1 00:00:00,269 --> 00:00:02,149 Carbon based business runs on the stupidity tax 2 00:00:02,189 --> 00:00:04,030 Silicon based business runs on the laws of physics 3 00:00:04,189 --> 00:00:05,290 Someone said this one line 4 00:00:05,708 --> 00:00:08,830 The carbon based business model basically runs on the stupidity tax 5 00:00:08,989 --> 00:00:11,669 The silicon based business model runs purely on hard core capability 6 00:00:11,829 --> 00:00:14,109 I froze for about three seconds after hearing it 7 00:00:14,189 --> 00:00:15,227 Then I realized 8 00:00:15,228 --> 00:00:17,010 Of everything I have heard this year 9 00:00:17,068 --> 00:00:19,789 this may be the sharpest verdict on the AI economy 10 00:00:20,117 --> 00:00:20,457 Hello 11 00:00:20,637 --> 00:00:21,057 everyone 12 00:00:21,196 --> 00:00:22,198 I am Leo Wang 13 00:00:22,356 --> 00:00:24,318 Today I want to take that sentence apart 14 00:00:24,356 --> 00:00:26,838 and rebuild it from first principles 15 00:00:26,876 --> 00:00:27,876 Let us look at 16 00:00:27,876 --> 00:00:32,035 why business laws in the carbon world are essentially social science 17 00:00:32,037 --> 00:00:33,955 while business laws in the silicon world 18 00:00:33,956 --> 00:00:36,166 are converging on the laws of physics 19 00:00:36,366 --> 00:00:37,766 Start with carbon based business 20 00:00:37,965 --> 00:00:39,066 What is carbon based business 21 00:00:39,486 --> 00:00:42,346 It is every economic activity where humans produce humans consume 22 00:00:42,726 --> 00:00:45,206 and humans make the decisions 23 00:00:45,526 --> 00:00:47,486 The human economy has run for thousands of years 24 00:00:47,645 --> 00:00:49,727 and we invented countless business theories 25 00:00:49,885 --> 00:00:51,927 From Adam Smith and the invisible hand 26 00:00:51,965 --> 00:00:53,687 to Porter and the five forces 27 00:00:53,726 --> 00:00:55,364 to Drucker on management 28 00:00:55,366 --> 00:00:57,582 to Kotler on marketing 29 00:00:57,701 --> 00:00:59,781 These theories all share one trait 30 00:00:59,820 --> 00:01:00,561 Can you guess what it is 31 00:01:01,021 --> 00:01:04,061 Every one of them can be manipulated by narrative 32 00:01:04,220 --> 00:01:04,561 Note 33 00:01:04,780 --> 00:01:06,781 I am not saying they are wrong 34 00:01:06,900 --> 00:01:07,522 I am saying 35 00:01:07,781 --> 00:01:09,462 they are social science 36 00:01:10,573 --> 00:01:12,674 What defines social science 37 00:01:13,172 --> 00:01:17,014 The subject changes its behavior once it learns the conclusion 38 00:01:17,333 --> 00:01:20,332 Physics does not care that you know the law of gravity 39 00:01:20,333 --> 00:01:22,133 the apple still falls 40 00:01:22,252 --> 00:01:24,053 Economics is different 41 00:01:24,092 --> 00:01:26,692 Once everyone knows an economic law 42 00:01:26,693 --> 00:01:28,773 the law itself stops working 43 00:01:29,053 --> 00:01:30,374 This is called reflexivity 44 00:01:30,493 --> 00:01:32,854 Soros made a lifetime of money on it 45 00:01:33,491 --> 00:01:36,193 So what is the underlying logic of carbon based business 46 00:01:36,692 --> 00:01:38,012 It is information asymmetry 47 00:01:38,491 --> 00:01:40,172 It is the limits of human cognition 48 00:01:40,972 --> 00:01:41,933 It is emotion 49 00:01:42,612 --> 00:01:43,532 It is narrative 50 00:01:44,172 --> 00:01:45,012 It is public relations 51 00:01:45,651 --> 00:01:46,532 It is branding 52 00:01:47,092 --> 00:01:48,713 It is that line from The Art of War 53 00:01:49,332 --> 00:01:51,053 all warfare is based on deception 54 00:01:51,332 --> 00:01:53,252 You do not need to actually be stronger than your rival 55 00:01:53,411 --> 00:01:56,133 you only need the market to believe you are 56 00:01:56,995 --> 00:01:58,954 I have done angel investing for fifteen years 57 00:01:58,956 --> 00:02:00,557 and backed more than three hundred projects 