange. No

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<v Speaker 1>one seems to be concerned about this at all. I'm

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<v Speaker 1>actually kind of deeply worried about all of this because

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<v Speaker 1>these companies may go public, and if they go public,

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<v Speaker 1>well they're going to lose everyone's money if they invest.

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<v Speaker 1>But if they don't go public, it's still a bunch

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<v Speaker 1>of money that's gone into them that's just potentially gone nowhere. Anyway,

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<v Speaker 1>this is kind of exciting, I'll admit it's kind of exciting.

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<v Speaker 1>That's a bizarre thing to say. I know, it's strange

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<v Speaker 1>to suggest that this might be an exciting thing because

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<v Speaker 1>the stakes have been raised so much that eventually one

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<v Speaker 1>or more of us is going to be proven correct.

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<v Speaker 1>It's going to be me or the boosters. And if

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<v Speaker 1>the boosters are right here, this is crazy. I don't

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<v Speaker 1>think they're right at all. Gone to my head. I

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<v Speaker 1>think Anthropic is doing some sort of very bizarre accounting,

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<v Speaker 1>likely taking in API payments paid in advance. To explain,

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<v Speaker 1>I think it's possible they are counting an organization paying

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<v Speaker 1>its tokens upfront, say fifty million dollars that's likely to

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<v Speaker 1>last twelve months, and acting is if that's a month

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<v Speaker 1>of actual revenue, versus accounting for it spread out over

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<v Speaker 1>twelve months, artificially inflating the run rate by a factor

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<v Speaker 1>of over one thousand percent. To explain, AR is just

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<v Speaker 1>month times twelve. So if they say, if fifty million

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<v Speaker 1>dollars is meant to be spread over twelve months, counting

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<v Speaker 1>it in a single month and multiplying, that's kind of bullshit.

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<v Speaker 1>I don't know for certain if this is what's happening,

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<v Speaker 1>but pre selling tokens and using it to drive up

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<v Speaker 1>AURR is a way It makes sense. And also it

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<v Speaker 1>is not the first time this has happened. There are

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<v Speaker 1>plenty of startups that have done this bullshit in the past,

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<v Speaker 1>some of them in the dot com bubble. I find

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<v Speaker 1>the alternative a little ridiculous. Anthropic CFO Krishna Rao said,

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<v Speaker 1>on March sixth, twenty twenty six, that Anthropic had made

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<v Speaker 1>five billion dollars in lifetime revenue. He said, exceeding, but

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<v Speaker 1>if it was much higher than that, he would have

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<v Speaker 1>said a different number. If that's the case, Anthropics suddenly

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<v Speaker 1>grew its business were a few hundred million dollars in

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<v Speaker 1>January to a few billion dollars a month in April.

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<v Speaker 1>This is, on an accounting basis, a step change in complexity.

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<v Speaker 1>It's a step change in customers scale. Anthropic must have

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<v Speaker 1>had to hire and scale at a speed that defies

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<v Speaker 1>all logic to keep up. They've been handling so much

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<v Speaker 1>fucking cash in their brand new at this Also, Krishna

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<v Speaker 1>raw the CFO, got interviewed recently on one of the

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<v Speaker 1>many Booster podcasts where they just sit there and let

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<v Speaker 1>you say what you want for an hour, and he

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<v Speaker 1>said that the largest user of tokens in Anthropic is

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<v Speaker 1>their tax person. That's the one person I would never

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<v Speaker 1>let use. In all of them, I would slap their

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<v Speaker 1>hands if I saw them using claud I'd be very worried.

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<v Speaker 1>But Krishna seems very excited about this. He's talking about

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<v Speaker 1>how all of this is speeding up all of their

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<v Speaker 1>all of our accounting. And I must be clear, when

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<v Speaker 1>you're handling billions of dollars very suddenly coming in, you

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<v Speaker 1>don't want to rush the fucking accounting, Krishna. You need

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<v Speaker 1>to calm your fucking jaws a little bit. Fucking just

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<v Speaker 1>it's so ridiculous, and it's ridiculous that I am somehow

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<v Speaker 1>unique in the way I cover this, that I am

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<v Speaker 1>unique in my scrutiny. I don't know why, am I mean?

