WEBVTT 00:00:00.080 --> 00:00:02.637 part of the IIT Delhi community. Let's 00:00:02.720 --> 00:00:09.240 have another huge round of applause uh for our guest guys. Come on. 00:00:13.520 --> 00:00:15.197 They say the best way to predict the 00:00:15.280 --> 00:00:19.197 future is by inventing it. And today we 00:00:19.280 --> 00:00:20.957 have two stalwarts from different 00:00:21.040 --> 00:00:23.437 generations who have each foreseen the 00:00:23.520 --> 00:00:26.237 future for the world by building it 00:00:26.320 --> 00:00:28.717 themselves. Our first guest is a name 00:00:28.800 --> 00:00:30.637 that resonates deeply within these 00:00:30.720 --> 00:00:33.277 walls. He's not just a global icon, but 00:00:33.360 --> 00:00:38.397 he's also our very own alumni. In the early8s, he co-founded Sun Micros 00:00:38.480 --> 00:00:41.997 Systemystems, a company that fundamentally revamped the structure of 00:00:42.080 --> 00:00:46.237 Silicon Valley at a time when computing was closed and proprietary. He 00:00:46.320 --> 00:00:50.957 championed open systems. His vision led to workstations that powered the early 00:00:51.040 --> 00:00:53.117 internet and the creation of Java. 00:00:53.200 --> 00:00:55.597 Later, he founded Kosla Ventures. He has 00:00:55.680 --> 00:00:57.677 consistently backed ideas that aim to 00:00:57.760 --> 00:01:00.317 solve the society's largest problems 00:01:00.400 --> 00:01:02.957 from clean energy to digital tech and as 00:01:03.040 --> 00:01:07.677 the first institutional investor in open AI. Ladies and gentlemen, let's have 00:01:07.760 --> 00:01:09.517 another huge round of applause for Mr. 00:01:09.600 --> 00:01:13.080 Vinod Kosla. 00:01:15.520 --> 00:01:18.317 With him, we have arguably the most 00:01:18.400 --> 00:01:20.397 influential person in technology right 00:01:20.480 --> 00:01:22.797 now. Steering the development of the 00:01:22.880 --> 00:01:25.917 most powerful AI models in history. As 00:01:26.000 --> 00:01:28.637 the CEO of Open AI, he has kicked off 00:01:28.720 --> 00:01:33.037 the generative AI era, changing how the world inter interacts with the 00:01:33.120 --> 00:01:35.277 information, creativity, and 00:01:35.360 --> 00:01:42.200 intelligence itself. A huge round of applause for Mr. Samman 00:01:44.400 --> 00:01:47.837 to formally welcome our distinguished guests and set the context for this 00:01:47.920 --> 00:01:50.077 historic event. I would now like to call 00:01:50.160 --> 00:01:56.200 upon the stage the director of ID Delhi, Professor Rangan Banerjee. 00:01:58.080 --> 00:01:59.997 Good morning. 00:02:00.080 --> 00:02:03.597 So nice to see so many of you here. 00:02:03.680 --> 00:02:07.437 And when it was known that Mr. Sam Alman 00:02:07.520 --> 00:02:09.757 and Vinod Kosla are going to come here. 00:02:09.840 --> 00:02:12.637 We quickly realized that the Dogra hall 00:02:12.720 --> 00:02:16.557 is not going to be enough and all of you 00:02:16.640 --> 00:02:19.277 are actually privileged. We could have 00:02:19.360 --> 00:02:23.037 two Dogra halls here if we wanted to fit 00:02:23.120 --> 00:02:25.437 in all those who had registered from IIT 00:02:25.520 --> 00:02:29.517 Delhi itself. Uh we have the minor exams 00:02:29.600 --> 00:02:31.677 going on. I don't know how many of you 00:02:31.760 --> 00:02:33.677 have skipped the minor exams to come 00:02:33.760 --> 00:02:37.117 here. And I was told some people have 00:02:37.200 --> 00:02:40.157 finished the 2-hour exam in an hour and 00:02:40.240 --> 00:02:43.197 come down here. How many of you are from 00:02:43.280 --> 00:02:45.997 outside IIT? Please raise your hands. 00:02:46.080 --> 00:02:49.277 Excellent. So we hope that all of you 00:02:49.360 --> 00:02:51.997 would also come for our student tech 00:02:52.080 --> 00:02:57.480 event on next week. 00:02:58.320 --> 00:03:01.917 I'd like to just take this opportunity 00:03:02.000 --> 00:03:05.357 to say that as a higher educational 00:03:05.440 --> 00:03:09.997 institute IIIT Delhi AI 00:03:10.080 --> 00:03:12.877 provides an opportunity but also a 00:03:12.960 --> 00:03:17.037 challenge and we need to figure out how 00:03:17.120 --> 00:03:20.637 we train the future generation of people 00:03:20.720 --> 00:03:23.437 who are going into the workforce. Uh 00:03:23.520 --> 00:03:27.037 towards this we created a committee of 00:03:27.120 --> 00:03:29.357 faculty members, students and staff to 00:03:29.440 --> 00:03:34.877 look at how do we integrate responsible 00:03:34.960 --> 00:03:38.717 AI and what is what is ethical use of AI 00:03:38.800 --> 00:03:42.477 by faculty by students 00:03:42.560 --> 00:03:45.837 and this is an ongoing conversation 00:03:45.920 --> 00:03:51.197 we have again through uh we have a 00:03:51.280 --> 00:03:55.277 dedicated school of AI. We have a MTech 00:03:55.360 --> 00:03:57.437 program in machine intelligence and data 00:03:57.520 --> 00:04:01.037 sciences. We have a PhD program. We've 00:04:01.120 --> 00:04:04.477 also setting up this year. We'll be 00:04:04.560 --> 00:04:07.117 starting the MTech program in machine 00:04:07.200 --> 00:04:09.917 intelligence and data sciences in our 00:04:10.000 --> 00:04:12.557 Abu Dhabi campus. We did a curriculum 00:04:12.640 --> 00:04:14.717 review last year and in that curriculum 00:04:14.800 --> 00:04:19.517 review we we ensured that every student 00:04:19.600 --> 00:04:22.717 of the institute has 00:04:22.800 --> 00:04:27.597 exposure to AI in terms of courses AI and sustainability. This was one of the 00:04:27.680 --> 00:04:29.517 features of the curriculum review. I'm 00:04:29.600 --> 00:04:32.237 not going to go on about this because I 00:04:32.320 --> 00:04:35.117 we want to hear Mr. Sam Alman and Mr. 00:04:35.200 --> 00:04:38.237 Vinod Kosla. I just like to say that 00:04:38.320 --> 00:04:42.557 just give you one example. Uh we la we 00:04:42.640 --> 00:04:45.517 with the ministry of tribal affairs we 00:04:45.600 --> 00:04:48.397 developed a tool called Adibani 00:04:48.480 --> 00:04:50.637 which are in 00:04:50.720 --> 00:04:53.757 four tribal languages Santali, Bhili, 00:04:53.840 --> 00:04:56.477 Mundari and others where we are looking 00:04:56.560 --> 00:04:59.837 at AI for the community in communities 00:04:59.920 --> 00:05:03.677 which currently do not have access to 00:05:03.760 --> 00:05:06.237 this kind of content. 00:05:06.320 --> 00:05:10.157 We are looking at ways and we we are 00:05:10.240 --> 00:05:12.717 delighted that we are entering into a 00:05:12.800 --> 00:05:16.797 partnership with open AI. We are 00:05:16.880 --> 00:05:19.997 looking at ways where our students and 00:05:20.080 --> 00:05:24.317 our faculty will engage with both 00:05:24.400 --> 00:05:26.797 companies like Open AI as well as with 00:05:26.880 --> 00:05:29.837 sovereign AI models so that we can 00:05:29.920 --> 00:05:33.997 co-develop and create responsible AI 00:05:34.080 --> 00:05:37.917 which makes a difference in people's lives. 00:05:38.000 --> 00:05:43.037 I'd like to say that we are delighted to have Mr. Sam Alman here. She's a person 00:05:43.120 --> 00:05:44.877 who's been ahead of the curve in terms 00:05:44.960 --> 00:05:47.757 of thinking on AI and generative AI. 00:05:47.840 --> 00:05:50.317 We're also delighted to have with us one 00:05:50.400 --> 00:05:54.477 of our own Mr. Binot Kla who has always 00:05:54.560 --> 00:05:57.597 been ahead of the curve and as a student 00:05:57.680 --> 00:06:02.797 here I think 1971 to 1976. 00:06:02.880 --> 00:06:07.117 During that time he set up one of the 00:06:07.200 --> 00:06:10.637 first computer laboratories 00:06:10.720 --> 00:06:15.117 in the IIT system and uh so he was ahead 00:06:15.200 --> 00:06:17.437 of the curve at that time. He was also 00:06:17.520 --> 00:06:21.197 ahead of the curve when he in 2004 I 00:06:21.280 --> 00:06:23.917 think he donated 00:06:24.000 --> 00:06:28.237 to our institute for setting up the school of IT which is named after his 00:06:28.320 --> 00:06:32.920 parents and 00:06:34.080 --> 00:06:36.557 We at IIT Delhi 00:06:36.640 --> 00:06:39.997 are now a 65 year old institution 00:06:40.080 --> 00:06:43.837 and we are in the process of reimagining 00:06:43.920 --> 00:06:46.477 our future. We want to be ahead of the 00:06:46.560 --> 00:06:48.557 curve in education. 00:06:48.640 --> 00:06:52.077 We are looking at IIT Delhi 2035. 