WEBVTT - Exclusive: Here's How Much Anthropic Spends on AWS

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<v Speaker 1>Alz Media. Hello and welcome to a special exclusive episode

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<v Speaker 1>of Better Offline. I'm Your host ed Zitron. As a

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<v Speaker 1>result of discussions with sources and documents viewed of the

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<v Speaker 1>amounts built on Amazon Web Services, I am for the

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<v Speaker 1>first time in history able to disclose how much AI

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<v Speaker 1>firms are spending on AWS, specifically Anthropic and a coding

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<v Speaker 1>company Cursor, its largest customer for API services. I can

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<v Speaker 1>exclusively reveal today how much Anthropics spent on AWS for

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<v Speaker 1>the years twenty twenty four and from the beginning of

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<v Speaker 1>twenty twenty five through the end of September twenty twenty five,

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<v Speaker 1>and from what I can see, their compute spend may

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<v Speaker 1>vastly exceed what has previously been reported. Furthermore, I can

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<v Speaker 1>confirm that through the end of September twenty twenty five,

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<v Speaker 1>Anthropic is spent around one hundred percent of their revenue

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<v Speaker 1>in twenty twenty five on Amazon Web Services, spending two

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<v Speaker 1>point sixty six billion dollars on compute on an estimated

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<v Speaker 1>two point five five billion dollars in revenue. Go to

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<v Speaker 1>the newsletter. I source the whole goddamn thing, and if

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<v Speaker 1>I'm honest, this piece is the culmination of several months

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<v Speaker 1>of articles about how Anthropics business tactics have made be

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<v Speaker 1>turned the screws on their biggest customer. I can exclusively

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<v Speaker 1>reveal today, as well as many other numbers in the newsletter,

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<v Speaker 1>the curs of Amazon Web services bills doubled from six

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<v Speaker 1>point two million dollars in May twenty twenty five to

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<v Speaker 1>twelve point six million dollars in June twenty twenty five,

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<v Speaker 1>and have stayed inflated since Anthropic increased the costs with

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<v Speaker 1>the launch of priority servers, tiers and aggressive rent seeking measure.

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<v Speaker 1>I need to be clear I cannot one hundred percent

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<v Speaker 1>guarantee that's what did it. I'm going to hedge my

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<v Speaker 1>bets very hard on that, but it certainly Bloody Wealth

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<v Speaker 1>seems that way. It's my guard instinct. I'm not going

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<v Speaker 1>to say it declaratively, but I'm going to show you

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<v Speaker 1>why I believe this, And I admit I struggled with

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<v Speaker 1>how to turn this into an episode because the newsletter,

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<v Speaker 1>which is on my free feed, is a series of

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<v Speaker 1>numbers and analyzes that if I just read them aloud,

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<v Speaker 1>would sound extremely dull and at times be quite hard

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<v Speaker 1>to follow. It's not something that naturally plays well for radio.

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<v Speaker 1>So instead of giving you the audible version, I'm going

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<v Speaker 1>to give you the cliff notes and speak to a

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<v Speaker 1>degree of vindication I feel on reading these costs. So

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<v Speaker 1>let's start with a number. One point two two five

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<v Speaker 1>billion dollars. That's how much Anthropic spent on Amazon Web

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<v Speaker 1>Services in the third quarter of twenty twenty five. They

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<v Speaker 1>spent eight hundred and twenty nine point seven million in

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<v Speaker 1>Q two twenty twenty five, and six hundred and ten

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<v Speaker 1>million dollars in Q one twenty twenty five. Oh and

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<v Speaker 1>one other number, they spent one point three five billion

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<v Speaker 1>dollars on AWS and twenty twenty four. So yeah, just

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<v Speaker 1>in another way, talking of their twenty twenty five numbers,

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<v Speaker 1>anthropics spend on AWS doubled over the course of three quarters.

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<v Speaker 1>Now a little backstory about Anthropic that's necessary to understand

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<v Speaker 1>this fully. Anthropic was originally invested in by both Google

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<v Speaker 1>and Amazon. According to The New York Times, Google owns

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<v Speaker 1>around fourteen percent of the company. An analyst, yes Tomate,

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<v Speaker 1>Amazon owned somewhere between fifteen and eighteen percent, and both have,

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<v Speaker 1>in not so many words, said that they're the main

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<v Speaker 1>or primary compute part for Aanthropic. It's unclear how much

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<v Speaker 1>Anthropic spends on Google Cloud, but semi analysis believes they're

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<v Speaker 1>a big client, and that's about as much detail as

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<v Speaker 1>I can get from anywhere I've really looked. In any case,

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<v Speaker 1>Anthropic is spending effectively every dollar they make on Amazon

