In an op-ed against the 10-year moratorium on state regulation of AI, Dario said that state laws, just like federal regulation, should be "narrowly focused on transparency and not overly prescriptive or burdensome", which excludes requiring audits that they explicitly said should be in place in a Senate testimony, excludes mandating that firms even abide by their RSPs, and even excludes a version of SB-1047 with all of Anthropic's amendments that Anthropic claimed it would've supported.
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I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
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The new survey stands out because prior ones forced a tradeoff. Some covered wide areas but blurred the small structures that matter most. Others zoomed in on a handful of clouds but lost sight of how those clouds connect to the bigger picture.
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