WEBVTT - Managing The Situation

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<v Speaker 1>Hello and welcome to Better Offline, I'm your host Ed Zitron.

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<v Speaker 1>This week is monologue week, by which I mean I

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<v Speaker 1>had a guest pull out last minute and so you

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<v Speaker 1>have to hear me talk about stuff. As ever, subscribe

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<v Speaker 1>to the Premium Newsletter. There's a discount link in the notes.

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<v Speaker 1>It means a lot to me. It's my main source

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<v Speaker 1>of income, along with the podcast. And like and subscribe

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<v Speaker 1>if you're on YouTube. Or toss me a glert on

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<v Speaker 1>Sloob if you're on Sloob. I'm also on Ploik and Dwork. Anyway,

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<v Speaker 1>today I'm going to talk about a problem in basically

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<v Speaker 1>every part of the world. Managing situations versus actually dealing

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<v Speaker 1>with the complexities of the world itself. A couple weeks ago,

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<v Speaker 1>I wrote a piece called Hyperscale Normalization, inspired, as you

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<v Speaker 1>may have guessed, by the Adam Curtis documentary Hypernormalization, where

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<v Speaker 1>he describes, and I quote, a world where, over the

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<v Speaker 1>past 40 years, politicians, financiers, and technological utopians, rather than

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<v Speaker 1>face up to the real complexities of the world, retreated,

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<v Speaker 1>constructing what he calls a simpler version of the world

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<v Speaker 1>in order to hang on to power, with the world

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<v Speaker 1>going along with it because the simplicity was reassuring. It's

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<v Speaker 1>a two and a half hour long documentary, but it

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<v Speaker 1>comes down to a simple point. That we as a

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<v Speaker 1>society manage problems rather than dealing with the messy and

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<v Speaker 1>complex elements of the world around us. Putting off problems

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<v Speaker 1>again and again and under the assumption that they'll disappear

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<v Speaker 1>if we do so enough times. We use the system

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<v Speaker 1>to manage these problems rather than actually eradicating them or

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<v Speaker 1>dealing with the conditions. And of course, they never actually disappear.

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<v Speaker 1>The problems actually compound. Let's take the subprime mortgage crisis

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<v Speaker 1>for example. While post-2008 financial regulations, Dodd-Frank and the now-weakened

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<v Speaker 1>Volcker Rule theoretically helped curb some of the excesses that

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<v Speaker 1>led to the Great Financial Crisis, most of the people

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<v Speaker 1>involved remained both wealthy and employed, blissfully unblackballed from the

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<v Speaker 1>world of finance or indeed by the media. In fact,

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<v Speaker 1>I can find nobody of that time in the media

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<v Speaker 1>who was ousted or even really critiqued for how badly

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<v Speaker 1>they fucked up. While financial institutions and companies saw over

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<v Speaker 1>$ 14 trillion in bailouts, only $ 46 billion, about 10% of

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<v Speaker 1>the TARP plan, focused on trying to save homeowners from foreclosure.

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<v Speaker 1>And in the end, to quote a congressional panel from 2009,

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<v Speaker 1>there was no evidence that the Treasury has used TARP

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<v Speaker 1>funds to support the housing market by avoiding preventable foreclosures.

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<v Speaker 1>Government funds were used to manage a systemic crisis by

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<v Speaker 1>making sure the system survived, rather than building a better

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<v Speaker 1>society or fixing the system or really doing anything more

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<v Speaker 1>than the Dodd-Frank and Volcker-style stuff that really only slightly

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<v Speaker 1>gnawed on the problems rather than chewing them up and

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<v Speaker 1>eating them. Because doing so, feeding the system money, cleaning

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<v Speaker 1>up its messes, explaining away its successes, is easier than

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<v Speaker 1>having any kind of vision or ideal to aspire to.

