SecondSourceJudgment rebuilt from primary sources
Research · Jul 20, 2026

Gwern: agents are unreliable because agency was never a training target.

Research notes · Retrospective (November 2024 interview)

From the Jul 20, 2026 daily brief

Gwern, the anonymous independent researcher known for his early systematic case for the scaling hypothesis in 2020, diagnosed it this way: web corpora contain only descriptions of agent behavior, never the step-by-step decision traces — in his words, "All the agency there is is an accidental byproduct of somebody training on data" (Dwarkesh Podcast × Gwern, Nov 2024). That still has explanatory power for the 2026 reality of agents that demo brilliantly and wobble in production. It also echoes today's lead 4: the product form is evolving; the root problem of reliability is a separate thread. Time boundary: industry investment in reinforcement learning for agents has risen sharply across 2025–26; this is a diagnosis from a 2024 vantage point.

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