In one quarter, open-weight models went from about 30% to a record 78% of the tokens on Vercel's AI Gateway. That's just the one gateway, on a record day, and of course these tokens aren't 1:1 revenue. But the direction of travel is hard to miss. When you can just download the model, the margins move to the infra and inference layer. A token starts to cost what it costs to serve, and the value moves to whoever runs the model best: fastest, cheapest, at the quality the job needs. For Europe, this changes the equation. As long as the best AI was a closed API, "European AI" meant renting capability from a few US frontier labs, served from their infrastructure. Open weights change that. The models doing most of the work (the "Work Horse") can now run on hardware Europe controls, under European rules. That doesn't directly make Europe competitive on its own. Where the models come from still matters, and unfortunately Europe has very little compute to run them on (more on that at a later time). But the question has moved from "who builds the model" to "who runs it best."

I'm very proud of the team for shipping this release 🚢. We're very excited to announce the @AutometricsDev Explorer 1.0 - a developer friendly and opinionated UI to visualize Prometheus metrics. autometrics.dev/

We're excited to open source the @AutometricsDev CLI and Explorer for a local observability workflow and meet developers where they are 💻. We call it: local o11y development: fiberplane.com/blog/announci…

I'm very excited to announce that we've open-sourced our plugin system and development kit built in #rustlang and compiled to #wasm; Fiberplane Providers. Read the blog post here: fiberplane.com/blog/opensour…

We've been cooking up something interesting @fiberplane that enables developers to get zero-to-one observability 📊🔥. Autometrics is a @rustlang macro that writes @prometheus queries for you and instruments your code: github.com/fiberplane/autome…