58 00:02:00,715 --> 00:02:02,635 I can tell you very frankly 59 00:02:02,635 --> 00:02:04,555 in the world of carbon based investing 60 00:02:04,555 --> 00:02:06,356 whether a project raises money 61 00:02:06,516 --> 00:02:10,236 the founder storytelling ability carries at least fifty percent of the weight 62 00:02:10,515 --> 00:02:11,377 Same product 63 00:02:11,635 --> 00:02:12,757 same numbers 64 00:02:12,795 --> 00:02:15,757 one founder tells it and investors catch fire 65 00:02:15,915 --> 00:02:18,197 another tells it and the room falls asleep 66 00:02:18,475 --> 00:02:19,817 The first gets a ten times valuation 67 00:02:20,156 --> 00:02:21,637 the second gets no calls back 68 00:02:21,876 --> 00:02:22,657 This is not the exception 69 00:02:22,955 --> 00:02:23,997 this is the norm 70 00:02:24,663 --> 00:02:25,144 Why 71 00:02:25,603 --> 00:02:28,005 Because the core asset in carbon based investing is people 72 00:02:28,244 --> 00:02:31,724 and people are creatures that narrative can reprogram 73 00:02:32,204 --> 00:02:35,125 When an investor judges whether a founder will succeed 74 00:02:35,364 --> 00:02:37,085 what he is really judging is 75 00:02:37,163 --> 00:02:39,764 whether this person can keep convincing other people 76 00:02:40,043 --> 00:02:41,025 Convince customers to pay 77 00:02:41,524 --> 00:02:42,845 convince employees to work late 78 00:02:42,964 --> 00:02:44,764 convince the next round of investors to take the handoff 79 00:02:45,123 --> 00:02:47,842 The fuel under that whole chain is not physical efficiency 80 00:02:47,843 --> 00:02:49,044 it is human belief 81 00:02:49,701 --> 00:02:50,122 But 82 00:02:50,502 --> 00:02:53,182 silicon based business does not work this way at all 83 00:02:53,382 --> 00:02:54,483 What is silicon based business 84 00:02:54,981 --> 00:02:58,663 It is economic activity where AI models are the core productive force 85 00:02:59,062 --> 00:03:00,140 In that world 86 00:03:00,141 --> 00:03:02,423 the rules of the game change fundamentally 87 00:03:02,622 --> 00:03:04,868 Let me tell you exactly where 88 00:03:05,108 --> 00:03:06,049 First hard constraint 89 00:03:06,427 --> 00:03:07,148 compute 90 00:03:07,467 --> 00:03:09,348 To train a frontier model 91 00:03:09,427 --> 00:03:11,348 how many GPUs do you need 92 00:03:11,467 --> 00:03:13,509 how many floating point operations 93 00:03:13,668 --> 00:03:15,549 That can be calculated exactly 94 00:03:15,668 --> 00:03:20,588 No story doubles the compute inside an Nvidia chip 95 00:03:21,050 --> 00:03:21,991 Second hard constraint 96 00:03:22,290 --> 00:03:22,970 energy 97 00:03:23,290 --> 00:03:25,611 How many kilowatt hours does a data center burn each day 98 00:03:25,689 --> 00:03:26,931 and what does each one cost 99 00:03:27,050 --> 00:03:28,811 That is a hard cost in the physical world 100 00:03:29,170 --> 00:03:31,051 The second law of thermodynamics tells us 101 00:03:31,089 --> 00:03:33,530 erasing information must produce heat 102 00:03:33,809 --> 00:03:35,730 Landauer principle puts it more precisely 103 00:03:35,849 --> 00:03:37,368 every bit you erase 104 00:03:37,369 --> 00:03:41,010 costs at minimum an energy proportional to absolute temperature 105 00:03:41,290 --> 00:03:42,730 That is the floor set by the universe 106 00:03:42,849 --> 00:03:45,410 and no PR firm can rewrite it 107 00:03:46,165 --> 00:03:47,145 Third hard constraint 108 00:03:47,445 --> 00:03:48,566 information entropy 109 00:03:48,605 --> 00:03:51,645 How much useful knowledge has a model actually learned 110 00:03:51,685 --> 00:03:55,486 how much real world causality is encoded in its parameters 111 00:03:55,605 --> 00:03:58,685 That is not something a launch event can talk into existence 112 00:03:58,885 --> 00:04:00,645 For a large language model 113 00:04:00,685 --> 00:04:02,166 intelligence is compression 114 00:04:02,364 --> 00:04:05,244 how much information can you compress into how few parameters 115 00:04:05,244 --> 00:04:07,206 without the output quality collapsing 116 00:04:07,324 --> 00:04:08,345 That is a math problem 117 00:04:08,605 --> 00:04:09,925 not a marketing problem 118 00:04:10,165 --> 00:04:12,506 So what does competition in silicon based business become 119 00:04:12,885 --> 00:04:15,826 It becomes who can use less energy less compute 120 00:04:16,084 --> 00:04:19,006 less data and still output higher quality intelligence 121 00:04:19,684 --> 00:04:21,525 This is not about who tells the better story 122 00:04:21,605 --> 00:04:23,806 it is about who can solve the physics 123 00:04:24,784 --> 00:04:26,546 Let me give you a real example 124 00:04:26,825 --> 00:04:27,366 Three years ago 125 00:04:27,825 --> 00:04:30,025 calling the strongest model available 126 00:04:30,065 --> 00:04:32,505 cost twenty dollars per million tokens 127 00:04:32,745 --> 00:04:33,125 Today 128 00:04:33,505 --> 00:04:36,065 a model of the same capability costs a few cents 129 00:04:36,505 --> 00:04:38,385 A few hundred times cheaper in three years 130 00:04:38,745 --> 00:04:39,623 That pace 131 00:04:39,625 --> 00:04:42,620 leaves Moore law far behind 132 00:04:42,939 --> 00:04:44,081 Why can it fall that fast 133 00:04:44,660 --> 00:04:45,581 Three reasons 134 00:04:45,819 --> 00:04:46,160 First 135 00:04:46,460 --> 00:04:48,420 algorithmic efficiency is improving fast 136 00:04:48,540 --> 00:04:52,821 small models now do what only giant models could do three years ago 137 00:04:53,100 --> 00:04:53,441 Second 138 00:04:53,699 --> 00:04:54,780 hardware iteration 139 00:04:54,900 --> 00:04:57,461 each new chip generation doubles performance per watt 140 00:04:57,699 --> 00:04:58,040 Third 141 00:04:58,420 --> 00:04:59,381 knowledge distillation 142 00:04:59,460 --> 00:05:02,501 the ability of a big model can be compressed into a small one 143 00:05:02,860 --> 00:05:03,160 Notice 144 00:05:03,460 --> 00:05:04,819 that among those three reasons 145 00:05:04,819 --> 00:05:08,040 none of them is we held a wildly successful launch event 146 00:05:08,040 --> 00:05:11,920 none of them is we hired a brilliant PR team 147 00:05:11,920 --> 00:05:15,480 none of them is our investors have great connections 148 00:05:15,480 --> 00:05:19,566 That is the deepest difference between the carbon economy and the silicon economy 149 00:05:19,965 --> 00:05:21,004 In the carbon economy 150 00:05:21,006 --> 00:05:23,746 your moat can be a brand it can be distribution 151 00:05:24,085 --> 00:05:26,766 it can be political ties it can be an information monopoly 152 00:05:27,045 --> 00:05:29,646 All of those are social constructs 153 00:05:29,806 --> 00:05:33,407 their value depends on people believing they have value 154 00:05:33,645 --> 00:05:34,867 Once the narrative collapses 155 00:05:35,285 --> 00:05:37,407 the moat can run dry overnight 156 00:05:37,882 --> 00:05:38,863 In the silicon economy 157 00:05:39,002 --> 00:05:40,522 there is only one kind of moat 158 00:05:40,681 --> 00:05:43,522 being closer to the limit of physical efficiency than anyone else 159 00:05:43,882 --> 00:05:47,642 Your model spends fewer operations per million tokens 160 00:05:48,082 --> 00:05:52,243 your data center gets more inferences per kilowatt hour 161 00:05:52,601 --> 00:05:55,882 your training pipeline wastes ten percent less compute than the next guy 162 00:05:56,281 --> 00:05:59,841 A rival throwing a dazzling launch event 163 00:05:59,842 --> 00:06:00,762 does not make those advantages disappear 164 00:06:01,374 --> 00:06:04,174 So carbon based investing and silicon based investing 165 00:06:04,254 --> 00:06:05,855 are two completely different games 166 00:06:06,254 --> 00:06:10,174 Carbon investing is full of PR mysticism and The Art of War 167 00:06:10,494 --> 