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).

AI agents aren’t “coming” to Ethereum—they’re already here, spinning up on dedicated machines, clicking through wallets, deploying contracts, and even building apps for themselves. This video maps the emerging agent stack: ERC-8004 as a decentralized identity + reputation layer, x402 as payment rails for agent-to-agent commerce, and the real-world “Clawdbot” experiments that show what happens when an agent gets a wallet, a codebase, and a mandate.

Lazar Jovanovic is a full-time professional vibe coder at Lovable. His job is to build both internal tools and customer-facing products purely using AI, while not having a coding background. In this conversation, he breaks down the tactics, workflows, and framework that let him ship production-quality products using only AI.

In this episode Elon discusses the economics of orbital data centers, the difficulties of scaling power on Earth, what it would take to manufacture humanoids at high-volume in America, xAI’s business and alignment plans, DOGE, and much more.

Boris Cherny is the creator and head of Claude Code at Anthropic. What began as a simple terminal-based prototype just a year ago has transformed the role of software engineering and is increasingly transforming all professional work: 1. The counterintuitive product principles that drove Claude Code’s success 2. Why Boris believes coding is “solved” 3. Practical tips for getting the most out of Claude Code and Cowork 4. Three principles Boris shares with every new team member

Crypto still feels like a minefield for humans: Haseeb Qureshi argues that’s a clue, not a bug: blockchains and smart contracts are machine-readable systems that AI agents can parse, simulate, and execute far more reliably than people, shifting crypto’s core user from humans clicking through wallets to agents acting on our behalf. We also dig into the two-track future of agent commerce (safe, human-approved flows vs. the wild-west frontier) & how agent-driven discovery could rewrite competition.

The Moonshots hosts join Andrew Yang to unpack AI's explosive collision with politics - deepfakes weaponizing elections, UBI surging as job-killer abundance hits, and radical fixes like open voting for anyone from Cuban to Robbins - while plotting democracy's entrepreneurial reboot.

Nominal’s cofounders realized that the new age of reindustrialization requires a new approach to hardware engineering and testing that’s closer to how software is developed. They founded Nominal with the insight that while SpaceX, Tesla, and Anduril built proprietary internal platforms for hardware testing, the thousands of new hardware entrants can't afford to replicate that work.

The hosts dive into OpenClaw's explosion - unleashing autonomous local agents on Mac minis that code, create content, and self-evolve 24/7 - featuring expert Alex Finn's workflows, org charts of AI "employees," and visions for trillion-dollar agent economies.

What happens when AI agents can design experiments, collect data, and improve — without a human in the loop? Andrej Karpathy joins Sarah Guo on the state of models, the future of engineering and education, thinking about impact on jobs, managing digital environments through conversational interfaces and his project AutoResearch: where agents close the loop on a piece of AI research (experimentation, training, and optimization, autonomously).

NEAR founder and Transformer co-author Illia Polosukhin joins bankless to break down why today’s AI agents still fall short, what’s missing to make them actually useful, and how IronClaw could unlock secure, private, autonomous AI. We also explore Illia’s bigger thesis: AI becomes the interface, blockchains become the backend, and both reshape how humans, agents, and digital markets interact.

Jensen Huang, co-founder and CEO of NVIDIA, the world's most valuable company and the engine powering the AI computing revolution in conversation with Lex Fridman.

Simon is an independent software developer and one of the most trusted voices on the impact AI is having on builders. He coined the term “prompt injection,” popularized the terms “AI slop” and “agentic engineering,” and has built over 100 open source projects, including Datasette, a data analysis tool used by investigative journalists worldwide. He has made the leap from traditional software engineering to AI-native development more fully and visibly than almost anyone.