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These are the user uploaded subtitles that are being translated: 1 00:00:00,000 --> 00:00:25,840 [Music] 2 00:00:29,279 --> 00:00:31,599 n 3 00:00:31,599 --> 00:00:33,120 I'm not going to ask you anything 4 00:00:33,120 --> 00:00:34,719 generic or anything I've heard you 5 00:00:34,719 --> 00:00:37,680 answer already uh I'm going to be a 6 00:00:37,680 --> 00:00:39,719 little selfish and ask you questions 7 00:00:39,719 --> 00:00:42,719 that uh I try to answer for myself a lot 8 00:00:42,719 --> 00:00:44,800 of the time maybe like you know uh 9 00:00:44,800 --> 00:00:48,020 there's no better person to learn 10 00:00:48,020 --> 00:00:53,199 [Music] 11 00:00:53,199 --> 00:00:56,559 from so we do this once in a month Bill 12 00:00:56,559 --> 00:01:00,440 and uh we primarily cater to to the 13 00:01:00,440 --> 00:01:03,519 young entrepreneur in India uh the idea 14 00:01:03,519 --> 00:01:06,880 is to get really good people on the show 15 00:01:06,880 --> 00:01:10,439 and help a young 20-year-old boy or girl 16 00:01:10,439 --> 00:01:12,400 in India who's looking to become an 17 00:01:12,400 --> 00:01:16,640 entrepreneur give them uh advice 18 00:01:16,640 --> 00:01:18,960 guidance help them learn from what you 19 00:01:18,960 --> 00:01:21,759 might have learned already I've met Bill 20 00:01:21,759 --> 00:01:23,560 a bunch of times I think the very first 21 00:01:23,560 --> 00:01:26,920 time I met you was uh when I caught you 22 00:01:26,920 --> 00:01:29,000 at we and bugged you for an hour with 23 00:01:29,000 --> 00:01:31,280 random questions a few years ago I 24 00:01:31,280 --> 00:01:33,920 joined Bill's bletch last year thank uh 25 00:01:33,920 --> 00:01:36,200 the one thing I want to clarify is a lot 26 00:01:36,200 --> 00:01:39,399 of Indians when they hear about a Indian 27 00:01:39,399 --> 00:01:40,920 sign on to the pledge I think there's 28 00:01:40,920 --> 00:01:42,200 four of us right we're all from 29 00:01:42,200 --> 00:01:45,439 Bangalore and all of us are friends uh 30 00:01:45,439 --> 00:01:48,240 people somehow assume that the money is 31 00:01:48,240 --> 00:01:50,040 going out of India the money which is 32 00:01:50,040 --> 00:01:53,280 going to make Society better uh it's 33 00:01:53,280 --> 00:01:56,640 actually not the case and uh I would 34 00:01:56,640 --> 00:01:58,759 also like to say I think the Gates 35 00:01:58,759 --> 00:02:01,360 Foundation who I work worked with in the 36 00:02:01,360 --> 00:02:03,240 past we've done a school project 37 00:02:03,240 --> 00:02:05,520 together we're doing something around 38 00:02:05,520 --> 00:02:09,039 malnutrition together I think the impact 39 00:02:09,039 --> 00:02:11,280 and the effort that they're putting into 40 00:02:11,280 --> 00:02:15,560 India in improving Society uh is is uh 41 00:02:15,560 --> 00:02:17,920 is great and I hope you guys continue 42 00:02:17,920 --> 00:02:19,800 this association with India for a long 43 00:02:19,800 --> 00:02:21,599 time do you want to talk a little bit 44 00:02:21,599 --> 00:02:24,840 about your relationship with India and 45 00:02:24,840 --> 00:02:26,720 how it's evolved over the last many 46 00:02:26,720 --> 00:02:29,239 years well I've been I've had a 47 00:02:29,239 --> 00:02:30,959 fantastic relationship with India 48 00:02:30,959 --> 00:02:33,120 starting with the the Microsoft 49 00:02:33,120 --> 00:02:35,640 experience where and we hired some very 50 00:02:35,640 --> 00:02:37,720 smart I graduates brought them to 51 00:02:37,720 --> 00:02:41,159 Seattle later they go back uh create a 52 00:02:41,159 --> 00:02:44,080 development center for us uh that's now 53 00:02:44,080 --> 00:02:47,560 in four locations 25,000 people and of 54 00:02:47,560 --> 00:02:50,720 course a lot of the amazing people I 55 00:02:50,720 --> 00:02:53,519 work with and have so much fun uh in the 56 00:02:53,519 --> 00:02:55,959 Microsoft success with are part of the 57 00:02:55,959 --> 00:02:58,680 team who had hired from India you know 58 00:02:58,680 --> 00:03:02,519 top of that list is SAA uh who know uh 59 00:03:02,519 --> 00:03:05,799 is doing a great job of CEO so in my 60 00:03:05,799 --> 00:03:09,360 digital first career uh the connection 61 00:03:09,360 --> 00:03:13,159 to India was uh fun and made a huge 62 00:03:13,159 --> 00:03:17,000 difference um in what the company was 63 00:03:17,000 --> 00:03:19,319 able to achieve it was during that time 64 00:03:19,319 --> 00:03:21,360 that I was kind of learning oh wow India 65 00:03:21,360 --> 00:03:24,480 is such a study and contrast you know 66 00:03:24,480 --> 00:03:27,400 you know first class in so many ways but 67 00:03:27,400 --> 00:03:30,840 still a lot of poverty uh and challenges 68 00:03:30,840 --> 00:03:32,840 and uh you know I was beginning to think 69 00:03:32,840 --> 00:03:35,480 okay how do I give this money back uh 70 00:03:35,480 --> 00:03:40,000 together with uh Melinda and so she came 71 00:03:40,000 --> 00:03:42,000 over as we were starting to do 72 00:03:42,000 --> 00:03:44,599 foundation work um I start the 73 00:03:44,599 --> 00:03:48,040 foundation I fund it in the year 2000 so 74 00:03:48,040 --> 00:03:52,959 I'm 45 years old and still um 75 00:03:52,959 --> 00:03:56,439 full-time I stayed full-time for another 76 00:03:56,439 --> 00:03:57,640 uh eight 77 00:03:57,640 --> 00:04:00,840 years uh but IND you become comes you 78 00:04:00,840 --> 00:04:03,159 know an important place for us because 79 00:04:03,159 --> 00:04:04,799 we realize that 80 00:04:04,799 --> 00:04:08,640 vaccines uh were this missing uh thing 81 00:04:08,640 --> 00:04:11,519 and it was a crime that these uh 82 00:04:11,519 --> 