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Brief

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

  1. DiffusionGemma 26b on a 4090 at up to 475t/s... and some thoughts...

    A user on Reddit shared their experience running the DiffusionGemma 26B model on a 4090 GPU, achieving speeds between 290-700 tokens/second. However, they found the model to be single-user only, less accurate than standard Gemma models, and prone to context fading. The user concluded that the model is not worth the effort, as a regular 26B model running through llama.cpp offers better performance and accuracy. AI

    DiffusionGemma 26b on a 4090 at up to 475t/s... and some thoughts...

    IMPACT This model's performance issues suggest limited utility for general users despite high theoretical speeds.