Researcher’s claim that neural networks may be easier to understand shakes the AI field
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Goodfire researcher Nick Cammarata argues in a viral 26,000-word post that large language models may be easier to understand, monitor and control than assumed. The claim has encouraged AI safety researchers, but Stanford’s Chris Potts says it remains little more than a hunch.
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