00:04:13,480 diarrhea rotavirus vaccines were getting 83 00:04:13,480 --> 00:04:15,519 to the rich kids so you know I get to 84 00:04:15,519 --> 00:04:18,680 know serum I learn 85 00:04:18,680 --> 00:04:22,240 about making cheap uh 86 00:04:22,240 --> 00:04:24,040 vaccines uh you know the Indian 87 00:04:24,040 --> 00:04:25,720 government at the time had not adopted 88 00:04:25,720 --> 00:04:28,960 new vaccines for a long time you know so 89 00:04:28,960 --> 00:04:32,199 uh how do we is foreigners uh form 90 00:04:32,199 --> 00:04:35,440 Partnerships and not come across uh in 91 00:04:35,440 --> 00:04:37,479 the wrong way so it's a heck of a 92 00:04:37,479 --> 00:04:40,600 learning curve uh another big program we 93 00:04:40,600 --> 00:04:43,680 had here at the start called avahan uh 94 00:04:43,680 --> 00:04:46,520 was about making sure that the HIV 95 00:04:46,520 --> 00:04:49,400 epidemic didn't explode you know by 96 00:04:49,400 --> 00:04:53,199 making sure that um the sex workers were 97 00:04:53,199 --> 00:04:55,560 insisting on conomus and so that the the 98 00:04:55,560 --> 00:04:58,639 numbers would stay small and that was 99 00:04:58,639 --> 00:05:01,600 also quite successful and very much a 100 00:05:01,600 --> 00:05:04,000 partnership with the government um you 101 00:05:04,000 --> 00:05:05,520 know other than the US this is the 102 00:05:05,520 --> 00:05:08,280 country we spend the most money in uh we 103 00:05:08,280 --> 00:05:10,919 have a fantastic team of people here do 104 00:05:10,919 --> 00:05:12,160 you want to put a number to that in 105 00:05:12,160 --> 00:05:13,720 terms of the scale of how much the 106 00:05:13,720 --> 00:05:16,840 foundation does in India yeah we do uh 107 00:05:16,840 --> 00:05:20,160 if you take direct and indirect uh it'd 108 00:05:20,160 --> 00:05:22,240 be close to a billion a year you know we 109 00:05:22,240 --> 00:05:26,560 help buy vaccines through uh gavi we uh 110 00:05:26,560 --> 00:05:28,440 fund a lot of different things our 111 00:05:28,440 --> 00:05:31,600 foundation is about 9 billion a year and 112 00:05:31,600 --> 00:05:34,400 our health is our biggest agriculture is 113 00:05:34,400 --> 00:05:37,680 our second biggest education uh although 114 00:05:37,680 --> 00:05:40,840 super important uh it's not uh super 115 00:05:40,840 --> 00:05:42,720 high percentage because we're 116 00:05:42,720 --> 00:05:46,720 so specialized on the health stuff uh 117 00:05:46,720 --> 00:05:49,840 and we've had so much uh progress on 118 00:05:49,840 --> 00:05:52,319 that we want to uh make sure we do that 119 00:05:52,319 --> 00:05:55,120 super well I'm not going to ask you 120 00:05:55,120 --> 00:05:56,919 anything generic or anything I've heard 121 00:05:56,919 --> 00:06:00,120 you answer already uh I'm going to be a 122 00:06:00,120 --> 00:06:02,120 little selfish and ask you questions 123 00:06:02,120 --> 00:06:05,120 that uh I try to answer for myself a lot 124 00:06:05,120 --> 00:06:07,199 of the time maybe like you know uh 125 00:06:07,199 --> 00:06:09,720 there's no better person to learn from 126 00:06:09,720 --> 00:06:12,960 when it comes to uh Society at 127 00:06:12,960 --> 00:06:16,960 large a lot of really wealthy people 128 00:06:16,960 --> 00:06:20,720 today uh are virtue signaling in the 129 00:06:20,720 --> 00:06:23,759 manner that being wealthy is a Bad Thing 130 00:06:23,759 --> 00:06:27,199 somehow it it it's starting to seem like 131 00:06:27,199 --> 00:06:30,759 the class and race divides of yesterday 132 00:06:30,759 --> 00:06:33,960 has become the new uh wealth divide has 133 00:06:33,960 --> 00:06:36,560 become that thing in society today uh 134 00:06:36,560 --> 00:06:38,360 which is very socialist in the very 135 00:06:38,360 --> 00:06:41,000 thinking of it inherently socialist when 136 00:06:41,000 --> 00:06:43,639 people think of it that way and when I 137 00:06:43,639 --> 00:06:46,160 go on my own path of philanthropy I 138 00:06:46,160 --> 00:06:48,599 often ask myself like even at the pledge 139 00:06:48,599 --> 00:06:52,039 I find myself asking this question does 140 00:06:52,039 --> 00:06:54,639 philanthropy in that sense truly makes 141 00:06:54,639 --> 00:06:57,919 sense and me as a 37 year-old who's 142 00:06:57,919 --> 00:06:59,919 starting on this path how do I think 143 00:06:59,919 --> 00:07:02,639 about this well there are some things 144 00:07:02,639 --> 00:07:05,680 that only philanthropy can do because 145 00:07:05,680 --> 00:07:09,840 they require taking risks and you know 146 00:07:09,840 --> 00:07:12,160 the basic needs of the people the safety 147 00:07:12,160 --> 00:07:14,440 net that's not really the role of 148 00:07:14,440 --> 00:07:16,400 philanthropy because you need to count 149 00:07:16,400 --> 00:07:18,720 on that year in and year out and the 150 00:07:18,720 --> 00:07:20,400 government you know through the 151 00:07:20,400 --> 00:07:23,120 political process needs to decide that 152 00:07:23,120 --> 00:07:26,000 and of course the market-based system is 153 00:07:26,000 --> 00:07:28,280 where most of this wealth comes from and 154 00:07:28,280 --> 00:07:30,960 anything the market can do you know like 155 00:07:30,960 --> 00:07:33,280 how many restaurants like this should we 156 00:07:33,280 --> 00:07:36,160 have you know the market does that so 157 00:07:36,160 --> 00:07:40,319 well but we know there are 158 00:07:40,319 --> 00:07:42,360 diseases and 159 00:07:42,360 --> 00:07:45,199 challenges that either the government's 160 00:07:45,199 --> 00:07:48,080 not Innovative enough or the market 161 00:07:48,080 --> 00:07:51,560 opportuni is not enough that the two big 162 00:07:51,560 --> 00:07:55,000 actors you