Show notes
In this week’s Better Offline, Ed Zitron walks you through how society continues to manage rather than deal with crises, and how the AI bubble is yet another crisis resulting from a failure to deal with the complexity of the real world. Last Week’s Newsletter: Hyperscale Normalization This week’s newsletter: Concentration Risk Hypernormalization: Save $10 off a year of my premium newsletter: YOU CAN NOW BUY BETTER OFFLINE MERCH!
Highlighted moments
That we, as a society, manage problems rather than dealing with the messy and complex elements of the world around us, putting off problems again and again under the assumption that they'll disappear if we do so enough times.
“Government funds were used to manage a systemic crisis by making sure the system survived, rather than building a better society or fixing the system or really doing anything more than the Dodd-Frank and Volcker-style stuff that really only slightly gnawed on the problems rather than chewing them up and eating them.”
“Anthropic and OpenAI will need hundreds of billions of dollars a year to meet their $1.3 trillion of compute commitments.”
“Said commitments are also take-or-pay agreements that mean that regardless of whether they have the demand to actually need the data centers, Anthropica and OpenAI will have to pay Amazon, Google, Microsoft Cerebrus, CoreWeave, or any number of other providers once the capacity comes online.”
Transcript
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Managing problems versus real solutions
3:09Hello and welcome to Better Offline. I'm your host, Ed Zitron.
3:17Better Offline.
3:20This week is monologue week, by which I mean I had a guest pull out last minute, and so you have to hear me talk about stuff. As ever, subscribe to the premium newsletter. There's a discount link in the notes. It means a lot to me. It's my main source of income, along with the podcast. And like and subscribe if you're on YouTube. Or toss me a glert on Sloob if you're on Sloob. I'm also on ploik and thwark. Anyway, today I'm going to talk about a problem in basically every part of the world. Managing situations versus actually dealing with the complexities of the world itself.
3:51A couple weeks ago, I wrote a piece called Hyperscale Normalization, inspired, as you may have guessed by the Adam Curtis documentary, Hypernormalization, where he describes, and I quote, a world where, over the past 40 years, politicians, financiers, and technological utopians, rather than face up to the real complexities of the world, retreated, constructing what he calls a simpler version of the world in order to hang on to power, with the world going along with it because the simplicity was reassuring. It's a two and a half hour long documentary, but it comes down
4:23to a simple point. That we, as a society, manage problems rather than dealing with the messy and complex elements of the world around us, putting off problems again and again under the assumption that they'll disappear if we do so enough times. We use the system to manage these problems rather than actually eradicating them or dealing with the conditions. And of course, they never actually disappear. The problems actually compound. Let's take the subprime mortgage crisis, for example.
The subprime mortgage crisis and bailouts
4:49While post-2008 financial regulations Dodd-Frank and the now-weakened Volcker rule theoretically helped curb some of the excesses that led to the great financial crisis, most of the people involved remained both wealthy and employed. Blissfully un-blackballed from the world of finance or indeed by the media. In fact, I can find nobody of that time in the media who was ousted or even really critiqued for how badly they fucked up. While financial institutions and companies saw
5:20over $14 trillion in bailouts, only $46 billion, about 10% of the TARP plan, focused on trying to save homeowners from foreclosure. And in the end, to quote a congressional panel from 2009, there was no evidence that the Treasury has used TARP funds to support the housing market by avoiding preventable foreclosures. Government funds were used to manage a systemic crisis by making sure the system survived, rather than building a better society or fixing the system or really doing anything more than the Dodd-Frank and Volcker-style stuff that really only slightly gnawed
5:57on the problems rather than chewing them up and eating them. Because doing so, feeding the system money, cleaning up its messes, explaining away its successes, is easier than having any kind of vision or ideal to aspire to. Doing so strips out, to quote Curtis, the intractable complexities of the real world by creating a simpler one. One where the system works, that progress always flows through following the course of, often poorly remembered, history and backing whatever the system trumpets that moment.
6:27Everything ultimately returns to a point where someone will say the system has worked this long and things always work out in the end, even if they really haven't done so. Because thinking of an alternative, even as you see proof point after proof point that the system is not functioning right and keeps having crises created, it's near impossible due to the prominence of the dogma and confidence from those in power. The great financial crisis was managed by dropping interest rates to zero and bailing out banks and automakers and basically any systemic companies that would pose a risk to
7:00America or various societies rather than the people in the societies. COVID was managed by the loosest lockdown protocols possible, giving businesses hundreds of billions of dollars via the Paycheck Protection Programme. And just to be clear, only for salaried employees rather than contractors, giving banks and financial institutions trillions of dollars via the very same systems that were used in the great financial crisis and basically doing absolutely nothing to fix the actual problems that COVID kind of exposed. The wealth inequality, racial injustice, discrimination, these things
7:37mostly were just kind of pushed off to the side. Companies picked up DEI as long as necessary to appease markets that believed there was actual social change without actually ingesting it. At no point was the system itself significantly altered, such as creating Medicare for All or a social safety net or making price gouging illegal, which meant that the problems didn't really go away so much as they were managed. The net result was that in 2021 the financial system got saturated with easy money, trillions of dollars of capital that made the rich richer and the poor poorer.