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<v Speaker 1>Web Services, and Amazon has appears to be booking this

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<v Speaker 1>as revenue, though I can't directly confirm that, though I

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<v Speaker 1>do know these numbers are cash, they're after credits. Though

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<v Speaker 1>in the recent months, Anthropic has lowered the amount of

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<v Speaker 1>revenue they're spending on it to eighty six point two

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<v Speaker 1>percent in Q three twenty twenty five, which is an

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<v Speaker 1>improvement from Q two to twenty twenty five, where they

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<v Speaker 1>spent one hundred and six percent of their revenue and

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<v Speaker 1>Q one, where they spent one hundred and seventy five

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<v Speaker 1>percent of what they made on Amazon Web Services. It's

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<v Speaker 1>quite horrifying when you say it out loud. Now, if

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<v Speaker 1>you're thinking that, because these numbers are quite close, that

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<v Speaker 1>this might suggest that Anthropics costs are improving, think again. Anthropics.

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<v Speaker 1>Amazon Web services costs of a habit of massively spiking.

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<v Speaker 1>For example, their AWS bill led from three hundred and

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<v Speaker 1>eighty three point seven million dollars in August twenty twenty

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<v Speaker 1>five to five hundred and eighteen point nine million dollars

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<v Speaker 1>in September twenty twenty five. That's one hundred and thirty

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<v Speaker 1>five million goddamn dollars. And my hunch is it's because

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<v Speaker 1>they have a massive problem where clawed code users are

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<v Speaker 1>each costing them thousands of dollars despite only paying one

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<v Speaker 1>hundred or two hundred dollars a month. There's also the

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<v Speaker 1>nasty matter of Google Cloud. Anthropics Amazon Web Services bill

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<v Speaker 1>is two point sixty six billion dollars from January through

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<v Speaker 1>the end of September, as I said, and that is

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<v Speaker 1>pretty close to two point five to five billion dollars

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<v Speaker 1>in revenue. But if Anthropics spend on Google Cloud was

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<v Speaker 1>only twenty five percent of what they spent on AWS,

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<v Speaker 1>its compute cost would jumped to three point three three

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<v Speaker 1>billion dollars through the end of September, way more than

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<v Speaker 1>it brings in. If it's half of what they spent

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<v Speaker 1>on Amazon Web Services, this becomes a three point nine

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<v Speaker 1>to nine billion dollar compute bill, and if they spend

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<v Speaker 1>the same amount, the bill becomes five point three billion dollars,

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<v Speaker 1>and again that's just through the end of September. Another note,

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<v Speaker 1>cursors spend on Amazon Web services is comparatively small, but

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<v Speaker 1>includes some spend on Anthropics models because Amazon is allowed

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<v Speaker 1>to sell them. And I believe that the reason that

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<v Speaker 1>they do this, because they do directly pay Anthropic like

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<v Speaker 1>they actually send money directly to them, is because Amazon

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<v Speaker 1>offers significant discounts in some cases for running models through

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<v Speaker 1>their service. I think it's their bedrock service, and my

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<v Speaker 1>source confirmed that this was the case, though I could

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<v Speaker 1>not get granular data on what exactly CURSES spend was

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<v Speaker 1>on Amazon, like I can't say, oh, they use this

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<v Speaker 1>model or that model. Now, Cursor spends most of their

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<v Speaker 1>compute money directly with Anthropic, as well as every other

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<v Speaker 1>model developer whose models they use. AWS is a small

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<v Speaker 1>piece of the puzzle, and while small, it's spending data

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<v Speaker 1>provides evidence of how much this shit actually costs, though

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<v Speaker 1>I also concede that some of the money CURSES spends

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<v Speaker 1>with AWS likely goes to the non AI part of

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<v Speaker 1>the business, like file hosting and other tech infrastructure. Nevertheless,

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<v Speaker 1>the timing of the massive jumps in CURSES AWS bill

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<v Speaker 1>from six point two million dollars in May to twelve

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<v Speaker 1>point six million dollars in June directly correlate with the

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<v Speaker 1>massive changes made to their product, increasing the costs on

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<v Speaker 1>any users that wanted to use Cursor in the way

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<v Speaker 1>they had in the past by making them face the

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<v Speaker 1>actual costs of serving models on a per million token basis.

