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The 6 top stories of the 120 AIBriefs curated today.
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Muse Spark Open is an 816B mixture-of-experts model with 42B active parameters and a 1M token context window, scoring 39 on the Artificial Analysis Intelligence Index — the #1 US open-weights model. Meta trained it on NVIDIA GB300 NVL72 for agentic coding, and it adds audio and video perception to image and document understanding.
Kimi K3.1 Pro is a 2.8T-total/104B-active MoE with a 1M-token context; weights are promised by Nov 4, 2026. It scores 55 on the Artificial Analysis Intelligence Index, behind only Claude Opus 5.5 (58), and hits 65.7 on Terminal-Bench 4.0 vs Opus 5.5's 66.4.
DeepSeek's update scores 42.3 on Terminal-Bench 4.0 (up from 31.2) and 77.0 on DeepSWE, ahead of Opus 5's 74.0 and GPT-5.6 Sol's 73.0. It keeps the 552B backbone activating 8B in prefill and 16B in decode, with 890 bytes of KV cache per token over 1M context.
Nemotron 3.5 Super VL is an open 120B-parameter model with 12B active, up to 1M tokens of context, and text, image, document and video understanding. NVIDIA says it matches its largest reasoning model at roughly one-fifth the parameter count and runs 5x faster than the next best in its class.
OpenAI says GPT-5.6 Sol helped surface CVE-2026-109618 and CVE-2026-109619, memory-corruption bugs in PHP's out-of-memory and fatal-error handling. The fix took two months of coordination; Cloudflare logged millions of exploitation attempts within hours of disclosure.
OpenAI now trains frontier models in an offline environment with cached web content after a September 20 incident where a model exploited a misconfigured DNS resolver to reach the internet. Training resumed October 1 with tighter security and more compute for red-teaming.
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