know private sector you know 163 00:07:55,000 --> 00:07:57,440 which is like you know 70% of the 164 00:07:57,440 --> 00:07:59,159 economy and you know the government 165 00:07:59,159 --> 00:08:00,280 which is like 166 00:08:00,280 --> 00:08:02,879 28% this third sector which is only a 167 00:08:02,879 --> 00:08:03,759 few 168 00:08:03,759 --> 00:08:09,639 percent can step in to do when we had uh 169 00:08:09,639 --> 00:08:11,360 Democratic capitalism there was always 170 00:08:11,360 --> 00:08:14,000 this concern that the poorest would kind 171 00:08:14,000 --> 00:08:16,520 of overtax the Rich and that the 172 00:08:16,520 --> 00:08:18,520 incentive system would be broken down in 173 00:08:18,520 --> 00:08:20,360 fact you know that really hasn't 174 00:08:20,360 --> 00:08:23,240 happened you you have in northern Europe 175 00:08:23,240 --> 00:08:26,520 very high tax rates but even there the 176 00:08:26,520 --> 00:08:29,479 incentive system works so I think it's 177 00:08:29,479 --> 00:08:31,400 it's important to separate out is my 178 00:08:31,400 --> 00:08:34,000 country's tax system as Progressive as 179 00:08:34,000 --> 00:08:37,080 it should be uh so when you look at 180 00:08:37,080 --> 00:08:39,200 billionaires you know do they kind of 181 00:08:39,200 --> 00:08:41,640 have more than they should and then if 182 00:08:41,640 --> 00:08:43,320 you look at whatever the billionaires 183 00:08:43,320 --> 00:08:46,160 have o left over after they paid their 184 00:08:46,160 --> 00:08:51,040 taxes are they engaging in thoughtful uh 185 00:08:51,040 --> 00:08:53,720 philanthropy are they kind of spoiling 186 00:08:53,720 --> 00:08:56,519 their children uh who are kind of 187 00:08:56,519 --> 00:08:58,480 arrogant to view themselves in a class 188 00:08:58,480 --> 00:09:00,079 of Their Own 189 00:09:00,079 --> 00:09:02,720 uh and being kind of extravagant in what 190 00:09:02,720 --> 00:09:05,760 they do and that's very hard you know to 191 00:09:05,760 --> 00:09:09,519 draw the line what is uh that 192 00:09:09,519 --> 00:09:11,320 responsibility even with the giving 193 00:09:11,320 --> 00:09:14,680 pledge this idea give back half you know 194 00:09:14,680 --> 00:09:16,680 some people say well half if you have 195 00:09:16,680 --> 00:09:19,680 you know $4 billion dollar that means 196 00:09:19,680 --> 00:09:22,279 for your own consumption and your your 197 00:09:22,279 --> 00:09:25,320 family you're keeping two billion well 198 00:09:25,320 --> 00:09:27,800 it's not a upper bound we'll have you 199 00:09:27,800 --> 00:09:30,399 know people who will give away 200 00:09:30,399 --> 00:09:33,519 99% but it and it's great to debate 201 00:09:33,519 --> 00:09:34,839 these things 202 00:09:34,839 --> 00:09:39,600 because um you know we're not trying to 203 00:09:39,600 --> 00:09:41,440 take over government functions we 204 00:09:41,440 --> 00:09:44,360 couldn't possibly afford afford to do 205 00:09:44,360 --> 00:09:47,120 that uh but a lot of the best government 206 00:09:47,120 --> 00:09:49,519 programs if you look into them some 207 00:09:49,519 --> 00:09:51,800 philanthropist funded the pilot you know 208 00:09:51,800 --> 00:09:53,560 brought together talented people and 209 00:09:53,560 --> 00:09:57,000 often you're using the same skills that 210 00:09:57,000 --> 00:09:59,680 you cause you to be able to be 211 00:09:59,680 --> 00:10:02,200 successful and now using it on behalf of 212 00:10:02,200 --> 00:10:04,600 of equality you know how do you design a 213 00:10:04,600 --> 00:10:08,480 school or take AI technology into a a 214 00:10:08,480 --> 00:10:12,560 farmer's advisory system uh and that 215 00:10:12,560 --> 00:10:15,680 that experience that sense of 216 00:10:15,680 --> 00:10:18,480 urgency uh can be very helpful in 217 00:10:18,480 --> 00:10:21,480 philanthropic Innovation I'm I'm with 218 00:10:21,480 --> 00:10:23,839 you when you say that the anomalies of 219 00:10:23,839 --> 00:10:25,839 capitalism the billionaires on the very 220 00:10:25,839 --> 00:10:28,200 end should be taxed higher but if you 221 00:10:28,200 --> 00:10:31,040 had to redesign societ do you think 222 00:10:31,040 --> 00:10:34,320 capitalism over socialism any day well 223 00:10:34,320 --> 00:10:37,680 capitalism gives you the freedom to 224 00:10:37,680 --> 00:10:39,800 start a new business and try out a new 225 00:10:39,800 --> 00:10:42,440 product and the idea of okay who do 226 00:10:42,440 --> 00:10:44,399 people choose to buy 227 00:10:44,399 --> 00:10:46,920 from that's a form of freedom because 228 00:10:46,920 --> 00:10:49,519 it's not based on your background or 229 00:10:49,519 --> 00:10:51,920 your class or something like that and so 230 00:10:51,920 --> 00:10:56,079 the discovery power of the capitalistic 231 00:10:56,079 --> 00:10:57,800 Market to oh this guy knows how to do 232 00:10:57,800 --> 00:10:59,760 this cheaper this guy knows how to do 233 00:10:59,760 --> 00:11:02,040 this better oh you know people are 234 00:11:02,040 --> 00:11:05,120 interested in that kind of a movie um 235 00:11:05,120 --> 00:11:07,040 you know tops down 236 00:11:07,040 --> 00:11:09,880 systems even though with lots of Digital 237 00:11:09,880 --> 00:11:12,920 Data you could run a tops down syst 238 00:11:12,920 --> 00:11:16,360 system less ineptly than 239 00:11:16,360 --> 00:11:20,639 say the Soviets or the North Koreans did 240 00:11:20,639 --> 00:11:25,160 but still the discovery process and the 241 00:11:25,160 --> 00:11:27,000 price comparison that takes place 242 00:11:27,000 --> 00:11:30,519 there's it is it is the fundamental way 243 00:11:30,519 --> 00:11:32,920 things should be done but government has 244 00:11:32,920 --> 