Video summary
State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI
In this Lex Fridman conversation with Sebastian Raschka and Nathan Lambert, the discussion centers on the state of AI heading into 2026. The excerpt covers major model releases, the impact of the DeepSeek moment, open-weight models, competition between U.S. and Chinese labs, and how products like Claude, Gemini, and ChatGPT are shaping user behavior. It also touches on why organizational culture, hardware budgets, and real-world usage patterns may matter as much as raw model quality.
State of AI overview
A wide-ranging discussion on the current state of AI, with a focus on recent breakthroughs and what may come next.
U.S. vs. China AI race
The conversation examines competition between U.S. and Chinese AI labs, including open-weight model strategies and market influence.
Models, coding, and usage
The guests compare major model releases, coding performance, user adoption, and how brand, memory, and workflow shape usage.
Topics
State of AI in 2026
A broad look at the current AI landscape, including recent technical progress and what may happen next year.
China and open models
The guests discuss DeepSeek, open-weight models, and the growing number of strong Chinese AI labs.
Model competition and usage
The conversation compares Claude, Gemini, and ChatGPT, including hype, adoption, and coding-focused workflows.
Public transcript excerpt
Transcript
Timestamped public transcript passages group captions into readable sections, making the video easier to scan, cite, and summarize.
on. And now, dear friends, here's Sebastian Raschka and Nathan Lambert. So I think one useful lens to look at all this through is the so-called DeepSeek moment. This happened about a year ago in January 2025, when the open-weight Chinese company DeepSeek released DeepSeek R1, that I think it's fair to say surprised everyone with near-state-of-the-art performance, with allegedly much less compute for much cheaper. And from then to today, the AI competition has gotten insane,