1 00:00:00,040 --> 00:00:02,679 Speaker 1: Earlier today, I caught up with Alexis Ohanian, the founder 2 00:00:02,720 --> 00:00:05,120 Speaker 1: of seven seven six of course the co founder of 3 00:00:05,160 --> 00:00:05,960 Speaker 1: Readit as well. 4 00:00:06,200 --> 00:00:07,920 Speaker 2: We discussed his approach. 5 00:00:07,520 --> 00:00:10,479 Speaker 1: To investing in AI companies and how he's thought about 6 00:00:10,480 --> 00:00:12,280 Speaker 1: the hype around AI this year. 7 00:00:12,360 --> 00:00:14,760 Speaker 2: Have a listen, there's a lot of hype right now. 8 00:00:15,000 --> 00:00:16,919 Speaker 3: I've been investing in the space for over a decade, 9 00:00:16,960 --> 00:00:19,319 Speaker 3: back when it was just narrow AI companies, you know, 10 00:00:19,360 --> 00:00:22,880 Speaker 3: seating companies like Athellis and Cruise, So this is really 11 00:00:22,960 --> 00:00:27,080 Speaker 3: now a big breakthrough. Generalized AI is a giant buzzword, 12 00:00:27,560 --> 00:00:30,920 Speaker 3: but there is some real special truth there, and we're 13 00:00:30,920 --> 00:00:33,640 Speaker 3: looking for companies that are using this technology to enhance 14 00:00:33,640 --> 00:00:35,879 Speaker 3: the user experience and outside of ways. It really is 15 00:00:36,280 --> 00:00:38,960 Speaker 3: as simple as that, and we're seeing it across the portfolio, 16 00:00:39,120 --> 00:00:43,840 Speaker 3: from AI produced dubbing like deep tune, to sports media 17 00:00:43,840 --> 00:00:45,320 Speaker 3: martagsmen companies like score plates. 18 00:00:45,520 --> 00:00:47,160 Speaker 2: It's not about just the buzzword. 19 00:00:47,200 --> 00:00:49,760 Speaker 3: It's about how are you improving users' lives using this 20 00:00:49,840 --> 00:00:50,960 Speaker 3: technology effortlessly. 21 00:00:51,640 --> 00:00:53,519 Speaker 1: When I was looking through the portfolio, you know the 22 00:00:53,560 --> 00:00:56,120 Speaker 1: examples of score playing deep tune, you kind of split 23 00:00:56,120 --> 00:00:59,320 Speaker 1: it maybe into a tool, an AI tool, which we 24 00:00:59,400 --> 00:01:04,160 Speaker 1: call generate AI and then an existing technology platform which 25 00:01:04,240 --> 00:01:09,080 Speaker 1: is kind of improved or added to using AI. You know, 26 00:01:09,440 --> 00:01:13,880 Speaker 1: explain to us why score play and deep tune fit 27 00:01:14,000 --> 00:01:16,680 Speaker 1: those two kind of categories and why you'd invested in them. 28 00:01:16,800 --> 00:01:17,240 Speaker 2: For sure. 29 00:01:17,440 --> 00:01:19,800 Speaker 3: Well, you know, as the owner of two professional sports teams, 30 00:01:19,880 --> 00:01:23,280 Speaker 3: I know how important media management is and this process 31 00:01:23,280 --> 00:01:26,360 Speaker 3: of actually capturing the clips, the photos or everything happening 32 00:01:26,440 --> 00:01:29,240 Speaker 3: on the pitch or in the stands, and then you know, 33 00:01:29,280 --> 00:01:31,880 Speaker 3: getting those out to the athletes, to social media, to 34 00:01:31,920 --> 00:01:35,360 Speaker 3: your media partners. That is a ton of work, and 35 00:01:35,760 --> 00:01:39,320 Speaker 3: software should automatically be able to seamlessly make all that 36 00:01:39,360 --> 00:01:40,479 Speaker 3: happen way more effectively. 37 00:01:40,680 --> 00:01:42,280 Speaker 2: But now you layer in AI and you. 38 00:01:42,280 --> 00:01:44,760 Speaker 3: Have something that now does it ten times faster, whether 39 00:01:44,760 --> 00:01:48,760 Speaker 3: it's identifying you know, this is Sidney LaRue, this is 40 00:01:48,800 --> 00:01:52,760 Speaker 3: her kicking a goal, this is the door dash logo visible, 41 00:01:53,080 --> 00:01:55,320 Speaker 3: and so all of that stuff can now be automated 42 00:01:55,320 --> 00:01:58,520 Speaker 3: away and so smaller teams can get far more done. 43 00:01:58,720 --> 00:02:03,080 Speaker 3: And it's not reinventing a whole new technology, it's leveling 44 00:02:03,200 --> 00:02:06,720 Speaker 3: up existing software that already has deep relationships with customers. 