Scientists at frontier AI companies are uniquely positioned to assess AI’s capabilities and warn the public about what they see. 1000+ of them are now speaking out across company lines to warn that the current commercial race leads to unacceptable security risks. I agree with their call: we need an international effort to develop technical and governance guardrails to ensure a safer trajectory in AI development.
This is the first time a debate over whether a model ‘was AGI’ felt non-silly. I do not think it is AGI, and I would warn against the dangers of using that label prematurely, but I would not laugh at you for disagreeing.
in this whole USA vs China thing OpenAI and Anthropic aren't relevant because they're positioned differently
them building better models doesn't hurt china at all
the competitor has to be
- american
- open source
- enough compute to do inference at scale
that can shift things
Doing "the hard thing" means pursuing the highest-value problem you can find that still sits inside your zone of expertise; the hardest problem you're personally in a position to win.
That's why I warn in my security documentation, don't use cheap models. Don't use Haiku or a local model. Even though I, I very much love the idea that this thing could completely run local. If you use a, a very weak local model, they are very gullible. It's very easy to, to prompt inject them.
The panel had a generally positive view of Phoenix, with one panelist calling it one of his “favorite open source eval tools.” The tool is positioned as a developer-first, notebook-centric platform.
These systems will be absolutely central to the economy, technology, and national security, and will be capable of so much autonomy that I consider it basically unacceptable for humanity to be totally ignorant of how they work.
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