Kimi K3 Tech Report: Decoupling Capability Discovery and Fusion in Post-Training
novasarc01 · x · 2026-07-28
This thread summarizes the RL and post-training details from the Kimi K3 tech report. K3's post-training approach decouples capability discovery from capability fusion. Instead of requiring a single policy to master all behaviors under one blended RL objective, they first develop a high-quality SFT cold-start, train single-task RL experts on diverse behaviors, and finally unify the behaviors in one model through multi-teacher distillation.
Related event: Kimi K3 Report: Trillion-Parameter MoE and Post-Training Innovations(2 posts)→
More from Models
- Kimi K3’s MoE routing may be driving higher expert-parallel communication costs — stochasticchasm · 2026-07-28
- Kimi K3 finds 16 new vulnerabilities and beats GLM-5.2 on an exploit benchmark — zephyr_z9 · 2026-07-28
- Kimi K3 weight shard appears as `model-00001-of-000096.safetensors` — ricklamers · 2026-07-28
- Microsoft launches MAI-Cyber-1-Flash and MDASH, claiming top CyberGym results at half the cost — satyanadella · 2026-07-28
- Claude Opus 5’s migration guide quietly changes years of prompting advice — AlexKim · 2026-07-28
- Post says an attention-heavy model has 104B active parameters — zephyr_z9 · 2026-07-28