Open-source models are quietly catching up to the frontier
Weights you can run at home are no longer a curiosity.
The numbers tell part of the story. The rest lives in the texture of how people are actually behaving when no one is watching.
The shift did not happen overnight. It accumulated in quiet decisions, small wins, and a handful of unglamorous fixes that no one tweeted about.
Observers describe a mood of cautious optimism, the kind that travels in private conversations long before it appears in any press release.
Practical effects are already visible on the ground, and they tend to outrun the official analysis by a comfortable margin.
Critics raise familiar objections, and some of them land. The honest answer is that the tradeoffs are real and worth naming.
A small group of practitioners has been arguing for this approach for years. They are doing their best not to look smug.
