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Mercury 2.5 LLM hits 770 tokens per second

151 points · 92 comments · Retro_Dev

  1. nylonstrung · · focus · HN ↗
    I honestly think the diffusion LLM approach is a dead end

    It's telling that frontier labs like Google toyed around with it but didn't invest further even for their most speed and cost sensitive small models

    Still unclear for what, if any use cases this is pareto frontier

    1. naasking · · focus · HN ↗
      There were too many unsolved problems with diffusion to commercialize it, where autoregressive loops had a more straightforward roadmap. Doesn't mean the diffusion problems are insurmountable though.
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