00:06:52.160 --> 00:06:56.477 We are looking at changing our infrastructure. We are 00:06:56.560 --> 00:06:58.797 going vertical and we would we are 00:06:58.880 --> 00:07:01.597 hoping to have Mr. Kosla's support in 00:07:01.680 --> 00:07:04.477 form of ideas as we do this 00:07:04.560 --> 00:07:09.197 reimagination. So with these few words I'd like to just say that like all of 00:07:09.280 --> 00:07:14.317 you I'm looking forward to this conversation. Thank you so much. 00:07:14.400 --> 00:07:20.840 Thank you. I'd like to call upon the stage Mr. Vinard Kosla and Mr. San 00:07:28.080 --> 00:07:29.677 where should we start? Hopefully 00:07:29.760 --> 00:07:33.277 somebody will keep us honest on time. 00:07:33.360 --> 00:07:35.997 Sam maybe uh first I'm always excited to 00:07:36.080 --> 00:07:39.037 see so many young people. So maybe you 00:07:39.120 --> 00:07:41.997 can talk about your observations here. 00:07:42.080 --> 00:07:46.717 >> Yeah. Uh this has been a wonderful trip uh to 00:07:46.800 --> 00:07:49.277 India for me and I have a lot more exciting stuff today but this is the 00:07:49.360 --> 00:07:53.757 thing I've been most looking forward to of the entire trip. uh watching what's 00:07:53.840 --> 00:07:55.277 happening with young people around the 00:07:55.360 --> 00:07:58.077 world uh especially in India though 00:07:58.160 --> 00:08:01.037 building with incredible energy with AI 00:08:01.120 --> 00:08:05.117 uh the new startups that are going to happen are already happening the the new 00:08:05.200 --> 00:08:06.557 products and services that are going to 00:08:06.640 --> 00:08:09.837 get created the just total embrace of AI 00:08:09.920 --> 00:08:13.117 and the the excitement and the desire to 00:08:13.200 --> 00:08:16.317 bring all of this agency and energy and 00:08:16.400 --> 00:08:20.477 you know speed to the future is awesome. 00:08:20.560 --> 00:08:24.797 Um I I don't know about you have a note but I think this is the biggest shift 00:08:24.880 --> 00:08:29.437 that has happened in the landscape of what a young person can accomplish in my 00:08:29.520 --> 00:08:33.197 entire life. >> Uh it's totally amazing to see and 00:08:33.280 --> 00:08:35.357 watching what people are doing is just incredible. 00:08:35.440 --> 00:08:38.157 >> India has its 100th anniversary of 00:08:38.240 --> 00:08:41.197 independence in 2047 00:08:41.280 --> 00:08:45.037 and I can't imagine a larger shift by 00:08:45.120 --> 00:08:48.637 that day than anybody 00:08:48.720 --> 00:08:53.037 would imagine. So imagine 2047 and what 00:08:53.120 --> 00:08:57.997 India might be like by then. We haven't prepped our question. We just wanted to 00:08:58.080 --> 00:09:01.437 have a conversation. >> I mean it's going to depend what all all 00:09:01.520 --> 00:09:04.637 of these people do. Uh you all will 00:09:04.720 --> 00:09:07.997 enter adulthood um with super 00:09:08.080 --> 00:09:12.317 intelligence and that's going to change things a lot. 00:09:12.400 --> 00:09:14.797 But that is an incredible opportunity. 00:09:14.880 --> 00:09:16.477 Uh, 00:09:16.560 --> 00:09:20.477 I have a one-year-old kid. Uh, and he is 00:09:20.560 --> 00:09:23.037 never going to know a world where he was 00:09:23.120 --> 00:09:27.757 smarter than a computer ever. He was born just at the right time to never 00:09:27.840 --> 00:09:29.597 outrun a computer. Uh, in raw 00:09:29.680 --> 00:09:33.197 intelligence. And, you know, for him 00:09:33.280 --> 00:09:38.077 it'll be totally normal life. For us, it's a big adaptation. For you all, it's 00:09:38.160 --> 00:09:39.917 like a little strange, but you know, 00:09:40.000 --> 00:09:42.237 you're excited about it. what people can 00:09:42.320 --> 00:09:46.877 do with GPUs now um will be the way that 00:09:46.960 --> 00:09:49.997 new value gets created in the world. Uh 00:09:50.080 --> 00:09:54.317 so I don't know what that's going to look like. Um the node doesn't know what 00:09:54.400 --> 00:09:57.837 that's going to look like. We got a bunch of highle guesses, but we're not 00:09:57.920 --> 00:10:02.077 going to be the ones that build that into uh all of these incredible new 00:10:02.160 --> 00:10:04.317 companies that people will do with that. 00:10:04.400 --> 00:10:08.637 Um examples that we both like are education is clearly going to totally 00:10:08.720 --> 00:10:11.997 change. Healthcare is clearly totally going to change. What it means to do 00:10:12.080 --> 00:10:13.837 work is going to totally change. 00:10:13.920 --> 00:10:16.637 Companies may be a few people and a 00:10:16.720 --> 00:10:19.117 giant data center and build incredible 00:10:19.200 --> 00:10:23.757 new kinds of value. Um what it means to do physical work will change as robots 00:10:23.840 --> 00:10:26.557 can automate more and more manufacturing. Certainly what it means 00:10:26.640 --> 00:10:28.637 to discover science is going to change. 00:10:28.720 --> 00:10:30.877 The growth rate of economic value in the 00:10:30.960 --> 00:10:36.157 world. Uh the increase in quality of life. A quote that someone from OpenAI 00:10:36.240 --> 00:10:37.437 said to me recently that has really 00:10:37.520 --> 00:10:41.517 stuck with me is we built up a lot of 00:10:41.600 --> 00:10:45.997 instincts and institutions, policies, uh 00:10:46.080 --> 00:10:50.477 structure to deal with a world of scarcity. But almost none of that 00:10:50.560 --> 00:10:52.477 applies well to a world of abundance. 00:10:52.560 --> 00:10:57.117 And in addition to building all these new kinds of companies uh and products 00:10:57.200 --> 00:11:00.557 and services, society is going to have to get reimagined for this world of 00:11:00.640 --> 00:11:04.237 incredible abundance. You've thought about this a lot. Yeah, I've spent a lot 00:11:04.320 --> 00:11:08.397 of time. Let's ask some practical questions. Do you think GDP rates on 00:11:08.480 --> 00:11:10.477 whatever is projected by economists 00:11:10.560 --> 00:11:13.677 today and every country has its 15 and 00:11:13.760 --> 00:11:18.877 25 year forecasts. Do you think they more double more than double? What 00:11:18.960 --> 00:11:21.757 happens? >> I think GDP is going to turn out to be a 00:11:21.840 --> 00:11:25.117 terrible metric um because AI is so 00:11:25.200 --> 00:11:29.277 deflationary. What we what we want to measure and I think what GDP is meant to 00:11:29.360 --> 00:11:31.437 approximate is sort of quality of life. 00:11:31.520 --> 00:11:35.117 Yeah. and quality of life. >> Technically, it's a definition of goods 00:11:35.200 --> 00:11:40.637 and services, but it's measured in dollars, which is money will be a whole 00:11:40.720 --> 00:11:44.317 different thing. >> Yeah. So, I think a proper metric of 00:11:44.400 --> 00:11:48.157 what GDP is trying to approximate will growth rate will more than double for 00:11:48.240 --> 00:11:50.477 sure. Um 00:11:50.560 --> 00:11:53.677 GDP measured in nominal dollars 00:11:53.760 --> 00:11:57.837 that probably gets kind of squirly actually to ask you a weird question. uh 00:11:57.920 --> 00:12:00.157 interest rates in five more years 00:12:00.240 --> 00:12:02.077 negative 2% or 20%. 00:12:02.160 --> 00:12:06.477 >> Um I think by 2035 for sure we will have 00:12:06.560 --> 00:12:09.837 a hugely deflationary economy that the 00:12:09.920 --> 00:12:12.317 world isn't thinking about. It's 00:12:12.400 --> 00:12:15.357 interesting because uh Google just 00:12:15.440 --> 00:12:19.757 issued 100-year bonds and I said by 2035 00:12:19.840 --> 00:12:22.557 you should own all those bonds because 00:12:22.640 --> 00:12:25.757 the world will be so deflationary that 00:12:25.840 --> 00:12:28.717 it's hard to imagine anybody pretending 00:12:28.800 --> 00:12:32.797 and this is sort of this notion of uh 00:12:32.880 --> 00:12:35.997 you know the world doesn't yet know 00:12:36.080 --> 00:12:38.157 how large the change is and they're 00:12:38.240 --> 00:12:41.997 going on as business as usual. Uh I 00:12:42.080 --> 00:12:44.317 think uh one of your engineers wrote a 00:12:44.400 --> 00:12:49.277 great manifesto. Um can you talk about that a little bit? 00:12:49.360 --> 00:12:51.837 >> Which manifesto? >> Uh people do a few of these 00:12:51.920 --> 00:12:53.437 >> forgetting the name. I just mentioned it 00:12:53.520 --> 00:12:57.757 earlier in the conversation. Um the uh 00:12:57.840 --> 00:13:02.077 essentially that the world is clueless about what's going on and the magnitude 00:13:02.160 --> 00:13:05.917 of the change. >> It'll come to me in just a second. I I 00:13:06.000 --> 00:13:08.157 think even people who work in AI, we 00:13:08.240 --> 00:13:10.317 feel a little bit clueless about the 00:13:10.400 --> 00:13:15.837 magnitude of the change. Codeex is an example. Uh by the way, Codex is growing 00:13:15.920 --> 00:13:19.037 in India faster than anywhere in the world. Uh and mostly with young people, 00:13:19.120 --> 00:13:23.757 but Codex is an example of where everyone's intuitions even though we 00:13:23.840 --> 00:13:25.917 knew this intellectually emotionally we 00:13:26.000 --> 00:13:28.957 were all hit by it. um we have like lots 00:13:29.040 --> 00:13:33.517 of codeax access inside of OpenAI and what it means to be an engineer uh what 00:13:33.600 --> 00:13:38.237 it means to be a researcher changed so much so quickly that I that is just 00:13:38.320 --> 00:13:39.517 going to happen again and again 00:13:39.600 --> 00:13:44.797 throughout the economy. Uh and 00:13:44.880 --> 00:13:48.397 if you believe which I do that the the 00:13:48.480 --> 00:13:51.197 top level driver of the economy and of 00:13:51.280 --> 00:13:55.997 life getting better and better every year is scientific discovery. And then 00:13:56.080 --> 00:14:00.157 the second most important thing is the economic engine around that that brings 00:14:00.240 --> 00:14:04.157 these new capabilities out into the world. And both of those are going to 00:14:04.240 --> 00:14:07.037 get automated at the same time. We're going to automate scientific progress. 