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Found 9 items · updated 01:10
Oct 29Thu
  1. Hugging Face Blog85

    Mistral Large 4 (Le Chonk) released on Hugging Face

    Mistral releases multimodal MoE model Mistral Large 4 (Le Chonk), with approximately 1T total parameters, 49B activation parameters, a context window of 1M tokens, offering two official versions FP8 and NVFP4, as well as GGUF made by Unsloth and llama.cpp teams.

    Same story · 3 outlets

    Why it matters: The original text provides specific scores for the 1T total parameter, 49B activation multimodal MoE model on cybersecurity and coding benchmarks, along with measured throughput for local and endpoint deployment.

Oct 6Tue
Oct 29Thu
  1. vLLM Blog78

    vLLM supported Mistral Large 4 on the first day

    vLLM announced support for Mistral Large 4 on the release day, which is a 1 trillion parameter, 49B token-activated MoE native multimodal model, using MLA with DSA sparse indexer, and built-in DSpark speculative decoding draft model.

    Same story · 3 outlets
Nov 5Thu
  1. Latent Space60

    Latent Space reports on the latest trends in the AI field and in-depth interviews

    Latent Space reports on the latest trends in the AI field, including cutting-edge large model direct weight editing technology (such as GPT-6 Astra editing Qwen3.5-0.8B weights to increase MATH-500 from 7.9% to 48.1%), as well as the latest evaluation results of Tencent Hy4 achieving 75.2 points on APEX-Agents and Kimi K3.1 Pro ranking 14th in Agent Arena.

    Same story · 4 outlets
Nov 3Tue
Oct 30Fri
  1. Latent Space65

    AIE CODE 2026 Highlights: Three Themes Focus on AI Programming Agent Development

    AIE CODE 2026 will explore three themes: redundant-free expansion, system-one model, and raising ambition, focusing on AI programming agent development, attracting 1000 top smart agent engineers globally. The conference will showcase the practical application of the System One model and focus on software rewrite cases from browser to Adobe Photoshop Suite.

Oct 7Wed
  1. Latent Space

    OpenAI releases 722 mathematical papers solving 90 top mathematical problems

    OpenAI releases 722 mathematical papers, claiming to solve 90 top mathematical problems, with the result of the Quasi-Riemann Hypothesis praised as 'the most important moment in the history of mathematics'; these achievements come from internal models, with an average of about 3 hours of ChatGPT Pro computing power used per result, and the model itself is not open-sourced.