Agi

Grant Sanderson (@3blue1brown) – AI and the future of math

Grant Sanderson (@3blue1brown) – AI and the future of math

Grant Sanderson and Dwarkesh Patel discuss AI's rapid but uneven progress in mathematics, exploring whether AI can achieve true conceptual breakthroughs, the challenge of measuring creativity, and the long-term implications for human understanding and the future roles of mathematicians. They delve into the unique 'grindability' of math for AI training, the potential of formalization, and why AI currently struggles with 'theory of mind' in writing, offering advice for students navigating an AI-transformed world.

Why Tejal Patwardhan stopped underestimating the models - Episode 21

Why Tejal Patwardhan stopped underestimating the models - Episode 21

Tejal Patwardhan, head of OpenAI's frontier evals team, discusses the critical evolution of AI evaluations. She explains why traditional benchmarks fail as models become more capable, how OpenAI develops realistic, long-horizon tests (including groundbreaking wet lab experiments), and the implications of rapidly advancing multimodal and reasoning models for scientific discovery and the future of human work.

Simulating Humans at Scale: Simile's Joon Sung Park

Simulating Humans at Scale: Simile's Joon Sung Park

Joon Sung Park, founder and CEO of Simile and creator of Stanford's "Smallville" generative agents study, explains how Simile is building the "GPU of intelligence" to simulate human society, diverging from frontier models that act as the "CPU of intelligence." He details Simile's approach of grounding simulations with real human behavioral data, its diverse corporate applications, and its long-term vision to create a "CERN of human society" to solve fundamental societal challenges.

Inference, not prediction — Prof. Michael I. Jordan on what modern AI is still missing

Inference, not prediction — Prof. Michael I. Jordan on what modern AI is still missing

Michael I. Jordan, a leading figure in machine learning and statistics, argues for reframing AI from a race for disembodied superintelligence to the design of collective economic systems. He critiques the AGI hype, advocates for integrating economic principles and robust uncertainty quantification into ML, and proposes a new intellectual framework for building technology that augments, rather than replaces, human systems.

OpenAI's Greg Brockman: Why Human Attention Is the New BottleneckOpenAI's

OpenAI's Greg Brockman: Why Human Attention Is the New BottleneckOpenAI's

Greg Brockman, co-founder and president of OpenAI, discusses the company's insatiable need for compute, the state of scaling laws, and the belief that we are 80% of the way to AGI. He explores how agentic coding tools are transforming software development, the emerging role of human attention as the ultimate bottleneck, and the future of AI in pushing scientific frontiers.

100 Years of Progress in 100 Days: Sequoia AI Ascent 2026 Keynote

100 Years of Progress in 100 Days: Sequoia AI Ascent 2026 Keynote

Sequoia Capital partners argue that AI is a revolution in computation, not just communication. They explain how long-horizon agents are reshaping every layer of work, comparing the current shift to the Industrial Revolution's impact on manual labor and suggesting that innovations that once took a century are now possible in a hundred days.