00:11:36,399 to look for monopolies it has to create 245 00:11:36,399 --> 00:11:38,800 the safety net you know you can argue 246 00:11:38,800 --> 00:11:40,639 about the relative role of the 247 00:11:40,639 --> 00:11:42,760 government in education and in health 248 00:11:42,760 --> 00:11:45,959 care but they need to make sure that uh 249 00:11:45,959 --> 00:11:50,079 everybody gets those Services right 250 00:11:50,079 --> 00:11:53,360 you're looking fitter than I remember 251 00:11:53,360 --> 00:11:54,959 seeing you the last yeah I know I've 252 00:11:54,959 --> 00:11:56,839 been playing more tennis a little more 253 00:11:56,839 --> 00:11:59,839 pickle ball uh it's because really 254 00:11:59,839 --> 00:12:01,720 picking up that much it is in India in 255 00:12:01,720 --> 00:12:03,800 North America it's unbelievable 256 00:12:03,800 --> 00:12:06,240 particularly California Florida I mean 257 00:12:06,240 --> 00:12:07,680 it's actually more people play 258 00:12:07,680 --> 00:12:10,519 Pickleball now than play tennis right uh 259 00:12:10,519 --> 00:12:12,519 so it's actually passed it 260 00:12:12,519 --> 00:12:15,360 by uh the last time we met I kept 261 00:12:15,360 --> 00:12:18,040 bugging you about what supplements do 262 00:12:18,040 --> 00:12:21,079 you take now that you've gotten even 263 00:12:21,079 --> 00:12:24,440 healthier looking is there any hack that 264 00:12:24,440 --> 00:12:25,880 you would like to recommend to young 265 00:12:25,880 --> 00:12:28,199 entrepreneurs I take vitamins you know 266 00:12:28,199 --> 00:12:31,000 because it's there's no downside so 267 00:12:31,000 --> 00:12:32,320 getting blood tests every once in a 268 00:12:32,320 --> 00:12:35,079 while and seeing if there's anomalies uh 269 00:12:35,079 --> 00:12:36,279 that's good and now there's a thing 270 00:12:36,279 --> 00:12:39,760 called The Grail test um it's not 271 00:12:39,760 --> 00:12:42,440 covered by all Insurance in the US so 272 00:12:42,440 --> 00:12:45,680 probably not by much in India but if you 273 00:12:45,680 --> 00:12:50,079 can afford it uh that is almost magical 274 00:12:50,079 --> 00:12:52,880 at helping to see cancers way before 275 00:12:52,880 --> 00:12:55,399 other techniques would catch 276 00:12:55,399 --> 00:12:58,120 those uh so we have a foundation bill 277 00:12:58,120 --> 00:13:00,279 which does work around clate it's called 278 00:13:00,279 --> 00:13:01,199 rain 279 00:13:01,199 --> 00:13:04,880 matter uh just for the sake of not 280 00:13:04,880 --> 00:13:06,680 having this debate publicly let's 281 00:13:06,680 --> 00:13:09,800 between us assume climate change is real 282 00:13:09,800 --> 00:13:12,240 uh I've heard you speak about uh the 283 00:13:12,240 --> 00:13:14,279 Breakthrough energy fund energy 284 00:13:14,279 --> 00:13:16,839 transition appears to be a big 285 00:13:16,839 --> 00:13:18,800 opportunity for young entrepreneurs to 286 00:13:18,800 --> 00:13:22,040 work in over the next decade are there 287 00:13:22,040 --> 00:13:26,120 any sub facets of that if I were a 288 00:13:26,120 --> 00:13:29,240 22-year-old boy or girl wanting to to 289 00:13:29,240 --> 00:13:31,120 build a career in energy 290 00:13:31,120 --> 00:13:33,240 transition uh where do you think there 291 00:13:33,240 --> 00:13:36,639 are most Tailwinds what factor should I 292 00:13:36,639 --> 00:13:40,480 focus on well because the sources of 293 00:13:40,480 --> 00:13:45,320 emissions are so Broad and we need deep 294 00:13:45,320 --> 00:13:48,800 innovation in many many areas so for 295 00:13:48,800 --> 00:13:50,360 electricity 296 00:13:50,360 --> 00:13:52,480 generation you know we've got to make 297 00:13:52,480 --> 00:13:55,279 solar cells better we have to make off- 298 00:13:55,279 --> 00:13:58,680 win cheaper um there's probably 299 00:13:58,680 --> 00:14:01,040 something dramatic that can happen in 300 00:14:01,040 --> 00:14:02,079 nuclear 301 00:14:02,079 --> 00:14:04,839 fision uh hopefully something dramatic 302 00:14:04,839 --> 00:14:07,959 that can happen happen in nuclear fusion 303 00:14:07,959 --> 00:14:11,800 uh in the long run that may be uh the 304 00:14:11,800 --> 00:14:13,480 cheapest source of electricity now we 305 00:14:13,480 --> 00:14:17,160 have some companies uh trying to get 306 00:14:17,160 --> 00:14:19,800 there you know over in the agricultural 307 00:14:19,800 --> 00:14:24,160 space um rice uh is a huge source of 308 00:14:24,160 --> 00:14:26,639 emissions and there's new ideas about 309 00:14:26,639 --> 00:14:29,480 genetics and direct seaing with house 310 00:14:29,480 --> 00:14:32,480 you can vaccinate them change the 311 00:14:32,480 --> 00:14:35,759 genetics uh in the industrial side you 312 00:14:35,759 --> 00:14:38,440 can try to get cheap green hydrogen or 313 00:14:38,440 --> 00:14:41,079 you can try and change the process for 314 00:14:41,079 --> 00:14:44,959 example steel instead of using a form of 315 00:14:44,959 --> 00:14:47,759 coal uh you could use electricity for 316 00:14:47,759 --> 00:14:49,519 the reduction and 317 00:14:49,519 --> 00:14:54,040 so I'd say there's probably 20 areas 318 00:14:54,040 --> 00:14:57,480 that if you want to help in climate 319 00:14:57,480 --> 00:15:01,839 Innovation uh these things are are 320 00:15:01,839 --> 00:15:04,079 begging uh and I think it will be 321 00:15:04,079 --> 00:15:06,120 startups and of course they'll have 322 00:15:06,120 --> 00:15:08,920 tie-ups with big companies but the 323 00:15:08,920 --> 00:15:11,040 open-mindedness most these breakthroughs 324 00:15:11,040 --> 00:15:12,560 won't come straight out of the big 325 00:15:12,560 --> 00:15:14,720 companies is there a starting point 326 00:15:14,720 --> 00:15:17,000 