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Dwarkesh Patel: 'The Next Paradigm' Is AIs Learning On the Job — RLVR Across Thousands of Environments as the AGI Bet
Published June 26, Dwarkesh's episode lays out the central research bet of the frontier labs: if you train models on millions of verifiable tasks across thousands of diverse RL environments, you approximate AGI. It probes the open cracks — whether RLVR alone generalizes, the unsolved problem of getting on-the-job learning back into the weights ('dreaming'), grindability vs. verifiability, and what 2027 looks like. Strategic listening for builders deciding how much to bet on agentic RL pipelines vs. in-context learning.
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