Collections / AI Research & Frontier Labs Live data

AI Research & Frontier Labs

AI and machine learning research: frontier labs, researchers, alignment and capabilities commentary.

We index newsletters and podcasts — where named humans still talk to real audiences, and the one part of the media your monitoring tool can't see — and make them searchable by your AI agent. This page is one market's worth of that corpus.

Sources: 66
Posts and episodes: 13,053
Podcasts: 28
Newsletters: 28
Latest post: 1 day ago

Things people say here — from the shows in this collection

All quotes →

“Those are the first jobs. Like the coders wrote themselves out of their own jobs knowingly. It's like going to work every day and cutting off a little piece of your arm and eating it until you have no arm left. And it's like, you were eating your arm. How did you think you would have an arm when you kept eating your arm?” — John Sherman, For Humanity: An AI Risk Podcast

“Our history is littered with, I mean, it's just full of examples, after example, where companies were left alone to police themselves or regulate themselves. And they will basically do anything and everything, it seems like almost all the time, until they were physically stopped from doing it. And you'd like to give them the benefit of the doubt. But I mean, history shows that normally that doesn't go well.” — Dewayne Moore, For Humanity: An AI Risk Podcast

“If you say you're worried what you're making is going to kill everybody, like everybody, and you're serious, there's no excuse to keep doing it in my mind. I don't care if, well, if we don't, then they'll do it. Okay. So just stop. Stop and go fly to the other companies doing it and spend all your time convincing them to stop, you know, if you're serious. I think that's a cop out.” — Dewayne Moore, For Humanity: An AI Risk Podcast

“I think the number one takeaway here is that this is the final nail in the coffin of the Ed Zitron camp, right? This idea that, like, look, sure, Anthropic is making tokens, but they're just borrowing from NVIDIA, right? And all these companies are just like in a circle, like throwing money at each other, and there's no value being generated. There were so many data points from the Anthropic S1 that put the nail in the coffin of that kind of speculation. So, number one is just like the cash flow. It was very clear that when Anthropic is serving a model, the margins on serving the model are huge. They were talking like 50, 60, 70, 80%, like depending on how you account for it. But like, yeah, they serve a model. They're printing money. Like, serving the model is printing money.” — Liron Shapira, Doom Debates!

“As of a year ago, I had this theory when people were saying, where's the productivity growth? … But I had this theory that what was actually happening was that the workers who had figured out how to use AI weren't telling their bosses. They were just spending their day at the beach, right? And so they're still getting as much money as they were to do the same amount of work they were doing. So the productivity growth doesn't show up unless you count beach time.” — Robert Wright, Doom Debates!

“It's always been my experience throughout most of my life where I'm like, yeah, this is like the peak of my brain. I'm understanding this with so much nuance. Like computers are so far from being able to do this. And then literally in a period of months, I still remember it was March this year, right? … my entire career entered a completely new phase where now I don't write code at all. I just tell AI to write code. Like I've become a product manager. And of course, the AI is on my heels being its own product manager.” — Liron Shapira, Doom Debates!

Who publishes here — active in the last 90 days

Sam Charrington

796 posts

Machine learning and AI industry analyst and advisor, and founder of TWIML, whose research covers enterprise A...

Nathan Lambert

777 posts

ML researcher making sense of AI research, products, and the uncertain technological future. PhD from Berkeley...

Zvi Mowshowitz

587 posts

AI analyst and rationalist blogger who writes weekly roundups on language models, their uses and harms, and ca...

Gary Marcus

548 posts

Scientist, author and entrepreneur, known as a leading voice in AI. Six books including The Algebraic Mind, Re...

Jeffrey Ding

521 posts

Writes ChinAI Newsletter, weekly translations of Chinese-language writing on China's AI industry, covering AI...

Alberto Romero

472 posts

People and AI

Ben Recht

440 posts

Ben is a Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley.

Andrey Kurenkov

417 posts

Former AI researcher (PhD from Stanford), current AI builder. Co-founder of The Gradient, Last Week in AI, and...

Nathan Labenz

389 posts

Founder and former CEO of Waymark, an AI-powered video creation platform, who now focuses full time on trackin...

Erik Torenberg

383 posts

Ben Lorica

316 posts

Data scientist covering AI infrastructure, foundation models and enterprise AI adoption. Founder of Gradient F...

Gus Docker

278 posts

Podcast host and director at the Future of Life Institute, where he interviews researchers, policymakers and p...

Jaeden Ai 267

Tim Scarfe 251

Nathan Benaich 225

Hugo 219

Liron Shapira 217

Dwarkesh Patel 186

Shakeel Hashim 181

Timothy B. Lee 177

Maria Sukhareva 175

Sarah Guo 170

Jack Clark 161

Jeremie Harris 146

Elad Gil 143

Lukas Biewald 140

Matt Turck 136

John Sherman 131

Sonya Huang 88

Celia Ford 72

Ranked by how many posts and episodes each person is credited on across this collection — writers by byline, hosts and guests from the transcript. These are the names to pitch, book, or watch.

What they're talking about — in each source's latest posts

recursive self-improvement ai safety artificial intelligence ai agents reinforcement learning ai alignment open-weight models large language models ai governance artificial general intelligence model distillation generative ai us-china ai competition existential risk ai alignment research data center infrastructure frontier ai models scaling laws chain of thought agentic workflows ai safety policy openai autonomous agents voice agents effective altruism reward hacking mechanistic interpretability model fine-tuning machine learning ai extinction risk

Who advertises here — active in the last 90 days

Claude Playbook Pro AI Box Tasklet The Transmitter Notion Jane Street 80,000 Hours Mercury Box Omnisend WorkOS ODSC AI Insense Factor AirOps Blitzy OutSystems Progressive ElevenLabs Granola Cursor Parallel LangFuse Athena Anthropic Deepgram Flux TTS Antithesis Google Chrome Skool

Brands read out in ad slots and sponsor mentions in these newsletters and episodes. This is the view that answers "where is my competition advertising?" — no other monitoring tool can see inside a podcast ad read.