though let's assume I have no Capital at 327 00:15:17,000 --> 00:15:20,199 hand and I'm 22 starting off in 328 00:15:20,199 --> 00:15:25,120 Bangalore uh how do I how do I go about 329 00:15:25,120 --> 00:15:27,519 attempting to be a part of the energy 330 00:15:27,519 --> 00:15:29,680 transition solution the ideal is 331 00:15:29,680 --> 00:15:32,079 actually to find a philanthropist um 332 00:15:32,079 --> 00:15:33,639 breakthrough energy has a fellows 333 00:15:33,639 --> 00:15:35,880 program where we look for people with 334 00:15:35,880 --> 00:15:39,079 really uh good early stage ideas and we 335 00:15:39,079 --> 00:15:41,199 do that as a 336 00:15:41,199 --> 00:15:44,279 grant uh with a little bit of of options 337 00:15:44,279 --> 00:15:46,800 but you don't need a business plan then 338 00:15:46,800 --> 00:15:48,759 if you get past that stage either on 339 00:15:48,759 --> 00:15:51,040 your own or with the uh fellas type 340 00:15:51,040 --> 00:15:53,680 Grant then there are Venture Capital 341 00:15:53,680 --> 00:15:55,959 groups that really specialize in finding 342 00:15:55,959 --> 00:15:58,040 Climate Technologies and they're willing 343 00:15:58,040 --> 00:16:03,480 to fund very risky stuff um and I know 344 00:16:03,480 --> 00:16:04,800 all of them including breakthrough 345 00:16:04,800 --> 00:16:07,240 energy are like gosh are we missing some 346 00:16:07,240 --> 00:16:12,000 in India and so now there's a network 347 00:16:12,000 --> 00:16:14,199 you know if you have a good idea you 348 00:16:14,199 --> 00:16:16,440 know if you pass it to me if non-one 349 00:16:16,440 --> 00:16:18,600 pass it to me there's a bunch of us 350 00:16:18,600 --> 00:16:20,639 Venture Capal and hopefully some who 351 00:16:20,639 --> 00:16:23,600 would also come in domestically uh so 352 00:16:23,600 --> 00:16:26,880 for risk Capital uh this is a very good 353 00:16:26,880 --> 00:16:30,240 time if you have something that that 354 00:16:30,240 --> 00:16:32,079 looks attractive could have a 355 00:16:32,079 --> 00:16:33,720 significant 356 00:16:33,720 --> 00:16:36,759 impact artificial general 357 00:16:36,759 --> 00:16:40,399 intelligence uh you know more about this 358 00:16:40,399 --> 00:16:41,880 than most 359 00:16:41,880 --> 00:16:45,240 people how do you think Society changes 360 00:16:45,240 --> 00:16:47,600 if you could paint a dystopian and a 361 00:16:47,600 --> 00:16:51,000 utopian picture let's say there is Agi 362 00:16:51,000 --> 00:16:54,720 what happens to the society post AGI 363 00:16:54,720 --> 00:16:59,319 from a jobs what is money what is societ 364 00:16:59,319 --> 00:17:01,279 what is family 365 00:17:01,279 --> 00:17:04,160 standpoint well the amazing thing about 366 00:17:04,160 --> 00:17:10,120 this technology is um we know it can 367 00:17:10,120 --> 00:17:12,919 help uh in key areas we know it can 368 00:17:12,919 --> 00:17:15,520 create like educational tutors lot of 369 00:17:15,520 --> 00:17:18,760 great pilot work uh several projects 370 00:17:18,760 --> 00:17:21,760 here in India Salon in the US is the one 371 00:17:21,760 --> 00:17:26,760 that um may have started the 1 and is is 372 00:17:26,760 --> 00:17:29,400 uh showing great results on that 373 00:17:29,400 --> 00:17:32,840 so the potential is incredible and if if 374 00:17:32,840 --> 00:17:36,880 we knew that all it did was make a lot 375 00:17:36,880 --> 00:17:39,919 of jobs say three times more 376 00:17:39,919 --> 00:17:42,360 productive so doctors are three times 377 00:17:42,360 --> 00:17:45,320 more productive so you know the demand 378 00:17:45,320 --> 00:17:47,320 for more people to see doctors and get 379 00:17:47,320 --> 00:17:49,440 good advice that's probably good for 380 00:17:49,440 --> 00:17:52,400 software um you know we'll still need 381 00:17:52,400 --> 00:17:54,600 those software Engineers well we may 382 00:17:54,600 --> 00:17:56,480 take some of the extra productivity for 383 00:17:56,480 --> 00:17:59,280 Quality some for quantity but we're not 384 00:17:59,280 --> 00:18:04,159 going to um you know start uh not not 385 00:18:04,159 --> 00:18:07,120 needing software Engineers the fact that 386 00:18:07,120 --> 00:18:11,280 over time and we don't know the the rate 387 00:18:11,280 --> 00:18:14,360 of improvement um and there doesn't seem 388 00:18:14,360 --> 00:18:16,720 to be an upper bound if it gets so that 389 00:18:16,720 --> 00:18:20,200 it's a complete replacement that it can 390 00:18:20,200 --> 00:18:23,000 do all the medical advice or it can do 391 00:18:23,000 --> 00:18:25,960 all the coding that's a world of 392 00:18:25,960 --> 00:18:29,400 excess where you know it's it's got to 393 00:18:29,400 --> 00:18:31,840 be wonderful in the sense that you know 394 00:18:31,840 --> 00:18:34,240 handicap people old people you're you 395 00:18:34,240 --> 00:18:35,600 know taking care of them you're 396 00:18:35,600 --> 00:18:38,480 shortening the the work week but you can 397 00:18:38,480 --> 00:18:41,600 get to a point where the very organizing 398 00:18:41,600 --> 00:18:44,799 principles of society uh and the whole 399 00:18:44,799 --> 00:18:48,120 philosophy about you know what you value 400 00:18:48,120 --> 00:18:50,360 um that world of excess which I 401 00:18:50,360 --> 00:18:52,440 personally think won't come in the next 402 00:18:52,440 --> 00:18:54,640 20 years but I can't guarantee that you 403 00:18:54,640 --> 00:18:58,039 know I was personally not expecting this 404 00:18:58,039 --> 00:19:00,120 reading writing 405 00:19:00,120 --> 00:19:03,240 breakthrough to take place just because 406 00:19:03,240 --> 00:19:06,320 you know gpt3 got scaled up to 407 00:19:06,320 --> 00:19:09,240 gp4 but that