autonomous vehicles

Michael Kratsios explains how the White House coordinates technology policy across federal agencies and argues that regulation should keep pace with fast-moving technologies. He describes the administration’s support for open source AI, a national framework to reduce compliance burdens for startups, and efforts to remove barriers for technologies such as commercial drones and supersonic flight. He discusses risks from cyber-capable AI and biological misuse, while emphasizing the need for testing and evaluation. He also outlines how AI could transform scientific research through autonomous laboratories and identifies quantum information science as a priority for the coming years.

Eric Landau describes how his work in particle physics and quantitative trading shaped his view that AI progress comes from scaling data and compute. He explains how Encord’s product and the market gradually converged, and why the company now focuses on data infrastructure for physical AI across robotics, autonomous vehicles, logistics, and manufacturing. The talk covers collecting, curating, annotating, and evaluating multimodal data at scale, along with Encord’s growth, customers, and competition. Landau closes with advice for founders: talk to customers and peers, learn from mistakes, and accept the emotional ups and downs of building a company.