45 00:02:06,960 --> 00:02:08,400 Speaker 3: And so there are going to be these types of 46 00:02:08,400 --> 00:02:11,080 Speaker 3: companies that have strong motes and lock in that are 47 00:02:11,120 --> 00:02:13,440 Speaker 3: going to win, and you know there's going to be 48 00:02:13,480 --> 00:02:15,600 Speaker 3: big winners in the space as well. Chat shbt is 49 00:02:15,600 --> 00:02:18,320 Speaker 3: probably the most famous one, which I'm not an investor in, 50 00:02:18,520 --> 00:02:21,120 Speaker 3: though I really should have bugged Sam about that a 51 00:02:21,160 --> 00:02:23,800 Speaker 3: lot earlier. You know, I use it to tell bedtime 52 00:02:23,840 --> 00:02:27,520 Speaker 3: stories with my daughter, and so you're seeing this very generalized, 53 00:02:27,919 --> 00:02:30,960 Speaker 3: you know, approach from NLM like open Eye that's going 54 00:02:31,000 --> 00:02:32,440 Speaker 3: to solve a lot of problems for a lot of people, 55 00:02:32,560 --> 00:02:35,120 Speaker 3: and then much more specific approaches that are solving at 56 00:02:35,200 --> 00:02:38,519 Speaker 3: least right now, strong business needs and you know, offering 57 00:02:38,520 --> 00:02:40,760 Speaker 3: it like any other subscription as a service business. 58 00:02:41,560 --> 00:02:44,440 Speaker 1: Just real quick if you do bug Sam Altman. I 59 00:02:44,520 --> 00:02:48,400 Speaker 1: reported last week that there's a tender off r underway 60 00:02:48,480 --> 00:02:51,160 Speaker 1: right and there's pretty big, big blocks of shares on 61 00:02:51,200 --> 00:02:55,600 Speaker 1: the Secondari's market. Yes that you know value open Ai 62 00:02:55,800 --> 00:02:59,639 Speaker 1: eighty six ninety billion, more than one hundred billion some 63 00:02:59,680 --> 00:03:02,400 Speaker 1: of the prospectus that I've seen. Is that a way 64 00:03:02,400 --> 00:03:03,760 Speaker 1: for you to get in or did you just you 65 00:03:03,840 --> 00:03:07,120 Speaker 1: just stay away from open ai given its late growth stage. 66 00:03:07,160 --> 00:03:08,760 Speaker 2: I am such an early investor. 67 00:03:08,800 --> 00:03:10,960 Speaker 3: I want to be there at the point of inception 68 00:03:11,280 --> 00:03:12,960 Speaker 3: all the way to maybe the Series A. That's that's 69 00:03:12,960 --> 00:03:15,520 Speaker 3: when we like leading and running that first check. At 70 00:03:15,520 --> 00:03:17,840 Speaker 3: this stage, I still think there's value, but it's not, 71 00:03:18,080 --> 00:03:20,520 Speaker 3: you know, it's above my pay grade. 72 00:03:19,560 --> 00:03:22,359 Speaker 2: I enjoy, I enjoy. 73 00:03:22,200 --> 00:03:25,960 Speaker 3: Being super early and right, but you know, it's still 74 00:03:26,440 --> 00:03:28,920 Speaker 3: it's going to continue to surprise us. I think what 75 00:03:28,960 --> 00:03:31,040 Speaker 3: these technologies are able to do. And yes, there is 76 00:03:31,080 --> 00:03:33,280 Speaker 3: a ton of hype, but I do think the sky 77 00:03:33,400 --> 00:03:35,160 Speaker 3: is the limit. And I've known Sam since he did 78 00:03:35,320 --> 00:03:38,560 Speaker 3: Y Combinator together back in two thousand and five, and 79 00:03:38,760 --> 00:03:42,000 Speaker 3: one thing he has never lacked is ambition. And so 80 00:03:42,320 --> 00:03:45,120 Speaker 3: if there's anyone who can turn this into you know 81 00:03:45,160 --> 00:03:47,080 Speaker 3: what all the sort of hype is about, it would 82 00:03:47,080 --> 00:03:49,640 Speaker 3: be him. 83 00:03:49,800 --> 00:03:53,200 Speaker 1: So a big emphasis there on artificial intelligence. Alexis o'hanian 84 00:03:53,280 --> 00:03:55,960 Speaker 1: seven seven six founder, co founder of Reddit