Moonshot curbs hacking ability in new Kimi model as fears grow over AI-powered cyberattacks

The company plans to publish the model's ​weights — files allowing outside developers to run and modify it on their own systems — by ​November 4.Moonshot said it removed cyber-related data from the training corpus and reinforcement-learning environments ⁠used to develop the model, while retaining general coding skills."We aim not to release open weights ​that would extend the absolute frontier of cyber capability," the company said.Governments, technology companies and security….

Models that can write code, operate software tools and complete long, multi-step tasks may help users identify weaknesses in programs and automate parts of cyberattacks.China proposed ​export controls last week that would ban exports of AI-driven malware-generation and mutation technology and restrict AI-assisted ​vulnerability-discovery tools.

The draft measures, which remain open for public comment, cite the risk that such capabilities could be ‌used ⁠against critical infrastructure, defence-industrial and core government systems, or to bypass security protections.Moonshot said open-weight models can improve security by helping more organisations inspect and secure their own software, including older systems that receive little attention.Unlike proprietary, closed-weight AI systems, however, open-weight releases make central oversight more difficult.

Once the files ​are widely distributed, the ​original developer has less ⁠ability to restrict access, monitor use or update safeguards than with a hosted service.K3.1 Pro scored 81.0% on its internal cyber benchmark, compared with 90.5% ​for a similar version without the risk-reduction measures, the company said.

The ​test involved finding ⁠and exploiting software vulnerabilities in a controlled environment.

Moonshot said the comparison showed that filtering cyber-related data reduced the model's offensive cyber performance, although it still outperformed its predecessor.

The results have not been independently verified.K3.1 ⁠Pro has ​a 1-million-token context window, allowing it to process very large ​amounts of text at once.

Moonshot also released a faster version, K3.1 Pro Highspeed, which it said runs at two to ​three times the speed of the standard model.

Moonshot curbs hacking ability in new Kimi model as fears grow over AI-powered cyberattacks Reuters | Updated 14 seconds ago | It removed cyber-related data from training, while retaining general coding skills in its AI model.