Short answer: Jordan Metzner says Ring rolled out AI video descriptions, and a lawsuit revealed Anthropic bought used books, cut them up and scanned them, showing how far labs go for data not already on the internet.
From Episode 1: How We Built an AI Video Studio in 3 Days, starting at 38:14.
Jordan Metzner [38:13]: Yeah. Okay. Let's just, run through just two more quick ones, and then we can move on from there. Also came out this morning is, Ring, my old alma mater. I just rolled out video descriptions, an AI powered feature to give, users summaries. I'm a Ring customer. I think you're a Ring customer. You're Ring customer? Nest. No. Google. Nest? Okay. Cool. So anyway, I'll give you an update next week on kind of how well it works, but, in general, the cameras have been pretty behind in developing AI, and being effective like that. So hopefully, kind of with this new rollout, it'll be a little more interesting.
Sam Nadler [38:52]: So would it be if I get a little motion on my doorbell camera, I could say, oh, it was your dog, fetching a ball?
Jordan Metzner [38:59]: Well, think it does that now. I think it's more like you're away from your home and, you receive three packages, a neighbor came by, there were two dogs, kinda giving you a more holistic summary. I'm not sure. I didn't work on this product. Obviously, I've been a long time away from Ring and Amazon, but, Jamie's been back there. That was in the news a few months ago, so, maybe he's pushing this AI trend. Okay. I just wanna talk about one last story. There was a recent lawsuit with Anthropic and a piece of lawsuit came out regarding Anthropic scanning books. And I don't have the exact quote in front of me right now, but, from a high level, they were buying used books on the Internet, they were cutting the books up, they were passing them through scanners. And I just think, like, one, this is incredibly, interesting way to get you know, unlock data and make your model smarter by doing you know, essentially do things that don't scale. And it's crazy that, these big LLMs are just pretty much doing almost anything to get access to data that's not like readily available on the Internet that they haven't already captured. I don't know if you know about the story, but I'm just curious of your thoughts there.
Sam Nadler [40:17]: Yeah. I mean, to me what immediately resonates is like, the behind the scenes, like how the sausage is made and I can just picture this warehouse of, I think they spent millions and millions of dollars and I don't know exactly how many books that would be, hundreds of thousands of books, potentially millions. And, teams of people just ripping the pages out of the seams, you know. I don't know how organized it was or how chaotic it was, but I just, what a race to try and capture this data.
Jordan Metzner [40:51]: Yeah. That reminds me of like early Amazon Bezos days, like, he always makes that joke of like they're like boxing up books on the floor and someone says like, you know what we need? And he says like knee pads and the guy says like, no, we need tables. So I mean, I just can't imagine like your job is working at Anthropic and you know, your job is to like cut open old books and scan them, but just Yeah. Yeah, it just shows the thirst for like, you know Data. Unique data sets. Yeah. Yeah.
Sam Nadler [41:23]: Well Jordan, thank you. That was our inaugural episode. As mentioned, we covered a tool we built in just a few days. We covered a hot tool we love to use and we covered some latest news. Any final thoughts before we wrap up?
Jordan Metzner [41:36]: Yeah. This was really fun. Went by real quick. I'm really excited, for future episodes. I think we'll be dropping episodes every week. Ideally, kind of maybe every Friday, we'll we'll try to do our best. And, thanks for listening. You can find us on all your top podcast networks, Spotify, Apple, YouTube, and, we'll, catch you next week.
Sam Nadler [41:56]: Thanks for listening.
Jordan Metzner [41:58]: Thanks.