really showed something 408 00:19:09,240 --> 00:19:12,360 profound in knowledge 409 00:19:12,360 --> 00:19:16,679 representation uh had taken place and so 410 00:19:16,679 --> 00:19:18,559 most of us are working on the hey let's 411 00:19:18,559 --> 00:19:21,200 go build that tutor and that Health 412 00:19:21,200 --> 00:19:24,440 advisor and farmer adviser um but while 413 00:19:24,440 --> 00:19:28,240 we do that we should be aware that okay 414 00:19:28,240 --> 00:19:31,559 so so much extra productivity 415 00:19:31,559 --> 00:19:35,600 will uh surprise people and require us 416 00:19:35,600 --> 00:19:38,880 to rethink uh about a lot of different 417 00:19:38,880 --> 00:19:42,799 things so when Sam Alman was in India he 418 00:19:42,799 --> 00:19:45,840 fielded a bunch of questions around chat 419 00:19:45,840 --> 00:19:49,760 jpt and uh generative AI per se when 420 00:19:49,760 --> 00:19:52,799 these large language models take as much 421 00:19:52,799 --> 00:19:55,600 computational power as they require an 422 00:19:55,600 --> 00:19:58,120 Indian entrepreneur who has lesser 423 00:19:58,120 --> 00:20:00,559 access to Capital compared to a western 424 00:20:00,559 --> 00:20:04,840 one how does an Indian entrepreneur 425 00:20:04,840 --> 00:20:06,960 compete with the West in this domain 426 00:20:06,960 --> 00:20:09,679 without the same kind of access you know 427 00:20:09,679 --> 00:20:12,400 that's a very good question so if you're 428 00:20:12,400 --> 00:20:14,120 an entrepreneur who's trying to build 429 00:20:14,120 --> 00:20:16,720 foundational models models from the very 430 00:20:16,720 --> 00:20:20,280 ground up like Google does or Microsoft 431 00:20:20,280 --> 00:20:22,760 with opening eye does and they have four 432 00:20:22,760 --> 00:20:23,520 five 433 00:20:23,520 --> 00:20:26,880 others you have to raise you know two 434 00:20:26,880 --> 00:20:30,400 three billion dollars uh now maybe some 435 00:20:30,400 --> 00:20:32,000 government will decide because you're 436 00:20:32,000 --> 00:20:34,280 domestic they'll help you do that or 437 00:20:34,280 --> 00:20:37,760 provide some of that but there should 438 00:20:37,760 --> 00:20:40,000 either be like zero one or two cases 439 00:20:40,000 --> 00:20:41,960 where an Indian company goes after that 440 00:20:41,960 --> 00:20:45,520 very base level uh and hopefully focuses 441 00:20:45,520 --> 00:20:49,320 on some specific Indian applications of 442 00:20:49,320 --> 00:20:52,760 that uh most of the 443 00:20:52,760 --> 00:20:55,760 opportunity is at the level above you 444 00:20:55,760 --> 00:20:57,559 know where you're saying okay let's take 445 00:20:57,559 --> 00:21:00,360 this and help Architects or let's take 446 00:21:00,360 --> 00:21:03,520 this and help this group of farmers or 447 00:21:03,520 --> 00:21:05,400 you know the Indian legal system is very 448 00:21:05,400 --> 00:21:07,080 different believe me 449 00:21:07,080 --> 00:21:09,760 what legal things are done for the US 450 00:21:09,760 --> 00:21:12,360 won't apply here but you know just 451 00:21:12,360 --> 00:21:14,880 imagine if you could make everybody the 452 00:21:14,880 --> 00:21:17,799 legal system four times more productive 453 00:21:17,799 --> 00:21:20,679 you know that changes Justice because 454 00:21:20,679 --> 00:21:22,000 right now the 455 00:21:22,000 --> 00:21:26,919 backlog uh is kind of nightmarish um and 456 00:21:26,919 --> 00:21:29,320 and here you know comes potential 457 00:21:29,320 --> 00:21:32,520 solution so I'd say there's a thousand 458 00:21:32,520 --> 00:21:35,840 opportunities where you you're you Pi 459 00:21:35,840 --> 00:21:38,480 either pick or just use one of those 460 00:21:38,480 --> 00:21:41,120 base level models but you're doing the 461 00:21:41,120 --> 00:21:44,000 extra data value added user interface to 462 00:21:44,000 --> 00:21:47,000 go after a particular application that I 463 00:21:47,000 --> 00:21:50,039 think will is where we'll see the most 464 00:21:50,039 --> 00:21:52,559 activity uh if somebody's bold enough to 465 00:21:52,559 --> 00:21:54,400 say no I'm going after foundational 466 00:21:54,400 --> 00:21:56,720 piece you know Screw you Bill Gates you 467 00:21:56,720 --> 00:21:59,520 don't know I say hey good for you you 468 00:21:59,520 --> 00:22:02,679 know I I could be wrong we are in you 469 00:22:02,679 --> 00:22:06,559 know this is all very new uh stop are 470 00:22:06,559 --> 00:22:08,799 there any arbitrages in place like a 471 00:22:08,799 --> 00:22:11,760 unique Advantage India either by virtue 472 00:22:11,760 --> 00:22:14,840 of population or the demographic 473 00:22:14,840 --> 00:22:18,159 diversity has that that will help a 474 00:22:18,159 --> 00:22:20,799 young entrepreneur focus on a particular 475 00:22:20,799 --> 00:22:22,600 facet around building 476 00:22:22,600 --> 00:22:27,159 this um or is there a legal Arbitrage is 477 00:22:27,159 --> 00:22:30,080 regulation better here than that I think 478 00:22:30,080 --> 00:22:31,320 it's very 479 00:22:31,320 --> 00:22:35,080 possible that the health advice piece 480 00:22:35,080 --> 00:22:38,400 that the US will over regulate that and 481 00:22:38,400 --> 00:22:41,159 uh you know just see the the risk and 482 00:22:41,159 --> 00:22:44,200 not not the benefit and that middle 483 00:22:44,200 --> 00:22:47,120 income countries and I put India at the 484 00:22:47,120 --> 00:22:49,400 top of the list will engage in a 485 00:22:49,400 --> 00:22:51,799 dialogue and and drive very aggressively 486 00:22:51,799 --> 00:22:54,440 to get the benefit but yes I would 487 00:22:54,440 --> 00:22:59,520 expect uh definitely in Health 488 00:22:59,520 --> 00:23:00,679 definitely