Researcher explains why AI accelerates faster on verifiable tasks than soft ones

David Manheim argues that AI progress is uneven across task types: verifiable tasks like math generalize much faster than 'soft' tasks such as writing style, which are held back by sparse and delayed rewards.

2026-11-11 ~ 2026-11-11 · 2 related posts

• David Manheim: verifiable tasks scale fast, but 'squishy' real-world tasks hit sparse-reward limits — davidmanheim · 2026-11-11
• Researcher Argues AI Accelerates Faster on Verifiable Tasks; "Squishy" Tasks Face Delayed-Reward Trap — davidmanheim · 2026-11-11