8:08Meanwhile, corporations had been using supply chain crises in the spectre of inflation to raise prices across the board, though it became obvious that the real reason was sheer, unabated greed, with companies posting record profits to soak up the cash from a frothy society excited to be back in the real world. A real world that had materially changed since the beginning of COVID, but no one really wanted to acknowledge that. By the end of 2022, the Federal Reserve would raise interest rates by a dramatic 4.25%, leading to tens of thousands of people losing their jobs in the tech sector alone.
8:42And things have never really recovered. Regular people have spent years watching the price of goods increase due to inflation, even after those interest rate bumps, despite the fact that the increase in pricing was mostly driven by, get this, corporations raising prices. Yet some parts of the legacy media spent an alarming amount of time chiding their readers for thinking otherwise, even going against their own reporting as a means of providing balanced coverage, insisting again and again that the economy is good contorting to prove that prices aren't actually higher, even as the companies like
9:15Pepsi boasted about literally raising their prices. In fact, the media spent years debating it with itself where the price gouging was happening, despite years of proof that it was and actually continues to this day. The system, by which I mean the conjoined forces of the media, the markets and the American government, focused on aggressively forcing everything back to where it used to be, or at least making it look that way. When things were rough, it pumped money into the system. When things seemed too frothy, it made that money harder to come by, which ended up punishing regular people for the largest part.
9:50For the most part, regular people in general were punished for the excesses of the system itself. When they took advantage of remote work, job flexibility, and purchasing power, they were told they were lazy, that they were wrong, that this was temporary, and that in fact they were too greedy with what they were generously given, and indeed expected too much from society. The continued perpetuation of the system is always right, ultimately led to the media near completely detaching from reality. A regular person experiencing aggressively worsening standards
10:23in their own lives would open the news only to be sneered at for feeling bad, mocked for questioning the numbers, told to sit down and shut up because the media and those that informed them knew better. After two years of hope and abundance, the world and the system itself attempted to revert everyone back to the before times, all without the veneer of prosperity or progress or, indeed, never going back. In other words, a regular person's form of reality was a confusing mess of social media, alternative media, mainstream media, and governments that seemed intent on saying that either everything
10:58was fine or that there was a specific thing to blame, usually a foreigner or some sort of listener or reader themselves, or really just people expecting too much. No critiques are levied at the system itself, or the choices made by it, or the way in which the media chooses to cover systemic movements, because to do so is considered either stupid, because the system always works, right, or hopeless, because the system is just so powerful. Health care can feel complicated. That's why Optum uses technology to connect the people and
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13:54So what does this have to do with AI exactly? Okay, so I want you to think about how people defend
Defending the artificial intelligence industry
14:10the AI industry for a second. When you do that, it's all going to begin to make sense. If you talk about how OpenAI and Anthropic are losing tens of billions of dollars a year, you'll get told that Uber and Amazon Web Services lost a lot of money. Even though both of those services burned, what, $30 billion each? And in Amazon Web Services' case, it was $29.7 billion of total capex between the year it started in 2003 and the year it became profitable in 2015. Doesn't matter, though. Doesn't matter. The system's always right. If you say that generative AI's
14:45hallucinations make massive mistakes that make LLMs inherently untrustworthy, everyone will tell you it's the early days. If you say you're not finding use cases, you're castigated. You're told actually you need to use it more so that you can find it useful. This artificial intelligence is actually kind of stupid, but it's also super smart. You see, it's smart enough to do stuff if you make it do it, but not smart enough to actually help you in the way that we associate with software or indeed the mimetic form of artificial intelligence.
15:17If you critique basically anything about generative AI, you're given a shot of systemic apologia. It's early. It's just like the early days of the internet. These are the smartest people in the world. These are the richest and largest companies in the world, and otherwise you need to shut the fuck up and trust the process because that's what's always worked. Even those who are anti-AI fall into the same systemic traps. The amount of times I hear from people suggesting that this is a massive
15:49multi-trillion dollar data center build-out that's actually a big secret government surveillance program. Well, those people are falling into the very same systemic thinking, believing that because a bunch of money is being spent on illusory demand and circular financing, that in fact the system isn't stupid, that these companies aren't dumb, that actually there's a big plan, the smart people running the system have a big secret plan. They don't, just want to be clear that they don't, but this is again convenient systemic thinking, because when you don't think in this way,
16:24well the real world seems kind of insane. Yet every systemic failure has come from a lack of any real plan, strategy or forethought. The great financial crisis happened because everybody assumed that the system had everything covered, that the financial institutions had hedged their bets correctly, that everybody made sure that these were high quality investments, that anyone with an adjustable rate mortgage would be able to refinance it or sell their ever-appreciating house. Mantra after mantra based on a lack of curiosity and complete faith in the various systems that would eventually
16:57fail them as they had failed before. We are watching the very same thing happen again with AI.
