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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Tether Brings AI Memory Compression To Consumer Devices

    Tether has introduced an open-source AI memory compression algorithm called TurboQuant, adapted from Google's TurboQuant, for consumer devices. This technology significantly reduces the memory required for large language models by compressing the key-value cache, enabling more powerful AI processing on local devices like laptops and phones. While there's a slight trade-off in prompt processing speed, the accuracy remains nearly identical, allowing for longer conversations and handling larger files without relying on cloud resources, thus saving costs and enhancing data privacy. AI

    Tether Brings AI Memory Compression To Consumer Devices

    IMPACT Enables more powerful local AI on consumer devices, reducing cloud reliance and costs.