Facebook, every mention
881 scenes, the whole family · ← back to Facebook
tap a year for its mentions
every year anyone Benedict Evans 236Chris Dixon 103Marc Andreessen 80Ben Horowitz 58Balaji Srinivasan 58Kyle Russell 57Connie Chan 48Anu Hariharan 46Erik Torenberg 44Michael Copeland 43
Verbatim, from the transcripts: the passages where Facebook comes up
Mark Cuban on the NBA, Cost Plus Drugs, and How to Fix Politics
- ▶ 21:05 Mark Cuban And I think I've talked to folks at Microsoft, Meta, and other places.
The Little Tech Agenda for AI
- ▶ 0:12 Matt Perault They're trying to build models that might compete with Microsoft or OpenAI or Meta or Google.
- ▶ 5:44 Matt Perault If they're trying to build models that might compete with Microsoft or OpenAI or Meta or Google, and that is unbelievably challenging in AI.
- ▶ 14:42 Matt Perault w I was at, um, Meta then Facebook starting in 2011 and through 2019.
Substack Cofounder on AI Slop Content & the Decline of Social Media
- ▶ 1:53 Katherine Boyle There were mass firings, um, you know, Twitter deplatformed a sitting president, um, you know, Facebook as well, right?
- ▶ 13:14 Chris Best Um, he said, you know, it's 2017, and your essay is about, you know, maybe the newspaper businesses are in trouble, and, like, maybe Facebook is not an unalloyed good.
- ▶ 16:48 Chris Best And then the thing that we realized not too long after that was the same was actually true about Twitter and about the social networks, which was, you know, in 2018, 2019, if you wanted to have a successful sub stack, you had to also have… 4 times in the scene
The Top 100 Most Used AI Apps in 2025
- ▶ 24:18 Justine Moore Um, which some could argue is now Facebook, which has largely been taken over by
Ben Horowitz Shares the a16z Origin Story & Plans for the Future
- ▶ 37:21 Erik Torenberg There's, or, you know, finding more of these and there's gotta be more of these thinking that over abstraction and then other over, you know, abstraction was around, um, sort of defending democracy, you know, cause Facebook somehow in… 6 times in the scene
The State of AI: Growth, Fragmentation, and the Next Wave
- ▶ 21:04 Martin Casado I mean, like with Meta and like Google, et cetera, and so kind of our view is, is you have to be very, very careful before you go into it, and there's a lot of companies you've never heard about that are in this space, right, um, that we…
Dylan Patel on GPT-5’s Router Moment, GPUs vs TPUs, Monetization
- ▶ 14:33 Dylan Patel You know, Meta's, Meta's upping hugely. 3 times in the scene
- ▶ 21:29 Dylan Patel I think that's the biggest thing, right, is, um, when we look at orders from Google and from, um, Amazon, right, especially their, and, and Meta, their custom silicon is, not, not Microsoft, their custom silicon kind of sucks, uh, but the… 2 times in the scene
- ▶ 27:56 Dylan Patel And maybe, maybe for certain workloads, like metaphor recommendation systems, they'll have a better, you know, they can specialize more. 2 times in the scene
- ▶ 40:08 Dylan Patel Given, you know, Meta's CapEx is like, sixty billion, right? 4 times in the scene
The Current Reality of American AI Policy: From ‘Pause AI’ to ‘Build’
- ▶ 21:23 Erik Torenberg You know, maybe we saw Meadow with maybe the first big open source push.
This Week in AI: GPT-5 Ships, 4o Pulled Back, Grok Imagine Goes Social
- ▶ 4:04 Olivia Moore They've done the AI characters you can talk to, and then uploading a photo to get an avatar where you can generate photos of yourself, but none of it felt quite right, I would say, in terms of baking into the core existing experience on,…
Steven Sinofsky & Balaji Srinivasan on the Future of M&A, AI & Tech
- ▶ 0:36 Erik Torenberg There's been the, you know, uh, meta, um, art scale.
