Thread

1. riskable · 1790695847 · focus · HN ↗

   I always figured that the free/open weights models like qwen3.8:27b would perform just as well if not better than Claude's latest if you just fed it back into itself enough times. This project seems to prove that this is indeed the case.

   What I'd like to see now is how good it can get when you feed the micro models like qwen3.5:0.8b into itself to solve problems. Will it be like toddlers discussing neighborhood politics at a pretend tea party or will it actually get some decent results?

   Another game-changer (if this style works out): Just get a model like qwen3.8:27b onto one of those model-on-a-chip cards that makes it 1000x faster and see how fast it can go using the same method.

   1. troyvit · 1790701373 · focus · HN ↗

      What you describe reminds me of some studies of jumping spiders. Some aspects of their intelligence (like counting) matches that of a 1 year old human, but because their brains are so tiny it just takes them much longer to do the same counting. IOW it's not the size of the model, but how it's organized and the strategies for using it.

      This article has lots of fluff but it describes a lot of what I'm talking about:

      <a href="https:&#x2F;&#x2F;knowablemagazine.org&#x2F;content&#x2F;article&#x2F;mind&#x2F;2021&#x2F;are-spiders-intelligent" rel="nofollow">https:&#x2F;&#x2F;knowablemagazine.org&#x2F;content&#x2F;article&#x2F;mind&#x2F;2021&#x2F;are-s...

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