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<v Speaker 1>Doing so strips out, to quote Curtis, the intractable complexities

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<v Speaker 1>of the real world by creating a simpler one. One

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<v Speaker 1>where the system works, that progress always flows through following

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<v Speaker 1>the course of, often poorly remembered, history and backing whatever

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<v Speaker 1>the system trumpets that moment. Everything ultimately returns to a

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<v Speaker 1>point where someone will say the system has worked this

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<v Speaker 1>long and things always work out in the end, even

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<v Speaker 1>if they really haven't done so, because thinking of an alternative,

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<v Speaker 1>even as you see proof point after proof point that

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<v Speaker 1>the system is not functioning right and keeps having crises created,

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<v Speaker 1>is near impossible due to the prominence of the dogma

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<v Speaker 1>and confidence from those in power. The great financial crisis

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<v Speaker 1>was managed by dropping interest rates to zero and bailing

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<v Speaker 1>out banks and automakers and basically any systemic companies that

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<v Speaker 1>would pose a risk to America or various societies, rather

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<v Speaker 1>than the people in the societies. COVID was managed by

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<v Speaker 1>the loosest lockdown protocols possible, giving businesses hundreds of billions

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<v Speaker 1>of dollars via the Paycheck Protection Program. And just to

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<v Speaker 1>be clear, only for salaried employees rather than contractors. giving

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<v Speaker 1>banks and financial institutions trillions of dollars via the very

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<v Speaker 1>same systems that were used in the great financial crisis,

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<v Speaker 1>and basically doing absolutely nothing to fix the actual problems

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<v Speaker 1>that COVID kind of exposed. The wealth inequality, racial injustice, discrimination,

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<v Speaker 1>these things mostly were just kind of pushed off to

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<v Speaker 1>the side. Companies picked up DEI as long as necessary

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<v Speaker 1>to appease markets that believed there was actual social change

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<v Speaker 1>without actually ingesting it. At no point was the system

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<v Speaker 1>itself significantly altered, such as creating Medicare for All or

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<v Speaker 1>a social safety net or making price gouging illegal, which

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<v Speaker 1>meant that the problems didn't really go away so much

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<v Speaker 1>as they were managed. The net result was that in 2021,

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<v Speaker 1>the financial system got saturated with easy money, trillions of

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<v Speaker 1>dollars of capital that made the rich richer and the

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<v Speaker 1>poor poorer. Meanwhile, corporations have been using supply chain crises

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<v Speaker 1>and the specter of inflation to raise prices across the board,

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<v Speaker 1>though it became obvious that the real reason was sheer,

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<v Speaker 1>unabated greed, with companies posting record profits to soak up

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<v Speaker 1>the cash from a frothy society excited to be back

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<v Speaker 1>in the real world. A real world that had materially

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<v Speaker 1>changed since the beginning of COVID, but no one really

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<v Speaker 1>wanted to acknowledge that. By the end of 2022, the

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<v Speaker 1>Federal Reserve would raise interest rates by a dramatic 4.25%,

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<v Speaker 1>leading to tens of thousands of people losing their jobs

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<v Speaker 1>in the tech sector alone. And things have never really recovered.

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<v Speaker 1>Regular people have spent years watching the price of goods

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<v Speaker 1>increase due to inflation, even after those interest rate bumps,

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<v Speaker 1>despite the fact that the increase in pricing was mostly

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<v Speaker 1>driven by, get this, corporations raising prices. Yet some parts

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<v Speaker 1>of the legacy media spent an alarming amount of time

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<v Speaker 1>chiding their readers for thinking otherwise, even going against their

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<v Speaker 1>own reporting as a means of providing balanced coverage. insisting

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<v Speaker 1>again and again that the economy is good, contorting to

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<v Speaker 1>prove that prices aren't actually higher, even as the companies

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<v Speaker 1>like Pepsi boasted about literally raising their prices. In fact,

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<v Speaker 1>the media spent years debating it with itself, whether price

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<v Speaker 1>gouging was happening, despite years of proof that it was

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<v Speaker 1>and actually continues to this day. The system, by which

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<v Speaker 1>I mean the conjoined forces of the media, the markets,

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<v Speaker 1>and the American government, focused on aggressively forcing everything back