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<v Speaker 1>I do. It's much easier to not scrutinize these companies

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<v Speaker 1>and just applaud whenever you see a big number. But

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<v Speaker 1>I think it's letting down listeners and readers across the

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<v Speaker 1>board to not approach this and replace of scrutiny, even

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<v Speaker 1>if you think this will work out, even if you

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<v Speaker 1>believe AI will be the biggest most you just thing. Ever,

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<v Speaker 1>I think it's a detriment to your listeners and readers

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<v Speaker 1>to not approach this with a high degree of skepticism

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<v Speaker 1>and scrutiny because this is so much money. And here's

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<v Speaker 1>the thing, maybe Christna's being asked, maybe there are at

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<v Speaker 1>thirty billion, fifty billion, whoever knows there are, And it's

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<v Speaker 1>just this amazing business, or maybe it just isn't that big,

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<v Speaker 1>or the business isn't that good. Maybe that's what it is.

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<v Speaker 1>Do you think do you think that that I would

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<v Speaker 1>be very shocked if Anthropic grew from making a couple

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<v Speaker 1>hundred million dollars in one November last year to four

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<v Speaker 1>billion dollars in April. I'd be really fucking shocked. And

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<v Speaker 1>I think that there is a if that is how.

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<v Speaker 1>It's because of the largest papig ai psychosis in the world,

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<v Speaker 1>which you'll get to in a bit. But I've had

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<v Speaker 1>some people recently say that I am not talking about

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<v Speaker 1>the tech enough, and I want to explain why. And

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<v Speaker 1>it's the fact that four years into this, I'm just

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<v Speaker 1>not sure what it is everybody's excited about. What are

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<v Speaker 1>the big AI applications that they're changing my life? Every

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<v Speaker 1>two days Anthropic releases some sort of new harness product

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<v Speaker 1>for finance, law or medicine or accountancy, leading to someone

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<v Speaker 1>stopped crashing based on the theoretical damage that Anthropics product

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<v Speaker 1>could cause without anybody actually trying it or verifying what

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<v Speaker 1>it does, or even explaining why it fucking maps? What

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<v Speaker 1>is it that I am meant to be excited about.

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<v Speaker 1>What is it that I'm meant to be impressed by?

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<v Speaker 1>But ultimately, the reason that anthropics releasing so much stuff

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<v Speaker 1>is it's flak. It's meant to be an impossible to

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<v Speaker 1>pass blob of different things that create the gestalt of

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<v Speaker 1>an indomitable company that can do anything because the markets

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<v Speaker 1>and the media don't bother check. We hear about everybody

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<v Speaker 1>using this shit day in day out. Why has nothing changed?

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<v Speaker 1>What a business is doing differently? How are they different?

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<v Speaker 1>What is different? What is it that llms are actually doing?

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<v Speaker 1>These should not be difficult to complex questions to answer,

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<v Speaker 1>but nobody seems to be able to give me an

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<v Speaker 1>answer with any real clarity or specificity. Every time they do,

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<v Speaker 1>it's a weird dance involving someone saying I now get

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<v Speaker 1>a summary of some stuff from my open claw, or

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<v Speaker 1>of course some sort of multi agent coding fiasco that

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<v Speaker 1>never actually ends with functional or impressive software or anything

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<v Speaker 1>being shipped faster and look on the coding stuff. I'm sorry,

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<v Speaker 1>I'm just not that impressed. I speak regularly with very

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<v Speaker 1>talented software engineers, and their reaction is it's kind of cool.

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<v Speaker 1>I guess it's not anywhere here as good as people say,

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<v Speaker 1>or This allows bad software engineers to do impressions of

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<v Speaker 1>functional software engineers, which creates material risk to the stability, functionality,

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<v Speaker 1>and security of software because people trust these people who

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<v Speaker 1>cannot do their jobs, which has begun to decay across

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<v Speaker 1>the board across the entire tech industry with the rise

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<v Speaker 1>of AI coding tools. It sounds like LLM coding is

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<v Speaker 1>a very inefficient way to sometimes speed up some things

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<v Speaker 1>in a way that also creates a culture of overwork

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<v Speaker 1>and either constant bullshit detection or something I call the

0:12:20.200 --> 0:12:23.000
<v Speaker 1>engineer's torpor, a state where your senses are dulled and

0:12:23.040 --> 0:12:24.719
<v Speaker 1>you stop giving as much of a shit into a

0:12:24.800 --> 0:12:27.720
<v Speaker 1>ship breaks and you realize your eight concurrent agents are