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<v Speaker 1>I've written about this a lot, By the way, it's

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<v Speaker 1>hard to describe it in detail because it's going to

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<v Speaker 1>take forever. But around mid June, Cursor had to change

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<v Speaker 1>everything because mysteriously they had to stop spending so much

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<v Speaker 1>money with their customers. Their customers would burning a hole

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<v Speaker 1>in their pocket, and I think we can kind of

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<v Speaker 1>see why. Curses costs have also never come down, spiking

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<v Speaker 1>to a higher fifteen point five million dollars in June,

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<v Speaker 1>dropping to a still high nine point six million dollars

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<v Speaker 1>in August. I need to spike again to twelve point

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<v Speaker 1>nine million dollars in September, though I cannot declaratively state

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<v Speaker 1>that this is exactly what happened. Curses costs doubled immediately

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<v Speaker 1>following the addition of anthropic service tiers in late May

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<v Speaker 1>twenty twenty five, which require an upfront commitment of token

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<v Speaker 1>spend and token throughput, and when Curser announced the launch

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<v Speaker 1>of their two hundred dollars a month ultraplan amidst massive

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<v Speaker 1>product changes, they cited how it was and I quote

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<v Speaker 1>made possible by multi year partnerships from open Ai, Anthropic,

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<v Speaker 1>Google and Xai, and that their support was instrumental in

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<v Speaker 1>offering this volume of computer the predictable price. Now, really,

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<v Speaker 1>I'm being as fair as I can. Another factor might

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<v Speaker 1>be that the new Claude four models was significantly more expensive.

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<v Speaker 1>It's entirely possible that all of these things are true.

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<v Speaker 1>I just want to make sure I cover my basis

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<v Speaker 1>because I do not know for sure. But the timing,

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<v Speaker 1>the timing man and another thing, you know what. Anthropic

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<v Speaker 1>also launched a week before service Tears a competing product,

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<v Speaker 1>a Cursor called claud Code one that they could run

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<v Speaker 1>with as little restraint as they'd like to drain as

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<v Speaker 1>many monthly customers away from Cursor, who is also their

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<v Speaker 1>largest customer, buying Anthropic models through their API. Real fucking mystery, right,

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<v Speaker 1>If it quacks like a dark where's a T shirt

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<v Speaker 1>that says dark? And Claude tells you you're absolutely right,

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<v Speaker 1>that's a duck. When you upload a picture of it,

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<v Speaker 1>it's probably a fucking duck. But I obviously can't say

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<v Speaker 1>for sure. I need to be explicit here with what happened, though.

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<v Speaker 1>Anthropics supplied access to their models to a company Cursor,

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<v Speaker 1>and then released a product claud Code that did exactly

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<v Speaker 1>the same thing as that company Cursor, turning it both

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<v Speaker 1>into a customer and a competitor in the process, creating

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<v Speaker 1>a massive conflict of interest, as not only did Anthropic

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<v Speaker 1>have an incentive for that customer or competitor to fail,

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<v Speaker 1>though they also needed their compute revenue, which is kind

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<v Speaker 1>of a bugger. Anthropic also had the means to make

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<v Speaker 1>this failure happen in the most painful and expensive way

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<v Speaker 1>possible by worsening the terms in which that competitor required

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<v Speaker 1>the compute it needed to function. Could be a coincidence,

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<v Speaker 1>I guess. And when I say compute, I mean tokens.

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<v Speaker 1>Just I'm reading a script. Okay, where us going to

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<v Speaker 1>eam Anyway, I'm not going to turn this into a massive,

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<v Speaker 1>sprawling episode about this company. I wanted to give you

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<v Speaker 1>the raw information so you can go and read the

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<v Speaker 1>detailed analysis. I did. It's free, by the way, don't worry.

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<v Speaker 1>But now I want to talk about how all this

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<v Speaker 1>made me feel, because that's what makes this show unique.

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<v Speaker 1>I think is the appropriate way of coming out this.

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<v Speaker 1>I'm going to be honest, I find what it looks like,

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<v Speaker 1>and I'm hedging my beds again. Anthropic did to Cursor

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<v Speaker 1>truly disgusting. Cursor hit five hundred million dollars in annualized

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<v Speaker 1>revenue in the same month that they then saw their

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<v Speaker 1>cost double, dramatically reducing the value of their subscription product

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<v Speaker 1>at the apex of their success. Yes, Cursor is an

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<v Speaker 1>unsustainable AI company I know, and like all of these companies,

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<v Speaker 1>has no part of the profitability. Anthropic should have always

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<v Speaker 1>charged sustainable rates, even if it meant that it wasn't

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<v Speaker 1>possible to build a big company based on their models. Sadly,

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<v Speaker 1>we don't live in that universe. And while you could

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<v Speaker 1>make the case that startups like Uber didn't at first

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<v Speaker 1>charge sustainable rates, I'd argue that the reason why its

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<v Speaker 1>initial rates weren't successful was because of the steep upfront

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<v Speaker 1>cost of customer acquisition, which is the problem that could

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<v Speaker 1>be solved through the lifetime of the customer and Uber