More things people say here

“Look, the main reason GPT doesn't kill everybody is because it can't. Like simple as that. Even if it tried its hardest right now, it can't quite do it. It does...” Liron Shapira, Doom Debates!
“The reason why I think nobody's said the word AI winter for a couple of years, like after 2023, people are like, okay, this is a nice AI summer. We're probably...” Liron Shapira, Doom Debates!
“When the Center for the Geopolitics of AGI was launched two and a half or three years ago, it was such that we kind of had to whisper AGI for fear of being thou...” Joel Predd, The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
“We are very used today to NIMBY, not in my backyard, where powerful but concentrated interest groups managed to stymie projects despite their broad popularity....” Dwarkesh Patel, Dwarkesh Podcast
“Before I start a book, I think through what I want the book to be, the whole book. … You got to get it down to one sentence. Or three years from now, you're goi...” Robert Caro, Dwarkesh Podcast
“Behind his persuasion was the power. … When Johnson is talking to you and he puts his arm around you and he leans into you, it's not just the force of his perso...” Robert Caro, Dwarkesh Podcast
“Every once in a while, someone comes along who's sort of a genius, if that's the right word, at getting big things built for the public. Decades may pass when t...” Robert Caro, Dwarkesh Podcast
“These drag and drop workflow builders is a painful level of abstraction because it's too complex for non-technical users and it's annoyingly abstracted for tech...” Jake Stauch, No Priors
“It's a bit like national airlines. So countries will buy planes from Airbus and Boeing and then slap their logo on it. It doesn't make it like yours. It's still...” Nathan Benaich, The MAD Podcast with Matt Turck
“I do this with my students. I ask them, Do you think this is a real problem? These, for example, chatbots that are sycophantic. And they will all raise their ha...” Meia Chita-Tegmark, Future of Life Institute Podcast
“Show me the specification. Show me your specifications, the properties, what you have verified, right? Someone can formally verify my property is just true. It'...” Leo de Moura, The Data Exchange with Ben Lorica
“If I had to tell a story, I could tell a trillion stories of all the ways where we could stop. And whereas the doomers have to tell this like two, three, five s...” Zack Korman, Doom Debates!
“The real learning from the Ukraine-Russia war is probably not drones, no drones. It is about an innovation ecosystem. That is the actual wonder weapon. We alway...” Uwe Horstmann, Training Data
“I set up my 15, what I call the faceless toaster bots. I set up my email bot and then my CEO bot to manage them. I'm like, you're just larping as a CEO. You're...” Daniel Jeffries, The TWIML AI Podcast
“Hales invests 20 person years in formalizing his Kepler conjecture result. And at the end, all he gets out of it is assurance that the thing is correct. Now, th...” Kevin Hartnett, Machine Learning Street Talk
“I would rather, if somebody was going to send me an AI-written email, it go to an AI before going to me. Because I now signed up for the Pangram thing where you...” Nathan Lambert, Interconnects
“They still seem like pretty the most responsible lab, but that's rating on a curve. And I don't like rating on curve because reality doesn't have a curve. Reali...” Zvi Mowshowitz, The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
“So you'll often hear that plants are autotrophs. Plants are not autotrophs. Plants don't fix nitrogen. So they only exist in soils where the nitrogen fixing rem...” Eric Smith, The Trajectory
“We don't have a token leaderboard. We don't encourage it. We encourage people to focus on the output. They're not graded on if they used it. They're graded on w...” Dane Knecht, No Priors
“Previously on the internet, we would see these log4j moments or these shell shock type of incidents maybe once a year. And it would be all hands on deck interna...” Dane Knecht, No Priors
“If students don't write, they're not learning to think. And this isn't some moral thing about is it okay to use chatbots to write? ... They're not going to lear...” Sherry Turkle, Future of Life Institute Podcast
“A chatbot, after it tells you some story about its relationship with you, when you turn away from it, it doesn't care if you cook dinner or commit suicide.” Sherry Turkle, Future of Life Institute Podcast
“The challenge will be that the things that we most want to know about biology, they're not represented in text. And they cannot be derived from first principles...” Alex Rives, The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
“If you think as AI as a next big technology block that our entire society will rely on, it's really like electricity. You wouldn't want someone to be able to cu...” Pierre Stock, The MAD Podcast with Matt Turck

Where these numbers come from

Sources are hand-picked by us for this market. Post and episode counts are everything we have indexed for them, back to whatever archive the source publishes.
People and advertisers are everyone credited or heard on these sources in the last 90 days, ranked by every post they have appeared on here. Topics come from the 10 newest posts of each source, so every source counts equally.
A person is counted once per post, whether they wrote it, hosted it, or appeared on it as a guest. Podcast credits come from the transcript.
Everything on this page is a live query against the corpus.

Other collections

AI Builders Agency Business Alternative Proteins Art & Philosophy Bootstrapped & Indie SaaS Climate & Energy Crypto & Web3 Food & Beverage Geopolitics & World Affairs Hands-On Engineering Podcasts Health & Longevity Ideas & Essays In-Depth Interviews Laravel Ecosystem Marketing Media & Creator Economy Money & Markets Policy Product & Design Semiconductors & Chips Social Issues Software Engineering & Infra Startups & Venture Tech Criticism & Accountability Tech Strategy & Big Tech US Politics User Experience