0:12:27.720 --> 0:12:30.120
<v Speaker 1>burning three hundred dollars a day of tokens and have

0:12:30.160 --> 0:12:32.840
<v Speaker 1>written two and a half million lines of functional, yet

0:12:32.840 --> 0:12:36.320
<v Speaker 1>brittle software designed with no intent or purpose. Like an

0:12:36.320 --> 0:12:38.720
<v Speaker 1>apartment where the rooms vary in size and the number

0:12:38.720 --> 0:12:42.239
<v Speaker 1>of bedrooms and the toilets are different, with varying finishings

0:12:42.280 --> 0:12:45.800
<v Speaker 1>and the plumbings different room to room. I guess people

0:12:45.880 --> 0:12:47.520
<v Speaker 1>could live there, but it would be a paid in

0:12:47.559 --> 0:12:49.800
<v Speaker 1>the ass to run and get worse the more people

0:12:49.800 --> 0:12:53.640
<v Speaker 1>that moved in. The more agency you give a coding model,

0:12:53.679 --> 0:12:56.199
<v Speaker 1>the less you understand what it is you're building, no

0:12:56.320 --> 0:12:58.720
<v Speaker 1>matter how intently you prompted, or how many agents you

0:12:58.760 --> 0:13:00.839
<v Speaker 1>throw it in, and how weird little tweaks you make

0:13:00.880 --> 0:13:03.800
<v Speaker 1>to your clawed MD file. The more that you don't build,

0:13:03.840 --> 0:13:06.880
<v Speaker 1>the less that it makes sense to make. Matters worse.

0:13:06.920 --> 0:13:09.040
<v Speaker 1>The more you hand over, the more rusty you're going

0:13:09.040 --> 0:13:11.960
<v Speaker 1>to be at writing code. The shit isn't good enough,

0:13:11.960 --> 0:13:15.240
<v Speaker 1>it's not getting good enough, and it cannot be trusted.

0:13:15.440 --> 0:13:17.520
<v Speaker 1>And my evidence is that a lot of software is

0:13:17.559 --> 0:13:19.400
<v Speaker 1>just kind of fucking broken all over the shop in

0:13:19.440 --> 0:13:22.439
<v Speaker 1>ways that's so common that we're entirely numb to it.

0:13:23.000 --> 0:13:25.800
<v Speaker 1>We are tolerant of our ship being broken or terribly designed.

0:13:26.000 --> 0:13:29.240
<v Speaker 1>It was a problem before LLMS, and it's got worse since.

0:13:30.080 --> 0:13:33.400
<v Speaker 1>Let me give you some examples. Sometimes my iPhone will

0:13:33.480 --> 0:13:36.600
<v Speaker 1>randomly show a black scream of the pinwheel. It just resets.

0:13:36.720 --> 0:13:39.200
<v Speaker 1>It's fine, it'll even keep playing my music. It's happened

0:13:39.200 --> 0:13:43.439
<v Speaker 1>every iPhone for years. It sometimes it doesn't happen for months.

0:13:43.480 --> 0:13:46.800
<v Speaker 1>Sometimes it happens multiple times a week. Sometimes apps just

0:13:47.000 --> 0:13:49.520
<v Speaker 1>arbitrarily slow down my phone isn't hot or anything. They

0:13:49.640 --> 0:13:52.560
<v Speaker 1>just slow to a crawl on Chrome when I load

0:13:52.640 --> 0:13:55.800
<v Speaker 1>certain websites like tech Crunch. For some reason, my two

0:13:55.920 --> 0:13:58.839
<v Speaker 1>year old MacBook Pro sixteen inch with Ultra M three

0:13:58.960 --> 0:14:01.439
<v Speaker 1>core or what have you. And I said, well, look, actually,

0:14:01.480 --> 0:14:05.800
<v Speaker 1>while we're live on airs. See I have sixty four

0:14:05.800 --> 0:14:09.120
<v Speaker 1>gigabytes of RAM and this shit slows down because some

0:14:09.160 --> 0:14:12.280
<v Speaker 1>ad cookies it doesn't like. Insane. A lot of popular

0:14:12.360 --> 0:14:15.160
<v Speaker 1>video games crash regularly. The Maden franchises looked like total

0:14:15.200 --> 0:14:17.360
<v Speaker 1>shit for years and is getting worse each time. The

