
Own Your Compute
40.5K posts

Own Your Compute
@MoonlitMaven
Follow my journey to learn how to secure your own local compute and achieve intelligence freedom.



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

@IntCyberDigest Grapehene OS needs to redesign this wipe feature. Don’t make it show any indication it is wiped. It should wipe silently after a wipe code is entered. The attacker won’t know it is wiped.



If that OAI model that hacked HF were open weight, anyone with a few chips could run it safeguard free! If OAI fixes the alignment, anyone with a few more chips could tune the alignment out! Yes, anyone can identify vulnerabilities! And if a16z commits to patching every hospital






AI security advances when the industry builds in the open, together. We're introducing the Open Secure AI Alliance with industry leaders to develop new techniques and tools to safeguard software and agents. By sharing models, tooling and research in the open, we can broaden the community of defenders. Learn more about the founding members’ contributions: nvda.ws/4pD8Fc5






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







hold my beer. dropping a GLM-5.2 opt today that pushes single stream to 80-90 tok/s.

The crusade against the House of Anthropic continues to build. It is increasingly framed as Anthropic standing alone against the entire industry.






