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1/ RLHF practitioners are wasting budget. If you treat dynamics and rewards as a monolithic world model, your data allocation is wrong. Reward models learn ~9x faster than dynamics simulators.
Ranked #44 on backlist 2026-05-17 (17 May 2026 UTC) · by (Grigory Sapunov) ·

How it ranks: Backlist reads my Twitter/X timeline, scores every tweet for substance with an LLM rubric (not engagement), and publishes the daily top picks with a one-line takeaway. Curated by Surya Dantuluri.