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<v Speaker 1>had the means to gradually ratchet up the costs of

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<v Speaker 1>rides or mores. Italy reduced the cut that they pay

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<v Speaker 1>to drivers in a way that wouldn't be immediately paying for. Furthermore,

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<v Speaker 1>Uber never had a fuel problem. What Anthropic has as

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<v Speaker 1>a fuel problem, they have a compute problem for the

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<v Speaker 1>amount that they're paying to run their goddamn services. Cursor

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<v Speaker 1>is also Anthropic's largest customer, and the timing of priority

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<v Speaker 1>tiers to coincide at the moment when they were growing

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<v Speaker 1>fastest is a suspicious and potentially disgraceful move. While you

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<v Speaker 1>could describe it as a necessary step in the direction

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<v Speaker 1>of sustainability, that plausible excuse is undercut by the overall

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<v Speaker 1>timing of the move. One cannot ignore how close the

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<v Speaker 1>launch of these tiers were to the launch of anthropics

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<v Speaker 1>clawed Code, a product that lacks curses, flashy front end,

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<v Speaker 1>but performs similar functions, all subsidized by anthropics massive hordes

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<v Speaker 1>of venture capital, and its chummy relationships with hyperscalers like

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<v Speaker 1>Amazon and Google. The thing is, even with these moves,

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<v Speaker 1>Anthropics still spent a dollar and four cents on Amazon

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<v Speaker 1>Web services for every dollar they made through the end

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<v Speaker 1>of September twenty twenty five, and that's for just twenty

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<v Speaker 1>twenty five. By the way, their costs increase nearly with

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<v Speaker 1>their revenue. And while they've improved, when they spent a

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<v Speaker 1>remarkable two hundred and twenty seven percent of their revenue

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<v Speaker 1>on AWS in January, they still spent eighty eight point

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<v Speaker 1>nine percent of it on a western September. Now, if

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<v Speaker 1>you're worried hearing how close these numbers before, like I said,

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<v Speaker 1>means there's somehow approaching profitability. Good lord, No, I'm repeating myself.

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<v Speaker 1>I realized, But I really need you to come away

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<v Speaker 1>with this with reality in your brain. These digital mister

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<v Speaker 1>beans very likely spend comparable sums on Google Cloud unlikely

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<v Speaker 1>another billion or two one salaries data And I don't

0:11:20.800 --> 0:11:23.080
<v Speaker 1>know that one point five billion dollar settlement with all

0:11:23.080 --> 0:11:26.000
<v Speaker 1>the authors that they just agreed to. This company absolutely

0:11:26.040 --> 0:11:28.680
<v Speaker 1>fucking sucks. I don't care if you like Claude Sonnet

0:11:28.760 --> 0:11:30.880
<v Speaker 1>or claud Opus. I don't give a fuck. Claude Opus

0:11:30.920 --> 0:11:33.280
<v Speaker 1>and Claudes on It are not worth burning billions of

0:11:33.360 --> 0:11:36.640
<v Speaker 1>dollars a year in cloud costs, fueling an environmentally destructive

0:11:36.720 --> 0:11:39.719
<v Speaker 1>plagiarism charge pseudo company that would roll over and die

0:11:39.800 --> 0:11:42.319
<v Speaker 1>within months if it didn't constantly get fed billions of

0:11:42.360 --> 0:11:44.800
<v Speaker 1>dollars a year. What are you gonna tell me they're

0:11:44.800 --> 0:11:47.000
<v Speaker 1>gonna turn this ship around. They're gonna make some sort

0:11:47.040 --> 0:11:50.680
<v Speaker 1>of autonomous AI coder. You know that's bullshit. Every goddamn

0:11:50.760 --> 0:11:53.600
<v Speaker 1>one of you boosters knows that total bullshit. I'm sure

0:11:53.720 --> 0:11:56.360
<v Speaker 1>son at four point five is somewhat better than Sonnet four,

0:11:56.559 --> 0:12:00.400
<v Speaker 1>but what does that actually mean? Anthropic raised twenty billion

0:12:00.400 --> 0:12:03.000
<v Speaker 1>dollars this year? Do we give them more next year?

0:12:03.840 --> 0:12:06.680
<v Speaker 1>I've heard reports that they're actually targeting twenty billion dollars

0:12:06.720 --> 0:12:09.280
<v Speaker 1>in anialized revenue, so one point six to seven billion

0:12:09.320 --> 0:12:12.679
<v Speaker 1>dollars a month in revenue by the end of next year.