- ▶ 12:33 Balaji Srinivasan And, um, and then you also have like a fuzzy set sort of thing where, for example, Google and Apple compete on operating systems and Google and Facebook compete on, uh, ads and Facebook and Apple compete on, 3 times in the scene
- ▶ 27:33 Balaji Srinivasan Uh, you know, Instagram was something where, at the time, Jon Stewart said, because Instagram had no revenue, right, at the time Facebook bought it. 4 times in the scene
- ▶ 37:13 Balaji Srinivasan So Facebook, it's like throwing fertilizer on, you know, thing to spring up a thousand competitors that, you know, all start attacking you, right?
- ▶ 44:23 Balaji Srinivasan FTC versus Meta is still going. 2 times in the scene
Dwarkesh Patel and Noah Smith on AGI and the Economy
- ▶ 2:16 Eric Vishria And so when Ilya or Mehta is using the word super intelligence, what, what do they mean?
- ▶ 1:09:26 Eric Vishria And if we as a pod, as podcasters encourage one researcher to join Meta, I mean, what's the, how do you put a price on that?
The Future of AI Video: How Fal.ai is Making AI Video Faster & Easier
- ▶ 28:47 unnamed speaker I don't know, Meta has like hundreds of people working on this stuff.
Tech vs. Media: Balaji Srinivasan on the Battle Shaping Our Future
- ▶ 0:00 Balaji Srinivasan We want to build Googles and Facebooks and, you know, AI and giant companies, giant cryptocurrencies, and now internet communities.
- ▶ 1:24 Balaji Srinivasan And then right after the financial crisis, it just suddenly collapsed over the course of like four or five years and Google went vertical and Facebook went vertical, right? 2 times in the scene
- ▶ 14:17 Balaji Srinivasan He is considered a person who is in charge of the company, and people don't just say, oh, Facebook has some policy issue. 2 times in the scene
- ▶ 20:06 Erik Torenberg But what's the difference in New York Times and Facebook?
- ▶ 22:28 Balaji Srinivasan And if you refresh meta.com, right?
- ▶ 22:31 Balaji Srinivasan Facebook.com, Instagram, what do you see? 2 times in the scene
- ▶ 24:15 Balaji Srinivasan We want to build Googles and Facebooks and, you know, AI and all this kind of stuff, drones. 2 times in the scene
- ▶ 26:28 Erik Torenberg They're quick to say, Hey, Facebook is causing people to be depressed or to whatever, turn right wing or, you know, uh, So, so tech, there's a causal effect for everything negative. 2 times in the scene
- ▶ 38:49 Balaji Srinivasan Alright, so this is from 2017, and the interesting thing is, it's the same on both Twitter and Facebook, right?
- ▶ 1:32:14 Balaji Srinivasan So they're like spying on Facebook. 2 times in the scene
Health Tech Founders: The Future of Care Is Personalized, Proactive—and AI-Powered
- ▶ 9:28 Daniel Reid Cahn It's not just like one, you know, you see a Facebook ad and that's it.
AI Content and the War for Your Attention
- ▶ 0:58 Antonio García Martínez I was an early member of the Facebook ads team back before the IPO when the ad system was horrible. 2 times in the scene
- ▶ 12:16 Chris Hayes Things are happening in private Facebook groups, signal chats, WhatsApp chats, like sort of try to re basically to kind of re reclaim a private space that's not public space, um, is one of the sort of bigger trends happening.
- ▶ 16:08 Chris Hayes Now, obviously WhatsApp, which Meta owns is, you know, incredibly valuable company. 2 times in the scene
- ▶ 30:37 Antonio García Martínez I mean, companies like Facebook that actually do have a first party relationship with the user often have better data for that reason.
- ▶ 33:54 Chris Hayes And if there's something after that, like what, basically what the next big thing is it, you know, what, what is, what is the next bite dance that, that does to TikTok, what TikTok sort of did to the incumbents and Facebook and stuff like…
- ▶ 39:39 Antonio García Martínez And I, I can see that the ad tech industry is completely rapacious towards the end of chaos monkeys, or I think in the like afterward that I wrote in the second edition or whatever it was, I mentioned that like Facebook is running out of… 2 times in the scene
Marc & Ben on the Collapse of Traditional Media - Podcasts, Politics & the New Media Playbook
- ▶ 1:09 Erik Torenberg Over the past couple of decades, you know, Facebook, Twitter, Substack, many others.