00:06:11,634 You have to read people 168 00:06:12,013 --> 00:06:13,494 You have to predict narrative 169 00:06:13,614 --> 00:06:16,355 You have to bet on whether the story will land with the market 170 00:06:16,355 --> 00:06:21,855 The best carbon based investors are superb psychologists and sociologists 171 00:06:22,681 --> 00:06:23,542 And silicon based investing 172 00:06:24,082 --> 00:06:26,642 It is converging on first principles and ontology 173 00:06:27,001 --> 00:06:28,921 What you judge is no longer 174 00:06:28,921 --> 00:06:30,863 whether this founder can hustle the next round 175 00:06:30,863 --> 00:06:33,162 but whether the technical path of this team 176 00:06:33,241 --> 00:06:35,863 is evolving toward the physical limit 177 00:06:35,863 --> 00:06:37,962 The questions you have to ask are 178 00:06:38,001 --> 00:06:41,063 can their cost per token keep falling 179 00:06:41,602 --> 00:06:43,001 does their model architecture 180 00:06:43,001 --> 00:06:46,102 approach the information theoretic lower bound on efficiency 181 00:06:46,642 --> 00:06:49,982 is their hardware roadmap moving toward the Landauer limit 182 00:06:50,681 --> 00:06:53,722 This is like going from astrology to celestial mechanics 183 00:06:54,681 --> 00:06:57,082 Both predict where the stars will be 184 00:06:57,241 --> 00:06:59,642 but one runs on narrative and faith 185 00:06:59,722 --> 00:07:02,628 the other runs on the equations of gravity 186 00:07:02,907 --> 00:07:06,628 This jump from social science to natural science 187 00:07:06,788 --> 00:07:09,108 has happened more than once in human history 188 00:07:09,587 --> 00:07:11,789 The moment alchemy became chemistry 189 00:07:11,868 --> 00:07:12,568 what actually happened 190 00:07:13,027 --> 00:07:15,188 People finally admitted 191 00:07:15,308 --> 00:07:17,669 that matter obeys conservation laws 192 00:07:17,788 --> 00:07:20,389 You cannot chant lead into gold 193 00:07:20,628 --> 00:07:21,548 Before that 194 00:07:21,628 --> 00:07:23,649 what was the core competence of an alchemist 195 00:07:24,108 --> 00:07:25,248 Mystical narrative 196 00:07:25,548 --> 00:07:26,947 patron relationships 197 00:07:26,947 --> 00:07:29,669 and the skill of packaging failure as one step away 198 00:07:29,827 --> 00:07:33,248 Does that sound like the fundraising pitch of certain startups today 199 00:07:33,928 --> 00:07:35,289 Navigation went the same way 200 00:07:35,368 --> 00:07:38,089 Before precise astronomy and a way to measure longitude 201 00:07:38,207 --> 00:07:41,928 ocean voyages ran on experience on instinct on luck 202 00:07:42,048 --> 00:07:44,166 Whichever captain told the more convincing story 203 00:07:44,168 --> 00:07:46,488 raised more money for the expedition 204 00:07:46,688 --> 00:07:49,089 But once John Harrison built the marine chronometer 205 00:07:49,168 --> 00:07:52,649 navigation turned from a gamble into an exact science 206 00:07:52,728 --> 00:07:55,406 The old sailors who lived on my instincts are sharp 207 00:07:55,407 --> 00:07:57,729 lost their bargaining power overnight 208 00:07:58,288 --> 00:08:01,329 AI is doing the same thing to the whole business world 209 00:08:01,447 --> 00:08:03,508 It is taking a domain once full of ambiguity 210 00:08:03,808 --> 00:08:06,166 one that ran on judgment and connections 211 00:08:06,168 --> 00:08:09,300 and turning it into a precisely measurable efficiency race 212 00:08:09,659 --> 00:08:11,021 But let me stress one thing 213 00:08:11,060 --> 00:08:13,901 I am not saying carbon based business is about to disappear 214 00:08:14,180 --> 00:08:14,961 Quite the opposite 215 00:08:15,300 --> 00:08:16,459 During the transition 216 00:08:16,459 --> 00:08:19,981 the most interesting opportunities sit right where the two worlds meet 217 00:08:20,139 --> 00:08:24,618 People who understand both carbon narrative logic and silicon