Facebook, every mention
190 scenes, the whole family · ← back to Facebook
tap a year for its mentions
every year anyone Shawn Wang 89Nikhila Ravi 10Lin Qiao 9Ari Morcos 9Thomas Scialom 8Alessio Fanelli 8Vibhu Sapra 6Nathan Lambert 6Mark Huang 6Jeremy Howard 6
Verbatim, from the transcripts: the passages where Facebook comes up
Orbs: Shifting Coding to Cloud — Quinn Slack, Amp Code
- ▶ 3:39 Shawn Wang At the time, that was how, it's just like a reflection of like, even pre-AI people at large companies like the Facebooks and the Googles and, uh, the Ubers of the world, they all had, uh, setups where you would mostly SSH into a machine or…
Simulating Humanity: from Generative Agents to 8 Billion Digital Twins — Joon Sung Park, Simile AI
- ▶ 37:18 Shawn Wang All of LinkedIn, all of Twitter, all of Facebook. 3 times in the scene
🔬They Thought the Model Was Broken — Matt McPartlon & Neil Patil, Chai Discovery
- ▶ 5:38 Matt McPartlon And like, I had seen early signs of life in my work and our CEO, Josh, like he, he was on the original ESM papers on that team and Meta, and he was seeing like pretty early signs of life that like, you know, there might be scaling laws…
🔬 RL with Verifiable Rewards, but the Verifier is a Lab — Lila Sciences
- ▶ 4:59 Rafa Gomez-Bombarelli And that's the reason why, you know, Meta and DeepMind and Microsoft, they have teams doing
- ▶ 1:37:52 Rafa Gomez-Bombarelli She and I, we both come from doing physics-based simulations, and the fact that she called out something that had no simulations in it whatsoever, it's kind of admitting the same underlying issue, which is like all this, you know, Meta has…
The Future of AI Infra: from Kubernetes to Agent Sandboxes — Akshat Bubna, Modal CTO
- ▶ 11:18 unnamed speaker But like then, so, I mean, okay, like now talking to myself three years ago, the answer is collect all the failures, build benchmark, and then collect all the, you know, examples, build an aural environment, sell it for like ten billion…
🔬 "The Most Innovative Diffusion Research Is Happening in Drug Discovery, Not Image Generation"
- ▶ 1:32 Sergei Yudinov So I jumped in on ML, and I did a lot of AI research, being a part of their team in, in Facebook, ah, for quite a while.
- ▶ 20:36 Evan Feinberg Sergei is being humble, but Sergei led the LLAMA II research team at, at, at Meta when, when, when he was still there.
- ▶ 1:44:06 Evan Feinberg Customer like a meta or something.
The Blueprint for Autonomous Work Agents | Gavriel Cohen, NanoClaw
- ▶ 0:36 Gavriel Cohen I was actually on vacation, like, taking my first weekend off since, uh, putting Nanoclaw out there, and finally took two days off at a nice hotel with my wife, and then, uh, I think it was Friday night, I was just scrolling on X, and I… 2 times in the scene
🔬 The Limits of AI in Science - Why We Need Self-Driving Labs — Joseph Krause, Radical AI
- ▶ 22:14 Joseph Krause You see people like Google DeepMind, Microsoft, other places like Meta, either building their own lab or running experiments at someone else's lab to get that data back.
Scaling Past Informal AI - Carina Hong, Axiom Math
- ▶ 3:29 Carina Hong And everyone knows they're working on coding, like OpenAI, Meta, Accent.
- ▶ 29:05 Carina Hong It was, um, rolled out, I think, by, um, Berkeley and Meta researchers in 25, and they found, I think, whatever version of GPT they evaluated does, like, pass one, like, 3.6%.
- ▶ 33:40 Carina Hong Like, like, I want to highlight the work mutation based, you know, LM unit test generation by XMCTO Shubo and he was a director of Facebook AI research.
- ▶ 33:40 Carina Hong Like, like, I want to highlight the work mutation based, you know, LM unit test generation by XMCTO Shubo and he was a director of Facebook AI research.
