next_xibalba
Joined 4 years ago
Joined 4 years ago
According to the S1:
- FY24 revenue $386 million -> FY25 revenue $4.59 billion (+1,008%)
- Q126 revenue $4.7 billion -> Q26 revenue $11.5 billion (+145%)
That seems like pretty good evidence of current and ongoing explosive growth. Much of this revenue is pre-paid (re: cashflow). Meanwhile, operating margins went from -184% to -$4%.
Seems like pretty good evidence. Will growth continue apace? Unknown. But the arguments for Jevon's paradox applying to intelligence seem pretty convincing, so the TAM here seems likely to be enormous.
> All while everyone is discovering there isn’t really a secret sauce moat to demand
Also not convinced by this. The Chinese models seem to have distilled their way to current levels, with Anthropic and OpenAI now getting serious about defending against this.
I don't think you're definitely wrong in all this. Rather, I think your claims are too confident.
And, once again, the taxpayer turned a tidy profit on the bailouts.
Bonuses (owed under preexisting agreements) were an unfortunate necessity. The USG effectively nationalized AIG because it was determined to be too systemically important to be allowed to chaotically fail. So, the new owners needed to retain the employees necessary to continue its operations. To do so, they had to honor employee compensation agreements.
This turned out to be a wise move as the American taxpayer ended up turning a profit on the AIG bailout.
And it wasn’t as though the bonuses were uncontroversial. They were possible bc of loopholes in the bailout legislation. But the government was furious and, alongside public outrage, pressured the executives to give the back bonuses. The house of representatives even passed a bill to tax the bonuses at 90%. Many did voluntarily give them back.
[1] Examples I found: Worksport Ltd., Exicure, Inc., Rainmaker Worldwide Inc., and Acorn Energy, Inc.
And, in fact, they already do this:
- OpenAI [1]: "[you may not] Use Output to develop models that compete with OpenAI."
- Google [2]: "You may not use the Services to develop machine learning models or related technology."
- Anthropic [3]: "[You may not use our services] to develop any products or services that compete with our Services, including to develop or train any artificial intelligence or machine learning algorithms or models or resell the Services"
[1] https://openai.com/policies/row-terms-of-use/
[2] https://policies.google.com/terms/generative-ai/archive/2023...
You can compete fairly or unfairly.
In any event, distillation seems to be in a grey enough area that reasonable people can disagree (IMO). It strikes me as more akin to theft than to fair competition, but it doesn't seem like it should be treated as criminal. Rather, I think the onus should be on the labs to defend themselves against it.
All that said, Jensen's take is clearly quite biased.
None of this is to say that labs and researchers shouldn't take alignment extremely seriously and dedicate major resources to it. But, again, incentives. The lab(s) that allocates more resources to "intelligence" than alignment will have a compounding marginal advantage. And they all know that and are acting accordingly.
I've lived in the U.S. for 40 years in 8 different states and twice as many cities. Never once have I experienced this.
Huh? What does this mean? Isn't this a binary? Either they are or are not medicine. I don't "consider" Tylenol a medicine. It is because it has an effect.