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Show HN: Mini-AGI – Dynamic continual learning model trained on 8GB VRAM

277 points · 81 comments · volotat

  1. xtracto · · focus · HN ↗
    This is pretty cool, thanks for sharing. Whe I read it first and saw "continual" I thought for a minute that it was implementing an idea I've been thinking about:

    I want to have an agent that thinks continually/non-stop. Imagine a loop of "train of thought" that goes into the LLM and then out. Keep it going so that it "rumiates" thr way we do.

    Then, add some sort of "messages" or IRQs when I want to communicate with it. To ask it things and whatnot. I think that sort of cycle in addition to this learning you are doing is what is missing for real AGI.

    1. codethief · · focus · HN ↗
      Some OpenClaw/Hermes-like agents actually work like that. (Can't find the link right now.)
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