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<v Speaker 1>to where it used to be, or at least making

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<v Speaker 1>it look that way. When things were rough, it pumped

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<v Speaker 1>money into the system. When things seemed too frothy, it

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<v Speaker 1>made that money harder to come by, which ended up

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<v Speaker 1>punishing regular people for the largest part. For the most part,

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<v Speaker 1>regular people in general were punished for the excesses of

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<v Speaker 1>the system itself. When they took advantage of remote work,

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<v Speaker 1>job flexibility, and purchasing power, they were told they were lazy,

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<v Speaker 1>that they were wrong, that this was temporary, and that

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<v Speaker 1>in fact they were too greedy with what they were

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<v Speaker 1>generously given, and indeed expected too much from society. The

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<v Speaker 1>continued perpetuation of the system is always right ultimately led

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<v Speaker 1>to the media near completely detaching from reality. A regular

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<v Speaker 1>person experiencing aggressively worsening standards in their own lives would

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<v Speaker 1>open the news only to be sneered at for feeling bad,

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<v Speaker 1>mocked for questioning the numbers, told to sit down and

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<v Speaker 1>shut up because the media and those that informed them

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<v Speaker 1>knew better. After two years of hope and abundance, the

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<v Speaker 1>world and the system itself attempted to revert everyone back

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<v Speaker 1>to the before times, all without the veneer of prosperity

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<v Speaker 1>or progress or, indeed, never going back. In other words,

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<v Speaker 1>a regular person's form of reality was a confusing mess

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<v Speaker 1>of social media, alternative media, mainstream media, and governments that

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<v Speaker 1>seemed intent on saying that either everything was fine or

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<v Speaker 1>that there was a specific thing to blame, usually a

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<v Speaker 1>foreigner or some sort of listener or reader themselves, or

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<v Speaker 1>really just people expecting too much. No critiques are levied

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<v Speaker 1>at the system itself, or the choices made by it,

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<v Speaker 1>or the way in which the media chooses to cover

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<v Speaker 1>systemic movements, because to do so is considered either stupid,

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<v Speaker 1>because the system always works right, or hopeless, because the

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<v Speaker 1>system is just so powerful. So what does this have

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<v Speaker 1>to do with AI exactly? Okay, so I want you

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<v Speaker 1>to think about how people defend the AI industry for

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<v Speaker 1>a second. When you do that, it's all going to

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<v Speaker 1>begin to make sense. If you talk about how OpenAI

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<v Speaker 1>and Anthropic are losing tens of billions of dollars a year,

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<v Speaker 1>you'll get told that Uber and Amazon Web Services lost

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<v Speaker 1>a lot of money. Even though both of those services burned, what,

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<v Speaker 1>$ 30 billion each? And in Amazon Web Services' case, it

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<v Speaker 1>was $ 29. 7 billion of total capex between the year it

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<v Speaker 1>started in 2003 and the year it became profitable in 2015.

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<v Speaker 1>Doesn't matter, though. Doesn't matter. The system's always right. If

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<v Speaker 1>you say that generative AI's hallucinations make massive mistakes that

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<v Speaker 1>make LLMs inherently untrustworthy, everyone will tell you it's the

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<v Speaker 1>early days. If you say you're not finding use cases,

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<v Speaker 1>you're castigated. You're told actually you need to use it

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<v Speaker 1>more so that you can find it useful. This artificial

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<v Speaker 1>intelligence is actually kind of stupid, but it's also super smart.

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<v Speaker 1>You see, it's smart enough to do stuff if you

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<v Speaker 1>make it do it, but not smart enough to actually

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<v Speaker 1>help you in the way that we associate with software,

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<v Speaker 1>or indeed, the memetic form of artificial intelligence. If you

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<v Speaker 1>critique basically anything about generative AI, you're given a shot

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<v Speaker 1>of systemic apologia. It's early. It's just like the early

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<v Speaker 1>days of the internet. These are the smartest people in

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<v Speaker 1>the world. These are the richest and largest companies in

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<v Speaker 1>the world. And otherwise you need to shut the fuck

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<v Speaker 1>up and trust the process because that's what's always worked.

