State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast #490
Summary
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). Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep490-sb See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. *Transcript:* https://lexfridman.com/ai-sota-2026-transcript *Correction:* Here's an updated image listing a collection of recent open & closed…
Related: Google: State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast #490 · Anthropic: State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast #490 · Meta: | AI at Meta
Rated low: routine. Worth knowing, not worth rearranging your day for.
- TRUSTBANK uses AI agents to personalize Furusato Nozei giftsOpenAI News
- Update to GPT-5 System Card: GPT-5.2OpenAI News
- How confessions can keep language models honestOpenAI News
- Understanding prompt injections: a frontier security challengeOpenAI News
- Detecting and reducing scheming in AI modelsOpenAI News
- SafetyKit scales risk agents with OpenAI’s most capable modelsOpenAI News
Questions people ask
- Where can I read the full video?
- On Lex Fridman. The "Read this on Lex Fridman" link above opens the original in a new tab. Subvolts publishes a summary and analysis, never the full piece.
- What does this mean for ChatGPT?
- Nathan Lambert and Sebastian Raschka are machine learning researchers, engineers, and educators. Nathan is the post-training lead at the Allen…
More from Lex Fridman 1 more
Page generated Sep 3, 2026. Summaries are Subvolts' own; the story belongs to Lex Fridman.





