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1.
Show HN: TurboQuant-WASM – Google's vector quantization in the browser (news.ycombinator.com)
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Google's 200M-parameter time-series foundation model with 16k context (news.ycombinator.com)
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Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more (venturebeat.com)
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Google's TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x (arstechnica.com)
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Google says new TurboQuant compression can lower AI memory usage without sacrificing quality (arstechnica.com)
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Google's TurboQuant reduces AI LLM cache memory capacity requirements by at least six times — up to 8x performance boost on Nvidia H100 GPUs, compresses KV caches to 3 bits with no accuracy loss (tomshardware.com)
7.
Google is using old news reports and AI to predict flash floods (techcrunch.com)
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