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Why I don’t think AGI is right around the corner

Dwarkesh

A July 2025 analysis challenges industry forecasts by arguing that current large language models cannot replace white-collar workers due to a fundamental lack of continual learning and context accumulation. While dismissing the immediate arrival of autonomous computer agents, the speaker projects that end-to-end tax filing capabilities will emerge by 2028 and human-level on-the-job learning will arrive around 2032, contingent on shifting from data scaling to algorithmic breakthroughs. The presentation frames these timelines as probabilistic bets, warning that post-2030 progress will rely on overcoming physical constraints to enable a gradual intelligence explosion rather than an immediate singularity.