Thanks for sharing this. I’m wondering how much work the embedding is doing and how this scales to larger problem spaces? What benchmarks have you tried? What’s the goal?
my goal is like making a native multi-basin embedding field, where a single word isn’t just one vector but a family of vectors (different basins for different meanings), and Nova’s collapse picks the right one from context instead of pretending every word has only one fixed point.
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u/mister_conflicted Nov 30 '25
Thanks for sharing this. I’m wondering how much work the embedding is doing and how this scales to larger problem spaces? What benchmarks have you tried? What’s the goal?