Meta Platforms, every mention
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tap a year for its mentions
every year anyone Nathan Benaich 12Spencer Kimball 4Matt Turck 3Peter Fenton 2Mathew Lodge 2Chris Dixon 2Mike Volpi 1Jon Hyman 1Joe Reisinger 1James Gutierrez 1
Verbatim, from the transcripts: the passages where Meta Platforms comes up
Benedict Evans: OpenAI’s Moat Problem & the Future of Software
- ▶ 2:30 Benedict Evans But the question with LLMs is, like, they're very expensive and very hard, and so you can kind of fail to get onto the ladder or fall off the ladder for like Microsoft on the one hand and Meta for the meantime on the other hand.
Dylan Patel: NVIDIA's New Moat & Why China is "Semiconductor Pilled”
- ▶ 40:09 Dylan Patel And you know, then you add on Gemini and Meta claims
Understanding Data Engineering in 2025 | Ben Rogojan, Seattle Data Guy
- ▶ 40:15 Ben Rogojan (Seattle Data Guy) You can just have one data store, uh, and then pick which, uh, data compute engine you want to use, which is actually something that Facebook, when I, when I was leaving was already doing, they had kind of an HDFS sort of, uh, under layer…
What You MUST Know About AI Engineering | Chip Huyen, Author of “AI Engineering”
- ▶ 1:07:34 Chip Huyen Because we have people like on the one-sided spectrum, like Yang Le-kun from Meta, who's incredible scientist, but he also, he also said that's like LLM, like autoregressive LLM just cannot plan.
State of AI 2024: Frontier Models, AI Geopolitics, Robotics | Nathan Benaich, Air Street Capital
- ▶ 14:19 Nathan Benaich Um, and basically like the chart shows that from the launch of Metaverse, like companies saying we're going to invest, I don't know how many bajillion dollars in Metaverse to basically we're going to stop doing Metaverse when the stock… 10 times in the scene
- ▶ 33:44 Nathan Benaich Um, in that sense, it's been pretty amazing to see, like, the positive reception from Meta's glasses and also from the, uh, the recent Orion product. 2 times in the scene
Superintelligence, Bubbles And Big Bets: AI Investing in 2024 | Matt Turck & Aman Kabeer, FirstMark
- ▶ 39:46 Matt Turck And, and, and where you are in the stack, but certainly from a frontier model perspective, the fact that, uh, you know, Meta is putting all its weight behind, um, something like Llama four, uh, has to be frightening.
Diffblue’s AI Testing Paradigm Shift — CEO Mathew Lodge Explains How Code Writes Itself
- ▶ 23:46 Mathew Lodge If you look, you look at what some of the very, very large companies do, like, uh, you look at what Meta does. 2 times in the scene
A Cloud SQL Database Built for Survival | Cockroach CEO & Co-Founder, Spencer Kimball
- ▶ 49:39 Spencer Kimball Facebook has hundreds of thousands, maybe millions of shards of MySQL now, and they've, they've gone and implemented a meta database using MySQL as sort of the, the per node, ah, you know, constituent, and it blends all those together into… 4 times in the scene
Harnessing AI to Make Video Creation a Breeze | Runway’s Cris Valenzuela
- ▶ 0:09 Cris Valenzuela Um, and what Runway basically does is, um, we help companies like CBS, Assembly, Google, Red Lab, Facebook, VaynerMedia, Vox, RGA, and countless other companies create better video content faster and literally at a fraction of the cost…
Fireside Chat: Bindu Reddy (Founder & CEO, Abacus.AI) with Matt Turck (Partner, FirstMark)
- ▶ 7:12 Bindu Reddy So if you look at a company like Google or Facebook, almost all of their models, like, 95% of their models are neural net based.
Fireside Chat: Jack Hanlon (VP Data, Reddit) with Matt Turck (Partner, FirstMark)
- ▶ 17:52 Jack Hanlon You know, you can see the type of research that comes out of it, but also, you know, Google, Facebook, Microsoft, and OpenAI all used Reddit's data to train their conversational AI models.
Fireside Chat: Mike Volpi, General Partner, Index Ventures (FirstMark's Data Driven NYC)
- ▶ 11:40 Mike Volpi So if you look at the latest announcement from Google or from, uh, Facebook or from, uh, Microsoft, sorry, they, they have, um, uh, Confluent running in the cloud, the original version, they have Redis, they have Mongo, they have Elastic…
Fireside Chat: Chris Dixon, General Partner at Andreessen Horowitz (FirstMark's Data Driven)
- ▶ 10:58 Chris Dixon Um, and so, you're right, they just got, they got bought by Facebook as, as, uh, part of their messenger strategy, so we didn't really get to see that play out.
- ▶ 17:11 Chris Dixon Apple's doing stuff, you know, um, Google and Facebook, and so I think it's going to get there.
Data Pipelines at Braze // Jon Hyman, Braze (FirstMark's Data Driven)
VC Fireside Chat // Rebecca Lynn, Canvas Ventures (FirstMark's Data Driven)
- ▶ 12:11 Matt Turck So, so you'll hear some, some people say they want to completely stay away from horizontal investments because ultimately that's what, you know, Google and Facebook and Amazon are going to want to do.
A Fireside Chat with Benchmark General Partner Peter Fenton (Data Driven NYC / FirstMark)
- ▶ 1:05 Matt Turck Time, uh, because, um, so first of all, on the same day, you had, uh, I, I read, two companies that got acquired a few years ago, so it was Spring Source by VMware, and, uh, FriendFeed by Facebook, so the same day.
- ▶ 30:26 Peter Fenton Um, and I'm really intrigued by all this stuff, because you say, okay, well, it's not, not fair that Google and Facebook get to monopolize the market on machine learning, so let's, let's put the science, the PhD work from the great… 2 times in the scene
James Gutierrez, Insikt // Data Driven #27 // May 2014 (Hosted by FirstMark Capital)
- ▶ 13:48 James Gutierrez Um, so the, the jury's kind of out as to what data you can actually use, if it's, let's say, Facebook data, ah, you know, ah, for your, your actual decision to decline somebody, ah, and so I think there's still gonna be a lot of policy…
Joe Reisinger, Premise // Data Driven NYC 21 // Dec 2013 (Hosted by FirstMark Capital)
- ▶ 29:10 Joe Reisinger We're looking at, like, you know, integrating with Facebook platform, like, getting, you know, getting our data published, like, doing kind of like a,