LocalHostTech
31 posts


Releasing the model weights and technical report of Kimi K3. Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window. New model architecture: 2.5x the intelligence per unit of compute, not just more params. Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale. Model weights: huggingface.co/moonshotai/Kim… Tech report: github.com/MoonshotAI/Kim… Tech blog: kimi.com/blog/kimi-k3

prompt engineering → context engineering → harness engineering → loop engineering → graph engineering? You don't need to learn any of these. you need to run /better-harness once and fix what it finds Better Harness shipped in Qoder Desktop v1.18.0 Upgrade to the latest and have a try.





Open-weight models are essential to a healthy AI ecosystem. Together with others across our industry, we are outlining a path for open-weight models to strengthen American competitiveness and expand economic opportunity, while protecting national security. microsoft.com/en-us/corporat…




codex should give one month free when you send them your claude cancelation screenshot












