Re:Anthropic IPO Valuation Talks Drop to $1.3T as Major Inve...
by shepherdjerred on Saturday November 07, 2026 @12:44AM
(#50401984)
> but your requirements didn't go up.
I am definitely building more and more ambitious projects as models improve. Both personally and at work
Re:Anthropic IPO Valuation Talks Drop to $1.3T as Major Inve...
by beloch on Saturday November 07, 2026 @12:49AM
(#50402007)
I suppose I should have said they just didn't go up faster than the capabilities of local models are improving. I suspect local model/hardware capability will scale up faster than most people's needs when it comes to coding. That's a problem for Sam Altman.
Re:Anthropic IPO Valuation Talks Drop to $1.3T as Major Inve...
by shepherdjerred on Saturday November 07, 2026 @01:12PM
(#50406673)
Open weight/local models are important but they do not compete with frontier models like Fable/Astra. They aren’t even close.
Re:Anthropic IPO Valuation Talks Drop to $1.3T as Major Inve...
by hermitShell on Saturday November 07, 2026 @10:42AM
(#50405469)
I agree with you that if the trends of 2025-2026 continue into 2027-2028 for open weight models and local inference, 120b param open models will be more than good enough for 80% of today's use cases.
If so how can you justify OpenAI and Anthropic and the AI buildout?
You're an example of this process. You used to require a frontier model running on a data centre. Algorithms improved and, perhaps, your hardware as well, but your requirements didn't go up. Now you can do what you need to do with local hardware. You're one AI user who might not need to send money to Anthropic going forward unless you find a new frontier application that interests you.
This is why I'm a little bearish when it comes to the valuation of the AI giants. Yes, there are some extremely lucrative things on the frontier right now but, in the future, people may shift a lot of what they're doing now to local hardware while new things on the frontier may not produce the kind of profits that will pay back trillions in debt. AI companies have bet big on themselves being able to constantly and perpetually find new applications, and also that those new applications will make money.