I was really happy to appear on the @futureoflife.org podcast this week to talk about @evals-consensus.ai and the challenges of evaluations of AI systems, along with discussions of Goodhart's law, AIxBiosecurity, AI persuasion, forecasting, and human oversight of AI.
Who's Who of AI
David Manheim
Why they matter
Researcher with public evidence across AI business, AI research.
- AI signals
- 2 past 30d
- Sources
- 2 distinct domains
- Discusiones
- 0 past 30d
- Latest signal
- 10d ago
Humanity's future can be amazing - let's make sure it is.
Visiting lecturer at the Technion, founder https://alter.org.il, Superforecaster, Pardee RAND graduate.
What they're sharing
Why AI Evaluations Are Broken and How to Fix Them (with David Manheim) youtu.be
The Future Economics of LLMs — Interactive Companion davidmanheim.com
If AI is normal technology, history is not reassuring. davidmanheim.substack.com
Articles & links
I keep seeing claims AI companies will get rich, or won't make any money, or that open source models will be cheaper and undercut prices, and similar claims that ignore the simple fact that the economic pricing power is all about compute and token generation costs. davidmanhei…
New post: Huge technological revolutions aren't usually positive for those living through them - and this bodes poorly for AI even if it is a normal technology. davidmanheim.substack.com/p/if-ai-is-n...
Their own posts
Recent commentary
Over on the bird site, Anthropic employees are using their slop machine that 'can't think' to solve longstanding mathematical open questions which have eluded humans for close to a century.
GPT-5.5 seems to do more 'hacking per dollar' ...Mythos does more 'hacking per token'" - @peterwildeford.bsky.social Thinking about risks from bad actor's access to scaled models, the costs involved here are still absolutely tiny compared to other attack modes.
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