
Components of a Frontier AI Slowdown
Slowdowns specify aims, what is to be slowed, and a structure.
Thoughts on AI policy
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Slowdowns specify aims, what is to be slowed, and a structure.

AI systems deployed within AI companies should be given whistleblowing channels and be trained to use them.

Being good at tasks is not the same as being good at learning tasks.

Automation of AI R&D could be a big deal. We should track its broader consequences.

Developers are increasingly publishing model specs. Developers should also describe their processes for ensuring that models adhere to their specs, and report on the degree of adherence.

The limited empirical data suggests that content labeling could help somewhat, but would leave potentially tens of billions in losses unaddressed.

Formal verification could help to secure critical software, but it faces a number of practical barriers. More advanced AI could help lift many, but not all, of them.