AI News & Analysis

0:45

Everyone Else Hides the Falls. He Says That’s Where the Market Lies Start.

0:44

Generative AI reliability

52:15

This Founder Raised $112M to Build Retail AI That Sells Like TikTok

1:49:57

From Wet Lab to RL Env: 10,000 Drug-Discovery Campaigns in a Weekend — Ian Quigley, Leash Bio

1:30:18

Visiting Taiwan w/ Jensen Huang | Lex Fridman

1:06

AI Coding Is a Slot Machine: Loss Disguised as a Win | Jeremy Howard

1:33

Fix what you control, not the model!

1:47:39

BI 247 Maxim Raginsky: A Control Theory View on Brains and AI

2:18

Jon Krohn | Official Sizzle Reel

0:15

Palmer Luckey Sends a Robot in a Hawaiian Shirt and a Mullet Wig.

15:50

Tech Titans: Lessons From Shipping Felix AI to Market with Mario Ciabarra, CEO of Quantum Metric

1:29:40

Why Jev Is Changing How We Build With AI

28:05

How to kill your SaaS: what we learned replacing a $43K/yr tool with AI agents

5:15:51

DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux | Lex Fridman Podcast #501

47:55

What Most People Get Wrong About Evolution | Akarsh Kumar

1:35

The AI images we rejected turned out to be useful references. We showed the model what to avoid alo

1:36:11

BI 245 Dan Levenstein: Neuro-AI, Dynamics, and Model Systems

0:44

Bernie Sanders Wants the Public to Own AI - Here's the Risk

0:31

Last Year It Was Sixth on the List. This Year It’s First.

0:45

AI can solve complex problems yet struggle to explain the solution

1:07:19

From Math Olympiads to Navier-Stokes: How Fast Is AI Progressing?

1:21:06

Robots That Predict the Future: Dyna-2 & Physical AI — Jason Ma, Dyna Robotics

0:57

Life as it could be | Akarsh Kumar on Artificial Life

1:14

Books are slow. I’m happy with that. When I want to understand something properly, I like having ti

1:29:44

BI 244 Marco Facchin: Philosophy and Science of Biological Brains

1:07:02

Getting Value from Artificial Intelligence — Jon Krohn at Hg Capital "Digital Forum" 2023

1:02

Even the Smartest Expert Has to Guess. In AI, a Guess Is a Hallucination.

0:52

Define what success looks like before evaluating new AI capabilities.

1:04:29

From Voice Agents to AI Avatars

0:24

High Taste Testers: DevDay Edition

1:10:10

How a Voice Agent Learns the Rhythm of Conversation — Shawn Wen

0:18

Our internal writing benchmark uses 3 AI judges: Claude, GPT and DeepSeek. So do they favor their

1:44:35

BI 242 Kathryn Nave: How Life Gets its Meaning and Intelligence

2:17:12

Generative AI with Large Language Models: Hands-On Training feat. Hugging Face and PyTorch Lightning

0:55

The Co-Creator of ChatGPT Explains Exactly Why AI Makes Things Up

0:40

AI is flooding codebases with volume, testing must evolve to keep up

1:04:42

From Voice Agents to AI Avatars

32:42

Why AlphaFold Didn't Solve Protein Folding — Pushmeet Kohli, Google DeepMind & Sal Candido, Biohub

0:49

The most natural voice agent was a French voice speaking English

0:25

8 AI models write the same YouTube script at their real generation speed, sped up 60x. From our inte

1:37:08

BI 241 Johannes Jaeger: Agency and the Cyborg Myth

1:11

Why Every AI Giant Suddenly Wants to Go Public

0:19

These Are Made-Up Jobs. And They’re Blocking the Real Work.

1:03:35

Theoretical Computer Scientist: AI Just Changed Math Forever, with Scott Aaronson

59:00

Do AI Tokenomics Matter More Than Model Benchmarks?

1:25:21

AI Scientists Are Here: Autonomous Labs & Synthesis Superintelligence — Periodic Labs

1:14:20

AI Can Write the Proof. Who Checks It? — Leonardo de Moura

0:28

We asked Opus 5.5 to write our whole book. It got a little carried away haha Opus 5.5 is the #1 wri

1:42:24

BI 240 Cristopher Moore: Cognition and Computational Complexity

0:40

The Most Destructive Thing in Business Right Now Is the AI Officer.

0:39

Using failure testing at scale to bring true reliability to AI models.

1:05:31

Nobody Agrees What a 'World Model' Is — Justin Johnson (World Labs) Explains Why

57:52

Which GPU Clouds Are Actually Good? | ClusterMAX 3.0

0:57

Reward hacking… or just fixing a bug? #podcast

27:30

From Hype to Useful AI Agents: The 2023–2026 Timeline

0:28

Before He Gets on the Treadmill, He Knows Which Clients Left.

0:55

Task-specific agents win on cost, quality, and latency when powered by APIs

57:36

Why the Next AI Breakthrough May Come from Physics

1:43:25

Recursive Language Models — Alex Zhang, MIT PhD

43:43

Can Rewriting an AI Agent Bend the Intelligence Curve? - Zhengyao Jiang

0:13

Open vs. Closed models on writing 1000 scripts