- ▶ 18:47 Marc Andreessen Um, and so that was when the narrative, you know, so sort of spring of 2017, so that was when the Facebook Cambridge Analytica narrative was really kicking in. 8 times in the scene
Tech Executives: AI Has Changed SaaS Forever (Don't Fall Behind)
America's Energy Problem: We Need A New Grid
- ▶ 20:24 David Ulevitch I mean, I think that Constellation just turned up a new nuclear reactor, or is reactivating a reactor, and I think Meta immediately sucked up all of the power that they're going to generate, or nine 10th of it, or something, um, from the,… 2 times in the scene
Crypto Experts Explain Stablecoins & the Future Financial System w/ Ali Yahya & Arianna Simpson
- ▶ 15:38 Erik Torenberg Another, it's funny, like, maybe Facebook was just a few years too early with the, if they, if they launched Libra in a more friendly regime, might that have worked? 3 times in the scene
- ▶ 27:52 Ali Yahya So this way you don't have to trust a centralized company, like, like say, like, uh, Facebook or like one of the kind of the social media companies that the machine learning model, that the AI model that they're running for the, for say,…
- ▶ 39:39 Arianna Simpson If you look at the Novi Libra, you know, it had seven different names, so whichever one you want to use, um, that was something that could have been incredibly interesting because you have, um, Facebook now, now Meta with such an enormous… 2 times in the scene
Building Cluely: The Viral AI Startup that raised $15M in 10 Weeks w/ Roy Lee
- ▶ 20:18 Erik Torenberg And I remember Ben Thompson had this post about Snap, where he said that Snap has a gingerbread strategy, where basically, you know, if they invent stuff, Meta is going to copy it.
Former Microsoft Executive on Apple’s Hidden China Problem
- ▶ 5:35 Erik Torenberg What, you know, we just saw Meta, uh, sort of, um, you know, purchase 49% of, 5 times in the scene
The State of Consumer Tech in the Age of AI
- ▶ 0:32 Erik Torenberg It seems like every few years there was a, there was a breakout starting from Facebook, Twitter, Instagram, Snap, WhatsApp, Tinder, TikTok.
- ▶ 1:50 Bryan Kim It's interesting that you asked that question because I was thinking about the past, what, 15 years, 20 years where, as you said, like Google, Facebook, Uber, all the, all the names. 2 times in the scene
- ▶ 8:26 Bryan Kim Facebook, Twitter, Snap. 3 times in the scene
- ▶ 18:46 Erik Torenberg Ben Thompson, I think a decade ago at this point, had this blog post called Snapchat's Gingerbread Strategy, where he was basically saying, hey, anything Snap can do, Facebook can do better, but Snap is just gonna keep sort of coming up…
Marc Andreessen Reveals His Biggest Wins and Mistakes at a16z
- ▶ 1:58 Marc Andreessen You know, Facebook was getting started. 3 times in the scene
- ▶ 3:04 unnamed speaker You, of course, have been on the board of Facebook for a long time. 6 times in the scene
- ▶ 5:32 Marc Andreessen Um, and then, right, and then as you know, um, you know, not only did Facebook grow really fast, but, um, you know, they figured out targeted advertising, and then, by the way, they went through the exact same crisis again, basically,… 6 times in the scene
- ▶ 9:27 unnamed speaker It, it's fascinating to imagine sort of, ah, alternative tech history, like, what if Yahoo had actually been able to, to buy, buy Facebook. 4 times in the scene
Where Crypto Meets AI with Chris Dixon & David George
- ▶ 24:14 David George Similarly, Facebook and Instagram created, you know, the feed-based advertisement that's, you know, very highly targeted.