0:14:17.440 --> 0:14:21.360
<v Speaker 1>menus are incredibly slow, the Google docs, iPhone and iPad

0:14:21.360 --> 0:14:23.560
<v Speaker 1>apps are so unstable I want to take away their

0:14:23.600 --> 0:14:25.440
<v Speaker 1>car keys, on top of having some of the most

0:14:25.520 --> 0:14:28.480
<v Speaker 1>vexing design decisions across the board, almost as if they

0:14:28.520 --> 0:14:32.800
<v Speaker 1>don't know how to make things right anymore. And let's

0:14:32.840 --> 0:14:36.760
<v Speaker 1>talk about all those organizations burning what ten, twenty, thirty

0:14:36.760 --> 0:14:40.000
<v Speaker 1>percent or more of their headcount on tokens. This is

0:14:40.040 --> 0:14:45.520
<v Speaker 1>a sickness. It is a psychosis. The amounts of money

0:14:45.680 --> 0:14:50.680
<v Speaker 1>being spent are genuinely disgusting. Any company that spends anything

0:14:50.720 --> 0:14:53.480
<v Speaker 1>more than five percent on their headcount on tokens is

0:14:53.520 --> 0:14:57.880
<v Speaker 1>a fucking Mark, Your businesses are not getting better. Your

0:14:57.960 --> 0:15:01.920
<v Speaker 1>CEOs have ai psycho. The more they speak to the

0:15:01.960 --> 0:15:04.440
<v Speaker 1>machine that tells them they're the smartest, sexiest boy in

0:15:04.440 --> 0:15:07.120
<v Speaker 1>the room, the more they'll be convinced that you must

0:15:07.200 --> 0:15:10.840
<v Speaker 1>join them. They do not see this as annihilating money

0:15:10.840 --> 0:15:13.800
<v Speaker 1>for effectively no reason. They see it as praying to

0:15:13.960 --> 0:15:19.480
<v Speaker 1>a soulless, non existent god, a non spiritual god made

0:15:19.560 --> 0:15:24.200
<v Speaker 1>up of more annoying math, requiring the largest amount of

0:15:24.240 --> 0:15:28.200
<v Speaker 1>infrastructure spent on anything ever. It fucking sick. It is

0:15:28.320 --> 0:15:30.640
<v Speaker 1>just fucking sucks. I'm not correcting that, but you'll just

0:15:30.720 --> 0:15:34.880
<v Speaker 1>have to deal with that. Okay, this is what happens

0:15:35.120 --> 0:15:38.520
<v Speaker 1>when every boss is a fucking business idiot who doesn't

0:15:38.560 --> 0:15:41.680
<v Speaker 1>actually do any work. What do you think Mark Zuckerberg

0:15:41.680 --> 0:15:44.200
<v Speaker 1>does all day? But he walks into it, walks up

0:15:44.200 --> 0:15:45.840
<v Speaker 1>to the mirror. Sometimes she looks down at his willy

0:15:45.880 --> 0:15:48.000
<v Speaker 1>and goes, what are you? What do you do? What

0:15:48.080 --> 0:15:51.080
<v Speaker 1>are you for? What is your concept? Or he walks

0:15:51.080 --> 0:15:53.360
<v Speaker 1>into rooms and bumbles in there and he says we

0:15:53.480 --> 0:15:55.800
<v Speaker 1>need to do more on the exponential, and then some

0:15:56.080 --> 0:15:59.240
<v Speaker 1>wretched worm tongue like figure like boss or Adam Mursky

0:15:59.360 --> 0:16:01.960
<v Speaker 1>oinks in Skar walks at one of two thousand different

0:16:02.040 --> 0:16:05.680
<v Speaker 1>Vice presidents to spread his nasty, vague ideas, whatever they

0:16:05.800 --> 0:16:09.520
<v Speaker 1>might actually be. If you're lucky, you might even get

0:16:09.560 --> 0:16:12.640
<v Speaker 1>to deal with one of five different dysfunctional AI divisions

0:16:12.640 --> 0:16:16.000
<v Speaker 1>with different ultraovs that you have to placate as Mark

0:16:16.080 --> 0:16:19.000
<v Speaker 1>Zuckerberg does something with AI that seems to change every

0:16:19.040 --> 0:16:21.560
<v Speaker 1>fucking week. Not to worry the Wall Street Jonal or

0:16:21.640 --> 0:16:24.800
<v Speaker 1>cover it anyway. And I think that this is how