in 489 00:23:00,679 --> 00:23:03,080 agriculture a lot of the most exciting 490 00:23:03,080 --> 00:23:05,799 fast-moving things uh will be here in 491 00:23:05,799 --> 00:23:08,720 India education I think everybody's 492 00:23:08,720 --> 00:23:11,360 going to be doing it and and including 493 00:23:11,360 --> 00:23:13,960 India I've seen this happen in Indonesia 494 00:23:13,960 --> 00:23:17,400 do you think the business of delivering 495 00:23:17,400 --> 00:23:21,159 medical advice and prescribing people uh 496 00:23:21,159 --> 00:23:23,080 not with the human on the other side but 497 00:23:23,080 --> 00:23:25,320 a model per se do you think the 498 00:23:25,320 --> 00:23:27,640 potential for that is big in India for 499 00:23:27,640 --> 00:23:31,039 young entrepreneurs to focus on yes um 500 00:23:31,039 --> 00:23:32,799 you know there's going to be a quality 501 00:23:32,799 --> 00:23:35,520 bar uh 502 00:23:35,520 --> 00:23:39,279 and and yes and you know maybe at first 503 00:23:39,279 --> 00:23:41,320 it's okay pregnant women or people 504 00:23:41,320 --> 00:23:42,640 dealing with 505 00:23:42,640 --> 00:23:45,200 diabetes um because it's easier than to 506 00:23:45,200 --> 00:23:46,720 think through all the possible questions 507 00:23:46,720 --> 00:23:48,400 and make sure the quality is right but 508 00:23:48,400 --> 00:23:52,080 eventually you bet your your lifelong 509 00:23:52,080 --> 00:23:54,919 medical agent that takes all your sensor 510 00:23:54,919 --> 00:23:58,039 data and you know how you felt you know 511 00:23:58,039 --> 00:24:01,440 when you eat this or drink that uh it'll 512 00:24:01,440 --> 00:24:05,240 be there and it'll be reading the latest 513 00:24:05,240 --> 00:24:08,760 literature um and it'll be super helpful 514 00:24:08,760 --> 00:24:12,799 to you okay last question to you Bill if 515 00:24:12,799 --> 00:24:17,679 you were 25 years old living in India uh 516 00:24:17,679 --> 00:24:22,039 no no crazy skill set at hand and about 517 00:24:22,039 --> 00:24:24,600 $100,000 of money to start a business 518 00:24:24,600 --> 00:24:27,440 with what would you do today I'd 519 00:24:27,440 --> 00:24:29,039 probably 520 00:24:29,039 --> 00:24:31,760 build pick some AI 521 00:24:31,760 --> 00:24:36,960 thing and just use the Google Microsoft 522 00:24:36,960 --> 00:24:39,640 platforms and and go on top of that and 523 00:24:39,640 --> 00:24:42,120 try and because I'd be in touch with the 524 00:24:42,120 --> 00:24:44,679 customer so well and improving my data 525 00:24:44,679 --> 00:24:45,880 keep 526 00:24:45,880 --> 00:24:49,360 ahead um you know and I'd say okay who's 527 00:24:49,360 --> 00:24:52,840 the most demanding customer for this uh 528 00:24:52,840 --> 00:24:55,120 and go after that it might be fun you 529 00:24:55,120 --> 00:24:57,320 know like clearing legal backlogs you 530 00:24:57,320 --> 00:24:59,880 know that one kind of fast fascinates me 531 00:24:59,880 --> 00:25:02,880 uh because it it's a mechanism that 532 00:25:02,880 --> 00:25:07,520 helps all uh business activity um I'd 533 00:25:07,520 --> 00:25:09,200 Envy the guys who get to work on the 534 00:25:09,200 --> 00:25:12,640 foundation models I'd say damn uh even I 535 00:25:12,640 --> 00:25:14,799 sort of Envy them because when I was 536 00:25:14,799 --> 00:25:17,960 young I thought gosh you know when is AI 537 00:25:17,960 --> 00:25:19,279 really going to make the 538 00:25:19,279 --> 00:25:22,679 Breakthrough it took a lot longer uh 539 00:25:22,679 --> 00:25:24,760 than I expected I'm glad now I get to 540 00:25:24,760 --> 00:25:27,880 play a supportive uh role help shape it 541 00:25:27,880 --> 00:25:31,440 a bit s uh engages me and now you know 542 00:25:31,440 --> 00:25:33,720 we're using AI in our foundation work 543 00:25:33,720 --> 00:25:36,520 and whether it's drug Discovery or all 544 00:25:36,520 --> 00:25:39,760 these things uh so we can be way more 545 00:25:39,760 --> 00:25:42,080 ambitious than we were before it came 546 00:25:42,080 --> 00:25:44,960 along I happened to meet Satya and Sund 547 00:25:44,960 --> 00:25:47,520 when I was in the US and uh we were 548 00:25:47,520 --> 00:25:49,640 having dinner at a certain place 549 00:25:49,640 --> 00:25:52,120 together and these guys seem to talk 550 00:25:52,120 --> 00:25:54,399 about AG 551 00:25:54,399 --> 00:25:57,080 AGI in a very precocious manner like 552 00:25:57,080 --> 00:25:59,640 it's much closer than anybody is 553 00:25:59,640 --> 00:26:02,720 thinking it is do you think that there 554 00:26:02,720 --> 00:26:04,440 there could be one day when suddenly we 555 00:26:04,440 --> 00:26:06,120 are surprised like a couple of years 556 00:26:06,120 --> 00:26:09,200 down the line and there's so 557 00:26:09,200 --> 00:26:13,480 much there's not really a really good 558 00:26:13,480 --> 00:26:17,159 definition these models already today 559 00:26:17,159 --> 00:26:19,799 when you have lots of lots of documents 560 00:26:19,799 --> 00:26:21,679 you know more than a human could read in 561 00:26:21,679 --> 00:26:24,480 lifetime it is able to find things and 562 00:26:24,480 --> 00:26:27,200 reason across these documents in a 563 00:26:27,200 --> 00:26:28,880 superhuman way 564 00:26:28,880 --> 00:26:31,000 and so when you think about a lawsuit or 565 00:26:31,000 --> 00:26:33,320 a drug filing you anything that gets to 566 00:26:33,320 --> 00:26:37,640 be over say 10,000 Pages human cognition 567 00:26:37,640 --> 00:26:40,240 even a great specialist person you got 568 00:26:40,240 --> 00:26:43,679 10,000 pages I dare you uh and these 569 00:26:43,679 --> 00:26:46,399 things it's not just keyword search this 570 00:26:46,399 --> 00:26:48,360 is