<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Daily AI Brief</title><description>Short, sourced daily briefings on the AI stories everyone is talking about, from new models to the chips that power them.</description><link>https://dailyaibrief.xyz/</link><item><title>Meta Muse Spark Open: 816B Open-Weight Model Runs on Mac Studio</title><link>https://dailyaibrief.xyz/posts/meta-muse-spark-open-open-weight-model-mac-studio/</link><guid isPermaLink="true">https://dailyaibrief.xyz/posts/meta-muse-spark-open-open-weight-model-mac-studio/</guid><description>Meta released Muse Spark Open, an 816B-parameter open-weight multimodal MoE model that runs locally on two M5 Ultra Mac Studios via Apple MLX.</description><pubDate>Fri, 16 Oct 2026 00:00:00 GMT</pubDate><category>Muse Spark Open</category><category>Meta open-weight model</category><category>Apple MLX</category><category>mixture of experts</category><category>local AI</category><category>Mac Studio M5 Ultra</category></item><item><title>StepFun Step 5 Preview Open Weights: 600B MoE for Agentic AI</title><link>https://dailyaibrief.xyz/posts/stepfun-step-5-preview-open-weights-600b-moe/</link><guid isPermaLink="true">https://dailyaibrief.xyz/posts/stepfun-step-5-preview-open-weights-600b-moe/</guid><description>StepFun released open weights for Step 5 Preview, a 600B-parameter sparse MoE model with 27B active parameters and a 1M-token context window.</description><pubDate>Fri, 16 Oct 2026 00:00:00 GMT</pubDate><category>Step 5 Preview open weights</category><category>StepFun</category><category>open-weight MoE model</category><category>Chinese open models</category><category>agentic coding</category><category>NVFP4</category></item><item><title>NVIDIA Nemotron 3.5 Super VL and Bolt: Open Models for AI Agents</title><link>https://dailyaibrief.xyz/posts/nvidia-nemotron-3-5-super-vl-bolt-open-models/</link><guid isPermaLink="true">https://dailyaibrief.xyz/posts/nvidia-nemotron-3-5-super-vl-bolt-open-models/</guid><description>NVIDIA launched Nemotron 3.5 Super VL, a 120B open multimodal MoE, plus Bolt 74B-A9B, which fits in 24GB for local agents on RTX and DGX Spark.</description><pubDate>Fri, 16 Oct 2026 00:00:00 GMT</pubDate><category>Nemotron 3.5 Super VL</category><category>NVIDIA open models</category><category>Nemotron 3.5 Bolt</category><category>local AI agents</category><category>RTX Spark</category><category>post-training datasets</category></item><item><title>Microsoft MAI-Base-2: 2.8T-Parameter Model Trained on 16K GB200s</title><link>https://dailyaibrief.xyz/posts/microsoft-mai-base-2-2-8-trillion-parameter-pretraining/</link><guid isPermaLink="true">https://dailyaibrief.xyz/posts/microsoft-mai-base-2-2-8-trillion-parameter-pretraining/</guid><description>Microsoft AI finished pre-training MAI-Base-2, a 2.8T-parameter MoE trained on 16,000 NVIDIA GB200 GPUs in 38 days. Post-training is underway.</description><pubDate>Fri, 16 Oct 2026 00:00:00 GMT</pubDate><category>MAI-Base-2</category><category>Microsoft AI</category><category>GB200 training cluster</category><category>AI pre-training</category><category>mixture of experts</category><category>Mustafa Suleyman</category></item><item><title>Datadog Scout 1.0: RL Post-Training Delivers a Cheaper AI SRE Model</title><link>https://dailyaibrief.xyz/posts/datadog-scout-1-0-rl-post-training-ai-sre/</link><guid isPermaLink="true">https://dailyaibrief.xyz/posts/datadog-scout-1-0-rl-post-training-ai-sre/</guid><description>Datadog&apos;s Scout 1.0 post-trains GLM-5.3 Flash with reinforcement learning for incident investigation, matching frontier models at 3-8x lower cost.</description><pubDate>Fri, 16 Oct 2026 00:00:00 GMT</pubDate><category>Datadog Scout 1.0</category><category>reinforcement learning post-training</category><category>AI SRE</category><category>GLM-5.3 Flash</category><category>Bits AI</category><category>specialized models</category></item></channel></rss>