WTF Online
00:32:23 · Nikhil Kamath, Mati Staniszewski
[00:32:23] S1: Like, we'll feed in all the things we have said up until now and have somebody talk to people who are lonely and just see how the project goes. Just as a fun project. I speak to AI agent all the time. I think the... A big use case in the world tomorrow will be to solve for loneliness, you know, for intimacy. [00:32:46] S0: It's... I... Like, I think voice agent... I agree. I think there will be a big part there. It's going to be a big balance of figuring out how it's, like, not, you know, you you you kind of help with the virtual side, like, kind of try to bring people into the real world too, which is... Which will be at, like, an important balance. Like, the one... The most exciting one for me is education. Like, how will the education... Like could you have a personal tutor across subjects for everyone, like I love Richard Feynman, could I have Richard Feynman teach me physics and, like, kind of both the style of delivery is so cool. Like, he's kind of combining the knowledge and the and the laughter. And then I have it up... I'm I'm learning maths, I'm I'm... I can ask any question to to to Richard. That'll be that'll be amazing. [00:33:35] S1: What's even more interesting is if I have a device in my ear which negates the need for me to have to regurgitate any kind of information. What happens to education? Then I don't need to learn or remember much of what traditional education needs for me to remember.
00:33:35 · Nikhil Kamath, Mati Staniszewski
[00:33:35] S1: What's even more interesting is if I have a device in my ear which negates the need for me to have to regurgitate any kind of information. What happens to education? Then I don't need to learn or remember much of what traditional education needs for me to remember. [00:33:57] S0: Yeah. You're almost like... I don't know how how how you would see this, but, like, the way I think back at at at at kind of my education, like, I kind of... I rarely use any of the formal background semathematics. I almost never use that knowledge. But, like, the the most valuable part was kind of learning how to learn, so I hope there's, like, still that component that education brings and then, of course, the second part of education it's going to be, like, almost the opposite of tech which is how do you learn how to how to be with other people how you, like, be social, so, like, what you have, like, I feel in the future of education, you'll have, like, percentage of the time, which is, like, fully dedicated to learning with AI and tools, and then percentage of the time where there's, like, no tech and technology just like speaking with other people being close to them figuring out that part the percentage of both will be interesting like with AI can I now be more efficient so I just need like 2030% of the on the former and 70% on the latter or or or no versus, yeah, versus like a fully augmented version throughout?
00:33:57 · Mati Staniszewski, Nikhil Kamath
[00:33:57] S0: Yeah. You're almost like... I don't know how how how you would see this, but, like, the way I think back at at at at kind of my education, like, I kind of... I rarely use any of the formal background semathematics. I almost never use that knowledge. But, like, the the most valuable part was kind of learning how to learn, so I hope there's, like, still that component that education brings and then, of course, the second part of education it's going to be, like, almost the opposite of tech which is how do you learn how to how to be with other people how you, like, be social, so, like, what you have, like, I feel in the future of education, you'll have, like, percentage of the time, which is, like, fully dedicated to learning with AI and tools, and then percentage of the time where there's, like, no tech and technology just like speaking with other people being close to them figuring out that part the percentage of both will be interesting like with AI can I now be more efficient so I just need like 2030% of the on the former and 70% on the latter or or or no versus, yeah, versus like a fully augmented version throughout? [00:35:02] S1: As somebody not in the Valley, my day job as an investor, what do you think of you've raised a lot of money yourself I think like $300 $400,000,000 Your company is worth a few billions today. What do you think of AI valuations in the Valley today? These huge companies with a revenue number that doesn't historically warrant the market cap numbers that they have. Do you feel like there's a bubble brewing there?
00:35:02 · Nikhil Kamath, Mati Staniszewski
[00:35:02] S1: As somebody not in the Valley, my day job as an investor, what do you think of you've raised a lot of money yourself I think like $300 $400,000,000 Your company is worth a few billions today. What do you think of AI valuations in the Valley today? These huge companies with a revenue number that doesn't historically warrant the market cap numbers that they have. Do you feel like there's a bubble brewing there? [00:35:39] S0: And did you say you you invest into companies not in Silicon Valley, or you said did you invest in companies in Silicon Valley? [00:35:46] S1: Some in Silicon Valley, but largely companies out of India.
00:35:46 · Nikhil Kamath, Mati Staniszewski
[00:35:46] S1: Some in Silicon Valley, but largely companies out of India. [00:35:50] S0: That's what I thought. And and first of all, I think that's great. I... It's like, similarly, as we think... Like, it's so cool to see more companies. And and India, we care so much about companies brewing, and I'm from Poland and Poland Mhmm. In in in UK, of course. So... And and, like, as you think about our team today, most of the recent engineering is from Europe, and they are, like, some of the most motivated, passionate people about space. Like, hopefully, a lot more of that innovation comes across from from Asia, from Europe, internationally for the global companies. And I think the the valuations in Silicon Valley, you know, like, don't think that the bubble is brewing. I think there's, like... What I think is a very different part as I compare it to to to other cycles, I think there's a clear value, clear revenue numbers for a lot of the the companies. I do... You know, there are some pockets where I'm, like, a little bit skeptic of, like, does it make sense? You know, not to just... Like, to maybe give a concrete example is all the, like, GPU providers that are built on top of NVIDIA that, like, help you get effectively inference capacity. [00:37:05] S1: Mhmm.
00:37:05 · Nikhil Kamath, Mati Staniszewski
[00:37:05] S1: Mhmm. [00:37:05] S0: Like, I'm a little bit skeptic on some evaluations there, but, you know, like, for a lot of others, it's very clear. It's, like, high risk, high reward type thing. So I understand the bets, but they are probably higher risk than higher high reward. I do think AI is is in this in this in this trickier space where where if you win, you can win in a in a significant way, in a significant impactful way. Like, we'll work with a lot of the customers around the world if you are a good company. So I I kind of understand why, like, in the early stages of the companies, companies get such a high valuation. I mean, you... I'm sure you are referring also to a lot of the research companies being formed. Here here, it's, like, almost the way I kind of see it is there's like research is still so incredibly important and will be that like that multiple still makes sense like you you those people like if they invent one incredible thing, it... It's already worth it. Well, but I hope I hope companies around the world will get the same valuations soon. And if we... It's like, if they build globally, they should. Yeah.