- ▶ 1:17:17 Carina Hong Like, I, it's really, really crazy, like, at a time where I remember the obsession was quite, I just couldn't get out of it, and then, um, I went to this Knight Hennessy event, Knight Hennessy Scholar Denning House, like, hosts all sorts… 2 times in the scene
Inside xAI: Building Grok Imagine in 3 Months, Videogen vs World Models, and Video Agents— Ethan He
The Agent-Native Cloud: 3M Users, 100K Signups/Wk, Data Centers, & Death PRs — Jake Cooper, Railway
- ▶ 55:47 Jake Cooper And I think, like, you know, a lot of the early meta folks have talked a lot about, like, focus, right? 2 times in the scene
- ▶ 1:06:29 Jake Cooper The problem that, uh, there's a paper that Meta released, uh, X F A A S. 2 times in the scene
- ▶ 1:15:54 Jake Cooper There's a thing that like, Facebook has gatekeeper. 2 times in the scene
⚡️ Competing with ChatGPT and Sierra, building a $10M ARR company — Yasser Elsaid, Founder, Chatbase
- ▶ 16:18 unnamed speaker You get access to Deep Seek, Meta, Moonshot, and up here somewhere it also mentions, 24 hour fine tuning.
- ▶ 23:20 Yasser Elsaid Like, the UN is using us right now on their Facebook, um, messenger.
Marc Andreessen introspects on Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different"
- ▶ 4:13 Marc Andreessen I've been working with one of my, you know, kind of projects working with Facebook since 2004, um, and on the board since 2007. 3 times in the scene
- ▶ 20:14 Marc Andreessen It was like a new venture, but like the money that's being deployed now at scale is Microsoft and, you know, and Amazon and Google and Facebook and NVIDIA and, you know, these, these, these, and now, you know, by the way, OpenAI and…
- ▶ 41:02 Shawn Wang I was gonna say for someone who is deeply familiar with social networks, the next step is your claw talking to my claw, posting on claw Facebook, uh, posting their jobs on claw LinkedIn and close to posting their tweets on claw XAI or…
- ▶ 55:58 Shawn Wang Which by the way is a Facebook thing. 2 times in the scene
Moonlake: Interactive, Multimodal World Models — with Chris Manning and Fan-yun Sun
- ▶ 20:06 unnamed speaker At least developed at scale and meta, but it's not just vision, right?
The Stove Guy: Sam D'Amico Shows New AI Cooking Features on America's Most Powerful Stove at Impulse
- ▶ 9:20 Sam D'Amico I was working at Meta at the time, or I guess Facebook, it was called Facebook back then. 2 times in the scene
Mistral: Voxtral TTS, Forge, Leanstral, & Mistral 4 — w/ Pavan Kumar Reddy & Guillaume Lample
- ▶ 38:05 Guillaume Lample So, me and Tim were at Meta, we released Lama, and I think what was really nice to see that before this, for most researchers, like universities, it was impossible to, to work on LLNs.
🔬There Is No AlphaFold for Materials — AI for Materials Discovery with Heather Kulik
- ▶ 33:16 Heather Kulik Um, for sure, Microsoft, Meta, those, those ones are, are kind of like the companies that have basically infinite resources, and as an academic, I don't have infinite resources, you know, but we have an interest in problems that, you know,…
Agent Inference at the "Speed of Light" — How NVIDIA moves like a $4.3 Trillion Startup
- ▶ 20:56 Kyle Kranen Uh, the common models like deep learning recommendation model, which came out of meta and the wide and deep model, which was used, uh, or it was released by Google were very accelerated by GPUs using, you know, the fast HBM on the chips,…
- ▶ 33:35 unnamed speaker They're trained in such a sparse way that Meta knows there's going to be a bunch of inference done on these, right? 2 times in the scene
Cursor's Third Era: Cloud Agents — ft. Sam Whitmore, Jonas Nelle, Cursor
- ▶ 27:30 unnamed speaker Uh, and you know, I, I like, I have many friends in Facebook and like, I, I'm pretty friendly with Graphite.
