Kimi K3 report uses a recursively generated knowledge graph for post-training tasks
Justin_Halford_ · x · 2026-07-27
- A discussed detail from the Kimi K3 report is the use of a recursively generated knowledge graph to improve post-training task synthesis.
- The idea is that the raw web corpus and verified RL traces may not be the best signal presentation for training.
- The author suggests that building a self-expanding graph of concepts could surface better, more diverse post-training material.
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