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Vivix announces it will launch real-time interactive models W1 and A1 in July

1 reports1 story updatesUpdated Oct 26 08:54

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Vivix founder Liu Yu publicly explained for the first time that the company's direction is next-generation real-time interactive models rather than video generation tools, and announced that in July it will release the foundation model W1, which integrates understanding, interaction, and generation, and A1, which is aimed at character interaction. According to his introduction, W1's real-time generation cost is already close to YouTube's CDN bandwidth cost of about $0.2 per hour, the first-frame generation time is about 300 to 600 milliseconds, and the full-chain first response time is about 1 second. Liu Yu said that over 19 months the company redid data collection, the data pipeline, and infra, has finely filtered tens of millions of hours of multimodal data, and plans to complete training of W2, with a data volume two orders of magnitude higher, in Q4. There is currently no information on progress after the release.

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Vivix Founder Liu Yu Discusses Real-Time Interactive Models: W1 and A1 to Be Released in July

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  1. Vivix announces that real-time interactive models W1 and A1 will be launched in July

    Source:36Kr · AI

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Oct 26

  1. 36Kr · AI

    Vivix Founder Liu Yu Discusses Real-Time Interactive Models: W1 and A1 to Be Released in July

    Vivix founder Liu Yu publicly explained for the first time that the company's direction is next-generation real-time interactive models, rather than video generation tools. In July, it will release W1, a foundation model integrating understanding, interaction, and generation, and A1, aimed at character interaction. W1's real-time generation cost is already close to YouTube's CDN bandwidth cost of about $0.2 per hour, with first-frame generation time of about 300 to 600 milliseconds and end-to-end first response time of about 1 second. Liu Yu said that over 19 months the company rebuilt its data collection, data pipeline, and infra, has finely curated tens of millions of hours of multimodal data, and plans to complete training of W2, with two orders of magnitude more data, in Q4.

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