Blaine Dillingham @blainedilli
AI Policy @joinFAI Joined September 2021-
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Degrading performance on ML research *without telling the user* is shockingly hostile and a terrible look. That could silently damage all sorts of work, including some of my own. Also the type of thing that could raise the eyebrows of antitrust enforcers worldwide.
Labs starting to pull up the ladders on the ability to diffuse AI was inevitable. Doing it without telling the user is misaligned.
We may not want a total shield. We may want some disincentive against releasing weights of a model that is clearly super dangerous (a victim compensation fund makes plaintiffs whole but has no deterrence effect) Also, we don’t want to be too distortionary and for developers to have an enormous incentive to open-source to avoid liability. Perhaps we just apply a negligence standard to open source models, strict liability to AI otherwise. Or perhaps the bar for open source is even higher — something like gross negligence or even intentional tort
Uncertain how to handle liability for open source models. Releasing model weights could very reasonably be a proximate cause of harm. Could plausibly be considered an abnormally dangerous activity. And yet open source has positive externalities, including avoiding power concentration. Wild idea that’s probably bad, but a possibility: a govt-funded victim compensation fund. For vaccines we have liability shields and the govt pays out harmed plaintiffs
@sommbc @AdamThierer @pmarca Not sure it matters what the “point” or purpose is, it’s about what the effect is
Not what it says, bad reporting
Anthropic Urges Global Pause in AI Development, Flags ‘Self-Improvement’ Risk on.wsj.com/4o5IBpe
Re Obernolte Trahan, how would IVOs know there was a change to a model if they’re only auditing every 6 months? That’s a lifetime in AI world. Bill says CAISI director shall establish criteria for requiring continuous ongoing oversight and criteria for requiring audits more frequently than once every six months. But until that happens, it seems (g) only gets triggered if a lab voluntarily tells their auditor that something changed.
Is GAO well-positioned to do this? What’s their technical capacity like?
I think this is the most interesting point raised in this old piece from Dean, when do we allow parties to contractually waive tort liability? hyperdimensional.co/p/how-should-a…
Big fan of Seb Krier’s “Coasean Bargaining at Scale,” but I do wonder if litigation may become a better tool than negotiation in some ways—I expect AI to reduce litigation costs more than it reduces information asymmetry. This could justify a net shift from contract to tort
I wonder if one way to do arb is just using federal rules as the starting point, then making select modifications to enable speedup. Things like shorter deadlines. What other mods would we need?
Of course, this could flood the court system. So we need some combination of 1) AI adoption to speed up courts and 2) thoughtful governance of private arbitration to address the issues that do exist. The latter is important to tackle soon, as I expect a great portion of litigation to move towards arb
Joined forces with the Tech and Statecraft team @JoinFAI to cover Non-Disclosure Orders. NDOs let the government search your digital records — including chatbot conversations — while preventing the AI provider from telling you
Is the case against including Value of a Statistical Life in court-awarded damages just that the estimates have high variance?
@Allinallnotbad Odds after the 15% increase?
Requesting new mariokart courses
Claude Toad, Claude Probe, Claude Road, and Claude Cove
Exclusive: The U.S. and China are considering AI talks to manage risks and prevent crises as competition intensifies in a new tech era on.wsj.com/4wk96ew
It's deeply surreal to me that the administration appears to have casually gone from zero to "eh, maybe a full-on FDA-style licensing regime?" basically overnight. To be clear, I don't expect this to actually happen, but Kevin Hassett just went on Fox News and said "FDA-style licensing regime" in as many words. Wild times.
National Economic Council Director Kevin Hassett says future models may have to “go through a process” that is “just like an FDA drug” so that they can be “proven safe.” @tegmark’s dream coming true. In a recent debate with me, he likened this policy to an AI pause. Mistake!
Really wish this was about orbital data centers
We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity. This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.
There are better ways to mitigate AI risk than FDA-style approval regulation. papers.ssrn.com/sol3/papers.cf… I'm happy to brief any administration officials or members of Congress who are interested in a more decentralized, market-based approach to mitigating AI risk.
National Economic Council Director Kevin Hassett says future models may have to “go through a process” that is “just like an FDA drug” so that they can be “proven safe.” @tegmark’s dream coming true. In a recent debate with me, he likened this policy to an AI pause. Mistake!
Reed Schwartz @reedschwartzsf
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