This issue's stories share a thread worth pulling on. Goodfire does not build a DNA model - it wraps interpretability around one that already exists and extracts clinical value. AWS does not train biological AI models - it packages more than 40 of them into a managed service with lab access built in. VCHarness takes existing foundation models as raw material and lets an autonomous system figure out how to combine them into something better. Even dnaHNet, the most traditional model paper in the lineup below, is really about what sits between the raw sequence and the model: the segmentation layer that decides how DNA gets represented.

In AI right now, everyone is talking about the harness. The model reasons. The harness - the system wrapped around it - manages tools, search, feedback, and evaluation. It is an idea that started in software engineering and is now showing up in biology. VCHarness is obviously named after it. But you can see the same logic in every story here.

One more thing. This issue includes something new: FIRSTHAND, a section built from my own reporting. Max Jaderberg does not give many interviews, and what he told me about where Isomorphic Labs is heading - in his own words - is available only to BAIO subscribers. I hope to bring more conversations like this to the newsletter.