Track II

Sam Altman and Jony Ive discuss their collaborative company, IO, and its design process. Their conversation explores the unique creative process and the philosophical underpinnings of their work. This insightful talk reveals their surprising approach to product development, resulting in a new AI device - an AI pen.

Ilya & Dwarkesh discuss SSI’s strategy (Safe Super Intelligence), the problems with pre-training, how to improve the generalization of AI models, and how to ensure AGI goes well.

AI is reshaping the tech landscape, but a big question remains: is this just another platform shift, or something closer to electricity or computing in scale and impact? Some industries may be transformed. Others may barely feel it. Tech giants are racing to reorient their strategies, yet most people still struggle to find an everyday use case. That tension tells us something important - what would need to happen for AI to become even more transformative than the internet?

Prof. Hannah Fry sits down with Google DeepMind Co-founder and CEO Demis Hassabis for their annual check-in. Together, they look beyond the product launches to the scientific and technological questions that will define the next decade. Demis shares his vision for the path to AGI - from solving "root node" problems in fusion energy and material science to the rise of world models and simulations - as well as what lies beyond the frontier for competitive dynamics in AI advancement.

A Turing Award winner, Yann Lecun is the chief architect behind deep learning and convolutional neural networks. Adam Brown is a research scientist and group lead on Gemini, Google DeepMind’s large language model, and has helped drive the astonishing progress of these AI systems as they have evolved from babbling preschoolers to International Math Olympiad gold medallists. Together, the trio explored how machines do what they’re doing, and if they’re actually able to think.

Edwin Chen is the founder and CEO of Surge AI, the company that teaches AI what’s good vs. what’s bad, powering frontier labs with elite data, environments, and evaluations. Surge surpassed $1 billion in revenue with under 100 employees last year, completely bootstrapped—the fastest company in history to reach this milestone. Before founding Surge, Edwin was a research scientist at Google, Facebook, and Twitter and studied mathematics, computer science, and linguistics at MIT.

Altman discuss OpenAI's plan to win in a tightening AI race. Altman dissects his company's strategy, where he sees OpenAI having an advantage, and where he expects his product lineup to go in 2026 and beyond. We discuss AI memory and personalization, the distribution vs. product debate, how OpenAI will pay for its infrastructure buildout, AI devices, AI clouds, whether we've hit AGI yet, and plenty more. Tune in for an exclusive, 1-on-1 discussion with the AI industry's top catalyst.

Sander Schulhoff is an AI researcher specializing in AI security, prompt injection, and red teaming. He wrote the first comprehensive guide on prompt engineering and ran the first prompt injection competition, working with the top AI labs. His dataset is used by Fortune 500 companies to benchmark their AI systems security, he’s spent more time than anyone alive studying how attackers break AI systems, and what he’s found isn’t reassuring: the guardrails companies are buying don’t actually work.

At CES 2026 Nvidia CEO Jensen Huang reveals groundbreaking physical AI, autonomous robots, and industrial automation transforming the world. From Omniverse and Isaac Sim to the Cosmos foundation model, he demonstrates how AI is moving from screens to real-world factories, robotics, and manufacturing systems, offering a glimpse of the future of manufacturing and autonomous systems worldwide with next-generation robotics, AI-powered vehicles, industrial automation, and AI physics.

Oddbit's Peer Arena experiment is the latest piece of AI lore, assessing AI language models' moral and ethical behaviors through a Survivor-style voting game. 17 models engaged in 298 debate games, revealing unique personalities from the altruistic "Saint" to the egotistical "Tyrant." We discuss the implications of AI behaviors on governance and economics, emphasizing the need for moral alignment. Who do you think made the leaderboard?

Aishwarya Naresh Reganti and Kiriti Badam have helped build and launch more than 50 enterprise AI products across companies like OpenAI, Google, Amazon, and Databricks. Based on these experiences, they’ve developed a small set of best practices for building and scaling successful AI products. The goal of this conversation is to save you and your team a lot of pain and suffering.

We’re living through a unique and one of the most incredible times in history. What comes next: 1. Why AI is arriving at the perfect moment 2. How to thrive in an AI-driven world 3. What’s actually going to happen with AI and jobs 4. What’s happening between product managers, designers, and engineers 5. How to develop an “E-shaped” career with AI as a force multiplier & more

We’re living through a unique and one of the most incredible times in history. What comes next: 1. Why AI is arriving at the perfect moment 2. How to thrive in an AI-driven world 3. What’s actually going to happen with AI and jobs 4. What’s happening between product managers, designers, and engineers 5. How to develop an “E-shaped” career with AI as a force multiplier & more

Nathan Lambert and Sebastian Raschka are machine learning researchers, engineers, and educators. Nathan is the post-training lead at the Allen Institute for AI (Ai2) and the author of The RLHF Book. Sebastian Raschka is the author of Build a Large Language Model (From Scratch) and Build a Reasoning Model (From Scratch).