3. Interviews and surveys with staff are consistent with AI usage driving current acceleration, though this evidence is very hard to interpret. Staff self-report dramatic productivity gains, but say the most important AI R&D contributions aren’t yet fully automated.
METR says staff surveys are consistent with AI driving current acceleration
AIMETR says interviews and surveys with its staff are consistent with AI usage driving current acceleration, though it calls this evidence very hard to interpret. Staff self-report dramatic productivity gains, but say the most important AI R&D contributions are not yet fully automated.
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Original title: 3. Interviews and surveys with staff are consistent with AI usage driving current acceleration, though this evidence is very hard to inte...