00:14:07.120 --> 00:14:10.717 We're going to automate the whole economy. And you think about what that 00:14:10.800 --> 00:14:14.877 really would mean if these things can happen 10 times faster, 100 times faster 00:14:14.960 --> 00:14:17.677 than we've been able to do it on our own. 00:14:17.760 --> 00:14:21.437 We were not we did not evolve to have intuitions 00:14:21.520 --> 00:14:25.037 about that kind of a growth rate and that kind of compounding. So I don't 00:14:25.120 --> 00:14:29.997 know. But if you were back here as a student, what would you do tomorrow? 00:14:30.080 --> 00:14:31.837 >> No, I've I've thought about it a lot. 00:14:31.920 --> 00:14:35.837 The the way I frame the minimum level of 00:14:35.920 --> 00:14:38.157 change to imagine 00:14:38.240 --> 00:14:44.237 15 years from now. So imagine 2040. Uh 00:14:44.320 --> 00:14:48.397 I have to say I imagine life 00:14:48.480 --> 00:14:51.117 the delta being the same between now and 00:14:51.200 --> 00:14:55.037 2014 uh 20 240 as it is between today 00:14:55.120 --> 00:14:57.357 and 1970. 00:14:57.440 --> 00:15:01.197 So look back at technology in 1970. 00:15:01.280 --> 00:15:06.157 That's my assumption about Delta and I think that's too conservative a notion 00:15:06.240 --> 00:15:08.397 because >> I think that's too conservative. 00:15:08.480 --> 00:15:12.637 >> Yeah. So that's the magnitude of change 00:15:12.720 --> 00:15:15.517 and and people ask me so what should we 00:15:15.600 --> 00:15:18.477 do I say learn how to learn really 00:15:18.560 --> 00:15:22.797 really fast like your area of expertise 00:15:22.880 --> 00:15:25.597 doesn't matter whether you're electrical 00:15:25.680 --> 00:15:27.757 engineer or a mechanical engineer is 00:15:27.840 --> 00:15:31.037 largely going to be irrelevant in fact I 00:15:31.120 --> 00:15:35.437 scared the director a little bit saying nothing you learn will be relevant even 00:15:35.520 --> 00:15:39.757 in 2030 but when when the first year students 00:15:39.840 --> 00:15:41.277 graduate 00:15:41.360 --> 00:15:44.317 you won't have learned anything uh that 00:15:44.400 --> 00:15:46.957 the AI doesn't know better I know Sam if 00:15:47.040 --> 00:15:49.597 you agree with me or not 00:15:49.680 --> 00:15:52.237 you you won't know any technical field 00:15:52.320 --> 00:15:56.157 better uh you may understand better what 00:15:56.240 --> 00:15:59.037 people want uh you may understand much 00:15:59.120 --> 00:16:01.757 better how to interact with people 00:16:01.840 --> 00:16:06.957 motivate people uh how to come up with creative ideas how to sort of adapt 00:16:07.040 --> 00:16:11.837 quickly create value. Um but yeah, any any 00:16:11.920 --> 00:16:15.677 technical skill that you learn the AI will get better at. Uh it's still worth 00:16:15.760 --> 00:16:19.437 learning, you know, like someone asked me recently, do I regret learning to 00:16:19.520 --> 00:16:22.317 program? Um because, you know, clearly 00:16:22.400 --> 00:16:23.837 the AI is a better programmer than me. 00:16:23.920 --> 00:16:27.677 No. The and the answer is uh not at all. 00:16:27.760 --> 00:16:31.997 I also don't regret learning math. I never use math as an adult. Uh learning 00:16:32.080 --> 00:16:35.437 how to think, learning how to learn quickly. this was all a valuable skill, 00:16:35.520 --> 00:16:37.357 but it it was all of the meta- skills 00:16:37.440 --> 00:16:41.277 that matter. Um, I mean, the one the one 00:16:41.360 --> 00:16:45.437 thing that I think we could say with confidence of a specific skill to learn 00:16:45.520 --> 00:16:49.357 is when I was in school, learning to program was the obvious thing. Now, 00:16:49.440 --> 00:16:53.437 learning to use these tools is the obvious thing. And the fluency that 00:16:53.520 --> 00:16:58.157 people pick up with each new generation, if you sort of are pushing as much as 00:16:58.240 --> 00:17:02.077 possible on the edge, that that seems very valuable. If you're a college 00:17:02.160 --> 00:17:05.437 student, what do you think matters the most? 00:17:05.520 --> 00:17:09.837 What's what will matter when the technical knowledge they have doesn't 00:17:09.920 --> 00:17:12.397 matter? And an electrical engineer can 00:17:12.480 --> 00:17:14.877 do a structural engineer's job quite 00:17:14.960 --> 00:17:17.517 easily. And by the way, we building both 00:17:17.600 --> 00:17:20.237 structural engineers, chip designers, 00:17:20.320 --> 00:17:23.757 uh, and electrical engineers today. 00:17:23.840 --> 00:17:27.837 That'll be used pervasive everywhere. 00:17:27.920 --> 00:17:31.117 So, what do you think matters? 00:17:31.200 --> 00:17:35.517 >> Well, I I know I just said this, but I I can't emphasize enough how important I 00:17:35.600 --> 00:17:37.117 think it is to stay on the forefront of 00:17:37.200 --> 00:17:39.917 the tools. I expect that to be a 00:17:40.000 --> 00:17:43.437 compounding accelerant. Uh so, building 00:17:43.520 --> 00:17:47.757 projects all the time, just figure out what 00:17:47.840 --> 00:17:51.357 what's going to be possible and it's going to rapidly increase every couple 00:17:51.440 --> 00:17:53.997 of months from now now on that that 00:17:54.080 --> 00:17:57.997 really matters. Um the class that I wish 00:17:58.080 --> 00:18:01.597 my college had offered um 00:18:01.680 --> 00:18:03.517 the the motto of Y cominator is make 00:18:03.600 --> 00:18:06.397 something people want and it is I think 00:18:06.480 --> 00:18:09.677 for 20 years now been like the best 00:18:09.760 --> 00:18:13.437 motto of any investor. Um, and I wish my 00:18:13.520 --> 00:18:15.677 school had offered a class on that 00:18:15.760 --> 00:18:18.557 because I think that is a learnable 00:18:18.640 --> 00:18:22.957 skill figuring that out. And that's going to be ever more important in a 00:18:23.040 --> 00:18:26.557 world where in a world where you can sort of make 00:18:26.640 --> 00:18:31.117 anything happen. Figuring out how to get good ideas, which like anything else, 00:18:31.200 --> 00:18:33.277 deliberate practice seems to improve. 00:18:33.360 --> 00:18:36.157 Uh, that seems to matter a lot. 00:18:36.240 --> 00:18:39.357 >> Yeah. So my personal view what's most 00:18:39.440 --> 00:18:41.997 important to learn is curiosity and 00:18:42.080 --> 00:18:45.197 agency. Can you tell me if you agree, 00:18:45.280 --> 00:18:48.477 disagree, elaborate on that? 00:18:48.560 --> 00:18:51.517 I totally agree. Uh I think agency is 00:18:51.600 --> 00:18:54.717 also a learnable skill. Um the world 00:18:54.800 --> 00:18:58.957 kind of beats it out of you. So you have to you have to like resist and continue 00:18:59.040 --> 00:19:02.237 to believe that you can sort of figure anything and make anything happen. And 00:19:02.320 --> 00:19:04.157 the more times you do it, the more 00:19:04.240 --> 00:19:07.757 self-belief you develop. Um, many people 00:19:07.840 --> 00:19:09.997 learn this late in their careers. It is 00:19:10.080 --> 00:19:12.877 super valuable to learn early. Like 00:19:12.960 --> 00:19:16.077 other things, you just have to start and 00:19:16.160 --> 00:19:17.597 you have to keep doing it and you'll 00:19:17.680 --> 00:19:21.037 develop confidence in it. But the the 00:19:21.120 --> 00:19:25.277 returns on agency clearly have never been higher. You know, we've talked for 00:19:25.360 --> 00:19:28.317 a long time about what one person is going to be able to do with AI. We're 00:19:28.400 --> 00:19:30.717 finally seeing it now. um a single 00:19:30.800 --> 00:19:32.557 person with drive and an idea and 00:19:32.640 --> 00:19:35.357 willpower um can make incredible things 00:19:35.440 --> 00:19:38.717 happen. And in some sense, the most 00:19:38.800 --> 00:19:43.037 important learning of my entire career has been that if you are right on the 00:19:43.120 --> 00:19:46.557 idea, no matter how unpopular it is, in fact, it's often better to be unpopular 00:19:46.640 --> 00:19:51.277 because you have no one else you're competing with doing it and you stick 00:19:51.360 --> 00:19:55.437 with unwavering conviction over a long time and you just knock down obstacle 00:19:55.520 --> 00:19:59.997 after obstacle with no loss of enthusiasm between each setback, uh, you 00:20:00.080 --> 00:20:03.997 can accomplish amazing things. This was certainly the story of OpenAI. Um, now 00:20:04.080 --> 00:20:05.757 it obviously looks like a great thing, 00:20:05.840 --> 00:20:09.517 but when we started it seemed totally 00:20:09.600 --> 00:20:14.077 crazy and it was just like a bunch of us were in a room with force of will and 00:20:14.160 --> 00:20:17.677 sort of a attitude that we were going to do it no matter what. And then even the 00:20:17.760 --> 00:20:20.877 first like four or five years of opening eye, it was sort of it seemed like a 00:20:20.960 --> 00:20:22.557 very bad idea. Thank you for believing 00:20:22.640 --> 00:20:27.037 in it by the way. Um, and the agency 00:20:27.120 --> 00:20:30.477 that we had all developed earlier in our careers, which I wish we had developed 00:20:30.560 --> 00:20:33.917 even earlier, was critical to making it happen. 