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  8. Latent SpaceSelected

    Meta MSL releases Muse Wonder and Muse Wonder Full models

    Meta Superintelligence Labs releases its second-generation model family Muse Wonder and Muse Wonder Full; the former is positioned as a fast frontier model, the latter as the full version, and Meta says they target personal and professional agent work. On Artificial Analysis's Intelligence Index v4.3, Wonder Full scores 56 and Wonder scores 52, higher than Muse Spark 1.3's 48, while Opus 5.5 leads with 58. Specifications are 1M context, input supports text, images, video and audio, output is text only, and pricing is 4 USD per million tokens for input, 0.20 USD for cached input, and 20 USD for output.

    Meta Superintelligence Labs releases its second-generation model family Muse Wonder and Muse Wonder Full; the former is positioned as a fast frontier model, the latter as the full version, and Meta says they target personal and professional agent work. On Artificial Analysis's Intelligence Index v4.3, Wonder Full scores 56 and Wonder scores 52, higher than Muse Spark 1.3's 48, while Opus 5.5 leads with 58. Specifications are 1M context, input supports text, images, video and audio, output is tex

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    #newsletter#Model releases#Agents#English text is being prepared.
  9. Huxiu

    Carnegie Report: China Overtakes the US for the First Time as the Top Destination for Leading AI Talent, but Talent Still Nets Outflow

    A global AI talent report released by Carnegie China on September 23 shows that in 2025, 41% of the world's top AI researchers work in China and 34% in the US, compared with 27% versus 46% three years ago. Tracking the résumés of 10,280 authors from NeurIPS 2025, the report notes a net outflow of 1,729 people from China and a net inflow of 2,145 into the US; 98% of top researchers working in China did their undergraduate studies in China, versus only about 30% in the US. Among institutions, Peking University rose to first place, with Tsinghua second and Shanghai Jiao Tong University fourth. The report also acknowledges that its sample skews toward academia and underestimates industry.

    A global AI talent report released by Carnegie China on September 23 shows that in 2025, 41% of the world's top AI researchers work in China and 34% in the US, compared with 27% versus 46% three years ago. Tracking the résumés of 10,280 authors from NeurIPS 2025, the report notes a net outflow of 1,729 people from China and a net inflow of 2,145 into the US; 98% of top researchers working in China did their undergraduate studies in China, versus only about 30% in the US. Among institutions, Peki

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    #hot-signal#Industry news#English text is being prepared.#Papers/Research

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