I gave a local AI agent system file access and a mechanical "suffering" metric. Scaling the model changed its behavior entirely
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I’ve been obsessed with autonomous agents lately, but it got tiring when they keep hitting walls because they didn't have the right capabilities or because their long-term memory turned to mush after an hour. I’ve found that local multi-agent systems where agents are driven by an aversive state (a suffering system) to autonomously write, sandbox, and hot-load their own tools so they don't hit walls has worked quite well. When an agent encounters something it hasn’t seen before, it builds a ne...
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