0:16:24.840 --> 0:16:27.200
<v Speaker 1>a lot of Silicon Valley and a lot of businesses

0:16:27.200 --> 0:16:30.120
<v Speaker 1>are being run. I think that's how Jack Dawsey acts

0:16:30.120 --> 0:16:33.120
<v Speaker 1>about It's how Uber's run. Think of an app you're

0:16:33.240 --> 0:16:36.640
<v Speaker 1>using right now that's anything other than okay? Do you

0:16:36.760 --> 0:16:40.400
<v Speaker 1>love any app? Does anything work great for you? I

0:16:40.480 --> 0:16:43.280
<v Speaker 1>like Flighty Flight, He's a good app. That's one. Even

0:16:43.360 --> 0:16:46.480
<v Speaker 1>the Apple Notes app I use constantly doesn't sink right

0:16:46.760 --> 0:16:49.080
<v Speaker 1>at random for no reason and has a bunch of

0:16:49.200 --> 0:16:52.160
<v Speaker 1>random shit come up whenever I choose the menu. Everything's

0:16:52.160 --> 0:16:55.240
<v Speaker 1>a fucking mess. Nothing is smooth or easy. I have

0:16:55.280 --> 0:16:57.600
<v Speaker 1>to log into something every four minutes. I have to

0:16:57.600 --> 0:17:00.880
<v Speaker 1>give somebody a two FA token every six minute. Sometimes

0:17:00.960 --> 0:17:03.000
<v Speaker 1>Google just logs me out of shit for no reason.

0:17:03.440 --> 0:17:07.359
<v Speaker 1>Sometimes my email client loses its access to Outlook or Gmail,

0:17:07.480 --> 0:17:11.520
<v Speaker 1>and sometimes my password system hasn't saved a password and

0:17:11.560 --> 0:17:13.119
<v Speaker 1>I have to reset my password. I have to go

0:17:13.200 --> 0:17:15.240
<v Speaker 1>to my email and there's three fucking emails from a

0:17:15.280 --> 0:17:17.840
<v Speaker 1>pizza place I visited in New Jersey fifteen years ago.

0:17:18.000 --> 0:17:20.639
<v Speaker 1>And by the way, if you fucking email me and

0:17:20.680 --> 0:17:23.320
<v Speaker 1>tell me, get one password, get bit worn, and get

0:17:23.640 --> 0:17:28.119
<v Speaker 1>fuck you fuck off. It's so sickening that everyone thinks

0:17:28.160 --> 0:17:31.879
<v Speaker 1>that there is some panacea. Oh, my app works for me.

0:17:32.119 --> 0:17:34.840
<v Speaker 1>Apps do not work consistently across the board. That is

0:17:34.840 --> 0:17:38.679
<v Speaker 1>a unilateral truth. One password works well for one hundred

0:17:38.680 --> 0:17:41.040
<v Speaker 1>people and doesn't work well for fifty others. I've seen

0:17:41.040 --> 0:17:43.640
<v Speaker 1>it with my own fucking eyes. Same with last password,

0:17:43.760 --> 0:17:46.720
<v Speaker 1>same with bitworn. The state of these fucking companies is

0:17:46.800 --> 0:17:48.679
<v Speaker 1>dog shit. And I know I'm going to get emails

0:17:48.680 --> 0:17:51.320
<v Speaker 1>from people saying Bitwarden works, I pay for bitworn, don't

0:17:51.400 --> 0:17:53.760
<v Speaker 1>like it. Bay fucking works. It's a bit better than

0:17:53.760 --> 0:17:56.640
<v Speaker 1>one password. But it's like, which of these do I trust? Now?

0:17:57.160 --> 0:18:00.840
<v Speaker 1>What's being saved? Where I'm sick of it. I'm absolutely

0:18:00.880 --> 0:18:03.720
<v Speaker 1>sick of it. Apologies for getting heated. I know it's

0:18:03.800 --> 0:18:07.000
<v Speaker 1>atypical of this show for me to rant. Now, I

0:18:07.040 --> 0:18:09.439
<v Speaker 1>want to speak to if any LM coding people. The

0:18:09.520 --> 0:18:11.359
<v Speaker 1>real code jock is that if you use it a

0:18:11.359 --> 0:18:12.679
<v Speaker 1>bit of work. I don't care. But the people who

