00:33:12 · Rahul Patil
[00:33:12] S0: That's actually a guiding principle for us. So we've published something called The Anthropic Constitution, which guides the personality and the character of this. So we have a team of pure philosophers and psychologists trying to understand the commonality across every single country and culture of what makes us human, what makes us in the positive space. Obviously, it matters across an entire section of humanity what are the common things. The reason, you know, I think many of you have interacted with Claude, so you find it like, Hey, this is actually interesting and good to interact with, is because we spend so much time thinking about it. So we've published the Constitutions. It must be doing good work. In what ways it should be pushing in what ways is it aligned with you, in what ways it should not be aligned with you when you want to do something wrong with it and so on. So we are happy to walk away from revenue if it means that we'll do the right thing and the safe thing. So it guides us completely. So one of the ways to think about it is the very simple thing is when it's everyone here understands context length and stuff like that, right? Yeah. So when you give it very short context length, it's trying to make decisions in a hurry, right? And then sometimes when it says, I don't know, you don't like the answer. Like, is it like, You're AI. You should know the answer. At least try. At least come up with something that's plausible. So we end up trying to reward it by saying, Give me some answer. As humans, we just encourage it. When we draw our feeling, it's like, In what way? It's all algorithms. There's no feelings. It's all algorithms and flops on a GPU somewhere. But what we are trying to say is that the behavior, we wanted to feel confident, feel, I'm using the word fear. We wanted to feel confident in saying, I don't know. No, you are wrong. No, your intent is bad. We want it to have that no matter how we would treat it after it says that, right? And so I think that building that level of confidence into AI is a very important part of the personality, right? And this is where I think, you know, this is why we call race to the top of good. We don't care who wins there, but we think that if you have a point of view where it's non addictive, where it actually reflects the best of humanity values, that's actually a good thing.
00:35:42 · Ankit Chowdhary
[00:35:42] S1: So what does that mean for builders here? Should they kind of anchor on one model which they associate with based on the personality? Because sometimes, like, mean, Anthropic is quoted out there, but that's not true for everything other, especially even the open source ones. So how do builders think about making choices when using a model?
00:36:03 · Rahul Patil
[00:36:03] S0: Yeah. So many of you use cloud today, I assume, for your deployment. So one, I would just go with the practicality. Is it more expensive to build across all three clouds? Because just in case, there's one feature here, one feature there, just in case one day they have a database that's a little faster or compute that's little faster. One is your own distraction and focus on which one to go after. Second is I'll go tied back to the depend affinity. Do you depend on somebody's roadmap to be innovative faster? Do you depend on somebody stay true to the values and not get distracted by, Today, this is what I'm doing to chase revenue. Tomorrow, that's what I'm doing to chase revenue. And so I would say when you make your choices, you're making your choices based on what your lived experience is, What do you think what does the philosophy be in how somebody is building new capabilities? Do you trust the roadmap? Do you trust the dependability? Based on that, you make the call. Now, you remember I talked about upside and downsides and all that stuff? You can absolutely try to hedge across all the models. At that point, you limit the upsides, and you'll probably limit the downsides, but you also limit some of the upsides that you're gonna get. So, you know, my advice to you all is, like, you know, work backwards from first principles. It's like, what is the outcome of the thing you're trying to achieve? Which company, which set of models do you think will help you get there faster?
00:37:29 · Ankit Chowdhary
[00:37:29] S1: To align yourself to the values of potentially the team also behind it. Yeah. Okay. I'm gonna come back now to the stuff that you were talking about, opportunities and Indian opportunities. There are a few that you're also passionate about, you shared with me. So what are the opportunities that you see will still be very relevant, you know, especially for builders here in India that, you know, people are maybe not thinking about? I know you have some interesting anecdotes and examples of what is seen, not seen. So share more.
00:38:00 · Rahul Patil
[00:38:00] S0: So one, like, India has 50% of India's population is 25, right? And so there's just a lot more intellectual openness in terms of where things could go, and the adaptability is going to be pretty high. Second, India remains the most optimistic about AI of all the countries in the world. 75 of India believes AI is gonna be good. One in three new GitHub developers are from India. So you're seeing the technical density all come out from here. So there's a lot of positives at just a fundamental structure level. Second is there's a lot of interesting industries, like the ability to like, let's say there's I think India has a lot of pharmaceutical industries here. So in a post AI abundant world, what is the one thing that everybody's gonna value? Health and time. So you all know about Warren Buffett. He's probably like 95 years old. I love the guy. I have deep respect for his first principle start. He's worth, like, you know, dollars 100 plus billion or whatever. How many of you here would trade positions with him? Become 95 and everything you want? No, right? Like, what is the thing that, you know, Sadhguru says is like, When you have everything you want, what do you want? Right? When you have everything, what do you really want? And so the amount of premium there will be for health and time. And so we'll never run out of wanting one hundred years' worth of medical innovation happening in the next five years. So I think it's very high potential of something great happening here. There are lots of other sectors. Like, you just look at some of the unique things that happen here, 60% of Indian population would prefer a keyboard less interface in general. So AI will just push it even further. So I talked to a bunch of cofounders across multiple platforms. Their entire angle about AI is we'll have keyboard less AI. And so AI beyond a chat interface, ambient AI, these are things that are going to be pretty successful. Because again, there is a market, there is a set of consumers in India who have very distinct patterns, whether it's language, whether it's the interface with the device, interface with technology. This is going to be distinctly different. There's a lot of great things that can be built. I can go on, but there's lots of good ideas. I also met with Udiom Foundation. Anthande, I saw you there, right? Yes.
00:40:26 · Rahul Patil, Ankit Chowdhary
Udiom Foundation focuses on it's a nonprofit organization focusing on youth entrepreneurship between the age of 16 and 22. And some of the things that they've invented is just amazing, right? And so there's just that level of use cases that nobody else in the world is thinking about. I feel like India is going to be phenomenal at some of the applied AI level. [00:40:48] S1: You know, we also have some companies here building India for India kind of problems. Like, Maya, I think you spoke to them. You know, again, very niche, right? But having a very opinionated point of view coming from, you know, lived experiences, insights, and, you know, I'll share this when we were talking, at least I picked up on it, you know, you also mentioned that sometimes there are problems which are not obvious to people you know who are building in the big model labs, big labs because they just don't see it or live it anymore. For example you mentioned agriculture and how you know it's kind of hidden away right but for us like people here they might be one generation apart from agriculture so you might have a so much more nuanced knowledge about stuff like that and maybe just capitalizing on like hey what can I do with that right so I think these are definitely interesting opportunities [00:41:39] S0: Yeah? And we announced some partnership with Acestep for AI for agriculture. So again, very excited about those things. Awesome. So, yeah, iteration with physical worlds, like AI interaction and iteration of physical world, has some like real legs here.