💥Kimi is SO BACK!! and - 3.1 is a strong reminder that the interesting scaling story in 2026 is no longer just pre-training FLOPs. This is the same 2.8T / 104B-active MoE as K3 (896 routed experts, 16 active + 2 shared, 69 KDA + 24 Gated MLA layers, AttnRes, Stable LatentMoE, native MXFP4), but the gains come from substantially larger post-training compute and large-scale joint RL across hundreds of domains. The result is a model that can write/iteratively debug its own Blender/CAD scripts, assemble full game projects in Unreal/Unity/Godot, and produce linked financial models with meaningfully lower hallucination rates. On Terminal-Bench 4.0 it sits at 65.7% (between GPT-6 Astra & Opus 5.5), & it leads several long-horizon agent + coding metrics. 🚀 The open-weight date (Nov 4) is welcome, but the practical constraint is still the same: even with extreme sparsity + MXFP4, this is a supernode-class model. The real test will be how well the post-training stack transfers when the community starts fine-tuning and running it under its own constraints. All amazing stuff 🚀