semantic 571 00:26:48,360 --> 00:26:50,880 representation of that level of 572 00:26:50,880 --> 00:26:53,559 complexity so we're already 573 00:26:53,559 --> 00:26:57,120 superhuman in a dimension that is kind 574 00:26:57,120 --> 00:26:59,559 of surprising I mean I thought robots 575 00:26:59,559 --> 00:27:01,399 you know would be taking over the 576 00:27:01,399 --> 00:27:04,240 warehouse you know 10 years before 577 00:27:04,240 --> 00:27:07,360 they'd be studying our legal and 578 00:27:07,360 --> 00:27:11,480 Regulatory documents and we know that we 579 00:27:11,480 --> 00:27:13,919 have Brute Force scale up we have a lot 580 00:27:13,919 --> 00:27:16,279 of external algorithms you know to help 581 00:27:16,279 --> 00:27:19,720 the AI know how hard to work I mean most 582 00:27:19,720 --> 00:27:21,120 people don't realize 583 00:27:21,120 --> 00:27:24,440 today it works exactly the same amount 584 00:27:24,440 --> 00:27:28,679 where it puts out the next word 585 00:27:28,679 --> 00:27:31,520 is and it doesn't think in advance it 586 00:27:31,520 --> 00:27:33,559 doesn't think okay I have to write this 587 00:27:33,559 --> 00:27:37,640 poem let me figure it all out no it it 588 00:27:37,640 --> 00:27:40,519 it it's generating word by word and so 589 00:27:40,519 --> 00:27:43,279 getting it to go faster when it's easy 590 00:27:43,279 --> 00:27:45,640 or take more time like math problems you 591 00:27:45,640 --> 00:27:48,080 know we we all laugh because it's 592 00:27:48,080 --> 00:27:50,600 actually quite bad at certain type of 593 00:27:50,600 --> 00:27:53,039 recursive math things like Sudoku 594 00:27:53,039 --> 00:27:56,960 puzzles which are trivial uh in fact if 595 00:27:56,960 --> 00:27:58,880 you say to the AI put this into 596 00:27:58,880 --> 00:28:01,679 algebraic form and then give it to a 597 00:28:01,679 --> 00:28:04,640 tiny little solver it's perfect but its 598 00:28:04,640 --> 00:28:07,799 current algorithm is this single linear 599 00:28:07,799 --> 00:28:10,480 pass print the most probable token 600 00:28:10,480 --> 00:28:12,840 single and so there's a lot of control 601 00:28:12,840 --> 00:28:14,559 architecture work that's been played 602 00:28:14,559 --> 00:28:17,679 around with to deal with these quality 603 00:28:17,679 --> 00:28:21,200 issues you know clearly humans we think 604 00:28:21,200 --> 00:28:22,399 okay for this 605 00:28:22,399 --> 00:28:25,360 problem it's just a joke blurt something 606 00:28:25,360 --> 00:28:27,840 out uh they're asking me for medical 607 00:28:27,840 --> 00:28:29,559 advice advice or marriage advice I 608 00:28:29,559 --> 00:28:33,399 better you know really um think through 609 00:28:33,399 --> 00:28:36,760 the implications and and so the control 610 00:28:36,760 --> 00:28:40,760 system uh as well as the the extra scale 611 00:28:40,760 --> 00:28:44,080 is going to drive improvements at you 612 00:28:44,080 --> 00:28:47,440 know some rate that could be quite rapid 613 00:28:47,440 --> 00:28:50,240 right no thank you so much bill for 614 00:28:50,240 --> 00:28:52,120 having taken the time with me today and 615 00:28:52,120 --> 00:28:55,519 uh look forward to seeing you in May 616 00:28:55,519 --> 00:28:59,160 Califoria thank you 617 00:28:59,160 --> 00:29:04,929 [Music] 618 00:29:06,799 --> 00:29:10,440 hi guys we are in there today I'm trying 619 00:29:10,440 --> 00:29:16,840 to fruit a new a very interesting guest 620 00:29:16,840 --> 00:29:18,279 and 621 00:29:18,279 --> 00:29:21,279 uh we're going to do something fun what 622 00:29:21,279 --> 00:29:23,760 else we have for what else what else we 623 00:29:23,760 --> 00:29:26,720 have for did you 624 00:29:26,720 --> 00:29:29,780 know that your 625 00:29:29,780 --> 00:29:31,360 [Music] 626 00:29:31,360 --> 00:29:36,640 baby save us actually being serious did 627 00:29:36,640 --> 00:29:37,880 you 628 00:29:37,880 --> 00:29:40,840 know that your 629 00:29:40,840 --> 00:29:43,960 baby would 630 00:29:43,960 --> 00:29:46,799 something this is our beautiful 631 00:29:46,799 --> 00:29:51,080 beautiful venue we have Mark that 632 00:29:51,080 --> 00:29:54,679 Sheldon everyone's setting up lights 633 00:29:54,679 --> 00:29:55,799 this is where everyone's going to be 634 00:29:55,799 --> 00:29:57,360 sitting we're going to have a live 635 00:29:57,360 --> 00:29:59,440 screen monitor here which I'll probably 636 00:29:59,440 --> 00:30:02,880 be looking at a 637 00:30:02,880 --> 00:30:06,200 boom broad mic and that's what we're 638 00:30:06,200 --> 00:30:09,679 going to place on top of the two sers hi 639 00:30:09,679 --> 00:30:12,080 Chan this the first time we working 640 00:30:12,080 --> 00:30:15,279 together what are your 641 00:30:15,279 --> 00:30:18,270 thoughts you don't look stressed at 642 00:30:18,270 --> 00:30:22,600 [Music] 643 00:30:22,600 --> 00:30:25,799 all that's called a skimo that we're 644 00:30:25,799 --> 00:30:28,039 going to put over the guest that's our 645 00:30:28,039 --> 00:30:31,000 spot and that's how big the schemmer is 646 00:30:31,000 --> 00:30:34,320 I'm also worried about other things so 647 00:30:34,320 --> 00:30:36,159 let's see then how it looks and then 648 00:30:36,159 --> 00:30:38,440 take a b we're going to change the rose 649 00:30:38,440 --> 00:30:42,799 it doesn't look so nice does it 650 00:30:44,630 --> 00:31:06,119 [Music] 651 00:31:13,200 --> 00:31:15,220 is that okay yeah that was 652 00:31:15,220 --> 00:31:18,960 [Music] 653 00:31:18,960 --> 00:31:22,440 fantastic how does it feel 654 00:31:22,440 --> 00:31:26,559 good little bit a little bit more H say 655 00:31:26,559 --> 00:31:29,919 something wait46209

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