#开源生态

The Open Secure AI Alliance is growing, with more organizations contributing expertise to help safeguard software and agents. http://nvda.ws/4pD8Fc5

http://x.com/i/article/2080709446603575296

I do not agree with this. Thanks to the other employees who joined me in trying to push open-weight.

.@amazon has believed in giving customers choice across AI models for years. We have always supported open-weight models on Amazon Bedrock, starting back in 2023, and will continue to advocate for open ecosystems. No single model will define AI leadership. Customers need access to the most capable frontier models, alongside open-weight models they can adapt, optimize, and deploy for their own workloads. Open and closed models are complementary. Together, they expand access to AI, accelerate innovation, strengthen competition, and give organizations greater control over the technology they build. Successful leadership in AI will not be built around a single model or a single approach. It will be built on broad choice and the infrastructure to run those models securely, reliably, and at scale. While there are elements of the Open Weights and American AI Leadership letter that need further definition over time, we’re supportive of the macro direction and have signed it.

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: https://nvda.ws/4pD8Fc5

Attackers have frontier AI. Defenders need a frontier AI ecosystem—the best open and closed models, force-multiplied by a global community. During the Hugging Face incident, closed AI blocked essential forensics. An open-weight frontier model helped contain the intrusion. That’s why we created the Open Secure AI Alliance.

In Frontend Code Arena, Kimi K3 (Max) by @Kimi_Moonshot is ranked #1 among open and #1 overall! It’s the #1 open-weight model in all Domains: Brand & Marketing, Reference-Based Design, Data & Analytics, Consumer Product, Gaming, Simulations, and Content Creation Tools. And for overall, #1 in 5 of 7 Domains, landing #2 only in Gaming and Content Creation Tools.

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: http://huggingface.co/moonshotai/Kimi-K3 Tech report: http://github.com/MoonshotAI/Kimi-K3/blob/master/k3_tech_report.pdf Tech blog: http://kimi.com/blog/kimi-k3

Over the weekend Bolt signed the Open Weights and American AI Leadership letter. For years we've put real money behind OSS: funding the projects the web runs on, joining the OSS Pledge, open sourcing @boltdotnew & more. Open weights are the logical next chapter of that same story. http://aka.ms/OpenLetter

Kimi K3 is live on Modal. Moonshot has shipped the world's first open 3T-class model, and we're a day zero launch partner. We trained a custom DFlash speculator for K3's novel architecture so you can run it faster, losslessly. The most capable open model we've worked with by far.

Kimi K3 is live on Fireworks. Day 0, inference and training. US-hosted, and zero data retention. This is the first frontier open model in the 3 trillion parameter class. It sports 1M context, native vision, and reasoning that rivals the top closed models. Boom.