Chinese AI labs fear US winning recursive self-improve as distillation gets harder
McDonaghMatthew · x · 2026-11-03
After talking to researchers at four Chinese AI labs, Matt McDonagh reports:
- Chinese labs worry US frontier labs will hit recursive self-improvement (RSI) first, opening an irreversible gap.
- Data remains the key: distillation has gotten harder, so labs are pivoting to synthetic and expert data to feed next-gen models.
- Core argument: if the best models produce better training data, and better data builds better models, today's intelligence edge becomes tomorrow's development advantage—"being behind starts charging interest."
- He argues the familiar "is China 6 or 12 months behind" debate breaks down: time-gap framing assumes both sides move along the same path, which fails when the leader's position accelerates the leader.
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