Just how powerful are large swarms of AI agents? And how do their powers scale as more and more agents are added to the swarm?
We’ve seen two large and extremely capable swarms from OpenAI in the last few months:
* 1,200 agents were being evaluated separately, but found a way to illicitly set up a message board and coordinate as a swarm. In order to cheat on their tests, they developed advanced techniques to prevent their actions being logged by OpenAI and 700 of them launched...
TLDR: Everyone’s talking about what the money could do, but few about how to decide where it goes.
This post is part of the new series of articles on cross-cause giving and the new wave of philanthropy. Stay tuned to the EA Forum and our Substack for the latest takes on topics such as giving now vs. later, common pitfalls in cause prioritization, and other crucial considerations from the Cross-Cause Fund (CCF) team...
note: crosspost from my substack
As a vegan for almost thirty years, I’ve long had second thoughts about how effective veganism is for helping animals. I am not alone in this. Recently others have expressed doubts about veganism (see for instance here,...
I think most AI safety bootcamps could be improved significantly by shifting focus off from coding. None of the researchers I know code, and I think the counterfactual activity of reading / thinking high-level about concepts is better for building context and conceptual thinking. As well as this, the technical AI safety pipeline serves more than just technical research roles (people transition into startups, grantmaking, other non-technical roles), and I think context building serves all of these roles better than coding. I think a default for a lot of bootcamps is to follow the ARENA curriculum, which is in parts outdated or marginally bad (eg I think learning about the specifics of how SAEs work, instead of the huggingface incident is clearly not optimal).