
Andrej Karpathy reveals why he's never felt more behind as a programmer and unpacks the radical shift from 'vibe coding' to 'agentic engineering.' Discover the new computing paradigm of Software 3.0 and how AI is fundamentally changing development, automation, and even human skills.
Robotics in our lifetime?
AI wrote code overnight
Hassabis's AGI prediction
Easy to start, hard to finish
AI's bizarre logic
Explore all sessions, quotes, and moments organized by theme.





“Our generation was born too late to explore the earth and too early to explore the stars. But we are born just in time to solve robotics.”
Robotics in our lifetime?
Believe in deep learning?
Zero robot data?
Physics from pixels?
24-hour robot curse broken!
Is it real or neural?
Wrong focus for robots?

“No matter how fast we try to ramp compute I guarantee we're not going to be able to keep up with demand. And that has been true ever since.”
AI wrote code overnight
AI escalated to manager
No wall, just keeps going
Constant powering innovation
Buy, rent, build compute
Deep and beautiful mystery
Andrej Karpathy, a seminal figure in modern AI, recently shared a startling admission: he's never felt more behind as a programmer. This sentiment, he explains, isn't a sign of personal failing but rather a profound indicator of the rapid, fundamental shift AI is bringing to the world of software development.

Demis Hassabis, CEO of DeepMind, offered a compelling glimpse into the future of Artificial General Intelligence (AGI), asserting that the field is 'three quarters of the way' to achieving this monumental goal. His journey, marked by early success in gaming and a deep dive into neuroscience, laid the groundwork for a vision that many once dismissed as 'sci-fi.'

In a candid discussion, OpenAI President Greg Brockman offered a rare glimpse into the company's ambitious journey, revealing the foundational role of compute, the surprising evolution of AI models, and the profound implications for businesses and society. From the relentless race for computational power to the ethical considerations of building advanced AI, Brockman painted a picture of a future shaped by increasingly capable and autonomous systems.

Dmitri Dolgov, a pioneer in autonomous vehicle technology for over two decades, shared Waymo's journey from its ambitious beginnings to its current exponential growth, emphasizing the critical role of persistence, a unique AI architecture, and an unwavering commitment to safety.

NVIDIA's Jim Fan, a leading voice in embodied AI, laid out a compelling vision for the future of robotics, drawing a 'Great Parallel' to the rapid advancements seen in large language models (LLMs). His presentation, 'Robotics' End Game,' detailed a strategic shift in model architecture, data acquisition, and simulation, predicting a future where robots achieve unprecedented levels of dexterity and autonomy.