
A closely-argued read on scaling, RL progress and intelligence-explosion timelines from one of the best interviewers in AI.
“Models keep getting more impressive at the rate the short timelines people predict, but more useful at the rate the long timelines people predict.”
Dwarkesh Patel
“Human workers are valuable precisely because we don’t need to build schleppy training loops for every small part of their job.”
Dwarkesh Patel
“We’re losing money on every sale, but we’ll make it up in volume.”
Dwarkesh Patel
“we need something like a 1,000,000x scale-up of total RL compute to give a boost similar to a GPT level”
Toby Ord
“If these models were actually like humans on a server, they’d diffuse incredibly quickly.”
Dwarkesh Patel
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