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Thursday

  1. MiniMax

    MiniMax responds to H3 integration with TPU: looking forward to open-source work on efficient video inference

    MiniMax officially responded to SGLang adding MiniMax H3 to the TPU support list of SGLang-TorchTPU, and said it looks forward to more open-source work on efficient video inference. SGLang said that SGLang-TorchTPU was built jointly by SGLang, the Google TPU team, and the Meta PyTorch team, has been used for production inference at Meta, and supports models including Muse Spark Open, GLM-5.3 Flash, Kimi K3, Ling 3.1 Flash, and MiniMax H3.

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    #hot-signal#Industry news#Open-source ecosystem#English text is being prepared.
  2. Story1 reports · 1 facts

    MiniMax thanks for bringing H3 to TPU and looks forward to open-source work on efficient video inference

    MiniMax responded to SGLang including MiniMax H3 in the TPU support list of SGLang-TorchTPU, expressing thanks and saying it looks forward to more open-source work around efficient video inference. SGLang said that SGLang-TorchTPU was jointly built by SGLang, the Google TPU team, and the Meta PyTorch team, has been used for Meta's production inference, and supports models including Muse Spark Open, GLM-5.3 Flash, Kimi K3, Ling 3.1 Flash, and MiniMax H3. There are currently no facts about subsequent developments.

    MiniMax responded to SGLang including MiniMax H3 in the TPU support list of SGLang-TorchTPU, expressing thanks and saying it looks forward to more open-source work around efficient video inference. SGLang said that SGLang-TorchTPU was jointly built by SGLang, the Google TPU team, and the Meta PyTorch team, has been used for Meta's production inference, and supports models including Muse Spark Open, GLM-5.3 Flash, Kimi K3, Ling 3.1 Flash, and MiniMax H3. There are currently no facts about subsequ

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  3. FactRelated story

    MiniMax thanks for bringing H3 to TPU and looks forward to efficient video inference open-source work

    MiniMax responded to SGLang including MiniMax H3 in the TPU support list of SGLang-TorchTPU, expressing thanks and saying it looks forward to more open-source work around efficient video inference. SGLang said that SGLang-TorchTPU was jointly built by SGLang, the Google TPU team, and the Meta PyTorch team, has been used for Meta's production inference, and supports models including Muse Spark Open, GLM-5.3 Flash, Kimi K3, Ling 3.1 Flash, and MiniMax H3. There are currently no facts about subsequent developments.

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    View story:MiniMax thanks for bringing H3 to TPU and looks forward to open-source work on efficient video inference

Monday

  2. Hacker News Trending

    Nikon Microphotography Contest Winner Stripped of Award Over AI-Generated Video

    Nikon's 16th Small World in Motion microphotography competition has revoked the championship title of Dr. Ning Xu of Tsinghua University, whose work was deemed to violate the competition rules. Researchers pointed out that the cell structures in the video were abnormally sized and cilia appeared out of nowhere; Ian Donovan, a doctoral student at UT Southwestern, also found that the source image carried an AI-generation watermark. In a deleted LinkedIn post, Xu acknowledged using AI for post-processing but said AI was not used to generate the video itself; Nikon stated it will re-examine the rules and judging process for future competitions, and the championship was awarded instead to Nguyen Nam Nhat of Vietnam.

    Nikon's 16th Small World in Motion microphotography competition has revoked the championship title of Dr. Ning Xu of Tsinghua University, whose work was deemed to violate the competition rules. Researchers pointed out that the cell structures in the video were abnormally sized and cilia appeared out of nowhere; Ian Donovan, a doctoral student at UT Southwestern, also found that the source image carried an AI-generation watermark. In a deleted LinkedIn post, Xu acknowledged using AI for post-proc

    Matched fieldsTitle

    #hot-signal#English text is being prepared.#Image generation#Industry news

Tuesday

Saturday

Friday

Wednesday

Thursday

  1. WanSelected

    Wan3.0 ranks first in the new Artificial Analysis video generation benchmark

    Wan3.0 ranks first overall in the newly launched Artificial Analysis AA-Video-T2V v2.0 text-to-video benchmark, and leads in 10 of 20 category leaderboards, including cartoon and anime styles and animation and gaming use cases, with a video cost of 12 USD per minute. The benchmark is based on more than 1000 prompts and over 68000 human preference votes from private evaluators in the US and UK, and uniformly judges models at 1080p high bitrate. Wan officially thanks the team, the evaluators, and the creators who use Wan.

    Wan3.0 ranks first overall in the newly launched Artificial Analysis AA-Video-T2V v2.0 text-to-video benchmark, and leads in 10 of 20 category leaderboards, including cartoon and anime styles and animation and gaming use cases, with a video cost of 12 USD per minute. The benchmark is based on more than 1000 prompts and over 68000 human preference votes from private evaluators in the US and UK, and uniformly judges models at 1080p high bitrate. Wan officially thanks the team, the evaluators, and

    Matched fieldsTitle

    #company#Evaluations / benchmarks#Video#Image generation

Friday

Thursday

  2. FactRelated story

    English translation is being prepared.

    Nikon has determined that the winning video in the Small World In Motion microphotography competition used generative AI in its composition, violating the competition rules, and has disqualified the entry. The winner was Dr. Xu Ning of Tsinghua University in China; the video he submitted showed cilia movement in the airway of a child with PCD. He admitted to using AI but believed it complied with the rules and cooperated with the investigation. Several scientists and former judges had previously questioned the video's authenticity on LinkedIn, with Robert Hirst of the University of Leicester saying he could tell at a glance that the video was fabricated. Nikon said it will re-examine the competition's rules and procedures, and stated that the disqualification does not represent a judgment on his professional reputation, scientific contributions, or intentions.

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    View story:Nikon Disqualifies AI-Processed Video Winner

Sunday

  1. Story3 reports · 1 facts

    Nikon Disqualifies AI-Processed Video Winner

    Nikon has determined that the winning video in the Small World In Motion microphotography competition used generative AI in its composition, violating the competition rules, and has disqualified the entry. The winner was Dr. Xu Ning of Tsinghua University in China; the video he submitted showed cilia movement in the airway of a child with PCD. He admitted to using AI but believed it complied with the rules and cooperated with the investigation. Several scientists and former judges had previously questioned the video's authenticity on LinkedIn, with Robert Hirst of the University of Leicester saying he could tell at a glance that the video was fabricated. Nikon said it will re-examine the competition's rules and procedures, and stated that the disqualification does not represent a judgment on his professional reputation, scientific contributions, or intentions.

    Nikon has determined that the winning video in the Small World In Motion microphotography competition used generative AI in its composition, violating the competition rules, and has disqualified the entry. The winner was Dr. Xu Ning of Tsinghua University in China; the video he submitted showed cilia movement in the airway of a child with PCD. He admitted to using AI but believed it complied with the rules and cooperated with the investigation. Several scientists and former judges had previously

    Matched fieldsTitle