Outset's CEO Aaron Cannon discusses pioneering AI-moderated customer research, detailing the challenges of building a new market category, the transformative impact of advancing AI models on product capabilities and customer insights, and their new Simulations Lab featuring "digital twins" for predicting human behavior and unblocking enterprise creativity.
Anima Anandkumar discusses her vision for AI in science, moving beyond language models to apply machine learning to the physical world. She introduces neural operators, especially Fourier neural operators, as a solution to data scarcity and resolution challenges in domains like weather, climate, and fusion. These models integrate physical constraints and data to achieve unprecedented speed and accuracy, even on consumer hardware, enabling capabilities from early hurricane prediction to digital twins for fusion reactors and inverse design for advanced materials. The conversation highlights the need for principled AI design for scientific discovery and advocates for distinct regulatory approaches for AI in science.
Professor Alex 'Sandy' Pentland discusses his new book, *Shared Wisdom*, and the critical risks AI poses to society. He draws parallels between the AI-driven collapse of the Soviet Union and today's challenges, arguing that AI systems fail due to poor models of society, not poor algorithms. Pentland introduces solutions like 'loyal agents' that serve individuals, 'data unions' to rebalance power, and new governance models based on open audit trails to ensure AI operates fairly and safely on a global scale.