00:20:34.000 --> 00:20:37.037 Yeah, I I would say you heard a couple 00:20:37.120 --> 00:20:41.277 of quotes. Uh I think uh one said 00:20:41.360 --> 00:20:44.157 the the best way to predict the future 00:20:44.240 --> 00:20:47.917 is to invent it. I go on to add to it. 00:20:48.000 --> 00:20:50.157 That was Alan K who said that and I say 00:20:50.240 --> 00:20:53.517 invent the future you want because now 00:20:53.600 --> 00:20:56.557 more than ever that's possible. The key 00:20:56.640 --> 00:20:59.197 is agency and it's always been available 00:20:59.280 --> 00:21:04.077 where you can make the world you want happen. The director said uh I was part 00:21:04.160 --> 00:21:05.917 of four students who started the first 00:21:06.000 --> 00:21:08.877 computer programming club at IIT Delhi 00:21:08.960 --> 00:21:12.797 which was any programming in any IT 00:21:12.880 --> 00:21:15.677 had never existed. We just wanted it so 00:21:15.760 --> 00:21:18.637 we made it happen. Um I also with 00:21:18.720 --> 00:21:21.837 professor gua here in 1970s 00:21:21.920 --> 00:21:25.997 started the biomedical engineering program which is the other side which is 00:21:26.080 --> 00:21:28.717 I got curious as an electrical engineer 00:21:28.800 --> 00:21:31.757 about electrical phenomena in the body 00:21:31.840 --> 00:21:34.717 and convinced professor guad to start 00:21:34.800 --> 00:21:37.437 the first biomed program anywhere in 00:21:37.520 --> 00:21:40.637 India with the allindia institute of 00:21:40.720 --> 00:21:42.877 medical sciences. I give that as example 00:21:42.960 --> 00:21:47.597 of I was 16 or 17. You can make anything 00:21:47.680 --> 00:21:49.757 happen if you want to and that's what 00:21:49.840 --> 00:21:52.557 agency is about. And when technology and 00:21:52.640 --> 00:21:55.837 tools make almost anything possible 00:21:55.920 --> 00:21:58.317 agency is what matters. Curiosity for 00:21:58.400 --> 00:21:59.917 learning and always staying at the 00:22:00.000 --> 00:22:03.437 leading edge and agency to make the 00:22:03.520 --> 00:22:08.157 world happen. There's never been an opportunity to do startups. I'm very 00:22:08.240 --> 00:22:11.277 excited by this little company we invested in. They approached me a few 00:22:11.360 --> 00:22:14.157 months ago. Um, Emergent launched a 00:22:14.240 --> 00:22:16.397 product in July or August. Last week 00:22:16.480 --> 00:22:18.397 they called me and said they'd exceeded 00:22:18.480 --> 00:22:23.037 100 million ARR rate in 8 months, the 00:22:23.120 --> 00:22:25.677 fastest I've seen anybody grow, even 00:22:25.760 --> 00:22:28.157 Lovable or Replet or any of those 00:22:28.240 --> 00:22:31.517 companies. Um, so that opportunity 00:22:31.600 --> 00:22:36.397 exists for all of you. I don't know if you want to do a finishing comment. 00:22:36.480 --> 00:22:40.637 >> Uh, I can't really say anything better than that. uh this is like a special 00:22:40.720 --> 00:22:42.797 time like I I this is I think the best 00:22:42.880 --> 00:22:47.597 time ever to be starting off careers uh 00:22:47.680 --> 00:22:49.517 and yeah the opportunity is incredible. 00:22:49.600 --> 00:22:53.997 >> Yeah, I'll finish by a last quote I have 00:22:54.080 --> 00:22:56.797 uh most people especially in India are 00:22:56.880 --> 00:22:59.677 especially averse to risk. There's a 00:22:59.760 --> 00:23:02.877 Harvard Business School where the case 00:23:02.960 --> 00:23:04.797 that starts with a quote from me saying, 00:23:04.880 --> 00:23:08.237 "My willingness to fail allows me to 00:23:08.320 --> 00:23:10.877 succeed." So, I really encourage all of 00:23:10.960 --> 00:23:13.757 you to go be risktaking. 00:23:13.840 --> 00:23:18.157 There's so much opportunity to take advantage of it, take advantage of 00:23:18.240 --> 00:23:20.557 tools, curiosity, 00:23:20.640 --> 00:23:24.237 um, agency, risk takingaking, and then 00:23:24.320 --> 00:23:26.557 persistence because the path is never 00:23:26.640 --> 00:23:29.517 simple or or smooth. So you have to 00:23:29.600 --> 00:23:34.877 persist through the hard times. Thank you. I think there's we are at the end 00:23:34.960 --> 00:23:38.600 of our talk. >> Okay. 00:23:38.960 --> 00:23:41.037 >> Uh what a wonderful conversation guys. 00:23:41.120 --> 00:23:43.117 Uh we had Miss Anita Williams a month 00:23:43.200 --> 00:23:46.317 back and the idea that learning is such 00:23:46.400 --> 00:23:50.317 an important thing for for such huge personas for such huge stalwarts. I 00:23:50.400 --> 00:23:52.317 think that is one of the most humbling 00:23:52.400 --> 00:23:55.757 things we learn here today. Uh now we'd 00:23:55.840 --> 00:23:59.917 like to open up the floor uh for students to ask their own questions. For 00:24:00.000 --> 00:24:01.997 this I'd like to invite on stage Mr. 00:24:02.080 --> 00:24:07.117 Raghav Gupta the head of education for open AI in India. Uh he's currently 00:24:07.200 --> 00:24:11.197 leading leading partnerships with academic institutions ensuring that AI 00:24:11.280 --> 00:24:16.840 is integrated responsibly across all dimensions. 00:24:19.840 --> 00:24:21.997 >> Good morning. It's incredible seeing a 00:24:22.080 --> 00:24:25.437 packed hall. Um Sam, I know you have a 00:24:25.520 --> 00:24:30.477 packed uh few days in India and there are many senior meetings but uh to me it 00:24:30.560 --> 00:24:33.117 seems like this is going to be the most exciting session. Would you would you 00:24:33.200 --> 00:24:35.917 agree? I do. And I'd love to ask the 00:24:36.000 --> 00:24:37.517 students as well. Are you all excited 00:24:37.600 --> 00:24:42.317 for this conversation? Uh I mean come on 00:24:42.400 --> 00:24:45.357 now you we can do better. 00:24:45.440 --> 00:24:50.200 Are you all excited for this conversation with Sam? 00:24:50.880 --> 00:24:55.517 So, so we have some of India's uh bright young minds here and they're studying 00:24:55.600 --> 00:24:58.877 engineering, they're studying computer science, I think we have health 00:24:58.960 --> 00:25:02.317 sciences, management, design and so on. 00:25:02.400 --> 00:25:05.277 Um I think you all sent us like 800 plus 00:25:05.360 --> 00:25:07.517 questions. Uh we can't take all 800 but 00:25:07.600 --> 00:25:10.397 I've shortlisted the broad themes and 00:25:10.480 --> 00:25:13.917 we'll invite you to ask them live. Um 00:25:14.000 --> 00:25:18.317 I'll kick us off a little bit. U Sam you wrote this um article in Times of India 00:25:18.400 --> 00:25:21.997 earlier this week and the headline kind of captured your message very nicely 00:25:22.080 --> 00:25:24.797 where it said that um AI will define 00:25:24.880 --> 00:25:28.877 India's future and um India will define 00:25:28.960 --> 00:25:32.397 AI's future as well and I know at the AI summit you've seen a lot of what's 00:25:32.480 --> 00:25:35.837 happening around uh development in AI would you like to talk a little bit 00:25:35.920 --> 00:25:38.557 about your impressions u there 00:25:38.640 --> 00:25:40.317 >> India is already our second largest 00:25:40.400 --> 00:25:43.997 market there's 100 million chatbt users 00:25:44.080 --> 00:25:47.437 a third of them are students fastest growing codex market in the world. India 00:25:47.520 --> 00:25:49.597 should be our largest market over time. 00:25:49.680 --> 00:25:52.317 More than just usage of products like 00:25:52.400 --> 00:25:54.957 Chachi PT that the building energy in 00:25:55.040 --> 00:25:57.837 India um seems like it is growing faster 00:25:57.920 --> 00:26:02.397 than anywhere else. The desire to really create new kinds of products and 00:26:02.480 --> 00:26:07.037 services, brand new companies that are all about AI. Uh this is Yeah, it's just 00:26:07.120 --> 00:26:09.277 amazing and so it's been great to be here. 00:26:09.360 --> 00:26:11.277 >> Wonderful. Um so we're going to go to 00:26:11.360 --> 00:26:13.917 the students next and u we'll open it up 00:26:14.000 --> 00:26:16.957 live. I I think we have Mukund who's 00:26:17.040 --> 00:26:21.517 going to ask the first question and Mukund is from IIT Delhi. Uh let's get 00:26:21.600 --> 00:26:26.477 get started with Mukund then. >> Hi Sam, I'm Mukun from the department of 00:26:26.560 --> 00:26:30.557 mathematics IT Delhi. I'm in my final year pursuing a integrated master's 00:26:30.640 --> 00:26:34.237 degree. So my question is you have talked about intelligence becoming a 00:26:34.320 --> 00:26:38.877 cheap utility but we are seeing a specialized high reasoning models being 00:26:38.960 --> 00:26:43.117 gated by premium subscriptions. So how do you reconcile the concept of broad 00:26:43.200 --> 00:26:45.597 access uh with the economic viability of 00:26:45.680 --> 00:26:48.077 these frontier models? 