@no_stp_on_snek: if you build multi-agent or mixture-of-agents systems, read @dangerm00se's writeup. the finding that stuck with me: eve…
Summary
A user highlights a finding from Hugh Madden's writeup on multi-agent systems: even a strong arbiter (GPT-5.5) can be biased by seeing weaker agents' outputs first, collapsing from ~98% solo accuracy to 7/9.
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Cached at: 07/06/26, 02:14 PM
if you build multi-agent or mixture-of-agents systems, read @dangerm00se’s writeup. the finding that stuck with me: even a strong arbiter (GPT-5.5, ~98% solo) collapsed to 7/9 just from seeing weaker agents’ work first. context anchors even your best judge. lots more in here on when ensembles actually help vs just add noise.
put a longer writeup in his post
hugh madden (@dangerm00se): The main thing I had fable doing was routing moa and rlm experiments spanning local api and cerebras. Get your agent to summarise I think some of it was interesting. https://t.co/ZSEJFpfrW3 @DJLougen @no_stp_on_snek @Teknium
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