Quick question — has anyone tried multi-agent setups where agents use genuinely different underlying LLMs (not just roles on the same model) for scientific-style open-ended reasoning or hypothesis gen? Most stuff seems homogeneous. Curious if mixing distinct priors adds anything useful, or if homogeneous still rules. Pointers to papers/experiments/anecdotes appreciated! Thanks!   submitted by   /u/Clear-Dimension-6890 [link]   [comments]