00:26:48.160 --> 00:26:52.077 >> I think the most amazing thing well 00:26:52.160 --> 00:26:55.117 there's many amazing things I can't say the most. One of the amazing things 00:26:55.200 --> 00:26:57.517 happening is the rate at which AI is 00:26:57.600 --> 00:26:59.197 getting cheaper at a given level of 00:26:59.280 --> 00:27:03.197 intelligence. Um, we are, if you look at 00:27:03.280 --> 00:27:05.197 a hard reasoning problem, what it would 00:27:05.280 --> 00:27:06.957 have cost you to solve it using an 00:27:07.040 --> 00:27:10.637 OpenAI API um, a year and a half ago 00:27:10.720 --> 00:27:14.157 versus now, it's down about a,000x. 00:27:14.240 --> 00:27:19.037 A,000x in 18 months is just that doesn't happen very often. Um, I don't think 00:27:19.120 --> 00:27:23.197 we'll be able to sustain another thousandx over the next 18 months, but 00:27:23.280 --> 00:27:25.517 maybe we will, but there will be a 00:27:25.600 --> 00:27:30.477 significant decrease in in cost. So our 00:27:30.560 --> 00:27:32.797 goal here is to relentlessly drive the 00:27:32.880 --> 00:27:34.397 cost of intelligence down as close to 00:27:34.480 --> 00:27:37.997 zero as we can. Um and then make that 00:27:38.080 --> 00:27:40.717 available to the world as a very lowcost 00:27:40.800 --> 00:27:44.637 asset. Uh and for a bunch of reasons uh 00:27:44.720 --> 00:27:48.557 accessibility being one of them. That's that's a critical part of our mission. 00:27:48.640 --> 00:27:51.437 Um there are going to be a bunch of 00:27:51.520 --> 00:27:53.757 societal disruptions around that. Like 00:27:53.840 --> 00:27:58.317 part of society has maybe 00:27:58.400 --> 00:28:01.677 We talked earlier about this issue of um 00:28:01.760 --> 00:28:05.357 abundance versus scarcity, but society has been used to intelligence being a 00:28:05.440 --> 00:28:09.997 relatively scarce resource. Um also the ability to make things happen in the 00:28:10.080 --> 00:28:14.077 physical world, energy, robotics, whatever. If all of that changes, I 00:28:14.160 --> 00:28:16.557 don't think society yet has a consensus 00:28:16.640 --> 00:28:18.717 on how things are going to work and 00:28:18.800 --> 00:28:24.157 where the the limits, the natural limits are going to be. But I do think the cost 00:28:24.240 --> 00:28:28.637 of intelligence is going to trend down and down and in terms of empowering the 00:28:28.720 --> 00:28:30.797 entire world that's very important. 00:28:30.880 --> 00:28:34.397 >> Uh we'll go to uh Tjis next who's also 00:28:34.480 --> 00:28:38.557 from IIT Delhi and I know the director also spoke a little bit about uh safety 00:28:38.640 --> 00:28:41.357 and I think Tjis your question is related to that. So go ahead please. 00:28:41.440 --> 00:28:45.277 >> Yeah. Hi Sam, I'm the Raj Mangala. I'm currently a final year student here at 00:28:45.360 --> 00:28:47.597 IT Delhi. I'm pursuing my bachelor's in 00:28:47.680 --> 00:28:50.077 computational mechanics. Uh my question 00:28:50.160 --> 00:28:53.277 for you is how do we keep AI safe 00:28:53.360 --> 00:28:57.757 without blocking innovation from things like prompt injection that are happening 00:28:57.840 --> 00:28:59.437 recently? 00:28:59.520 --> 00:29:02.957 I I think there's three things here. Um 00:29:03.040 --> 00:29:05.757 one, we have to figure out how to 00:29:05.840 --> 00:29:11.197 technically align AI. Um we have made better progress there than I thought we 00:29:11.280 --> 00:29:14.157 might have, but there's still things to do as we get to these systems that are 00:29:14.240 --> 00:29:17.037 truly much smarter than we are. How we 00:29:17.120 --> 00:29:19.437 supervise those systems 00:29:19.520 --> 00:29:21.517 requires new ideas. As we get to a world 00:29:21.600 --> 00:29:25.037 where AI is writing so much source code 00:29:25.120 --> 00:29:28.717 and doing so much research, we can't review all of it. There's a bunch of 00:29:28.800 --> 00:29:30.237 things that used to feel like sci-fi 00:29:30.320 --> 00:29:32.957 that are now clear alignment challenges 00:29:33.040 --> 00:29:35.997 that we have to that we have to address. 00:29:36.080 --> 00:29:38.877 Um, we've been doing work here for a while. Other labs have been doing work 00:29:38.960 --> 00:29:41.357 here for a while. On the whole, 00:29:41.440 --> 00:29:44.317 alignment has looked easier than I 00:29:44.400 --> 00:29:46.637 feared, but we're clearly not done. So, 00:29:46.720 --> 00:29:49.517 bucket one is technical safety work 00:29:49.600 --> 00:29:52.957 around alignment. Two is there's a whole 00:29:53.040 --> 00:29:56.797 new kind of security infrastructure that needs to get built. You mentioned prompt 00:29:56.880 --> 00:29:58.157 injection. I think that's a great 00:29:58.240 --> 00:30:01.597 example. Open claw is an amazing thing. 00:30:01.680 --> 00:30:05.997 Codeex is an amazing thing. I thought that I was going to be a very 00:30:06.080 --> 00:30:10.957 disciplined person and not let them run on my computer with root access uh 00:30:11.040 --> 00:30:14.157 because I thought that was an insane thing to do and that lasted about two 00:30:14.240 --> 00:30:17.917 hours and then I was like gh it's really annoying to approve everything. It's so 00:30:18.000 --> 00:30:21.037 convenient. I want to just I'm going to just like let it rip. And if I'm willing 00:30:21.120 --> 00:30:23.677 to do that a lot of other people will be willing to do that too. I should be one 00:30:23.760 --> 00:30:28.397 of the more conservative ones there. So I think we need to develop a a new kind 00:30:28.480 --> 00:30:31.997 of security architecture different from the 00:30:32.080 --> 00:30:34.797 model technical alignment to let people 00:30:34.880 --> 00:30:39.357 be able to use these agents without insane things happening. Like it is 00:30:39.440 --> 00:30:43.037 awesome that you can run something on your computer and it can get to know 00:30:43.120 --> 00:30:46.237 everything about your life and record your screen and use the web for you and 00:30:46.320 --> 00:30:50.397 everything else. Um it will be significantly less awesome if it starts 00:30:50.480 --> 00:30:54.957 like randomly telling your secrets to people it shouldn't. Um and then third 00:30:55.040 --> 00:30:57.037 and most important 00:30:57.120 --> 00:30:58.637 you mentioned not blocking innovation. I 00:30:58.720 --> 00:31:04.317 super agree. Uh the the kind of like these are caricatures because everybody 00:31:04.400 --> 00:31:05.597 is a little bit in the middle but the 00:31:05.680 --> 00:31:07.277 kind of the two paths the world is 00:31:07.360 --> 00:31:11.437 looking at right now is either we accept 00:31:11.520 --> 00:31:15.437 you know an AI company or country or model having sort of effective 00:31:15.520 --> 00:31:18.077 totalitarian control over the world for 00:31:18.160 --> 00:31:21.117 no safety problems at all. You have one 00:31:21.200 --> 00:31:23.037 AI to rule them all. has been people's 00:31:23.120 --> 00:31:25.837 vision over time. Um the other is that 00:31:25.920 --> 00:31:29.277 we superdemocratize access and we put 00:31:29.360 --> 00:31:33.757 powerful AI in everyone's hands and we trust that if you you know out of a 100 00:31:33.840 --> 00:31:37.117 people 99 are going to be good one person bad the good people will stop the 00:31:37.200 --> 00:31:40.797 bad some things are going to go wrong in that world people are for sure going to 00:31:40.880 --> 00:31:43.437 misuse AI uh in small and probably in 00:31:43.520 --> 00:31:47.437 big ways um but for a long time the 00:31:47.520 --> 00:31:51.837 world I think has shown that if people are basically most people are good and 00:31:51.920 --> 00:31:54.397 the good people stop the bad people as long as there's not a huge power 00:31:54.480 --> 00:31:56.797 imbalance. We can get to a world where 00:31:56.880 --> 00:31:59.997 we democratize AI. Everybody lifts up 00:32:00.080 --> 00:32:02.317 and that kind of keeps the new powerful 00:32:02.400 --> 00:32:07.037 bad forces in check. This is the story of of 00:32:07.120 --> 00:32:09.277 society for a long time. It will be 00:32:09.360 --> 00:32:14.077 messy. Things will go wrong. Um but 00:32:14.160 --> 00:32:18.317 I think empowering everyone and having a wide distribution of power is the best 00:32:18.400 --> 00:32:20.957 fairest and safest path forward. We call 00:32:21.040 --> 00:32:25.357 this resilience. So instead of just there's a alignment, there's security 00:32:25.440 --> 00:32:29.757 and then there's this newer idea of resilience where I think it no longer 00:32:29.840 --> 00:32:33.117 works for open AI to just say we will block our models from telling people how 00:32:33.200 --> 00:32:36.797 to make a pathogen because some open source model is going to help some bad 00:32:36.880 --> 00:32:40.477 guy make a pathogen and we have to have society ready to defend against that 00:32:40.560 --> 00:32:43.037 with rapid response vaccines sort of new 00:32:43.120 --> 00:32:45.037 ways to block respiratory transmission 00:32:45.120 --> 00:32:48.237 whatever else. Um yeah that's what I 00:32:48.320 --> 00:32:50.317 would say. So the next question is from 00:32:50.400 --> 00:32:52.157 Yash and he's not here so I'll read it 00:32:52.240 --> 00:32:55.997 out on his behalf. Um I read that uh a 00:32:56.080 --> 00:32:57.837 lot of research behind study mode in 00:32:57.920 --> 00:33:01.037 chat GPT happened in India last year and 00:33:01.120 --> 00:33:05.517 so if OpenAI were to build a product specifically for India not adapted but 00:33:05.600 --> 00:33:10.237 designed for India first what problem would you want to it to solve? 