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by vitally3643 16 days ago
I've been experimenting with something similar. I spun up every machine I have with enough resources to run an LLM and loaded each up with whatever would fit. Then I tried to orchestrate them as a swarm of independent code authors and reviewers. It didn't work because most of the models were just so weak at code. But what did work shockingly well was asking every distinct model I had to weigh in on an idea. Most of these modeis were meant for prose, and most are thinking types, so once all models respond, the biggest one summarizes them together. This method is genuinely better than any one model alone. It actually outperforms Claude and Codex, which claim to be surprised by the feedback. Either way, the swarm often finds problems that frontier models overlooked or got wrong. Hell, it usually outperforms my own thinking.
1 comments

Which llms are in the swarm? What is the “weighing in” prompt?