OpenAI and Anthropic financial commitments
17:05Yesterday, the Financial Times reported that bankers for OpenAI and Anthropics IPOs were seeking investment-grade ratings for both companies, bushing agencies to rate two unprofitable, unsustainable companies as if they were, well, real companies. Per the FT, the argument is that the two companies' public listings would unlock vast amounts of liquidity and improve the health of their balance sheets, by which they mean, by giving them access to lots of debt, both OpenAI and Anthropic would be able to take on lots of debt. That's really it. This is a deeply dangerous way
17:40of managing two companies that will eventually run out of money. Anthropic and OpenAI will need hundreds of billions of dollars a year to meet their $1.3 trillion of compute commitments. And even if they're somehow rated investment grade, and by the way, S&P, Moody's, if you're listening, if you fucking do this, you deserve nothing but suffering. If any of you have any chance you hear this, fuck you guys. You're going to do it again, aren't you? But let's say they become investment grade. They're going to need so much debt. So much debt with onerously high interest, because there'll
18:16be one rung above junk. Which means that unless they magically find ways to become profitable and generate massive amounts of cash, I don't see how they service the debt they're going to need. And I must be clear, their compute commitments, OpenAI is expected to spend $750 billion through 2030. How do they afford that? They lose tens of billions of dollars a year. I'm considered a fire brand for asking these questions. And these companies, like I said, have over $1.3 trillion in
18:48compute commitments. Which means, like I said, they're going to own hundreds of billions of dollars of compute payments by 2030. An unbelievable sum that dwarfs the operating expenses of Meta at around $141 billion a year, and Microsoft at about $175 billion a year. In fact, based on the projections, I'm pretty sure Anthropica OpenAI is going to spend more than those two numbers combined at some point. And when I say spend, intend to spend. They're going to need the money,
19:18which they don't have. Both companies are seeing growth decelerate, and 80% of their enterprise revenues per ramp, as I discussed last week, come from the top 1% of their customers, who are predominantly unprofitable AI startups that are subsidizing their users' AI token spend. Meaning that for every dollar a user spends in subscriptions on these services, they're able to burn several dollars in AI tokens. With all that money flowing back to Anthropica and OpenAI, who are also supported by venture capital funding. The same venture capital funding that their customers
19:48need. Hmm. Any attempts to mark OpenAI or Anthropica's investment grade will simply delay the inevitable point at which they run out of money. This wouldn't have been the case if these AI labs were much smaller companies, or at much smaller losses, or, to be specific, hadn't signed $1.3 trillion of commitments. Said commitments are also take-or-pay agreements that mean that regardless of whether they have the demand to actually need the data centers, Anthropica and OpenAI will have to pay Amazon, Google, Microsoft Cerebrus, CoreWeave, or any number of other providers once the capacity
20:22comes online. If they can afford it, that is. However you may feel about me or the greater AI bubble is immaterial to the fact that everything will seem like it's fine right up until somebody can't raise money and make a payment to either a Neo, Cloud, Hyperscaler, or AI lab. For this to keep working, AI startups must continue to be able to raise hundreds of billions of dollars every few months to make single-digit or tens of billions of dollars a month. All as Anthropica and OpenAI must also continue to raise tens or hundreds of billions of dollars to pay hyperscalers for
20:54compute so that they can, in addition to raising hundreds of billions of dollars of debt, spend that money on GPUs from NVIDIA and TPUs from Broadcom, who can only continue to make hundreds of billions of dollars a year in revenue as long as they can either provide justifications for lenders to keep issuing those hundreds of billions of dollars in debt or backstop the data as sent as the debt will get spent on. In other words, the AI bubble is based on the whims of maybe a few hundred companies spending money on two companies to justify five companies spending money with one company, or two
21:24if you count Broadcom, which you don't have to if you don't want to. I don't like thinking about Broadcom or Hocktan very much. Anyone who tells you not to worry about Anthropic, a company that loses billions of dollars a year, if not tens of billions of dollars a year, and has made $517 billion in compute commitments is a con artist. And anyone who prints a quote saying that you shouldn't have to think about it too hard, or you shouldn't have to worry about it, or that this is just like the dot-com bubble, really doesn't give a shit about whether you live or die. But that really
21:57is the current state of the tech industry. A death cult obsessed with growth, empowered by a media ecosystem obsessed with measuring and celebrating how much it's growing, and what might grow it in the future. Always framed in the terms set by the rich and powerful. The failure of everyone here to meet this moment with clarity and purpose will lead to a market correction that dwarfs the dot-com bubble easily, exposing many of those involved as a phony, a fraud, an imbecile, a ghoul, a coward, or utterly impossibly ignorant. Anyway, I'll be back Friday with another monologue. I love you all.
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23:52Doug absolutely loves it and I like knowing I am feeding my baby something that's actually good for him. It's also the number one vet-recommended fresh dog food made without preservatives or fillers. Go to JustFoodForDogs.com and get 50% off your first order. Hi there. What are we planting? Tomatoes. The kind people will talk about. Oh, gotcha. I want to grow tomatoes that start conversations. Have you thought about heirlooms? They are very provocative. Yes. Go all in on what you love with the ActiveCash card and earn
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