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Moonshot says it cut cyber-offensive skill in new Kimi K3.1 Pro model
Moonshot AI said Saturday it stripped cyber-related data from training of Kimi K3.1 Pro, an open-weight model whose weights it plans to publish by Nov. 4, Rappler reported.
Beijing-based Moonshot AI said Saturday it reduced the cyber-offensive capabilities of its newest model, Kimi K3.1 Pro, as concern grows that more autonomous AI systems could make hacking easier, Rappler reported1.
The company described K3.1 Pro as its most capable 3-trillion-parameter-class open-weight model and said it plans to publish the weights, which would let outside developers run and modify it, by Nov. 41.
Moonshot said it removed cyber-related data from the training corpus and reinforcement-learning environments used to build the model while keeping general coding skills1.
"We aim not to release open weights that would extend the absolute frontier of cyber capability," the company said, according to Rappler1.
Rappler said governments, technology companies and researchers worry that models that write code, use software tools and complete multi-step tasks could help find software weaknesses and automate parts of attacks1.
China last week proposed export controls that would ban exports of AI-driven malware-generation and mutation technology and restrict AI-assisted vulnerability-discovery tools, citing risks to critical infrastructure, defense-industrial and government systems, Rappler reported; the draft remains open for comment1.
Moonshot argued that open-weight models can help more organizations inspect and secure their own software, including older systems, while Rappler noted that once weights are widely distributed, the original developer has less ability to restrict access or update safeguards than with a hosted service1.
On an internal cyber benchmark that involved finding and exploiting software vulnerabilities in a controlled setting, K3.1 Pro scored 81.0%, compared with 90.5% for a similar version without the risk-reduction steps, the company said; it still outperformed its predecessor, Rappler reported, and the results have not been independently verified1.
K3.1 Pro has a 1-million-token context window, and Moonshot also released K3.1 Pro Highspeed, which it said runs two to three times as fast as the standard model1.