Just playing devil's advocate: VCs (esp those who missed out on OAI) are heavily incentivized to root for OAI to fail, and commoditize the biggest COGs item (AI models). This guy is just talking his book.
That doesn't make any sense. A lack of investment is not an investment against by any means, unless this VC invested in the concept of less spam or more workers.
Why OpenAI's $157B valuation misreads AI's future (Oct 2024)
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Re: Why OpenAI's $157B valuation misreads AI's future (Oct 2024)
#32A year ago Sam Altman was going around trying to convince people we all needed to drop 7 trillion dollars to build hundreds of fabs and nuclear power plants to fuel his AI ambitions. Only a week ago he was triumphantly announcing 500 billion dollar deals with our new President. The (regrettably temporary) ousting of Sam Altman looks like the right call, in hindsight. Of course some amount of showmanship is expected,…
Re: Why OpenAI's $157B valuation misreads AI's future (Oct 2024)
#33AI is still a fad.
Re: Why OpenAI's $157B valuation misreads AI's future (Oct 2024)
#34Re: Why OpenAI's $157B valuation misreads AI's future (Oct 2024)
#35> But while Facebook’s costs decreased as it scaled, OpenAI’s costs are growing in lockstep with its revenue, and sometimes faster And here comes DeepSeek and takes the steam out of this and the cost arguments that follow it.
How does OpenAI get paid for a use case that can easily be run locally on an iPhone?
Re: Why OpenAI's $157B valuation misreads AI's future (Oct 2024)
#36Earlier quoted context omitted.
Until now we know only what the they claim what that costs are.
Inference costs can't be faked though, since the model can be run locally by anyone with capable hardware. Even if the whole story about the training cost was fake, R1 and the distilled models are still very efficient at inference.
Re: Why OpenAI's $157B valuation misreads AI's future (Oct 2024)
#37Earlier quoted context omitted.
Until now we know only what the they claim what that costs are.
Inference costs can't be faked though, since the model can be run locally by anyone with capable hardware. Even if the whole story about the training cost was fake, R1 and the distilled models are still very efficient at inference.
Re: Why OpenAI's $157B valuation misreads AI's future (Oct 2024)
#38AI is still a fad.
You're holding it wrong.
Re: Why OpenAI's $157B valuation misreads AI's future (Oct 2024)
#39I also still don’t believe their cost figures, and think they’re leaving out the capital to acquire their secret GPU stash and the cost of pre training their base model (DeepSeek-V3-base). I also suspect their training corpus, which they’ve only vaguely described, would reveal the savings came from working off other foundational models’ work without counting those costs in their figure.
For now, I treat the cost claim as simply a calculated strategy for China to not look like they’re behind in the most important race, to prevent investors from continuing to boost US technology by causing them to doubt the ROI, and to take value out of the US stock market as they did today.
Re: Why OpenAI's $157B valuation misreads AI's future (Oct 2024)
#40Earlier quoted context omitted.
Until now we know only what the they claim what that costs are.
Inference costs can't be faked though, since the model can be run locally by anyone with capable hardware. Even if the whole story about the training cost was fake, R1 and the distilled models are still very efficient at inference.