0:12:12.679 --> 0:12:16.040
<v Speaker 1>It's an absolute fucking joke. But the only thing funnier

0:12:16.120 --> 0:12:18.160
<v Speaker 1>than that joke is that it will likely cost them

0:12:18.160 --> 0:12:20.880
<v Speaker 1>twenty five billion dollars to make that fictional money. And

0:12:20.960 --> 0:12:25.040
<v Speaker 1>where preytell is that coming from? And why? Why? What

0:12:25.240 --> 0:12:27.360
<v Speaker 1>is so remarkable about this company that gives them a

0:12:27.400 --> 0:12:29.760
<v Speaker 1>free paster burn two point sixty six billion dollars in

0:12:29.800 --> 0:12:33.600
<v Speaker 1>AWS in fucking nine months. I'm not talking about your

0:12:33.640 --> 0:12:36.640
<v Speaker 1>cynical oh, Amazon is booking at is revenue crony capitalisms?

0:12:36.679 --> 0:12:39.080
<v Speaker 1>Here an'tswer it. I'm not, I'm not. I'm talking about

0:12:39.120 --> 0:12:42.920
<v Speaker 1>the scientific or technological reasoning for keeping Anthropic alive. And yes,

0:12:43.040 --> 0:12:46.280
<v Speaker 1>I feel exactly the same way about Open AI. What

0:12:46.520 --> 0:12:50.080
<v Speaker 1>possible achievement does Anthropic have that warrants this needless, endless,

0:12:50.200 --> 0:12:54.120
<v Speaker 1>sprawling financial destruction. Why are we rewarding a company with

0:12:54.240 --> 0:12:57.079
<v Speaker 1>bad business practices for making a product that loses more

0:12:57.120 --> 0:13:00.240
<v Speaker 1>money the more money it makes. I'll even try and

0:13:00.360 --> 0:13:03.160
<v Speaker 1>see this through the eyes of an AI booster. Damn,

0:13:03.200 --> 0:13:05.520
<v Speaker 1>all I'm seeing is blue and yellow anyway, And even

0:13:05.640 --> 0:13:08.439
<v Speaker 1>from here, the only reason to keep Anthropic alive is

0:13:08.480 --> 0:13:11.560
<v Speaker 1>because you see these companies as sports teams. You see

0:13:11.640 --> 0:13:15.760
<v Speaker 1>Dario Amiday as the equivalent of Dan Campbell or Greg Popovich.

0:13:15.800 --> 0:13:17.800
<v Speaker 1>You root for them and their causes because you think

0:13:17.880 --> 0:13:20.760
<v Speaker 1>that if they win, you as a fan will be rewarded.

0:13:21.120 --> 0:13:22.839
<v Speaker 1>You don't think too hard about what it is that

0:13:22.920 --> 0:13:25.959
<v Speaker 1>Claude Sonnet or Claude Opus do, and you find enough

0:13:26.000 --> 0:13:28.640
<v Speaker 1>ways that this is somewhat kind of useful to you,

0:13:28.880 --> 0:13:31.400
<v Speaker 1>and you use those reasons to justify the proliferation of

0:13:31.440 --> 0:13:36.840
<v Speaker 1>a wasteful and destructive technology. What exactly happens here? Anthropics

0:13:36.880 --> 0:13:40.240
<v Speaker 1>AWS bills are not really going down. They've normalized in

0:13:40.280 --> 0:13:42.439
<v Speaker 1>an eighty eight to ninety five percent range and they're

0:13:42.480 --> 0:13:44.679
<v Speaker 1>clearly going to stay there. And if your argument is

0:13:45.000 --> 0:13:47.760
<v Speaker 1>they'll go down, your argument is quite literally no, eh.

0:13:48.480 --> 0:13:51.000
<v Speaker 1>Go read semi analysis for seventeen hours and come up

0:13:51.040 --> 0:13:55.160
<v Speaker 1>with some demented GPU based argument about inference smax scores,

0:13:55.360 --> 0:13:57.400
<v Speaker 1>pretend like you give a shit, come up with a

0:13:57.480 --> 0:14:00.200
<v Speaker 1>real argument against mine, because I am working hard, are

0:14:00.240 --> 0:14:02.240
<v Speaker 1>at this than you are, And if you believe otherwise,

0:14:02.360 --> 0:14:04.320
<v Speaker 1>you should ask yourself why the guy who said Sam

0:14:04.400 --> 0:14:07.439
<v Speaker 1>Altman's no it loads refused cash dump in a premium

0:14:07.480 --> 0:14:11.079
<v Speaker 1>newsletter got this scoop and you did not. But that

0:14:11.160 --> 0:14:14.120
<v Speaker 1>actually leads me to a key question. How long do

0:14:14.280 --> 0:14:17.760
<v Speaker 1>we hand Anthropic and by extension, open AI billions of dollars?

