Facebook, every mention

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Verbatim, from the transcripts: the passages where Facebook comes up

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▶ 29:01 George Sivulka Uh, it was first coined in a paper in March of 2020 by a bunch of Facebook researchers.

▶ 23:18 Benedict Evans And Gemini's the same, you know, and Meta.
▶ 24:44 Matt Turck Um, and she was Fiji Sibawa, who was, uh, also previously at, uh, Facebook doing very, yeah, previously.
▶ 30:44 Benedict Evans So, you know, there's make it a commodity, which is Amazon and Meta strategy. 2 times in the scene
▶ 38:52 Benedict Evans This is why Google and Meta didn't launch their own
▶ 40:35 Benedict Evans And it's interesting, you look at or listen to the conference calls, you know, and I'm sure you've done the chart, you've missed the chart of the CapEx, where like, Google, Meta, um, AWS, not Amazon overall, AWS only, and, um, and, and, um, 4 times in the scene
▶ 42:41 Matt Turck So we, we, uh, in our little, uh, tour, so we talked about, um, Apple, we talked about Google, we talked about AWS, we, we touched upon Meta, uh, a few minutes ago. 4 times in the scene
▶ 50:53 Benedict Evans Um, which the Meta has been talking a lot about lately.
▶ 51:45 Benedict Evans It's funny, you know, the, um, have you been following the, the, the EU, um, ruling against Meta? 6 times in the scene
▶ 52:07 Benedict Evans Which, I'm going to say this as fairly as possible, is you should have an option to use Facebook without having ads that are based on what you're interested in.

▶ 45:21 Aaron Levie There's other breakthrough models, you know, emerging, um, from, from Meta, from, uh, from XAI.
▶ 47:08 Aaron Levie Meta and Amazon and those guys.

▶ 0:21 Matt Turck Prior to co-founding Fireworks, Lin had an illustrious career at places like IBM Research, LinkedIn, and Meta. 2 times in the scene
▶ 2:47 Matt Turck Maybe a few words on your story, your background, in particular, uh, you were one of the key people, uh, on PyTorch, uh, at, uh, Meta, or Facebook at the time? 6 times in the scene
▶ 7:04 Lin Qiao Data centers, or Mada owns its own data center, but also mobile phones. 2 times in the scene
▶ 15:15 Matt Turck Talking about, um, uh, how incredible an impact, uh, FAIR, Facebook, Meta have had on the AI ecosystem. 5 times in the scene
▶ 16:17 Matt Turck How did your experience at, uh, Meta 4 times in the scene

▶ 37:29 Matt Turck Another, uh, great contribution by, uh, Meta and Facebook to the, to the AI world. 6 times in the scene

▶ 12:10 Matt Turck And you mentioned Android, but that, that was your next stop, uh, when you joined Facebook, you joined the Android team?
▶ 12:16 Amjad Masad Yes, so, um, I was inspired by a lot of the open source work that, uh, Facebook was doing, like, around React.js, and I was very early to that, but I was also inspired by, uh, Zuck's vision for internet.org. 3 times in the scene
▶ 17:36 Amjad Masad And then I was like, my time at Facebook was coming to a natural end.
▶ 19:16 Amjad Masad So we, we, you know, we try to get into YC, even before I quit my job at Facebook, because that's,
▶ 30:45 Amjad Masad So as part of my work at both Facebook and Code Academy, I worked in compilers and interpreters, and there are very, you know, kind of finicky programming exercise.
▶ 1:16:59 Amjad Masad Like, even if you generate Facebook, you know, you're gonna have to get a billion users, right?
▶ 1:28:02 Amjad Masad Uh, bringing fast Facebook back, or meta back to the hacker culture, uh, and, um, and reversing a lot of the sort of identity-based hiring and identity-based, um, uh, sort of, uh, uh, promotions and, and all of that stuff.

▶ 7:51 Justin Borgman Back then it was called Presto, and it was coming out of Facebook. 5 times in the scene
▶ 10:41 Matt Turck And the whole Presto to Trino, uh, kind of evolution was partly because at some point Facebook, uh, said, no, this is our open source project. 5 times in the scene

▶ 4:04 Ben Rogojan (Seattle Data Guy) And then eventually did that at Facebook as well, data engineering.
▶ 8:29 Ben Rogojan (Seattle Data Guy) Um, some companies do, uh, have maybe the ML engineers access data more directly from maybe the data warehouse, which was things I saw like at Facebook.
▶ 12:58 Matt Turck And so you, you worked at Facebook, um, and you also wrote in one of your posts about the reality, uh, of data engineering at companies outside of Silicon Valley.
▶ 25:16 Ben Rogojan (Seattle Data Guy) If you can do that beforehand, you know, just what I do, what we do at Facebook is we would do, um, just like every six months, we would go around and talk about and talk to our partners.

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