Superintelligence Czars, AI Retries, and Space Cylinders
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Can a messy, untrained AI outperform a polished one if you just give it enough tries?
This week, Sara and Becca dig into new research suggesting that base models can beat their reinforcement-learning-trained versions on agent tests when they're allowed to retry. Becca brings an analogy about two lockpickers, a wild creative and a highly trained PhD who knows exactly one way to open a lock, and it turns out the PhD isn't always who you want on the job.
Also: the White House has a new "superintelligence" effort led by Jay Clayton, and Sara makes…
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