Blog

Our updates

Notes on AI × Science, scientific reasoning models, and what we are building.

  1. Building molecular machines to make human biology controllable

    Falling DNA synthesis cost and growing model capabilities have changed the economics of lab-in-the-loop protein design; evolution supplies the priors that collapse the search space and the modular functions worth borrowing. What GPT‑4b micro already proved, and what we build on top of it.

    Read →

  2. Building productive scientific intelligence

    Why AI × Science is the steepest exponential, why science is structurally ripe for disruption, and how a scientific reasoning layer over frontier models — with a lab in the loop to run the experiments it proposes — turns distributed knowledge into compact world models and monetizable products.

    Read →