We’re excited to announce Ortet, a frontier AI lab for health. A fundamental gap in care today is that the industry and its scientific tools focus on discovering what works at the population level, while it is individual patients we must focus on to deliver the best care. Individualized care requires a broad view of the patient, the care they receive, and the system around them. Yet the information needed for such a view remains fragmented. At Ortet, our goal is to create continuously improving intelligence for every patient: the Ortet Health Model, bringing together biological, clinical, and operational dimensions to better predict what happens next and which actions are most likely to lead to better outcomes. To deliver it, we are creating frontier AI from the ground up—across compute, data infrastructure, and models—and building and operating at every layer of AI. We are scientists and engineers behind foundational AI advances, including the attention mechanism, GRU, and neural text-to-image generation. Across the team, our work spans frontier AI research, health, life sciences, and large-scale data and compute infrastructure—from building AI for lab-in-the-loop molecular design and co-founding Prescient Design to establishing Genentech’s frontier research team and building the largest GPU cluster in life sciences. We imagine a future where everyone has access to affordable, precise, and better care. If you want to help us build that future, join us: ortet.ai

The circuit hypothesis proposes that LLM capabilities emerge from small subnetworks within the model. But how can we actually test this? 🤔

I'm thrilled to present a new paper with @blei_lab and @lizbwood about estimating the causal effects of T cell receptors in humans. arxiv.org/abs/2410.14127

I’m thrilled to announce: at @jura_bio we’ve constructed a new kind of generative protein model, which allows us to manufacture its generated designs in the real world at petascale. Paper: static1.squarespace.com/stat… Blog: jura.bio/blog/variationalsyn…