- ▶ 28:11 David George Yeah, this is the thing that we're wrestling with right now in, in AI, because, you know, we've now gotten to the point where there's about a billion monthly active users of consumer AI applications, and this has grown significantly faster…
Hey Tech, Come to Healthcare
- ▶ 25:59 Daisy Wolf Um, but I said if you think about it from a first principles perspective, healthcare is 20% of the American economy, which is five times the size of the global advertising industry that sustains, you know, Google and Facebook and these…
How Andreessen Horowitz Disrupted VC & What’s Coming Next
- ▶ 41:38 Ben Horowitz Um, and you know, it's great because we were able, like, if you look at the top people, you know, if you look at Martine Cassato and Chris Dixon and Alex Rampell and David Ulovich and so forth, like that team is better, like IQ wise…
What Comes After Mobile? Meta’s Andrew Bosworth on AI and Consumer Tech
- ▶ 2:27 David George So in the case of, you know, Facebook early days for you, obviously you famously were part of the team that created the news feed, and that's a combination of, you know, social experience, you know, social media, a mobile experience,
- ▶ 2:27 David George So in the case of, you know, Facebook early days for you, obviously you famously were part of the team that created the news feed, and that's a combination of, you know, social experience, you know, social media, a mobile experience,
- ▶ 3:01 Andrew Bosworth The first one is I think if there was a thing that, that not me specifically, but I think me and my cohorts at Meta were really good at was like, we really immersed in like what the problem was.
Ben Horowitz on Leadership and Culture
- ▶ 15:26 Ben Horowitz Kind of come into the consciousness or kind of pervade the world really till the kind of mid 2000 when you, okay, now here comes Google and Facebook and now every consumer is all of a sudden using technology products. 2 times in the scene
Jensen Huang & Arthur Mensch: Why Every Nation Needs Its Own AI Strategy
- ▶ 34:12 Arthur Mensch And I think we, we did a good job at it because we, we started to release models and then Meta started to release models as well.
Building the Next Generation of Conversational AI
- ▶ 1:02:42 Ankit Kumar Uh, there's some from Meta, there's some from other research labs.
How to spot an AI Deepfake
- ▶ 6:41 Joel de la Garza We've seen without any generative AI, we've seen scams where people will text employees and pretend to be the CEO and either get them to buy gift certificates or in the case of like, you know, Facebook wire a lot of money to a third party…
Who Will Own the Internet? a16z’s Chris Dixon on AI and Crypto
- ▶ 24:40 Chris Dixon I mean, just, there's a whole bunch of, I mean, you had very loose analogs, like yearbooks and things, but nothing, you know, and that's actually kind of, if you look at early Facebook, it was more like a yearbook, but as it evolved into a… 2 times in the scene
- ▶ 38:17 David George Like you've talked about it as sort of, you know, Singo was built on top of Facebook.
What DeepSeek Means For The Future Of AI | Tech Veterans Weigh In
- ▶ 6:43 Steven Sinofsky Well, because you were Google and Meta and OpenAI funded by Microsoft, which all had like billions and billions of dollars.
- ▶ 21:00 Steven Sinofsky In the, in the early 2000 or the amount that Facebook invested five years later, or the, you know, people forget that Microsoft poured, I don't know, 30, forty billion dollars into Bing. 2 times in the scene
How AI is Reshaping Labor Markets: A $Trillion-Dollar Opportunity Explained
- ▶ 34:32 Alex Rampell Um, what's interesting is things like Uber or Facebook where 2 times in the scene
AI Is Becoming a Regional Race
- ▶ 17:04 Anjney Midha You know, he worked at DeepMind, or Guillaume Lomp, who led the initial Lama family at Meta, who are deeply mission-led and, and believe that they can help solve a bunch of these infrastructure problems for the world's largest governments.
The 2025 AI Search Race
- ▶ 11:36 Alex Immerman Uh, Google and Meta, I think they can be big players. 4 times in the scene
Marc & Ben on AI Policy, Safety, Censorship & Unexpected Risks
- ▶ 44:10 Ben Horowitz This all happened with, you know, Facebook and Twitter and whatever snap and everything after they had penetrated the world.
- ▶ 1:07:36 Ben Horowitz Like there's a real tension always in the U S and it's a, you know, there's some goodness to the tension and some badness, but there's always, you know, if you're running the public sector, um, and a private sector company gets extremely… 2 times in the scene
Truth Terminal - The AI Bot That Became a Crypto Millionaire
- ▶ 4:53 Marc Andreessen ChatGPT and Claude and, and, um, you know, uh, Grok from, from, from, from, uh, from Elon and Lama from Meta and so forth.
