Conviction

we're extending the application deadline for Conviction Embed, our grant program for AI-native startups to 8/14 it's the best time in history to start a company. for fun, we've added to our list of plausible schemes: 1. use the recipe 2. machine verified trades 3. the officeverse 4. reasoning infrastructure for companies 5. vertical robots: data in, work out full list of startup ideas and application on the Conviction website:

Overworked. Overscheduled. Buried under a firehose of research. Doctors today face an impossible task. OpenEvidence reasons about millions of studies in fast-progressing medicine to give clinicians the answers they need at the moment of care. Congratulations Daniel Nadler Zachary Ziegler and team on their $210M fundraise. Conviction is proud to be a supporter. My favorite email thread is the “OpenEvidence feedback from doctors” thread.

🚨 applications are open for the fifth batch of Conviction's batch program 🚨 Embed is a Schelling Point for the highest quality early-stage founders in AI: offering $150K cash, $500K+ compute, community and a catalyst to start a startup. early admits to this batch are ex-Open AI researchers, ML professors and a Thiel fellow. join them!

We’re thrilled to announce Chai-2, a major breakthrough in molecular design. Chai-2 enables zero-shot antibody discovery in a 24-well plate, exceeding previous state-of-the-art performance by over 100x. We prompt Chai-2 with 50 targets, test them in the lab, and observe a >15% hit rate. In just 2 weeks, we generate molecules, and synthesize + characterize them in the lab, without any iterative optimization or high-throughput lab screening. At the core of Chai-2’s success is its multimodal generative architecture, integrating all-atom structure prediction and generative modeling. This enables Chai-2 to create novel and epitope-specific binders. We believe that our results mark a transition from empirical discovery to deterministic molecular engineering. We’re grateful to many partners for making this possible: Oracle for the massive compute that was required; NVIDIA Healthcare for new GPU kernels and accelerating our sequence search; and Sino Biological, Inc. and Adaptyv for conducting many wet-lab experiments in the paper. ✨Reach out at chaidiscovery.com/product if you’d like access to Chai-2. 🔬Whitepaper with more details: https://lnkd.in/eS99bsyp