00:33:10.320 --> 00:33:11.837 >> I would rather one of you figure out the 00:33:11.920 --> 00:33:15.997 answer to that. Um, we 00:33:16.080 --> 00:33:17.677 way more innovation is going to happen 00:33:17.760 --> 00:33:20.077 outside of OpenAI than inside of OpenAI. 00:33:20.160 --> 00:33:23.357 And our strategy is to build the core 00:33:23.440 --> 00:33:25.917 model and the basic way to use it, 00:33:26.000 --> 00:33:28.877 ChachiBT, the API agents like Codex and 00:33:28.960 --> 00:33:30.797 the general agent and really empower 00:33:30.880 --> 00:33:33.117 everybody else to build it. Um, one of 00:33:33.200 --> 00:33:36.077 my learnings from OpenAI is that most 00:33:36.160 --> 00:33:38.477 innovation in the world uh comes from 00:33:38.560 --> 00:33:42.797 startups and we want to empower them. 00:33:42.880 --> 00:33:46.317 Um I think we're going to shift gears a little bit to a health related question 00:33:46.400 --> 00:33:52.077 which is uh going to come from Aish from as you have the microphone. Yeah, go 00:33:52.160 --> 00:33:54.957 ahead. >> Hello. Uh my name is Arnesh. I'm a 00:33:55.040 --> 00:33:57.437 thirdyear medical student at as uh New 00:33:57.520 --> 00:34:00.557 Delhi and uh my question is about uh 00:34:00.640 --> 00:34:03.837 Chad GBD health. So uh we know that Chad 00:34:03.920 --> 00:34:06.557 GBT health connects to Apple health and 00:34:06.640 --> 00:34:11.357 medical records but uh in India people 00:34:11.440 --> 00:34:14.397 uh most people have neither they have uh 00:34:14.480 --> 00:34:17.517 mostly just a phone. So my question is 00:34:17.600 --> 00:34:21.037 uh how would you rethink uh health AI in 00:34:21.120 --> 00:34:24.877 a country like India? >> I love using chat for health. I don't 00:34:24.960 --> 00:34:29.517 have it connected to anything. I type in lots of notes. Every time I get like a 00:34:29.600 --> 00:34:33.037 blood test or something, I upload it. If every time I have symptoms, I type it 00:34:33.120 --> 00:34:35.597 in. It works really well without medical 00:34:35.680 --> 00:34:38.397 records. Um, we'd love to connect to any 00:34:38.480 --> 00:34:40.557 platforms that emerge in India as 00:34:40.640 --> 00:34:44.157 important platforms, but one of a huge 00:34:44.240 --> 00:34:46.957 volume of chat GBT is health related 00:34:47.040 --> 00:34:51.597 queries and with no connectors at all, we've worked to make it very good. 00:34:51.680 --> 00:34:54.637 >> Um, I think you'll like the next question uh which is going to come from 00:34:54.720 --> 00:34:57.997 Vijay uh who's from IIT Delhi. Uh Vijay 00:34:58.080 --> 00:35:02.477 you have the microphone. Uh hi Sam I'm Vijay uh I'm a third year student at IIT 00:35:02.560 --> 00:35:07.357 Delhi in computer science department. So I would like to know um how would I 00:35:07.440 --> 00:35:11.037 undergrads be able to join OpenAI directly and what are the current and 00:35:11.120 --> 00:35:13.917 future objectives of OpenAI's office in 00:35:14.000 --> 00:35:19.720 India? Uh we would love for you to join OpenAI. 00:35:22.480 --> 00:35:24.477 Um, we would love for you to join join 00:35:24.560 --> 00:35:27.437 OpenAI either in our office in India or 00:35:27.520 --> 00:35:30.477 in the US. I think these next couple of 00:35:30.560 --> 00:35:33.037 years are going to be the most exciting 00:35:33.120 --> 00:35:38.797 years yet in the development of AI. Um, and the coolest, well, hopefully there's 00:35:38.880 --> 00:35:41.837 a lot of cool parts about being an open eye, but I think the coolest part is you 00:35:41.920 --> 00:35:45.757 get to see the future and use the tools like six months before everybody else. 00:35:45.840 --> 00:35:49.757 And the work that that enables in the development process is awesome. So, we 00:35:49.840 --> 00:35:52.637 would love to hear from you. By the way, you can ask me like harder, more 00:35:52.720 --> 00:35:53.997 controversial questions. I won't be 00:35:54.080 --> 00:35:57.597 offended. Like go for it. 00:35:57.680 --> 00:36:01.597 I like those. And I think you might have seen uh you know, we have an office in 00:36:01.680 --> 00:36:05.837 Delhi. We've just announced offices in Bangalore and Mumbai as well. So the 00:36:05.920 --> 00:36:07.757 team is growing rapidly. So would love 00:36:07.840 --> 00:36:11.597 to engage on this conversation. Um okay, 00:36:11.680 --> 00:36:14.717 we're going to go to Sahed next. Uh 00:36:14.800 --> 00:36:19.437 Sahi, sorry. Um who's from Amiti University and you have the microphone. 00:36:19.520 --> 00:36:22.637 Hi Sam, I'm Sah. I'm from Amit University. I'm a 30-year student 00:36:22.720 --> 00:36:25.197 pursuing artificial intelligence in AI 00:36:25.280 --> 00:36:27.837 in Amit University. So my question is in 00:36:27.920 --> 00:36:30.157 today's market where 18 year olds are 00:36:30.240 --> 00:36:33.037 competing for jobs with AI, what unfair 00:36:33.120 --> 00:36:37.837 advantage do we humans have a lot uh 00:36:37.920 --> 00:36:43.037 watching the very best people now work with AI is really incredible and so 00:36:43.120 --> 00:36:46.237 different than a year ago. But you watch these people that have like six monitors 00:36:46.320 --> 00:36:47.997 on their desk, three agents per monitor 00:36:48.080 --> 00:36:53.277 like going session by session. One person can do what a team of 00:36:53.360 --> 00:36:54.797 um 00:36:54.880 --> 00:36:57.837 a lot of engineers used to take to do. 00:36:57.920 --> 00:37:01.357 And when you can keep a whole problem in 00:37:01.440 --> 00:37:06.317 one human head and manage a bunch of agents, you are able to bring things to 00:37:06.400 --> 00:37:11.197 life at a speed and quality level you just couldn't do before. Um, and there's 00:37:11.280 --> 00:37:14.717 still, this may change something in the future, but there's still something that 00:37:14.800 --> 00:37:18.797 humans are so good at, that AI is so bad at about thinking through the sort of 00:37:18.880 --> 00:37:21.277 like highle strategy of a system or a 00:37:21.360 --> 00:37:25.197 product or whatever. Um, that people who 00:37:25.280 --> 00:37:27.597 are proficient at using AI have a huge 00:37:27.680 --> 00:37:32.797 advantage uh, not just over AI, but over other people who are not doing that. uh 00:37:32.880 --> 00:37:34.557 in the long-term future, I don't know 00:37:34.640 --> 00:37:36.157 exactly what the advantage will look 00:37:36.240 --> 00:37:41.117 like will be, but um we seem so wired to 00:37:41.200 --> 00:37:43.117 care about other people and care so 00:37:43.200 --> 00:37:48.557 little about machines uh that 00:37:48.640 --> 00:37:52.797 somehow that feels like it's going to be part of whatever the answer is. 00:37:52.880 --> 00:37:55.757 So the next question is a little linked to what the prime minister said 00:37:55.840 --> 00:37:57.997 yesterday as well and you know he said 00:37:58.080 --> 00:37:59.437 there are two kinds of people in the 00:37:59.520 --> 00:38:03.277 world. one who think that AI is fearful, 00:38:03.360 --> 00:38:07.677 the others who are very you know excited about the future of what AI can bring 00:38:07.760 --> 00:38:11.517 and I think the next question is a little bit about jobs and you know that 00:38:11.600 --> 00:38:13.837 comes up often of course uh which is 00:38:13.920 --> 00:38:17.117 from uh Guru Dhanush. So go ahead Chris. 00:38:17.200 --> 00:38:20.877 >> Hi sir, my name is Guru Danush. I am a second year BK student in mathematics 00:38:20.960 --> 00:38:25.277 and computing. My question is what do you say to the workers who fear that 00:38:25.360 --> 00:38:27.357 their jobs will be outdated in next five 00:38:27.440 --> 00:38:29.277 years and what skills should they be 00:38:29.360 --> 00:38:32.557 focusing on now? Anyone who says they're 00:38:32.640 --> 00:38:35.997 only excited or only fearful about AI is 00:38:36.080 --> 00:38:39.597 I think not being very thoughtful. I don't think it's two camps. I think 00:38:39.680 --> 00:38:41.837 there's a continuum of people based on 00:38:41.920 --> 00:38:44.157 whether you're 90% excited and 10% 00:38:44.240 --> 00:38:47.677 fearful or 90% fearful and 10% excited. 