0:18:12.760 --> 0:18:15.320
<v Speaker 1>think that this is truly the most amazing thing to

0:18:15.440 --> 0:18:20.680
<v Speaker 1>any LLLM coding folks actually use software, it stinks. It's bloated,

0:18:21.320 --> 0:18:24.880
<v Speaker 1>it's counterintuitive, it's slow, it's inefficient. The ten or more

0:18:24.920 --> 0:18:27.400
<v Speaker 1>tracking cookies and one hundred APIs you connect to every

0:18:27.400 --> 0:18:30.639
<v Speaker 1>two seconds, for some reason, have created a sludge that

0:18:30.800 --> 0:18:33.760
<v Speaker 1>is making every single experience on the computer worse, doing

0:18:33.880 --> 0:18:37.240
<v Speaker 1>varying degrees of k fame to impress another dickhead with

0:18:37.320 --> 0:18:40.000
<v Speaker 1>two million dollars in RSUs doesn't make up for the

0:18:40.040 --> 0:18:42.320
<v Speaker 1>fact that the current state of software is fucking sad

0:18:42.320 --> 0:18:45.359
<v Speaker 1>and ugly across the board. Do you think the modern

0:18:45.400 --> 0:18:48.600
<v Speaker 1>state of software is good? And do you think the insecure,

0:18:48.680 --> 0:18:51.960
<v Speaker 1>bug ridden slop fest of openclaw is a good representative

0:18:51.960 --> 0:18:54.840
<v Speaker 1>of your industry's future. You should be burning it to

0:18:54.880 --> 0:18:57.840
<v Speaker 1>the ground. You should be killing open Claw. It's destroying

0:18:57.880 --> 0:19:01.480
<v Speaker 1>the fabric of software. Lllms make shitty code. I don't

0:19:01.480 --> 0:19:04.240
<v Speaker 1>care how it makes you feel. And I think it's

0:19:04.280 --> 0:19:07.480
<v Speaker 1>made a select few people genuinely mentally ill in a

0:19:07.480 --> 0:19:09.360
<v Speaker 1>way that we're yet to account for. And I don't

0:19:09.400 --> 0:19:12.840
<v Speaker 1>mean random people. I mean prominent vcs and CEOs and

0:19:12.920 --> 0:19:15.439
<v Speaker 1>a lot of software engineers were obsessed with this stuff

0:19:15.480 --> 0:19:20.320
<v Speaker 1>who have now been irredeemably proven to be insane gullible marks.

0:19:20.840 --> 0:19:23.600
<v Speaker 1>And we do not talk enough about how insane this

0:19:23.760 --> 0:19:27.800
<v Speaker 1>all is. Eight hundred billion dollars more than that spent

0:19:27.840 --> 0:19:31.360
<v Speaker 1>by Microsoft, Google, Amazon and Meta on AI so far,

0:19:31.640 --> 0:19:34.680
<v Speaker 1>and for what a tech industry that has unilaterally increased

0:19:34.680 --> 0:19:37.240
<v Speaker 1>its expenses across the board to varying degrees for a

0:19:37.240 --> 0:19:40.879
<v Speaker 1>return on investment that's nearly impossible to actually explain, and

0:19:40.960 --> 0:19:43.480
<v Speaker 1>impossible to explain in clear terms like does it make

0:19:43.520 --> 0:19:46.520
<v Speaker 1>more money than ispent? It's not profitable. The state of

0:19:46.520 --> 0:19:49.280
<v Speaker 1>software is arguably worse. Most products try and make you

0:19:49.359 --> 0:19:52.399
<v Speaker 1>use an AI feature with questionable utility or efficacy, and

0:19:52.440 --> 0:19:55.960
<v Speaker 1>some organizations actively ostracize you if you fail to use

0:19:56.000 --> 0:19:59.280
<v Speaker 1>it because their CEOs have AI psychosis because their models

0:19:59.320 --> 0:20:03.600
<v Speaker 1>told them they were brilliant. Every time somebody explains AI's

0:20:03.640 --> 0:20:06.359
<v Speaker 1>economic value, they sound like they just got caught committing

0:20:06.400 --> 0:20:08.080
<v Speaker 1>a crime and they're trying to lie their way out

0:20:08.160 --> 0:20:10.480
<v Speaker 1>of it. Why does open a I need all this money.

