Thread

1. mrinterweb · 1785956587 · 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. devolving-dev · 1785957660 · focus · HN ↗

      Models keep on improving though, so doesn't fine tuning become an ongoing task with ongoing maintenance burden?

      1. kumama · 1785958456 · focus · HN ↗

         (one of the blog post authors here) -> once you set up a finetuning pipeline, it's often trivial to rerun it on top of a new open weights model. so, it's orthogonal to base model improvements

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