00:38:47.760 --> 00:38:51.757 But as with any change of this magnitude 00:38:51.840 --> 00:38:54.077 happening this quickly, um, and with 00:38:54.160 --> 00:38:59.197 this much unknown, this much promise, this much obvious peril, um, it's it you 00:38:59.280 --> 00:39:02.397 you have to be somewhere on that spectrum. You can't it can't be sort of 00:39:02.480 --> 00:39:05.757 at at either end. Um, 00:39:05.840 --> 00:39:08.637 a big part of that is what the impact on 00:39:08.720 --> 00:39:11.997 jobs is going to be. And 00:39:12.080 --> 00:39:15.917 I will caveat this with lots of other things by AI by saying that no one 00:39:16.000 --> 00:39:18.077 really knows including us. There will be 00:39:18.160 --> 00:39:21.437 many surprises. Um, some jobs will 00:39:21.520 --> 00:39:25.917 totally go away. Many jobs will not 00:39:26.000 --> 00:39:31.357 change as much as it seems like they should with AI because we have, you 00:39:31.440 --> 00:39:35.517 know, we want someone else to be doing that. we still go want a human doctor to 00:39:35.600 --> 00:39:37.517 tell us things even if they we know the 00:39:37.600 --> 00:39:40.077 AI gives better advice or any many other 00:39:40.160 --> 00:39:42.717 set of examples. Uh or you know 00:39:42.800 --> 00:39:47.437 entrepreneurs will still start companies they'll just grow faster and they'll do 00:39:47.520 --> 00:39:50.637 more and it'll be more disruptive to existing jobs. 00:39:50.720 --> 00:39:54.477 And then most of all, 00:39:54.560 --> 00:39:58.317 every time in history that there's been a major technological shift, we have 00:39:58.400 --> 00:40:01.677 underestimated how quickly the new jobs are going to 00:40:01.760 --> 00:40:02.797 come and how different they were going 00:40:02.880 --> 00:40:07.037 to be. It'd be very hard to think about 00:40:07.120 --> 00:40:11.037 my job, for example, before computers were invented. Um, and impossible to 00:40:11.120 --> 00:40:12.557 think about my job before, say, the 00:40:12.640 --> 00:40:15.437 industrial revolution. Um, there are 00:40:15.520 --> 00:40:18.477 jobs now that are 00:40:18.560 --> 00:40:20.557 incredibly good jobs that didn't exist 00:40:20.640 --> 00:40:23.597 as a category 20 years ago, even if 00:40:23.680 --> 00:40:26.637 someone from 500 years ago could look at 00:40:26.720 --> 00:40:29.997 the jobs of the world today, um, 00:40:30.080 --> 00:40:32.397 generally speaking, they would say about 00:40:32.480 --> 00:40:35.597 many of the jobs, um, certainly my job, 00:40:35.680 --> 00:40:40.077 you know, death's not a real job. You're doing fine. You could, you don't have to 00:40:40.160 --> 00:40:43.517 be working. You're like, you've got plenty of food. you've got access to 00:40:43.600 --> 00:40:46.557 great shelter. Like this is this is not 00:40:46.640 --> 00:40:47.837 a job they could have imagined and it 00:40:47.920 --> 00:40:51.437 wouldn't look like real work. I hope 00:40:51.520 --> 00:40:55.357 100 years from now, not even 500, we would all look at the jobs and be like, 00:40:55.440 --> 00:40:59.357 "Those people are impossibly rich. They have everything they could ever want. 00:40:59.440 --> 00:41:03.677 They are making up ways to spend their time to entertain themselves. It's a, 00:41:03.760 --> 00:41:07.437 you know, it's a player of game style existence. They don't really need this." 00:41:07.520 --> 00:41:10.157 Um, and 00:41:10.240 --> 00:41:13.037 that is sort of the history of society 00:41:13.120 --> 00:41:17.837 building up more collective welfare for each other. 00:41:17.920 --> 00:41:21.437 Uh, and I think that's great, but we never 00:41:21.520 --> 00:41:24.957 run out of things to do. We have never gotten to the sort of like thing that 00:41:25.040 --> 00:41:28.477 people have theorized for for centuries now, which is technology is going to 00:41:28.560 --> 00:41:31.757 progress so much that we just sit around and do nothing. We find new things to 00:41:31.840 --> 00:41:35.437 do. We find new ways to express our creativity. Um, we find new ways to be 00:41:35.520 --> 00:41:36.957 useful to each other. you find new ways 00:41:37.040 --> 00:41:39.517 to, you know, gain status or whatever, 00:41:39.600 --> 00:41:42.477 whatever it is. Uh 00:41:42.560 --> 00:41:47.357 many of you will eventually do jobs that don't exist today even really as a 00:41:47.440 --> 00:41:50.797 concept. It doesn't mean that the transition is 00:41:50.880 --> 00:41:53.037 not painful. I expect for many people it 00:41:53.120 --> 00:41:56.077 will be very painful. Um 00:41:56.160 --> 00:41:59.357 as society gets richer quickly, I hope 00:41:59.440 --> 00:42:04.637 we find new socioeconomic models to make it less painful. But I'm less worried 00:42:04.720 --> 00:42:07.997 about the long-term future. And I think we'll find new things to do in in not 00:42:08.080 --> 00:42:10.317 very long. >> So we've announced a partnership with 00:42:10.400 --> 00:42:14.317 the Tata group yesterday and you know it's about compute, it's about data 00:42:14.400 --> 00:42:16.477 centers and so on. Now I think the next 00:42:16.560 --> 00:42:18.237 question relates to that a little bit. 00:42:18.320 --> 00:42:21.517 Uh and which is from Kub from IIT Delhi. 00:42:21.600 --> 00:42:25.037 Uh go ahead Gaussub. >> Hi Sam, my name is Kausub. I'm a second 00:42:25.120 --> 00:42:29.357 year PhD student here at the school of AI IT Delhi. I wanted to ask a question 00:42:29.440 --> 00:42:33.677 about what are the steps that open AAI is taking towards building green AI 00:42:33.760 --> 00:42:35.997 solutions for the world. >> To building what solutions? 00:42:36.080 --> 00:42:37.517 >> Green AI solutions. >> Real 00:42:37.600 --> 00:42:38.157 >> green green 00:42:38.240 --> 00:42:43.037 >> green. Oh. Uh I think 00:42:43.120 --> 00:42:46.957 the world is only a few years away from 00:42:47.040 --> 00:42:49.597 fusion and really reliable solar wind 00:42:49.680 --> 00:42:53.117 plus storage. And I further think that 00:42:53.200 --> 00:42:56.237 those will become uh the cheapest source 00:42:56.320 --> 00:43:00.877 of energy in the world. And when that happens, the economy will 00:43:00.960 --> 00:43:03.197 do its thing. And not just AI, but 00:43:03.280 --> 00:43:05.757 everybody else will use new forms of 00:43:05.840 --> 00:43:09.517 energy. Um the this is important for a 00:43:09.600 --> 00:43:11.997 ton of reasons. Uh but one that gets 00:43:12.080 --> 00:43:14.477 talked about less is as part of this if 00:43:14.560 --> 00:43:19.117 we can drive massive abundance of energy um in the same way that we can drive 00:43:19.200 --> 00:43:21.277 abundance of intelligence I think that 00:43:21.360 --> 00:43:23.997 will do a huge amount to elevate people 00:43:24.080 --> 00:43:27.437 around the world. Um so obviously we 00:43:27.520 --> 00:43:30.317 care about it environmentally uh and are 00:43:30.400 --> 00:43:33.277 committed to do that. We really care 00:43:33.360 --> 00:43:35.917 about it from a 00:43:36.000 --> 00:43:37.677 sort of duty to the world to make energy 00:43:37.760 --> 00:43:40.717 abundant and perspective. Uh we're going 00:43:40.800 --> 00:43:45.277 to go uh change gears a little bit and uh I was saying earlier we have uh 00:43:45.360 --> 00:43:50.477 students from creative uh industries as well. Um so the next question u is 00:43:50.560 --> 00:43:54.557 around that and I think it's from Parisha. Uh if you have the microphone 00:43:54.640 --> 00:43:58.717 go ahead please. >> Uh hi Sam I'm Parisha from Pearl 00:43:58.800 --> 00:44:00.957 Academy. I'm pursuing interior and 00:44:01.040 --> 00:44:04.077 architectural design. So my question is 00:44:04.160 --> 00:44:07.037 uh like AI became the tool that that can 00:44:07.120 --> 00:44:12.397 generate uh images, space and uh create 00:44:12.480 --> 00:44:16.477 entire concept. How designer can ensure 00:44:16.560 --> 00:44:20.397 and uh ensure their work still reflect 00:44:20.480 --> 00:44:24.397 the human emotions, cultural identity 00:44:24.480 --> 00:44:29.357 and originality um rather than becoming too machine 00:44:29.440 --> 00:44:30.877 driven. 00:44:30.960 --> 00:44:33.277 >> Great question. Um, I used to be more 00:44:33.360 --> 00:44:36.557 worried about this and you know I wasn't 00:44:36.640 --> 00:44:41.997 sure totally how it was going to go when models could sort of create anything. 