⚡️ Polsia: Solo Founder Tiny Team from 0 to 1m ARR in 1 month & the future of Self-Running Companies
- ▶ 10:08 unnamed speaker Create a landing page for my business and collect emails and leads and run meta ads for it.
Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
- ▶ 39:49 Shawn Wang But I will also say like, uh, you know, don't discount Meta compute spend, don't discount XAI compute spend, and don't discount DeepMind compute spend, uh, all of which you have
Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis
- ▶ 1:27:17 Doug O'Laughlin I think Meta will go to free cash with zero.
Inside AI’s $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z
- ▶ 15:20 Shawn Wang Like, I don't know if we'll see that again, because Meta built the team. 3 times in the scene
⚡️ Prism: OpenAI's LaTeX "Cursor for Scientists" — Kevin Weil & Victor Powell, OpenAI for Science
- ▶ 3:18 Victor Powell I left Meta about three years ago, um, trying to look for various different projects to start, uh, and, uh, this was, this was one that, like, when I sort of presented it to people, they're like,
Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay
- ▶ 1:28 unnamed speaker Trying to triangulate Amazon as an AGI team, you guys have an AGI team, and then let's say Meta now has a super intelligence team.
- ▶ 1:02:08 unnamed speaker Second, let's call it the Jan Lekun slash meta school of thought, which I don't know if you're that familiar with it. 2 times in the scene
Artificial Analysis: The Independent LLM Analysis House — with George Cameron and Micah Hill-Smith
- ▶ 45:13 Micah Hill-Smith It is the, it is the best model released by Meta.
[State of Evals] LMArena's $1.7B Vision — Anastasios Angelopoulos, LMArena
- ▶ 11:11 Anastasios Angelopoulos For example, they will, they cited that Meta at some point tested some amount of models with us.
Steve Yegge's Vibe Coding Manifesto: Why Claude Code Isn't It & What Comes After the IDE
SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
- ▶ 1:48 Nikhila Ravi I'm a researcher at META. 4 times in the scene
- ▶ 17:18 Nikhila Ravi And I think from, maybe just to add to that, from like meta side, like we don't usually get as much visibility into all of these real world use cases.
- ▶ 1:03:17 Joseph Nelson So in addition to the meta team building a tremendous playground for being able to interact with images and video and kind of apply effects with like a video emphasis, I think one of the things that we're pretty excited about with SAM…
AI to AE's: Grit, Glean, and Kleiner Perkins' next Enterprise AI hit — Joubin Mirzadegan, Roadrunner
- ▶ 2:02 Shawn Wang The Facebook will just be a funding mechanism for the greatest bio research work done in human history.
- ▶ 49:38 Joubin Mirzadegan AJ went to Robin Hood, Eugene went to Meta, they went to NASA together, built a bunch of the software for the rover, the Mars rover.
The Future of Email: Superhuman CTO on Your Inbox As the Real AI Agent (Not ChatGPT) — Loïc Houssier
- ▶ 28:20 Shawn Wang Is it Facebook, uh, Tech?
World Models & General Intuition: Khosla's largest bet since LLMs & OpenAI
- ▶ 1:38 unnamed speaker As you saw on our Fei-Fei Li and Justin Johnson episode with World Labs, and with the recent departure of Yan Le-Kun from Meta, there's a lot of interest in world models as the next frontier after LLMs to improve on spatial intelligence…
- ▶ 29:16 unnamed speaker Maybe Meta has a similar dataset because of the Quest. 4 times in the scene
After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
- ▶ 2:14 Fei-Fei Li So, he was my, one of my very best students, and, uh, and then he went on to have a very successful early career as a professor in Michigan, University of Michigan Ann Arbor in Meta, and then when we, um, I think around, you know, more…
Anthropic, Glean & OpenRouter: How AI Moats Are Built with Deedy Das of Menlo Ventures
- ▶ 1:11:20 Alessio Fanelli And so it's like, okay, well, the amount of money being spent in this space is large enough to justify betting, like the same way Instagram was like one percent of Facebook market cap.
- ▶ 1:18:49 Shawn Wang Facebook was spending a lot of money.