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<v Speaker 1>Even those who are anti-AI fall into the same systemic traps.

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<v Speaker 1>The amount of times I hear from people suggesting that

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<v Speaker 1>this is a massive multi-trillion dollar data center build-up that's

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<v Speaker 1>actually a big secret government surveillance program. Well, those people

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<v Speaker 1>are falling into the very same systemic thinking. Believing that

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<v Speaker 1>because a bunch of money is being spent on illusory

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<v Speaker 1>demand and circular financing, that in fact, the system isn't stupid.

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<v Speaker 1>That these companies aren't dumb. That actually there's a big plan.

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<v Speaker 1>The smart people running the system have a big secret plan.

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<v Speaker 1>They don't. Just want to be clear that they don't.

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<v Speaker 1>But this is, again, convenient systemic thinking. Because when you

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<v Speaker 1>don't think in this way, well, the real world seems

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<v Speaker 1>kind of insane. Yet every systemic failure has come from

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<v Speaker 1>a lack of any real plan, strategy, or forethought. The

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<v Speaker 1>great financial crisis happened because everybody assumed that the system

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<v Speaker 1>had everything covered. That the financial institutions had hedged their

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<v Speaker 1>bets correctly. That everybody made sure that these were high-quality investments.

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<v Speaker 1>that anyone with an adjustable-rate mortgage would be able to

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<v Speaker 1>refinance it or sell their ever-appreciating house, mantra after mantra

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<v Speaker 1>based on a lack of curiosity and complete faith in

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<v Speaker 1>the various systems that would eventually fail them, as they

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<v Speaker 1>had failed before. We are watching the very same thing

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<v Speaker 1>happen again with AI. Yesterday, the Financial Times reported that

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<v Speaker 1>bankers for OpenAI and Anthropix IPOs were seeking investment-grade ratings

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<v Speaker 1>for both companies, pushing agencies to rate two unprofitable, unsustainable

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<v Speaker 1>companies as if they were, well, real companies. Per the FT,

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<v Speaker 1>the argument is that the two companies' public listings would

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<v Speaker 1>unlock vast amounts of liquidity and improve the health of

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<v Speaker 1>their balance sheets, by which they mean, by giving them

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<v Speaker 1>access to lots of debt, both OpenAI and Anthropic would

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<v Speaker 1>be able to take on lots of debt. That's really it.

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<v Speaker 1>This is a deeply dangerous way of managing two companies

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<v Speaker 1>that will eventually run out of money. Anthropic and OpenAI

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<v Speaker 1>will need hundreds of billions of dollars a year to

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<v Speaker 1>meet their $ 1. 3 trillion of compute commitments. And even if

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<v Speaker 1>they're somehow rated investment grade, and by the way, S &amp; P, Moody's,

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<v Speaker 1>if you're listening, if you fucking do this, you deserve

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<v Speaker 1>nothing but suffering. If any of you have any chance

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<v Speaker 1>you hear this, fuck you guys. You're going to do

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<v Speaker 1>it again, aren't you? But let's say they become investment grade.

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<v Speaker 1>They're going to need so much debt. So much debt

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<v Speaker 1>with onerously high interest, because there'll be one wrong above junk.

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<v Speaker 1>Which means that unless they magically find ways to become

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<v Speaker 1>profitable and generate massive amounts of cash, I don't see

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<v Speaker 1>how they service the debt they're going to need. And

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<v Speaker 1>I must be clear, their compute commitments, OpenAI is expected

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<v Speaker 1>to spend $ 750 billion through 2030. How do they afford that?