00:44:42.080 --> 00:44:46.477 Watching what's happened in practice though and talking to creators, uh, not 00:44:46.560 --> 00:44:50.477 everyone, but generally speaking, people say this is the best thing ever to 00:44:50.560 --> 00:44:51.917 happen as a tool in their creative 00:44:52.000 --> 00:44:55.517 process if they can explore ideas and 00:44:55.600 --> 00:45:00.237 have a machine help them search the space and then pick at each 00:45:00.320 --> 00:45:02.157 layer which direction they want to go. 00:45:02.240 --> 00:45:06.157 Um, and if we can make their creative 00:45:06.240 --> 00:45:08.157 ideation loop faster and faster and 00:45:08.240 --> 00:45:11.517 faster, where the time from idea to then 00:45:11.600 --> 00:45:15.277 seen and results and then coming up with a new idea from that gets shorter and 00:45:15.360 --> 00:45:18.157 shorter and talking to creators, whether 00:45:18.240 --> 00:45:20.317 they're visual artists or people making 00:45:20.400 --> 00:45:23.757 videos or music. Um, they all care a 00:45:23.840 --> 00:45:27.357 lot, as do I, that the human spirit and the human direction and the human 00:45:27.440 --> 00:45:30.797 imprint is in this, but they all think they'll be able to create much better 00:45:30.880 --> 00:45:35.037 stuff than ever before. Another thing for optimism, back on this earlier point 00:45:35.120 --> 00:45:37.517 about people really are very hardwired 00:45:37.600 --> 00:45:39.997 to care about other people. We are 00:45:40.080 --> 00:45:44.477 seeing a I think predictable but still 00:45:44.560 --> 00:45:47.917 surprising to some people result which 00:45:48.000 --> 00:45:51.357 is if you show someone an image if you 00:45:51.440 --> 00:45:55.197 say I I'll sell you this piece of art and an AI made it and it's beautiful but 00:45:55.280 --> 00:45:57.837 you know an AI made it the the value 00:45:57.920 --> 00:45:59.837 that people put on that effectively 00:45:59.920 --> 00:46:04.957 rounds to zero. Um, if a human made it, even with AI 00:46:05.040 --> 00:46:07.917 tools and it's, you know, someone who you can connect to and has a story and 00:46:08.000 --> 00:46:10.237 put their creative energy into it and had something they were trying to 00:46:10.320 --> 00:46:15.597 express, uh, but AI helped them in their creative process, it's worth a lot. But 00:46:15.680 --> 00:46:18.317 without the person like effectively signing their name to it and saying 00:46:18.400 --> 00:46:23.037 like, "This is my thing." We seem to not care. And I think that's another very 00:46:23.120 --> 00:46:26.237 positive sign for what it's going to be like for human creators. 00:46:26.320 --> 00:46:29.837 >> And I know you're on a discussion with Kavan Johar later today, so some of this 00:46:29.920 --> 00:46:32.077 will come up a little bit more as well. 00:46:32.160 --> 00:46:35.917 U and he's very popular movie director as you know. So I know this is going to 00:46:36.000 --> 00:46:38.477 be a conversation uh further up as well. 00:46:38.560 --> 00:46:42.317 Uh I'm a little conscious we're uh maybe coming up a little bit on time. I'll 00:46:42.400 --> 00:46:46.077 take two more questions and then I want to do a little bit of rapid fire at the 00:46:46.160 --> 00:46:48.317 end as well Sam if you're open to that. 00:46:48.400 --> 00:46:52.877 Um I think we have Paridi next. Uh Paridi if you have the microphone. Yeah 00:46:52.960 --> 00:46:56.077 go ahead. >> Hi Sam I am Paridi from Amit University. 00:46:56.160 --> 00:46:58.877 I'm currently in third year of my 00:46:58.960 --> 00:47:03.677 artificial intelligence degree. My question to you is that uh recently 00:47:03.760 --> 00:47:07.677 there have been a lot of concerns regarding the use of water in cooling 00:47:07.760 --> 00:47:09.997 down the servers and that it's leading 00:47:10.080 --> 00:47:13.037 to water scarcity. So what is open AI 00:47:13.120 --> 00:47:17.517 doing to you know uh people help people 00:47:17.600 --> 00:47:19.357 uh dismiss the these concerns. 00:47:19.440 --> 00:47:21.517 >> So the the energy concern and the need 00:47:21.600 --> 00:47:24.637 to move to green energy I think is very 00:47:24.720 --> 00:47:27.677 real. uh that that's something that at 00:47:27.760 --> 00:47:30.477 the scale AI is developing can be a 00:47:30.560 --> 00:47:32.797 significant issue. The water concern I 00:47:32.880 --> 00:47:35.197 think is no longer real. Uh there was a 00:47:35.280 --> 00:47:40.157 time when data centers were you using evaporative cooling. Um that is not 00:47:40.240 --> 00:47:45.037 something that people are doing much anymore. Um the there is you know 00:47:45.120 --> 00:47:49.117 obviously some water consumption in producing semiconductors 00:47:49.200 --> 00:47:51.517 but if you look at AI data centers they 00:47:51.600 --> 00:47:53.917 are not significant consumers of water. 00:47:54.000 --> 00:47:56.397 This has been an incredibly sticky meme. 00:47:56.480 --> 00:47:59.117 I don't totally understand why. You know, there's people who say, "Well, I 00:47:59.200 --> 00:48:02.477 don't use ChachiBT because each time you ask it a question, it uses up seven 00:48:02.560 --> 00:48:06.077 gallons of water or whatever." It's totally not true. We've tried to explain 00:48:06.160 --> 00:48:07.757 it's not true. It's been very sticky for 00:48:07.840 --> 00:48:09.997 whatever reason. Um, but I think the 00:48:10.080 --> 00:48:13.917 focus on energy does make sense. 00:48:14.000 --> 00:48:17.197 >> All right. I I know we have a lot more questions. Uh, but I'm I'm conscious 00:48:17.280 --> 00:48:21.117 we're coming up on time. So, Ocean will come to you and, uh, please go ahead and 00:48:21.200 --> 00:48:23.917 ask your question. >> Yeah. Hi, Sam. My name is Oshini Adaral. 00:48:24.000 --> 00:48:27.197 I'm a PhD scholar at the transportation research and injury prevention center 00:48:27.280 --> 00:48:30.797 here. So my question is, what is the biggest mistake you see young people 00:48:30.880 --> 00:48:35.997 make right now when they apparently prepare for AI? 00:48:36.080 --> 00:48:37.437 Man, I'm going to answer this. I hope 00:48:37.520 --> 00:48:40.957 this talk is not recorded. Uh 00:48:41.040 --> 00:48:47.720 I think listening to old people is the biggest mistake young people make. 00:48:48.640 --> 00:48:52.637 I I think your your parents obviously love you more than anyone. They're 00:48:52.720 --> 00:48:55.357 extremely well-meaning. Um for advice 00:48:55.440 --> 00:48:59.997 about how to live a happy life or how to be a a good person, there is no one you 00:49:00.080 --> 00:49:01.917 should listen to 00:49:02.000 --> 00:49:06.157 more than your parents. Um but 00:49:06.240 --> 00:49:10.877 for a predictor of what the world is going to be like going forward, um I 00:49:10.960 --> 00:49:15.997 think you should trust me for having good intuition of the rate of change. Um 00:49:16.080 --> 00:49:19.437 it young people always figure this out the 00:49:19.520 --> 00:49:22.877 best and the world you are all 00:49:22.960 --> 00:49:25.437 inheriting is going to be very different 00:49:25.520 --> 00:49:27.677 and you'll have to quickly develop your 00:49:27.760 --> 00:49:30.957 own intuitions and trust them. Um but I 00:49:31.040 --> 00:49:35.997 think the traditional career advice is probably not going to work as well. 00:49:36.080 --> 00:49:39.357 >> Wonderful. Thank you for taking all those questions. Uh let's do a quick 00:49:39.440 --> 00:49:43.837 rapid fire and you can choose to answer with one word or one sentence but uh 00:49:43.920 --> 00:49:45.837 that's what you need to uh kind of keep 00:49:45.920 --> 00:49:48.797 to um and I have like four or five 00:49:48.880 --> 00:49:53.357 questions. U the first one so will the next trillion dollar AI company come 00:49:53.440 --> 00:49:56.637 from India? >> I hope so. 00:49:56.720 --> 00:50:03.000 Nice. Most overrated fear about AI 00:50:03.920 --> 00:50:07.757 like killer robots in the streets. 00:50:07.840 --> 00:50:11.517 Most underrated opportunity 00:50:11.600 --> 00:50:14.477 >> zero person companies 00:50:14.560 --> 00:50:19.720 bigger change in five years education or healthcare 00:50:21.680 --> 00:50:25.997 education. >> And last one skill every IT back 00:50:26.080 --> 00:50:27.757 healthare that's close though. 00:50:27.840 --> 00:50:31.517 >> Okay last question. One skill every IIT 00:50:31.600 --> 00:50:34.317 student should build this year. 00:50:34.400 --> 00:50:35.277 >> Resilience. 00:50:35.360 --> 00:50:37.757 >> Resilience. Wonderful. 00:50:37.840 --> 00:50:41.997 Thank you all. Thank you. 00:50:42.080 --> 00:50:43.677 >> Thank you so much for interacting with 00:50:43.760 --> 00:50:46.877 our students and uh this has indeed been 00:50:46.960 --> 00:50:49.197 a very memorable evening for all of us 00:50:49.280 --> 00:50:51.917 and in order to ensure that you also 00:50:52.000 --> 00:50:54.877 remember us uh once you go out of this 00:50:54.960 --> 00:50:59.357 institute. Uh we'd like to present our small token of gratitude. For that I'd 00:50:59.440 --> 00:51:01.677 like to call Mr. Vinod Koslaser uh back 00:51:01.760 --> 00:51:08.400 on stage and also the director uh to present uh our guests. 00:51:49.120 --> 00:51:51.757 I I want to finish given you gave me a 00:51:51.840 --> 00:51:53.597 baseball cap. Thank you. With one 00:51:53.680 --> 00:51:56.877 comment. I think in the next few four 00:51:56.960 --> 00:51:59.997 years this baseball cap will read my 00:52:00.080 --> 00:52:03.197 mind and input directly into computers. 00:52:03.280 --> 00:52:09.037 We may succeed fail at that but we are trying. 00:52:09.120 --> 00:52:14.237 >> Uh >> oh yes. >> I'd like I'd like to request Sam now to 00:52:14.320 --> 00:52:17.677 capture this moment with the audience with a selfie. I'd like to call upon the 00:52:17.760 --> 00:52:21.677 stage uh the associate dean of academic outreach and new initiatives uh 00:52:21.760 --> 00:52:25.997 professor Shelpi Sharma and professor Deepak Jan for this. 00:52:26.080 --> 00:52:28.557 >> So we're doing a selfie right with with everybody. 00:52:28.640 --> 00:52:31.800 >> Thank you.