⚡ Inside GitHub’s AI Revolution: Jared Palmer Reveals Agent HQ & The Future of Coding Agents
- ▶ 30:32 unnamed speaker Anyone who's interacted with anyone at Facebook knows about Fabricator. 3 times in the scene
⚡️ The State of AI Engineer Hiring: Cheating, AI Adoption,Junior Devs — Vivek Ravisankar, HackerRank
- ▶ 29:38 Vivek Ravisankar And, and if you have the meta label, you, you got to probably pay five million dollars. 2 times in the scene
Priscilla Chan and Mark Zuckerberg: Frontier AI + Virtual Biology To Solve All Diseases
- ▶ 10:28 unnamed speaker Uh, says he's a biologist, but you know, I think he's using models like Sam from, from Meta. 2 times in the scene
How Zyphra went all-in on AMD + Why Devs feel faster with AI but are slower — with Quentin Anthony
- ▶ 51:41 unnamed speaker I was at the meta event and like, I tried the glasses with the screen on
- ▶ 53:38 Quentin Anthony Given a new model that comes out, like, uh, Meta just came out with what?
⚡️ Ship AI recap: Agents, Workflows, and Python — w/ Vercel CTO Malte Ubl
Why RL Won — Kyle Corbitt, OpenPipe (acq. CoreWeave)
- ▶ 58:23 Shawn Wang Yeah, and did you see the meta-code world model work? 5 times in the scene
⚡️Raising $1.1b to build the fastest LLM Chips on Earth — Andrew Feldman, Cerebras
- ▶ 8:20 Andrew Feldman Meta has benefited from.
- ▶ 25:43 unnamed speaker Uh, with Zuck and Alexander Wang, and, like, we talked a little bit about, like, the, the, the meta's doing.
A Technical History of Generative Media
- ▶ 11:59 Gorkem Yurtseven And no one at Meta, no one at Google had run this in production.
- ▶ 31:40 Batuhan Taskaya Like the, in general, like what the other lab, because if you look at XAI, if you look at Meta, if you look at OpenAI, if you look at Google, they all have really good image models.
Better Data is All You Need — Ari Morcos, Datology
- ▶ 2:11 Shawn Wang You were at Meta as a research scientist.
- ▶ 24:28 Ari Morcos Meadow's also being sued over books three. 6 times in the scene
- ▶ 33:35 Ari Morcos And this is just like a fundamental thing that I saw at Meta, I saw at DeepMind, and I've heard at all these other places. 2 times in the scene
- ▶ 1:00:49 Ari Morcos So, so it's funny, Jonathan actually interned with me when I was at Meta.
The AI Agenda: GPT5 leaks and the business of AI News — Steph Palazzolo, The Information
- ▶ 15:16 Shawn Wang Uh, the next one is Meta. 18 times in the scene
- ▶ 18:11 Shawn Wang So we're, we're recording this the day after Facebook had their earnings report and Mark, uh, put this like personal letter, which is very inspired by Nat Freeman. 3 times in the scene
The RLVR Revolution — with Nathan Lambert (AI2, Interconnects.ai)
- ▶ 2:28 Nathan Lambert It's like it matches or beats meta on these core valves. 2 times in the scene
- ▶ 1:13:06 Shawn Wang Well, the last question I was saving up was this whole, uh, what, what is Meta doing? 8 times in the scene
🕰️ The Oral History of Windsurf (ft. Varun Mohan, Scott Wu, Jeff Wang, Kevin Hou, Anshul R)
- ▶ 1:38:15 Varun Mohan It previously was, was being leased by, I think Facebook slash WhatsApp.
- ▶ 1:58:07 Shawn Wang That's how it is at most companies, most like big calls, like Facebook, like nobody runs things locally.
AI is Eating Search
- ▶ 7:53 Robert McCloy Because of Meta's distribution and reach.
