Compute Governance
Using control over the physical hardware required to train large AI models as a lever for AI governance. Includes export controls on advanced chips, monitoring of large training runs, and thresholds that trigger regulatory review.
Viewpoints
On compute governance
Mark Brakel
“putting a cap on the largest training runs you you can do uh for advanced AI We compare these various policies to say okay we need to compute uh computational Power caps um and and also different requirements if you exceed certain levels U including sort of a hard cap for the...”
Key Moments
Andrea Miotti: on compute governance
Andrea Miotti
“kind of things but this is the the kind of stuff that for example with you know a robust monitor regime even without on chip mechanisms is you know strongly solvable and like this it's solved by these approaches what if it turns out that using inference time compute is a really...”
Darren McKee: on compute governance
Darren McKee
“well I did a thing but I'm not really accountable like well let's think through what makes the most sense here and maybe if you are responsible for Distributing an AI model even though you didn't create it you do bear some of the liability here some of the accountability I think...”
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Lennart Heim on Compute Governance
Lennart Heim
“…of many yeah let's touch upon some potential problems with compute governance and these problems are in a sense just problems with governance in general but just if we're talking about who's doing the governance of compute U.S Labs would probably be a bit wor”
26 - AI Governance with Elizabeth Seger
Elizabeth Seger
“…ld of AI governance okay so I think like one one big one is compute governance which my colleague Leonard Heim works on so this is just thinking about how compute is a ever for trying to regulate who is able to develop large models um even like how compute sho”
Lennart Heim on Compute Governance
Lennart Heim
“into the compute air production function and out we get some AI systems which is like certain capabilities right and particularly air production function tries to think about like how much do these individual inputs matter and what can they tell us about the c”
David Dalrymple on Safeguarded, Transformative AI
David Dalrymple
“sovereignty um so trying to provide a technical option for compute governance that is actually completely privacy preserving and and and even to some extent Liberty preserving in that there should be certain kinds of computations that you can do regardless of”
Holly Elmore on Pausing AI, Hardware Overhang, Safety Research, and Protesting
Holly Elmore
“…d need to PA AI is the governance of computing resources so compute governance how how does that fit into your vision of pausing AI so compute governance is usually the example we give of how you would do it but when I as a representative of pause AI talk abou”
Tom Barnes on How to Build a Resilient World
Tom Barnes
“…his question about you know the analogies between like yeah compute governance and like the governance of like uranium for nuclear weapons I think yeah they really do offer a node of governance I think like still it's more of a theortical idea right now it's n”
David Dalrymple on Safeguarded, Transformative AI
David Dalrymple
“regressive compute so we we can sort of adjust it such that we'll get lots of false positives we'll get lots of systems that are over the limit of of concern but are actually not concerning but very few false negatives and then I think the principle should be”
Ezra Klein on existential risk from AI and what DC could do about it
Ezra Klein
“…to access the latest and most powerful AI specialised supercomputers, which are sometimes called compute governance. How does that approach that? How do you think that would come out of the messy legislative process? I'm interested in that. I don't know. I co”