Developer Tests Local DeepSeek with Overnight Self-Play Training
tokenbender · x · 2026-08-03
A developer shared an experiment running the new DeepSeek model locally. During the day, the model handles everyday tasks while recording interaction rollouts. At night, using principles of Constitutional AI, the model reviews the day's data, assigns rewards, and performs weight updates while the user sleeps.
This mechanism effectively creates a closed-loop continuous learning and self-alignment process locally, loading the updated checkpoint the next morning.
Related event: Developer Tests Nightly Self-Improvement for Local DeepSeek(3 posts)→
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