0:14:18.400 --> 0:14:21.080
<v Speaker 1>And for the first time in your goddamn life, it's

0:14:21.160 --> 0:14:24.400
<v Speaker 1>time to ask, what if I'm right? What if these

0:14:24.480 --> 0:14:28.160
<v Speaker 1>companies are incapable of becoming profitable? What if there really

0:14:28.280 --> 0:14:31.960
<v Speaker 1>is no massive demand for generative AI? Do you really

0:14:32.000 --> 0:14:34.720
<v Speaker 1>think Anthropic will make one point six billion dollars a month?

0:14:34.800 --> 0:14:37.840
<v Speaker 1>Sometime in twenty twenty six, do you really think that?

0:14:38.520 --> 0:14:42.120
<v Speaker 1>And even for Amazon, it's kind of shit wow to

0:14:42.840 --> 0:14:45.880
<v Speaker 1>do a couple billion on one hundred and five billion

0:14:45.920 --> 0:14:47.760
<v Speaker 1>dollars of capex. I might have even said this later

0:14:47.800 --> 0:14:50.760
<v Speaker 1>in the script, but just thinking about it makes me

0:14:50.840 --> 0:14:54.240
<v Speaker 1>feel a little crazy. And look, I get there's a

0:14:54.320 --> 0:14:56.840
<v Speaker 1>middle ground here where people say that there's some sort

0:14:56.920 --> 0:14:59.320
<v Speaker 1>of use case that sort of works for AI, where

0:14:59.360 --> 0:15:01.440
<v Speaker 1>you hit it hard enough to write good enough prompts

0:15:01.480 --> 0:15:03.320
<v Speaker 1>or whatever that you like it for search, that your

0:15:03.360 --> 0:15:05.680
<v Speaker 1>brainstorm with it, they helped you pick out a hat

0:15:05.760 --> 0:15:07.840
<v Speaker 1>that you used it to solve some sort of problem. Once,

0:15:08.200 --> 0:15:10.680
<v Speaker 1>I just want to ask you how much of those

0:15:10.720 --> 0:15:14.240
<v Speaker 1>anecdotes really worth to you? How impressed with these things

0:15:14.360 --> 0:15:18.360
<v Speaker 1>are you? Would you pay double, triple, quadruple? Would you

0:15:18.440 --> 0:15:20.600
<v Speaker 1>pay on a meted basis where those little flights of

0:15:20.680 --> 0:15:23.000
<v Speaker 1>fancy cost you a few cents, then ten cents, then

0:15:23.040 --> 0:15:25.600
<v Speaker 1>a dollar, because that's how much it costs to provide

0:15:25.640 --> 0:15:27.320
<v Speaker 1>these services, and at some point you're going to be

0:15:27.360 --> 0:15:43.280
<v Speaker 1>made to pay for it one way or another. Advertising

0:15:43.320 --> 0:15:45.840
<v Speaker 1>won't be the answer. By the way, the literal only

0:15:45.920 --> 0:15:49.080
<v Speaker 1>company to try advertising in large language models is an

0:15:49.120 --> 0:15:52.840
<v Speaker 1>AI search engine company called Perplexity, and they just paused

0:15:52.880 --> 0:15:56.280
<v Speaker 1>accepting new advertisers too, and I quote ad week rethink

0:15:56.320 --> 0:16:00.520
<v Speaker 1>how ads fit into its AI search experience. They made

0:16:00.600 --> 0:16:04.160
<v Speaker 1>twenty thousand dollars in twenty twenty four in advertising revenue.

0:16:04.560 --> 0:16:07.520
<v Speaker 1>Are we supposed to be impressed that Perplexity made enough

0:16:07.600 --> 0:16:11.080
<v Speaker 1>revenue to buy a second hand Toyota Corolla. There are

0:16:11.120 --> 0:16:15.000
<v Speaker 1>people making more money than that's slinging fucking Herbalife. And

0:16:15.120 --> 0:16:18.680
<v Speaker 1>this is literally the exact company that should have succeeded

0:16:19.000 --> 0:16:22.080
<v Speaker 1>based on any kind of ads will fix everything argument.

0:16:22.480 --> 0:16:25.440
<v Speaker 1>And they couldn't even buy courtside tickets at the NBA playoffs.

0:16:26.480 --> 0:16:29.720
<v Speaker 1>The costs are increasing linearly with revenue, and I've fucking

0:16:29.880 --> 0:16:32.640
<v Speaker 1>proved it. I am open to any compelling arguments that

0:16:32.720 --> 0:16:35.640
<v Speaker 1>can explain how this ever changes. And my god, if

0:16:35.720 --> 0:16:38.920
<v Speaker 1>you say trainium, I will absolutely lose my shit. Chips

0:16:38.920 --> 0:16:43.400
<v Speaker 1>aren't fixing this. By the way, if your answer is

0:16:43.440 --> 0:16:46.400
<v Speaker 1>the anthropic will make some sort of theoretical ultrapowerful large

0:16:46.440 --> 0:16:49.080
<v Speaker 1>language model or invent agi, you are a goddamn mark.

