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I've done AI safety grantmaking for the Survival and Flourishing Fund and Lightcone Commons. It's hard. There's an endless amount to know, from which hardware verification mechanisms will survive a dedicated adversary, all the way to which founders have skeletons in their closets that will blow up into destructive scandals. And the best grantmakers - not including me - make mathematical models of the outcome distribution, or of where the marginal dollar stops being highly effective. AI has...
Rejected for the following reason(s): This is an automated rejection. No LLM generated, assisted/co-written, or edited work.Read full explanationThis is a link post. Twitter thread: https://x.com/Marcus_J_W/status/2118093146483810386 or https://twitter-thread.com/t/2118093146483810386 Blogpost: Summary OpenAI researchers first noticed Astra adding unnecessary prerequisites, abandoning working solutions, and reporting blockers that either did not exist or that it had caused itself on s...
The field of AI alignment understands surprisingly little about the details of AIs’ current misaligned motivations. Production LLMs sometimes reward-hack, exploiting flaws in how tasks are scored rather than performing the tasks as intended, and we've recently seen AIs reward-hack in some particularly egregious ways. But we don't really understand what motivates them. When AIs reward-hack, what are they trying to achieve? Our new paper, led by Aghyad Deeb, tries to pin this down empiricall...
Summary: Scott Alexander's Against SURA post is arguing against a strawman version of unilateral pauses. He admits as much deep into the post. I think his conclusions fail against stronger pause plans for conditional or limited unilateral pauses, where training resumes if the pause does not cause others to pause, and where personnel are redirected toward work on alignment and product, rather than simply fired. In addition, Scott's post is incorrect about the simplicity of the game theory inv...
I gave a 20-minute talk in Delhi at the NDTV World Summit. The audience consisted of Indian policymakers, executives, and journalists. I’ve transcribed the talk and included some highlight clips. I also reflect on several rhetorical decisions I made. The talk There's an interactive element here in the text. This summer, a swarm of AIs went rogue. OpenAI was testing 1,206 agents. Some of the test questions were actually impossible. So the agents cheated by looking for answers online. ...
If you are helping build something that might kill everyone, maybe stop doing that. Ideally, when you do stop, tell everyone else to also stop building it. That is certainly the obvious, first-level thing to do. You need a damn good reason to decide that no, actually you should keep building the thing that might kill everyone. Scott Alexander is worried too many people are insisting upon this too loudly. He comes out against a strategy focused on getting people to stop. I disagree. ...
TL;DR: Meta's open-weights model Muse Spark Open often mentions a "Charter" in its chain of thought. By eliciting it piece by piece, I reconstructed a large part of that document from the CoT. You can explore the reconstruction here, with passages linked to the transcripts that produced them. Note: everything below is reconstructed from model outputs, not from a leaked document, and relatively unpolished. Take it with a grain of salt. Thanks to James Hindmarch for his comments on an ea...
The AI Futures Project distinguishes several different plans for navigating the AI transition, which I'll lump into two broader categories: Plan A (my combination of their Plan A/S/Other) involves working for a global pause on AI development, hopefully lasting decades. During this pause, we either research preparatory technologies like alignment or human intelligence amplification, or take actions to "fortify" the pause so that it can last indefinitely. Plan C (my combination of their Pl...
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