Facebook, every mention

17 scenes (2017), the whole family · ← back to Facebook

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

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▶ 2:09 Mayur Thakur Ok, ah, the third one is, ah, surprising relationships in social networks, which is, um, think of your Facebook network, and, you know, imagine, ah, actually, let, let's take me for example, right? 2 times in the scene
▶ 5:09 Mayur Thakur So imagine this was the actual Facebook graph. 2 times in the scene
▶ 12:16 Mayur Thakur Not quite Facebook scale, but not small either.

▶ 5:32 Auren Hoffman So this is the course, the core struggle for almost every single company, except for maybe Google, Facebook, Amazon, Tencent, that has to deal with all these, these types of issues.
▶ 12:03 Auren Hoffman It's, unless you're Google, Facebook, Amazon, Tencent, a couple of others, you have a very small sliver of what's happening in the world.

▶ 1:56 Christine Hung You probably have music in the background when you are tweeting, when you're on Facebook.

▶ 7:46 Bradford Cross And so now we're all worried about the Russians hacking the election and everything, because basically everyone gets their content from Facebook, and the Facebook newsfeed ranking algorithm controls the vast majority of, like, what people… 3 times in the scene
▶ 19:34 Bradford Cross Um, in fact, they're mostly all at Google and Facebook. 4 times in the scene
▶ 25:47 Bradford Cross I also have a data network effect, um, and I think there's loads of these types of opportunities in, in enterprise software, um, or in SaaS software, where, where you're getting kind of the B to B scenario, right, where you're using the…

▶ 4:37 Omar Tawakol While they're opening their laptops, email notifications, text notifications, Facebook notifications, you are literally 20 IQ points dumber when you are multitasking, and everybody's multitasking, and that's the problem.
▶ 16:36 Omar Tawakol Um, my co-founder ran the applied AI group for Facebook reporting to Jan LeCun in, in Palo Alto, so he brought in engineers from LinkedIn, from Apple, from Google, uh, from Amazon, uh, so it's pretty heavy, uh, kind of machine learning… 2 times in the scene

▶ 6:18 Stan Christiaens And three, and this is a belief of me that could be wrong, is that actually the big tech firms, Amazon, Facebook, Google, Microsoft, and all the others, they're using AI and machine learning as their next feature war.

▶ 6:44 unnamed speaker Uh, there's saturation, and so sort of trying to re-imagine advertising, the, the, the sort of ROI in advertising that digital marketers brought through Google and Facebook.
▶ 39:04 unnamed speaker You gave all that information to Facebook, and because you're getting some sort of service out of it, and whereas from like a hedge fund perspective, I don't have nearly that kind of, ah, access, and, and yet people, you know, sometimes…
▶ 48:24 unnamed speaker So, you know, we know the, the demographics because people log in through Facebook or Twitter of all the users, and then we can, we can, you know, the, the panel tilts a little bit towards millennials

▶ 8:13 Kuang Chen If Netflix recommends a movie that you don't want to watch, or if Facebook tags you in a photo, um, it's not the right person, no big deal.

▶ 1:59 Jason Grout Uh, I think of the massive data farms that, uh, massive data that Google or Facebook or,

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