Venture with Grace
00:20:10 · Grace Gong, Jerry Tworek
[00:20:10] S1: I guess when it comes to charging, so nowadays, people are doing usage based charging things. And then like, some people are kind of like replacing the human of like different workforce. Do you feel like that aspect will change? And for for people like, you know, listening to our show, or like, you know, for a lot of our LinkedIn audience, sometimes people are looking for jobs in the AI industry. What does that meant for them? Are people going to be doing something significantly different? Or obviously, could be cooking Yeah, or exactly. [00:20:47] S2: I do believe we are heading towards what I call post labor society. [00:20:52] S1: Okay. There [00:20:52] S2: is a future where we don't necessarily So the wolves [00:20:55] S1: be all in, like, [00:20:56] S2: Yeah. The worst For example, I sometimes imagine life like like high school, where high school is a moment in life where no one has to really work. You don't have to generate value. You mostly spend your time learning and hanging out with friends. And if I if I imagine, like, how could a life look like if I was completely free of any obligations, [00:21:16] S1: You have I would much better high school experience than me. I was doing homework. [00:21:22] S2: You can still do homework if you would like that. Okay. Was definitely somewhat of an anti homework person. [00:21:30] S1: You're an anti homework person? [00:21:32] S2: I I didn't like homework that much. [00:21:34] S1: Yeah. You look like you will finish your homework within two minutes, and then people will copy your homework.
00:21:34 · Grace Gong, Jerry Tworek
[00:21:34] S1: Yeah. You look like you will finish your homework within two minutes, and then people will copy your homework. [00:21:38] S2: I would... Would usually copy it in the morning, but but... I I didn't like spending my my time at home on it. [00:21:46] S1: So what do people... Like, so what... Like, what kind of job will be replaced the fastest? [00:21:51] S2: It's hard to say, really. I think I think it will more be, like, various types of job will be replaced gradually. When we look at the job market today, was the job of programmers really replaced? I don't think so, but it was already radically transformed. Every single engineer can write code much faster and much differently than before. There are whole groups of people that stopped reading code completely, almost in many ways. So the profession has changed. The dynamics of it has changed. And I think that also affects the job market. But I don't think we can say anything got replaced. I think the replacement will happen, if anything, all at the same time, rather than one job faster than the other. Once you have partial automation, you still usually need a human in the job and you still need to be able to have this level of oversight and the level of context that only humans can. Once we achieve technology that can do the work for you, I think it will happen everywhere at once. And I think that's kind of like, in a way, slightly better for the society. Because we are not in this weird world where all, like, one job got automated, the other one didn't. And how do we really, like, navigate that?
00:21:51 · Jerry Tworek, Grace Gong
[00:21:51] S2: It's hard to say, really. I think I think it will more be, like, various types of job will be replaced gradually. When we look at the job market today, was the job of programmers really replaced? I don't think so, but it was already radically transformed. Every single engineer can write code much faster and much differently than before. There are whole groups of people that stopped reading code completely, almost in many ways. So the profession has changed. The dynamics of it has changed. And I think that also affects the job market. But I don't think we can say anything got replaced. I think the replacement will happen, if anything, all at the same time, rather than one job faster than the other. Once you have partial automation, you still usually need a human in the job and you still need to be able to have this level of oversight and the level of context that only humans can. Once we achieve technology that can do the work for you, I think it will happen everywhere at once. And I think that's kind of like, in a way, slightly better for the society. Because we are not in this weird world where all, like, one job got automated, the other one didn't. And how do we really, like, navigate that? [00:23:10] S1: All the jobs will be automated at the same time. Basically, that's kind of the conclusion. Not automated, but somewhat.
00:23:10 · Grace Gong, Jerry Tworek
[00:23:10] S1: All the jobs will be automated at the same time. Basically, that's kind of the conclusion. Not automated, but somewhat. [00:23:15] S2: Yeah, the physical aspect. That's one kind of having the big divide is like jobs that can be done at the computer and jobs where you actually need your muscles and move stuff around. That's probably one big divide I am imagining. And everyone who works with hardware knows robots will take a while longer for it, but at the same time, there is so much investment, so much work done in this space that a lot will happen eventually. [00:23:41] S1: When guess, when you're thinking about the business side of things, do you find so nowadays, I feel like whenever I chat with a founder, typically people's opinion are like, you have to chat with the customer first, hearing about what the customer are like. And who are your customers? Are they, I guess, enterprise or are they other researchers? And how do you think about I guess, creating, generating revenue side of things? Because obviously, you guys are lab, and it probably takes long time to actually generate revenue. Yeah. What's your kind of thought process on building the company? What are the momentum that you're chasing to maybe raise the next round or do stuff?
00:24:36 · Jerry Tworek, Grace Gong
[00:24:36] S2: First and foremost, we are a research company, so largely working on delivering the breakthrough technology even before thinking about commercialization. I don't want to participate in the existing agents' market of training transformers and deploying them. It's not what we set out to do. So first, we need to build what we want, and then we can deploy it to the world. When I am largely thinking about enterprise customers and the companies that are interested and willing to undergo the internal transformation of moving the business towards more and more automated way of doing things. And again, it will be gradual. It will be step by step. But businesses already are playing with using agents in various role functions, and I would like to offer them for our different technology something that is just as much better for their use cases than than the than the existing setup. And my ideal way of charging it would be per rack. I a lot of a lot of businesses, they [00:25:40] S1: Per rack? [00:25:40] S2: Per... They they like having hardware on prem. Mhmm. And I would like to say this is a GB 300 and NVL72 to rack from NVIDIA that you can put in your data center. We put their Core Automation software, and that software will learn from your data and can perform all the business functions that you need in your company. This what we would like to do. And, like, I don't think charging per token probably makes sense in some cases, but also very often users are usage conscious and charging per token suddenly makes you feel bad.
00:25:40 · Jerry Tworek, Grace Gong
[00:25:40] S2: Per... They they like having hardware on prem. Mhmm. And I would like to say this is a GB 300 and NVL72 to rack from NVIDIA that you can put in your data center. We put their Core Automation software, and that software will learn from your data and can perform all the business functions that you need in your company. This what we would like to do. And, like, I don't think charging per token probably makes sense in some cases, but also very often users are usage conscious and charging per token suddenly makes you feel bad. [00:26:19] S1: Please, we're streaming. Sorry. Oh my god. My bad. I didn't know this was like... I mean, we only came... I would typically only ran this place for dinner. So typically, these kind of things don't bother us. But today, it's been... Everything has been happening. So... Which makes the show very diverse. [00:26:37] S2: It is. It is diverse. [00:26:38] S1: We only got interrupted sometimes. Sorry. Okay. So... That's that's okay. Yeah. The Parag. The rack.