Comment by CodingJeebus
11 days ago
OpenAI did confidentially file their S-1, which costs a ton of money to put together for the bankers and regulators to review. They did test the market and it looks like either the banks or people directly around Altman told him not to move forward. That doesn't mean Zitron was wrong about OpenAI IPOing. They took steps in that direction and then decided not to move forward. That's not his fault.
As far as the bubble bursting soon, we are starting to see some pretty concerning signals. The South Korean stock market triggered trading circuit breakers twice earlier this week to stop a runaway selloff in the tech sector. For reference, circuit breakers have only been triggered in the Korean market 10 times in history, and only 5 times ever in the US markets.
https://finance.yahoo.com/markets/world-indices/articles/kos...
FWIW I think there's a "Y2K never happened" future here, where the bubble never bursts (in the sense of some insane market valuation proving to be lunatic) but everyone does what they can to make sure it doesn't burst on them, and they pull back and the bubble just deflates.
Take for example the action on SPACs that made the "SPAC everything" era end.
Not popping doesn't seem possible to me, since all investment has been directed towards it, massive construction projects have been started, etc... The revenue needed to keep OpenAI and Anthropic afloat is insane and there's no way businesses are going to start paying the real price when there's no ROI compared to human expertise.
AGI is fundamentally impossible through data scaling like they tried to claim and achieving AGI is what all this depends on. The long tail problem will remain undefeated and the IPOs are a desperate move to get the cash needed to scale one last time.
They could have just kept improving the technology without all the psychosis and finding use cases and ways to make it more reliable but instead they bet everything on a language model becoming their slave god.
Slowly deflating would be nice, but I don't see how. In any case the economy is getting wrecked and any goodwill tech companies had with employees is gone after going completely adversarial towards them as soon as they had an opportunity to. The most profitable use case of gen-AI is still spams and scams.
I'm also feeling like that, not a quick burst like dot-com but a deflating bubble over next 24 months. During which AI costs rise and IPO valuation comes down.
Maybe my memory of dot-com is fuzzy (likely) and perhaps I didn't see early warning (or even didn't know how to see it). I feel like it all transpired over 3 months. And for those of us in Seattle the "death-knell" was the Nisqually quake that made much of Pioneer Square unsafe to occupy for a while.
One of the things that really strikes me is that there are so many people talking about how great the frontier models are but there's nowhere near as many people talking about open weights and local models.
There is this huge knowledge gap here about what the local models could do in terms of consumer queries with a tiny bit of agentic support. If more people could tinker with local models and see what they can do, I think there would be far less belief that only the big two/three hold the keys to the kingdom and far more that the future is a bit more distributed.
On that basis I am always on the lookout for coverage that gets into this — Cal Newport touches on it a bit — because I think it is one of the deflationary factors, as is the quality of open weights models, which in turn is why Anthropic is now getting credulous journalists to write about "distillation attacks".
Re: the dot-com crash, I was in the UK working for an internet startup at the time though I was on a sort of health break/sabbatical at the time of the pets.com crash, so I was reading and researching, and while I do remember the coverage of their valuation being insane, and agreeing with that, I also think it did not have such a long run-up. We did know in 1998 and 1999 that Broadvision's valuation seemed absolutely insane, for example, and that some e-commerce developer and design startups were radically overvalued, but what is so different about this time is how much more broadly things were distributed then. So many players. Even the major duality (which was Microsoft vs ABM — a loose coalition of "Anyone But Microsoft") had many more players.
Whereas now… it feels like a prequel to Rollerball.
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Maybe, it's certainly a possibility. I'm skeptical only because of the sheer amount of spending that Anthropic/OpenAI etc. are committed to. A soft deflation only makes sense to me if they start making a more profit-driven motion as opposed to growth at all costs, which I don't see happening.
Zitron's reporting shows that OpenAI's losses are scaling linearly with their growth, and their long-term valuation is based solely on the idea that they will eventually reverse this trend. Anthropic/OpenAI pumping the brakes on growth mode could have ripple effects throughout the entire market.
I think the more likely outcome is that these companies keep burning and demanding cash until investors call BS.