Hannah Fry talks with Pushmeet Kohli and Jeremy Ratcliffe about SynthID, DeepMind's invisible watermarking technology. They cover its origins and design requirements, how it works for text, images, and video, why it matters for regulation and misinformation, and how SynthID Bio extends watermarking to protein structures and sequences to help screen AI-designed biological material without changing function.
Eric Nguyen, CEO of Radical Numerics, details the journey from early genome language models to Omni, a system that excels in DNA reading, writing, and reasoning. Omni outperforms specialized models in disease-variant prediction, particularly in previously challenging non-coding regions. The discussion also covers the critical need for AI-native biosecurity defenses, addressing how models can design biological sequences that evade current detection systems, and the broader vision for General Biological Intelligence.
OpenAI research lead Joy Jiao and product lead Yunyun Wang detail the development of specialized AI models for the life sciences. They discuss the new biochemistry-focused model series designed to accelerate research in genomics and protein understanding, the critical challenge of managing biosecurity risks through a "differentiated access" model, and the future vision of AI-powered autonomous labs that could revolutionize drug discovery and personalized medicine.
Microsoft’s Eric Horvitz and guests discuss the Paraphrase Project, a two-year red-teaming effort that uncovered and patched a significant biosecurity vulnerability, demonstrating a model for responsibly managing the dual-use risks of generative AI in protein design.