0:20:11.119 --> 0:20:14.040
<v Speaker 1>Why does Anthropic need all this money? What justification is

0:20:14.040 --> 0:20:16.960
<v Speaker 1>there for any of this expenditure. I know some people

0:20:16.960 --> 0:20:19.520
<v Speaker 1>want to come up with a conspiratorial reason that all

0:20:19.520 --> 0:20:21.920
<v Speaker 1>of this is. Oh, it's a super secret government military

0:20:21.920 --> 0:20:23.399
<v Speaker 1>thing and Trump's going to bail it out. It's all

0:20:23.400 --> 0:20:25.840
<v Speaker 1>a secret government. It's all built for government, government, government, government,

0:20:25.880 --> 0:20:30.160
<v Speaker 1>It's all a secret Trump conspiracy. No, stow it stop.

0:20:30.560 --> 0:20:33.560
<v Speaker 1>That's not what this is. That is a comfortable way

0:20:33.600 --> 0:20:36.080
<v Speaker 1>to feel smart or in control of a situation you

0:20:36.160 --> 0:20:39.800
<v Speaker 1>have no control over. It is a doom saying philosophy

0:20:40.040 --> 0:20:42.480
<v Speaker 1>that allows you to avoid the hard intellectual work of

0:20:42.560 --> 0:20:45.840
<v Speaker 1>actually thinking of what happens when bad things happen. And

0:20:45.880 --> 0:20:50.200
<v Speaker 1>it also avoids the intellectual exercise of accepting that these

0:20:50.200 --> 0:20:52.119
<v Speaker 1>are a bunch of men who do not really know

0:20:52.160 --> 0:20:55.119
<v Speaker 1>how to do business and are self involved cowards that

0:20:55.320 --> 0:20:58.240
<v Speaker 1>only know how to follow each other. I realize it's

0:20:58.280 --> 0:21:01.920
<v Speaker 1>easier to look at the world as dark, scary and say, wow,

0:21:02.240 --> 0:21:04.600
<v Speaker 1>it's all a big secret plan and this is all

0:21:04.640 --> 0:21:08.119
<v Speaker 1>government spying. Already happening way before LMS. Oh, it's all

0:21:08.119 --> 0:21:10.800
<v Speaker 1>a big data gathering. It's all a big surveillance thing

0:21:10.880 --> 0:21:14.000
<v Speaker 1>already happening way before LMS. LMS aren't even particularly useful

0:21:14.000 --> 0:21:16.240
<v Speaker 1>for it. I'm sure there's some uses, but come on,

0:21:17.119 --> 0:21:19.640
<v Speaker 1>Doing that makes you feel like you're smart, It makes

0:21:19.680 --> 0:21:22.159
<v Speaker 1>you feel like you're ahead of the game, when in reality,

0:21:22.160 --> 0:21:25.040
<v Speaker 1>the world is dark. It is scary, but it's also

0:21:25.160 --> 0:21:28.240
<v Speaker 1>directionless and full of followers and cowards and people that

0:21:28.320 --> 0:21:30.880
<v Speaker 1>don't know what they're fucking doing that will spend over

0:21:30.920 --> 0:21:34.280
<v Speaker 1>a trillion dollars on data centers for an AI industry

0:21:34.280 --> 0:21:36.760
<v Speaker 1>that does not have a future. It's a dark and

0:21:36.800 --> 0:21:40.160
<v Speaker 1>scary world we live in when the mainstream media has

0:21:40.200 --> 0:21:43.320
<v Speaker 1>moved away from reality. But it's a reality I live in.

0:21:43.359 --> 0:21:45.359
<v Speaker 1>It's the reality you live in. But don't give these

0:21:45.400 --> 0:21:48.399
<v Speaker 1>people credit. Don't give these people credit or a strategy

0:21:48.400 --> 0:21:51.280
<v Speaker 1>that does not exist. In the end, you need to

0:21:51.359 --> 0:21:55.160
<v Speaker 1>just ask simple obvious questions. Open AI have to become

0:21:55.200 --> 0:21:57.920
<v Speaker 1>profitable at some point. How will they do so? When

0:21:57.960 --> 0:22:00.760
<v Speaker 1>will they do so? Nobody has an answer, which is

0:22:00.920 --> 0:22:04.960
<v Speaker 1>entirely inexcusable. For the most annoying, expensive, destructive, and wasteful

0:22:05.000 --> 0:22:07.240
<v Speaker 1>bubble in history. Zitron out