0:16:49.160 --> 0:16:55.480
<v Speaker 1>You are being conned. Look join me. I'm serious. There's

0:16:55.560 --> 0:16:58.320
<v Speaker 1>no harm in being wrong I've been wrong tons of

0:16:58.360 --> 0:17:01.400
<v Speaker 1>times in my life. Being wrong and admitting you're wrong

0:17:01.520 --> 0:17:04.000
<v Speaker 1>is an act of bravery. Shit, actually kind of get it.

0:17:04.480 --> 0:17:06.640
<v Speaker 1>This stuff feels if you let it, like it's doing

0:17:06.760 --> 0:17:09.119
<v Speaker 1>something for you, even though interacting with it is actually

0:17:09.200 --> 0:17:11.560
<v Speaker 1>draining you because you're constantly having to find ways to

0:17:11.640 --> 0:17:13.240
<v Speaker 1>make it do what you want it to do, to

0:17:13.359 --> 0:17:15.159
<v Speaker 1>the point that when it actually does something for the

0:17:15.240 --> 0:17:19.120
<v Speaker 1>first time, it almost feels magical. You feel very powerful,

0:17:19.560 --> 0:17:21.800
<v Speaker 1>despite the fact that you have been put to work

0:17:22.119 --> 0:17:25.320
<v Speaker 1>to make automation work. That's not how automation is meant

0:17:25.400 --> 0:17:29.119
<v Speaker 1>to work. And sure, there are software engineers out there

0:17:29.119 --> 0:17:31.600
<v Speaker 1>who have, like any good software engineer, found a way

0:17:31.600 --> 0:17:33.800
<v Speaker 1>to take the useful parts of llms and use them to,

0:17:34.000 --> 0:17:36.239
<v Speaker 1>to quote Carl Brown of the Internet at bugs, make

0:17:36.320 --> 0:17:39.000
<v Speaker 1>the easy things easier. Then there are the ones that

0:17:39.040 --> 0:17:41.679
<v Speaker 1>are spending more time than they were building software, prompting

0:17:41.760 --> 0:17:44.800
<v Speaker 1>l elms and rewriting claude dot md files and thinking

0:17:44.840 --> 0:17:47.320
<v Speaker 1>that because things sort of worked off they hit enter

0:17:47.359 --> 0:17:50.639
<v Speaker 1>that they're privy to a great becoming. And there are

0:17:50.680 --> 0:17:54.119
<v Speaker 1>the victims, of course, of vibe coding startups companies that

0:17:54.240 --> 0:17:56.840
<v Speaker 1>sell the outright lie that somebody who cannot read or

0:17:56.840 --> 0:18:01.760
<v Speaker 1>write software can write secure, effective and functional software. Look,

0:18:02.320 --> 0:18:04.960
<v Speaker 1>I'm serious, join me. If you're an AI booster, I

0:18:05.080 --> 0:18:09.280
<v Speaker 1>don't care. Everybody is welcome. In reality, I don't care

0:18:09.320 --> 0:18:10.879
<v Speaker 1>who you are. I don't care if I've called you

0:18:10.960 --> 0:18:13.639
<v Speaker 1>a booster and given you a verbal swirly one hundred times.

0:18:14.119 --> 0:18:16.200
<v Speaker 1>Now is the time to accept that this software is

0:18:16.240 --> 0:18:19.960
<v Speaker 1>too expensive, too destructive, and too wasteful to continue backing it.

0:18:20.359 --> 0:18:22.240
<v Speaker 1>I'm not even saying you have to say fuck AI

0:18:22.440 --> 0:18:25.119
<v Speaker 1>or shun chat GPT like you're an armish teenager that

0:18:25.200 --> 0:18:28.000
<v Speaker 1>looked at porno. But it's time to be loud and

0:18:28.119 --> 0:18:30.440
<v Speaker 1>direct that these products are not worth the egregious and

0:18:30.440 --> 0:18:34.879
<v Speaker 1>perpetual annihilation of billions of dollars every fucking year. I

0:18:34.960 --> 0:18:36.560
<v Speaker 1>don't even know if this means you have to stop

0:18:36.680 --> 0:18:39.440
<v Speaker 1>using them. I don't want you to, but I don't like.