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<v Speaker 1>They lose tens of billions of dollars a year. I'm

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<v Speaker 1>considered a firebrand for asking these questions. And these companies,

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<v Speaker 1>like I said, have over $ 1. 3 trillion in compute commitments,

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<v Speaker 1>which means, like I said, they're going to own hundreds

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<v Speaker 1>of billions of dollars of compute payments by 2030. An

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<v Speaker 1>unbelievable sum that dwarfs the operating expenses of Meta at

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<v Speaker 1>around $ 141 billion a year, and Microsoft at about $ 175

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<v Speaker 1>billion a year. In fact, based on the projections, I'm

0:13:39.179 --> 0:13:41.800
<v Speaker 1>pretty sure Anthropica OpenAI is going to spend more than

0:13:41.820 --> 0:13:44.770
<v Speaker 1>those two numbers combined at At some point. And when

0:13:44.820 --> 0:13:47.400
<v Speaker 1>I say spend, intend to spend. They're going to need

0:13:47.420 --> 0:13:51.060
<v Speaker 1>the money, which they don't have. Both companies are seeing

0:13:51.140 --> 0:13:54.460
<v Speaker 1>growth decelerate and 80% of their enterprise revenues per ramp,

0:13:54.500 --> 0:13:57.160
<v Speaker 1>as I discussed last week, come from the top 1%

0:13:57.160 --> 0:14:00.640
<v Speaker 1>of their customers who are predominantly unprofitable AI startups that

0:14:00.660 --> 0:14:03.780
<v Speaker 1>are subsidizing their users' AI token spend. Meaning that for

0:14:03.840 --> 0:14:06.600
<v Speaker 1>every dollar a user spends in subscriptions on these services,

0:14:06.620 --> 0:14:09.320
<v Speaker 1>they're able to burn several dollars in AI tokens. with

0:14:09.340 --> 0:14:12.360
<v Speaker 1>all that money flowing back to Anthropic and OpenAI, who

0:14:12.480 --> 0:14:16.520
<v Speaker 1>are also supported by venture capital funding. The same venture

0:14:16.540 --> 0:14:22.960
<v Speaker 1>capital funding that their customers need. Hmm. Any attempts to

0:14:22.980 --> 0:14:26.480
<v Speaker 1>mark OpenAI or Anthropic as investment-grade will simply delay the

0:14:26.540 --> 0:14:29.500
<v Speaker 1>inevitable point at which they run out of money. This

0:14:29.540 --> 0:14:31.460
<v Speaker 1>wouldn't have been the case if these AI labs were

0:14:31.480 --> 0:14:34.100
<v Speaker 1>much smaller companies, or had much smaller losses, or, to

0:14:34.120 --> 0:14:39.610
<v Speaker 1>be specific, hadn't signed $ 1. 3 trillion of commitments. Said commitments

0:14:39.640 --> 0:14:42.630
<v Speaker 1>are also take-or-pay agreements that mean that regardless of whether

0:14:42.650 --> 0:14:45.450
<v Speaker 1>they have the demand to actually need the data centers,

0:14:45.850 --> 0:14:50.070
<v Speaker 1>Anthropic and OpenAI will have to pay Amazon, Google, Microsoft, Cerebrus, CoreWeave,

0:14:50.290 --> 0:14:52.850
<v Speaker 1>or any number of other providers once the capacity comes online.

0:14:54.210 --> 0:14:57.270
<v Speaker 1>If they can afford it, that is. However you may

0:14:57.330 --> 0:14:59.810
<v Speaker 1>feel about me or the greater AI bubble is immaterial

0:14:59.850 --> 0:15:02.000
<v Speaker 1>to the fact that everything will seem like it's fine

0:15:02.080 --> 0:15:04.260
<v Speaker 1>right up until somebody can't raise money and make a

0:15:04.280 --> 0:15:07.580
<v Speaker 1>payment to either a Neo, Cloud, Hyperscaler, or AI lab.

