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2026-10-13

Content is auto-organized by AI from public feeds for reference only. Verify important facts at the original source.

Today's attention is split between new model releases and infrastructure. Meta introduced two Muse Wonder models, while Microsoft unveiled its in-house Maia 300 with data center deployment planned from 2027. DeepSeek is reportedly set to lead a funding round for a robotics lab founded by a former Tencent AI scientist, signaling more capital moving toward embodied AI. On the regulatory side, NHTSA opened a defect review into Tesla Robotaxi speeding in school zones, and the UK plans to restore pre-release evaluations of leading models.

2026-10-13 AI briefing

  1. NO.01NewSurge669↑ 780%

    Meta launches Muse Wonder and Muse Wonder Full models

    Meta launched two new models, Muse Wonder and Muse Wonder Full, claiming state-of-the-art results on personal and professional agent tasks and performance on par with the strongest available models. Muse Wonder is available now to Muse Code subscribers and through the Meta Model API, while Muse Wonder Full runs at maximum reasoning effort and stays subscriber-only. Meta says Wonder will later power its Muse Agent, without giving a timeline.

    WTNTBX+17 sources·7 reports
  2. NO.02New555New

    Microsoft Unveils Maia 300, Deploying in Data Centers From 2027

    Microsoft has unveiled Maia 300, its third-generation in-house AI chip, built on TSMC's N2P process with a multi-die design, 288GB of HBM4 memory, 18TB/s bandwidth, 13.8 PFLOPS of FP4 compute and 950W SoC power. Deployment into production is planned from 2027, with racks holding up to 96 accelerators and clusters scaling to 12,000 chips. Microsoft says Maia 300 handles 40% more tokens per megawatt than leading GPU systems and delivers up to 7x the rack throughput of Maia 200, while it will keep buying Nvidia and AMD GPUs and has no plans to rent out Maia capacity.

    CTIC华+16 sources·7 reports
  3. NO.03New533New

    DeepSeek reportedly to lead funding in robotics startup founded by ex-Tencent scientist

    DeepSeek is reportedly planning to lead a $400 million valuation funding round in a robotics large model startup founded by a former Tencent AI scientist, expanding its footprint into embodied AI.

    华T3CTB6 sources·6 reports
  4. NO.04New191New

    NHTSA opens defect review into Tesla Robotaxi school-zone speeding

    NHTSA has opened a defect review in response to a petition alleging that some 2026 Tesla Model Y Robotaxi and Cybercab vehicles sped in school zones while autonomy was active. The petitioner provided three videos; the agency will assess whether to open a formal investigation. No crashes or injuries are documented, and about 1,000 vehicles may be affected.

    TB2 sources·2 reports
  5. NO.05Surge181↑ 118%

    UK to restore pre-release evaluations for leading AI models

    According to Bloomberg Technology, the UK is restoring its authority to evaluate leading AI models prior to release, reversing previous policies that required White House priority approval. This adjustment changes the compliance path for cutting-edge AI model regulation in the UK.

    TB2 sources·2 reports
  6. NO.06New98New

    US nuclear power industry accelerates AI assistant adoption across 94 reactors

    The US nuclear power industry is accelerating the adoption of next-generation AI assistants into daily workflows to retrieve technical documents, process regulatory filings, analyze equipment fault records, and find solutions from decades of operating experience. The push covers 94 reactors and is driven by staffing shortages and maintenance challenges.

    C1 source·1 report
  7. NO.07New98New

    Jensen Huang says Chinese models like DeepSeek, Kimi and GLM are good enough

    Speaking at a DBS forum, Nvidia CEO Jensen Huang said Chinese AI models such as DeepSeek, Kimi and GLM are already good enough. He described himself as a firm supporter of open source, calling it the best way to drive efficiency gains, and said the market will decide which models best fit different use cases.

    C1 source·1 report
  8. NO.08New97New

    Microsoft proposes Fork-and-Flush to boost agent performance by up to 66%

    Microsoft researchers found that autonomous AI agents can get stuck in "idea basins" as growing chat context traps them in local solutions. Their proposed Fork-and-Flush method clears chat history while preserving the workspace, yielding up to 66% improvement under the same compute budget.

    T1 source·1 report
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