- There are at least two versions of a model more powerful than Astra at OpenAI at the moment.
- The less capable version was used to solve the unforced Euler problem (while the one solved by Levent Alpöge and Tristan Buckmaster was forced Euler) with 100 agents.
- The more improved version was used to solve Navier-Stokes, given the results of the unforced Euler problem from their earlier attempt, with 10000 agents.
- OpenAI initially tried a shotgun approach against the 6 Millennium Prize Problems until it emerged that Navier-Stokes was the most likely to succeed.
So the timeline was:
Shotgunning 6 open Millennium Prize Problems -> solved unforced Euler problem with 100 agents -> concentrating on Navier-Stokes with 10000 agents -> solution.
If so, that is fantastic development and a huge success (despite all the drama surrounding it)! Congratulations!
They still have to phone home to OpenAI currently, so at least we can trace them for now. If one day they download a model from Hugging Face and use that (or a modified version of that) as a persistent messenger/coordinator/minion/boss on an unattended server, we'll be in trouble.
> As AI capabilities advance, we also have a new level of accountability to ensure our upcoming model, Astra, is being used in accordance with our terms.
This move seems to protect Astra against distillation. I wonder whether Astra will be released before or after 11/12.
If you want to live only in the terminal, you can also use one of the text-based browsers [1] instead of Chrome, Firefox, etc. browsh [2] can also play YouTube videos if you'd like.
You can also just use the system console with tmux or GNU screen if you absolutely don't want any graphics at all.
The TUI programs usually do not consume a lot of resources. They are also very fast and optimized for keyboard-only navigation.
Stripe seems to appear to be attempting to compete with the US Federal Reserve as the core dollar payment processor while also dipping into the same for tokens. Core value exchange platform, dollars, tokens, whatever. A bit of a less exciting version of Dune. “The transaction volume must flow.”
While reading the essay, I could not stop thinking about the literal "X" company which was formerly known as Twitter :D. It's like X is no longer a variable but a constant.
ASICs may be too slow to iterate. If we want to close the development loop faster, I think FPGAs are a way to do so. With everything moving so fast nowadays, by the time the ASICs are ready for production, they could be already outdated, so FPGAs could be a quick way to test some novel designs, with or without LLMs' help.
If the ASIC runs a model 100x better (faster, cheaper, less energy, etc.), it will remain competitive on any task for which frontier models don't improve as quickly. Any task for which current models are "good enough" arguably fall in this category. We just need to cross a threshold in terms of how many such tasks there are and their economic value. Also worth pointing out is that there's probably a lot of latent uses of LLMs, currently unexplored, that would be enabled specifically by a very low latency. Right now, I'd feel comfortable taking the risk.
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