Lex Fridman Podcast
Lex Fridman · Podcast
Long-form conversations about AI, science, philosophy, and the nature of intelligence.
State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI | Lex Fridman Podcast #490
Sebastian Raschka and Nathan Lambert join Lex Fridman for a 4.4-hour deep dive into the state of AI in early 2026, covering architecture, scaling, post-training breakthroughs, coding agents, AGI timel...
72 hour weeks in AI companies: 9-9-6 work culture in Silicon Valley | Lex Fridman Podcast
The podcast segment explores the intense '996' work culture prevalent in Silicon Valley's AI companies, characterized by working from 9am to 9pm, 6 days a week, totaling 72 hours. The discussion revea...
The genius of Jensen Huang and NVIDIA | Lex Fridman Podcast
The podcast discussion explores the critical role of individual leaders, particularly Jensen Huang of NVIDIA, in technological innovation. The speakers analyze how singular visionary figures can drama...
AI slop is everywhere: How this impacts human knowledge | Lex Fridman Podcast
In this podcast transcript, the speakers explore the evolving landscape of AI, particularly Large Language Models (LLMs), and their impact on human knowledge, creativity, and professional work. They d...
How ChatGPT will make money: Will it become profitable? | Lex Fridman Podcast
In this podcast segment, the speakers discuss the transformative potential of Large Language Models (LLMs) like ChatGPT, particularly in democratizing access to human knowledge globally. They argue th...
Advice for beginners in AI: How to learn and what to build | Lex Fridman Podcast
In this podcast segment, the speakers discuss learning and developing expertise in AI, particularly language models. They emphasize the importance of building models from scratch to understand their f...
Is SF and Silicon Valley a bubble? | Lex Fridman Podcast
Lex Fridman discusses the phenomenon of Silicon Valley as an intellectual and technological bubble, exploring its complex dynamics of innovation and potential limitations. He argues that while bubbles...
How modern LLMs work | Lex Fridman Podcast
The podcast explores the rapidly evolving landscape of open-source large language models (LLMs), highlighting significant developments in 2024-2025. Experts discuss the proliferation of open weight mo...
Ideas in AI beyond transformers | Lex Fridman Podcast
In this podcast discussion, experts explore emerging alternatives to transformer-based language models, with a particular focus on text diffusion models. The conversation highlights the current limita...
Evolution of LLMs from 2019 to today | Lex Fridman Podcast
In this discussion, experts explore the evolution of Large Language Models (LLMs) from GPT-2 to current architectures, emphasizing that while the fundamental transformer architecture remains largely u...
The "secret sauce" of recent AI breakthroughs: Post-training with RLVR (and RLHF) | Lex Fridman
In this podcast episode, Lex Fridman explores the recent breakthroughs in AI post-training, focusing on Reinforcement Learning with Verifiable Rewards (RLVR). The discussion reveals how this approach ...
Long context windows for LLMs: 1 million tokens and beyond | Lex Fridman Podcast
The discussion centers on the challenges and innovations surrounding context length in large language models (LLMs). Experts explore the computational and data constraints of expanding context windows...
The huge cost of training LLMs | Lex Fridman Podcast
The podcast discusses the significant economic challenges and considerations in large language model (LLM) training and deployment. The speaker highlights that while pre-training models has become inc...
Career advice in AI: Where to work? | Lex Fridman Podcast
In this discussion about career paths in AI, the speakers explore the complex trade-offs between academic research and industry positions. They highlight the challenges faced by researchers, including...
Is the dream of AGI dying? | Lex Fridman Podcast
In this podcast discussion, the speakers explore the current state and future potential of large language models (LLMs) and artificial general intelligence (AGI). They debate whether the dream of a si...
Timeline to AGI: When will superhuman AI be created? | Lex Fridman Podcast
In this podcast discussion, the speakers explore the complex landscape of artificial intelligence development, focusing on timelines to Artificial General Intelligence (AGI) and Artificial Superintell...