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Beating GPT-5.6 Sol on retrieval with 100x cheaper open models

415 points · 114 comments · moonikakiss

  1. mrinterweb · · focus · HN ↗
    There is so much opportunity for purpose built models like this. Ideally a harness should spin up a subagent to offload to targeted models for specific tasks like this. I know this is not a novel idea. Claude code does some of this by handing off the "explore" agent work to haiku. I just love seeing that specialized LLMs are being developed.
    1. kinnth · · focus · HN ↗
      isn't this also the threat to frontier AI houses? As in they want you to expend tokens in their ecosystem, but the optimization at 100x is their profit?
      1. kumama · · focus · HN ↗
        castform founder here. i'd say it's a threat but the frontier ai labs' argument would basically be that the market opportunity for intelligence is infinite so it doesn't matter. at the same time, i do believe there will continue to be a massive, growing market for big labs, esp for super-frontier use-cases. today that's longer-horizon coding tasks but in the future it can be things like scientific discovery, etc.
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