00:22:57 · Ksenia Se, Ulrik Hansen
[00:22:57] S1: In this world where you work with data in all the stages, you know how it works for training, you know how it works in post training, what it needs for the context, working with high stakes companies when it's super important to really manage your data well and be safe about it. What concerns you the most in this world that you help building, and what excites you the most? [00:23:19] S0: Yeah. That's a good question. The concerns that, like, people have around, like, AI and, like, making sure that AI is, like, deployed, like, safely and all those things, like, a lot of those concerns, like, are warrant because there are, like, real risks with AI systems. Right? We're seeing that kind of come out in in a few different ways. There's, like, the mass produced, like, misinformation and, like, all those other things, which I think, like, we will just need, like, a good way of, like, verifying whether something is, like, AI generated or has been created by human. But that's also why I think the value of brands will be even more important in the future because, you know, that, like, if a specific brand is, a trust source, like, you go and, like, read the Financial Times or The Economist, I trust that, like, they are as objective as they can be in, like, their assessment of, like, the the truth. [00:24:04] S1: But they have responsibility.
00:24:05 · Ulrik Hansen
[00:24:05] S0: But they have responsibility. Exactly. And so I think that will, like, happen across, like, every single part of the economy. Like, the valid brands will go up a lot because of, like, the general kind of trust and safety issues of of AI. So that is just, like, one thing that I don't think that there's, like, a good solution to other than, like, it makes sense for, like, the existing companies that are doing these things to, like, continue investing in their brand, make sure that they know that they could be, like, the trusted source of things. I think, like, the excitement is is also, on on the flip side by, like, the opportunity that we have and, like, living at this time of history, we're, like, likely to see more change from technology in, like, the next ten years than we've seen in the next... In the last, like, fifty years. And so seeing, like, what comes out of that, I think it's gonna be, like, very exciting. I think, like, the models will start to kind of work in conjunction with humans to come up with, like, new drugs that can, like, treat disease in, like, new different ways that we had never, like, encountered before. A lot of, like, the chores from our daily life will be easier because we will have robots in our house, right, that can, like, do a a lot of the the stuff that you don't necessarily wanna do. Humans will sort of, like... It's a nursing point because, like, we will kind of, like, go back to... We will do... Be doing the things that, like, we find to be most valuable as humans. Right? So it'll be things like spending time with our family and friends and and whatnot. So we're moving from, like, an intelligence economy where, like, value has accrued to intelligence over the last, like, thirty years into, like, more of what I like to call, like, a connection economy where, like, the value that would be delivered... And, like, there'll be new jobs. Right? Like, the new, like, kind of professions created in the agrarian economy a hundred fifty years ago. Was unthinkable that there'd be such a a profession as, a software engineer. And I think we'll see, like, a similar, like, proliferation of, like, new types of of work and, like, new types of jobs that humans will be doing in the future that we can't even, like, conceive of at this point. So, yeah, think it's, like, a very exciting time to be to be alive.
00:25:45 · Ksenia Se
[00:25:45] S1: I'm ready for all of that. And my last question will be about books. I always ask this question. I believe that books shape people, and what is a book or idea that shape your thinking? And it can be related or completely unrelated to AI machine learning.
00:25:59 · Ulrik Hansen
[00:25:59] S0: Yeah. I've I've read so many, like, good books over the years, like, how to, like, pinpoint exactly which one has, like, shaped my thinking the most. I think a more recent book that I've read that is, like, definitely, like... Maybe, like, think a lot about, like, my own, like, life and, like, how I have developed in my career as a a book called, Daily Rituals, How Artists Work by Mason Currey. And so he, like, I think was, like, writing a column in, like, a newspaper. And then I started, like, writing about, like, the daily routines of, like, people. And so he kind of took that to the extreme and and looked at, like, what would be some of the, like, you know, the foremost, like, artists and thinkers in history. So there's, like, I think, maybe, like, a 150, like, different people, like, in the book. So definitely encourage, like, people really get, but it really showed the likes of, like, Mark Twain, Isaac Newton, Ayn Rand. And it's super interesting reading about, like, the daily rituals of, like, of these people because you realize that the insight or the art or the the breakthrough, whatever it might be, right, or, the new, like, new, like, law of physics or whatever that they they discovered were created not from a single insight, but really, like, from many years of grinding away and iterating on things before, like, they found that insight or before things actually started working. And there is just a lot of analogy. Right? So, like, building a company, it's also, like, people always think that these things are, like, overnight successes, but the reality is, like, these things are, like, many, many years in the making. I think it, like, kind of, like, correlates nicely with this quote from Aristotle, which is we are what we repeatedly do. Excellent then is not an act, but a habit. And I think that is, like, definitely true for, like, most things. Right? So doing the same thing over and over again every day, and that's, like, how you create the create the breakthroughs. I think that's how that the AI breakthroughs were were created. That was how, like, every single breakthrough in the past were... Was created. I think that's just something that is, I think, very pertinent to, like, company building and research and, like, the new discoveries in in artificial intelligence and and beyond.
00:27:51 · Ksenia Se, Ulrik Hansen
[00:27:51] S1: Thank you. Yeah. That's a great lesson to learn. Thank you so much for this interview. It was fun. [00:27:55] S0: Yeah. No. Thank you, Ksenia. Thanks for having me.