⚡️Ranking Agentic LLMs — Pratik Bhavsar, Galileo
- ▶ 10:00 Shawn Wang You mean Meta, right? 3 times in the scene
Personalized AI Language Education — with Andrew Hsu, Speak
- ▶ 38:59 Andrew Hsu So we, we have for English only right now, a pronunciation coach that is basically like a fine-tuned version of WaveDeVec, which is a meta model, but we basically fine-tune it on a bunch of our own phonetic transcripts, like fine-tuned…
AI Video Is Eating The World — Olivia and Justine Moore, a16z
- ▶ 46:06 Justine Moore Well, the AI like furniture, I don't know if you guys have seen, especially on Facebook, actually AI furniture, like totally blows up. 2 times in the scene
The Shape of Compute (Chris Lattner of Modular)
- ▶ 43:01 Shawn Wang Um, I, I don't know how to make this happen, but like, I think you win when Mistral, Meta, Deep Seek, and Quinn adopts you and like ship you natively, right?
⚡️Multi-Turn RL for Multi-Hour Agents — with Will Brown, Prime Intellect
- ▶ 22:40 Will Brown I'm not, I'm not in the business of trying to point the finger at like saying they definitely did this, but if I was a company that was able to raise it, that kind of valuation, and I had just had a long public partnership with Meta, or… 2 times in the scene
The Rise and Fall of the Vector DB category: Jo Kristian Bergum (ex-Chief Scientist, Vespa)
- ▶ 8:40 Jo Kristian Bergum It went from these big tech companies like Google, Yahoo, Facebook, all of them, you know, been working on embeddings for a long time for a lot of different tasks, right?
The Creators of Model Context Protocol
The Agent Network — Dharmesh Shah, Agent.ai + CTO of HubSpot
- ▶ 1:33:29 Shawn Wang There are video understanding models that have come out from Meta, but the easiest one by far is going to be Gemini. 2 times in the scene
Snipd: The AI Podcast App for Learning — with CEO Kevin Ben-Smith
- ▶ 3:14 Kevin Ben-Smith Facebook is doing a lot in reality labs.
- ▶ 31:20 Kevin Ben-Smith No, it was a Facebook, Facebook one.
Bee AI: The Wearable Ambient Agent
- ▶ 4:26 Ethan Sutin It was way premature, but it was when Zuckerberg went up on F eight and yeah, M and like the messenger platform, people like, oh, bots are going to replace apps.
- ▶ 4:26 Ethan Sutin It was way premature, but it was when Zuckerberg went up on F eight and yeah, M and like the messenger platform, people like, oh, bots are going to replace apps.
- ▶ 47:47 Ethan Sutin And if you look at the Meta Ray-Bands where they're way more successful, they, they look almost indistinguishable from a Ray-Band and they invested a lot into that. 3 times in the scene
smol agents are all you need
- ▶ 13:36 Aymeric (Emmerich) Oh, Meta's just submitted.
The AI Architect: Bret Taylor
- ▶ 48:07 Bret Taylor Facebook in the very early days and when, when, what is now react was being created.
- ▶ 1:05:09 Bret Taylor Facebook, we had an office in Palata.
- ▶ 1:08:36 unnamed speaker And, uh, you know, you were the CTO of Facebook, you built open graph there. 2 times in the scene
- ▶ 1:27:30 unnamed speaker So, you know, you were co-CEO of Salesforce, you were CTO of Facebook.
The Agent Reasoning Interface: Claude, ChatGPT Canvas, Tasks, Operator — with Karina Nguyen, OpenAI
- ▶ 54:53 Shawn Wang I want a Facebook marketplace bot that just scrolls Facebook marketplace for free stuff. 2 times in the scene
The State of Reasoning — from Nathan Lambert, Interconnects/AI2 [LS Live @ NeurIPS 2024]
- ▶ 3:10 Nathan Lambert I did an interview with Ross Taylor, who was a reasoning lead at meta, which I thought was a very.
2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- ▶ 14:50 Shawn Wang Like, I think most people are basically saying that they only use four or five B as a teacher model to distill down to something, even Meta is doing it. 3 times in the scene
- ▶ 31:54 Shawn Wang This is the schedule free optimizer paper from Meta from Aaron DeFazio.
page 1 of 2 · 100 scenes per page · newest episode first next →