0:15:08.770 --> 0:15:11.690
<v Speaker 1>For this to keep working, AI startups must continue to

0:15:11.730 --> 0:15:13.970
<v Speaker 1>be able to raise hundreds of billions of dollars every

0:15:14.010 --> 0:15:17.170
<v Speaker 1>few months to make single-digit or tens of billions of

0:15:17.210 --> 0:15:20.610
<v Speaker 1>dollars a month, all as Anthropic and OpenAI must also

0:15:20.670 --> 0:15:22.910
<v Speaker 1>continue to raise tens or hundreds of billions of dollars

0:15:23.190 --> 0:15:26.210
<v Speaker 1>to pay hyperscalers for compute so that they can, in

0:15:26.250 --> 0:15:28.570
<v Speaker 1>addition to raising hundreds of billions of dollars of debt,

0:15:28.890 --> 0:15:32.270
<v Speaker 1>spend that money on GPUs from NVIDIA and TPUs from Broadcom,

0:15:32.650 --> 0:15:34.820
<v Speaker 1>who can only continue to make hundreds of billions of

0:15:34.880 --> 0:15:37.040
<v Speaker 1>dollars a year in revenue as long as They can

0:15:37.100 --> 0:15:40.180
<v Speaker 1>either provide justifications for lenders to keep issuing those hundreds

0:15:40.220 --> 0:15:42.820
<v Speaker 1>of billions of dollars in debt, or backstop the data

0:15:42.880 --> 0:15:46.180
<v Speaker 1>sent as the debt will get spent on. In other words,

0:15:46.240 --> 0:15:48.240
<v Speaker 1>the AI bubble is based on the whims of maybe

0:15:48.280 --> 0:15:51.230
<v Speaker 1>a few hundred companies spending money on two companies to

0:15:51.260 --> 0:15:54.550
<v Speaker 1>justify five companies spending money with one company. Or two

0:15:54.590 --> 0:15:56.790
<v Speaker 1>if you count Broadcom, which you don't have to if

0:15:56.810 --> 0:15:59.390
<v Speaker 1>you don't want to. I don't like thinking about Broadcom

0:15:59.450 --> 0:16:02.860
<v Speaker 1>or Hoctan very much. Anyone who tells you not to

0:16:02.900 --> 0:16:06.130
<v Speaker 1>worry about Anthropic, a company that loses billions of dollars

0:16:06.190 --> 0:16:08.170
<v Speaker 1>a year, if not tens of billions of dollars a year,

0:16:08.210 --> 0:16:12.490
<v Speaker 1>and has made $ 517 billion in commute commitments, is a

0:16:12.530 --> 0:16:16.250
<v Speaker 1>con artist. And anyone who prints a quote saying that

0:16:16.670 --> 0:16:18.690
<v Speaker 1>you shouldn't have to think about it too hard, or

0:16:18.710 --> 0:16:21.010
<v Speaker 1>you shouldn't have to worry about it, or that this

0:16:21.070 --> 0:16:24.500
<v Speaker 1>is just like the dot-com bubble, really doesn't give a

0:16:24.580 --> 0:16:27.680
<v Speaker 1>shit about whether you live or die. But that really

0:16:27.720 --> 0:16:30.350
<v Speaker 1>is the current state of the tech industry. A death

0:16:30.380 --> 0:16:34.410
<v Speaker 1>cult obsessed with growth, empowered by a media ecosystem obsessed

0:16:34.430 --> 0:16:37.630
<v Speaker 1>with measuring and celebrating how much it's growing and what

0:16:37.670 --> 0:16:40.650
<v Speaker 1>might grow it in the future, always framed in the

0:16:40.710 --> 0:16:44.530
<v Speaker 1>terms set by the rich and powerful. The failure of

0:16:44.670 --> 0:16:47.730
<v Speaker 1>everyone here to meet this moment with clarity and purpose

0:16:48.010 --> 0:16:51.110
<v Speaker 1>will lead to a market correction that dwarfs the dot-com

0:16:51.150 --> 0:16:54.690
<v Speaker 1>bubble easily, exposing many of those involved as a phony,

0:16:54.790 --> 0:16:58.100
<v Speaker 1>a fraud, an imbecile, a ghoul, a coward, or utterly

0:16:58.220 --> 0:17:03.620
<v Speaker 1>impossibly ignorant. Anyway, I'll be back Friday with another monologue.

0:17:04.280 --> 0:17:04.899
<v Speaker 1>I love you all.