Matz had just been correcting the record on Cambridge Analytica: it was not a breach, Facebook handed the data over by design. Laurie Segall asks whether the scandal now looks like a warm-up for AI. Matz says the underlying principles have not changed, only the scale, since a model no longer needs someone to assemble the dataset and train on it first.
…was actually open to developers to grab. And to me, yeah, they did restrict the access after. But again, this is something that when you build technology and you move fast and you break things, well, maybe that's an oversight that happened because they were not responsible enough to start with.
…and break things, only like it feels like the stakes are even higher. And that could just be me putting my own point of view on it. But I'm curious how you feel about looking back at that and where we sit now with artificial intelligence and the questions that we're now beginning to ask about it.
I think Cambridge Analytica looks cute in hindsight now with AI. I mean, the one thing I remember when I published the book, I was like, oh my God, this is going to be outdated so quickly because technology moves so fast. But at the end of the day, the main principles remain the same. And if anything, I think AI is just accelerating it. And so the challenge that you have with AI that's different today than back in even 2016 is simply scale. So back in 2016…
It's one thing I heard some folks talking about, kind of like, you know, in the corners of whatever, like the rise of wearables and AI wearables, like these rings that can listen. Like we're kind of, we're beginning, people are going to start recording everything, whether or not we even realize it.…
And it's a great example, because I think what people associate with Cambridge Analytica is, well, I'm just not using social media anymore. It's a comment that I hear almost every time that I give a talk somewhere. It's like someone feels very proud that they're not using social media anymore and…
And