0:18:39.840 --> 0:18:42.520
<v Speaker 1>What are we gonna do. These things are not gonna

0:18:42.560 --> 0:18:45.119
<v Speaker 1>go away because you stopped using Claude. They're gonna go

0:18:45.200 --> 0:18:48.359
<v Speaker 1>away because you stop talking about them. They're gonna go

0:18:48.440 --> 0:18:51.760
<v Speaker 1>away because they cost too much in their pay pigs

0:18:51.800 --> 0:18:55.840
<v Speaker 1>stop paying them. What I am advocating for is for

0:18:56.000 --> 0:18:58.639
<v Speaker 1>everybody to openly discuss that the amount of money it

0:18:58.720 --> 0:19:01.040
<v Speaker 1>costs to run these companies is that odds with what

0:19:01.160 --> 0:19:03.600
<v Speaker 1>they have built, are building and will build in the future.

0:19:04.280 --> 0:19:07.439
<v Speaker 1>Nothing they are building is moving towards superintelligence or AGI.

0:19:07.920 --> 0:19:11.199
<v Speaker 1>No combination of Amazon Tranium or Google TPUs is going

0:19:11.280 --> 0:19:14.159
<v Speaker 1>to usher in the birth of the machine guard. The

0:19:14.280 --> 0:19:17.640
<v Speaker 1>products they make are, at best, and in inconsistent moments,

0:19:17.880 --> 0:19:21.600
<v Speaker 1>kind of cool, but one hundred times more often mediocre, unreliable,

0:19:21.640 --> 0:19:26.600
<v Speaker 1>and outright ridiculous, even if you really get a lot

0:19:26.800 --> 0:19:29.560
<v Speaker 1>out of these models. Do you think that these companies

0:19:29.600 --> 0:19:31.920
<v Speaker 1>should be allowed to burn billions of dollars every year?

0:19:32.760 --> 0:19:34.560
<v Speaker 1>How much do you think they should be allowed to burn?

0:19:35.240 --> 0:19:38.520
<v Speaker 1>And how much is too much for you? It's time

0:19:38.600 --> 0:19:42.280
<v Speaker 1>to start having this conversation and having it publicly, especially

0:19:42.320 --> 0:19:45.200
<v Speaker 1>as Clammy Sam Mortman Bloviate's about building two hundred and

0:19:45.240 --> 0:19:48.879
<v Speaker 1>fifty gigawatts of data centers in seven goddamn years at

0:19:48.880 --> 0:19:51.680
<v Speaker 1>the cost of one third of America's entire fucking economic

0:19:51.760 --> 0:19:54.680
<v Speaker 1>output in twenty twenty four. Anyway, this has been a

0:19:54.720 --> 0:19:56.280
<v Speaker 1>big day for me, so I'm going to leave it there.

0:19:56.480 --> 0:19:59.280
<v Speaker 1>It's a huge scoop. I'm grateful that I get to

0:19:59.320 --> 0:20:01.879
<v Speaker 1>do this every day, grateful for you listening, and grateful

0:20:02.000 --> 0:20:05.159
<v Speaker 1>for your reading. I hope you've enjoyed this episode and

0:20:05.440 --> 0:20:15.680
<v Speaker 1>thank you as eva for supporting my work. Thank you

0:20:15.720 --> 0:20:18.440
<v Speaker 1>for listening to Better Offline. The editor and composer of

0:20:18.480 --> 0:20:21.440
<v Speaker 1>the Better Offline theme song is Matasowski. You can check

0:20:21.480 --> 0:20:24.400
<v Speaker 1>out more of his music and audio projects at Matasowski

0:20:24.440 --> 0:20:27.879
<v Speaker 1>dot com, M A T T O. S O w

0:20:28.280 --> 0:20:31.800
<v Speaker 1>Ski dot com. You can email me at easy at

0:20:31.840 --> 0:20:34.439
<v Speaker 1>Better Offline dot com or visit Better Offline dot com

0:20:34.520 --> 0:20:36.920
<v Speaker 1>to find more podcast links and of course, my newsletter.

0:20:37.359 --> 0:20:39.840
<v Speaker 1>I also really recommend you go to chat dot Where's

0:20:39.880 --> 0:20:42.320
<v Speaker 1>Youreed dot at to visit the discord, and go to

0:20:42.400 --> 0:20:45.760
<v Speaker 1>our slash Better Offline to check out our reddit. Thank

0:20:45.800 --> 0:20:49.200
<v Speaker 1>you so much for listening. Better Offline is a production

0:20:49.320 --> 0:20:51.720
<v Speaker 1>of cool Zone Media. For more from cool Zone Media,

0:20:52.080 --> 0:20:55.199
<v Speaker 1>visit our website cool Zonemedia dot com, or check us

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