- ▶ 10:03 Marc Andreessen Um, and so anyway, so this, this guy, basically, Andy, Andy, Andy, you know, he started training, I think it was a customized version of, of Lama, so the seventy billion parameter of Lama, and, and so that's the sort of mid-sized model… 2 times in the scene
The Quest for Community-Trained Open Source AI Models
- ▶ 13:33 Jeff Schmidt We are in the open source world, at least, uh, very beholden to the goodwill of several organizations, and number one of them probably is Meta. 2 times in the scene
- ▶ 25:07 Jeff Schmidt OpenA, Anthropic, Meta, X, Google, and then you have a few Mistral, and then Deep Seek, um, and a couple of other places that are maybe like a specific country are like backing it, but certainly we would not, we could name them all and not…
- ▶ 52:36 Jeff Schmidt Other people can actually get access to the compute to do these, to do these studies, and if a bunch of people are like, hey, I want to try this weird, um, transfusion, which is a paper from Meta, which we're really excited about, um,…
- ▶ 53:48 Anjney Midha In, in a not so distant future where Meta decides, hey, it's just the regulatory risk is too high. 2 times in the scene
Why Human Data is Key to AI: Alexandr Wang from Scale AI
- ▶ 4:42 Alexandr Wang Many companies, uh, you know, Google, Anthropic, Meta, XAI now, um, you know, many, many companies have sort of also, uh, joined on this sort of race to scale up these models to, uh, to incredible capabilities.
- ▶ 10:30 Alexandr Wang This is before all this generative AI work, but there was, you know, um, at one point Meta did some research, uh, that utilized basically all the Instagram photo, all the public Instagram photos along with their, um, hashtags, uh, uh, to… 2 times in the scene
- ▶ 12:53 David George Yeah, GPU utilization for Facebook advertising. 2 times in the scene
- ▶ 15:00 Alexandr Wang So, so two things, um, A, if meta continues open sourcing, that puts a pretty strong cap as to the value that you can get from, um, from, uh, uh, from the model layer.
Mark Casey (Capital Group): Public Market and Macro Perspectives
- ▶ 2:26 Mark Casey You know, I looked at Netflix at 6:30 then, and Amazon at one 80, and Facebook at three 80, 2 times in the scene
- ▶ 20:55 Mark Casey You know, I think about those Ray-Ban glasses that Meta's making that has their Lama, ah, models in it and future AI models.
- ▶ 22:10 Mark Casey It's easy to say, you know, I really wish I had something like Facebook in my business.
Marc Andreessen on Inventing The Internet Browser (How We all Access the Internet)
- ▶ 1:12 Marc Andreessen It's what you get when you click through on a, on a, uh, on a, um, on a Facebook link or a Twitter link, Twitter link or something.
Zach Perret (Plaid) & Simon Khalaf (Marqeta): New Applications in Fintech
- ▶ 4:02 Simon Khalaf More distribution than Google and Facebook combined. 2 times in the scene
- ▶ 16:39 Simon Khalaf And now the machinery that Google, Facebook, and all the ad tech industry built to optimize on a click. 2 times in the scene
Marc Andreessen & Andrew Chen Talk Creative Computers
- ▶ 0:42 Andrew Chen Mark, I, I don't know if you, if you remember the first time we met, actually, uh, but we actually had a conversation about Zynga, you know, because it was during the, the whole Facebook platform.
- ▶ 10:39 Marc Andreessen And so, you take, like, somebody raised on, like, Walter Cronkite, and you, like, inject them onto Facebook, and, like, right?
- ▶ 20:35 Marc Andreessen Well, my favorite example is Facebook got just tons of, you know, it's just like this is the most trivial, stupid, useless, you know, thing that doesn't matter, you know, Facebook, there was almost a deal for Facebook to get bought by… 5 times in the scene
- ▶ 30:53 Marc Andreessen And, but you know, look, you know, Google and Facebook adapted to mobile just fine. 2 times in the scene
- ▶ 44:50 Marc Andreessen You know, the example of this, like, you know, Facebook, I told you the flip-flop story earlier, like, you know, Facebook's now in a position where Facebook's, you know, spending, you know, on the order of twenty billion dollars a year on…
The Future of Prosumer: The Rise of “AI Native” Workflows
- ▶ 4:47 Olivia Moore And so by that, I mean, there's lots of products, even we've seen Meta release one recently that's like generate an image.