Developer Auto-Iterates Local DeepSeek Model with Daily Rollouts and Weight Updates
cephaloform · x · 2026-08-03
A developer shared a highly sci-fi-like practice for using local LLMs: during the day, the DeepSeek model acts as an everyday assistant, handling tasks and logging interactions. At night, it leverages AI constitutions to review the day's rollouts, automatically assigning rewards and executing weight updates. The newly updated checkpoint is loaded the next morning, enabling continuous learning and self-evolution aligned with human routines.
Related event: Developer Tests Nightly Self-Improvement for Local DeepSeek(3 posts)→
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