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Mistral releases improved Mistral Large 4 open weights for coding and cybersecurity

Mistral AI released open weights for an improved Mistral Large 4 (Le Chonk), its 1-trillion-parameter multimodal model previewed earlier this month. Mistral reports a 48% Artificial Analysis Coding Agent Index score with 47% fewer tokens per task than GLM-5.3, alongside three reasoning modes. The Mistral Ecosystem Open-Weight license permits use, modification, fine-tuning, and commercialization, but businesses operating Model-as-a-Service offerings must obtain a separate commercial license before commercial use.

1. 01 · Hugging Face Blog

   Mistral Large 4 arrives on Hugging Face with multimodal capabilities and open weights

   Mistral Large 4, also called Le Chonk, is a multilingual MoE model that accepts text and images and generates text, with about 1T total parameters and a 1M-token context window. Hugging Face details its FP8 and NVFP4 variants, cybersecurity benchmarks, and launch-day inference and fine-tuning support. The weights use the Mistral Ecosystem Open-Weight License, which limits model-as-a-service offerings.

2. 02 · 宝玉 · X

   How Claude’s self-assessment flags potential misuse after responses

   Baoyu explains Anthropic’s self-assessment system, which has Claude assess conversations for potential misuse after responding. Anthropic says it adds less than 2% in inference compute, incurs no customer charges, and collects no additional user data; traffic under zero data retention agreements is currently excluded. In sampled Fable 5 traffic, it detected 78% of conversations flagged by a separate evaluator at a 1% false-positive rate. Flags support subsequent review rather than immediate blocking, and an individual flag does not directly trigger account suspension.

3. 03 · Epoch AI · X

   Epoch AI finds GLM 5.3 can autonomously exploit Firefox’s patch gap

   Epoch AI reports that GLM 5.3 autonomously built successful exploits for six recent Firefox versions using public security fixes not yet shipped to users, costing about $1,000 per compromised version. The exploits could steal browser passwords and authentication cookies or read local files after a user opened one webpage. Every successful attack also used a previously unpublished vulnerability that Mozilla patched in its October 27 Firefox 159.0 release; Epoch AI has not confirmed whether the attacks still succeed without it.