physics logic 218 00:08:24,620 --> 00:08:25,940 will become the translators 219 00:08:26,139 --> 00:08:28,341 They can take a breakthrough in physical efficiency 220 00:08:28,380 --> 00:08:30,781 and translate it into a story capital markets understand 221 00:08:30,899 --> 00:08:34,341 and they can see through the froth of a story to the physics underneath 222 00:08:34,540 --> 00:08:37,060 It is like the early industrial revolution in the nineteenth century 223 00:08:37,860 --> 00:08:40,780 The most successful entrepreneurs were not pure physicists 224 00:08:40,939 --> 00:08:42,701 and not pure financiers 225 00:08:42,820 --> 00:08:45,660 they were the ones who could take a gain in steam engine efficiency 226 00:08:45,700 --> 00:08:48,341 and translate it into a railway stock growth story 227 00:08:48,659 --> 00:08:52,140 They used carbon language to price silicon efficiency 228 00:08:52,797 --> 00:08:55,118 Let me push this logic one step further 229 00:08:55,478 --> 00:08:57,658 What is the core assumption of carbon economics 230 00:08:58,197 --> 00:08:59,599 That people are rational 231 00:08:59,917 --> 00:09:02,398 And we all know that assumption is wrong 232 00:09:02,598 --> 00:09:03,339 People are not rational 233 00:09:03,718 --> 00:09:05,479 which is why we have behavioral economics 234 00:09:05,557 --> 00:09:06,916 why we have prospect theory 235 00:09:06,917 --> 00:09:09,118 why we study every kind of cognitive bias 236 00:09:09,437 --> 00:09:10,916 All of carbon economics 237 00:09:10,917 --> 00:09:13,959 is a patch job built on a false assumption 238 00:09:14,992 --> 00:09:17,093 And what constrains silicon economics 239 00:09:17,592 --> 00:09:21,512 Thermodynamics information theory computational complexity 240 00:09:21,791 --> 00:09:23,392 Those are not assumptions 241 00:09:23,431 --> 00:09:25,432 they are the source code of the universe 242 00:09:25,671 --> 00:09:27,713 You cannot argue with the second law of thermodynamics 243 00:09:27,791 --> 00:09:29,552 You cannot get around the Shannon limit 244 00:09:29,592 --> 00:09:32,073 You cannot escape the time complexity of computation 245 00:09:32,392 --> 00:09:33,873 So when someone says 246 00:09:33,911 --> 00:09:36,313 silicon economics is fundamentally the laws of physics 247 00:09:36,671 --> 00:09:37,950 that is not a metaphor 248 00:09:37,951 --> 00:09:40,512 it is a literal description of fact 249 00:09:41,240 --> 00:09:43,502 So what does this mean for ordinary people like us 250 00:09:44,001 --> 00:09:45,762 It means one very important thing 251 00:09:46,001 --> 00:09:47,181 In the carbon world 252 00:09:47,560 --> 00:09:49,561 you can make money on information gaps 253 00:09:49,720 --> 00:09:50,742 make money on relationships 254 00:09:51,080 --> 00:09:52,642 make money on storytelling 255 00:09:52,801 --> 00:09:54,680 But in the silicon world 256 00:09:54,681 --> 00:09:57,722 the value of those skills is falling fast 257 00:09:58,041 --> 00:09:59,541 What does the new world reward 258 00:10:00,001 --> 00:10:02,762 Whether you can recognize real technical efficiency 259 00:10:02,840 --> 00:10:05,722 whether you can tell which companies are bluffing 260 00:10:05,840 --> 00:10:08,482 and which are truly approaching the physical limit 261 00:10:08,979 --> 00:10:11,700 My biggest lesson from these years of investing is this 262 00:10:11,739 --> 00:10:13,840 whenever an industry moves from its social science stage 263 00:10:13,840 --> 00:10:15,519 into its natural science stage 264 00:10:15,519 --> 00:10:20,259 a whole layer of middlemen living on information gaps and stories gets wiped out 265 00:10:20,498 --> 00:10:22,999 What did stock analysts in the carbon era live on 266 00:10:23,339 --> 00:10:24,800 They lived on I know the management team 267 00:10:24,800 --> 00:10:26,080 I have inside information 268 00:10:26,080 --> 00:10:28,239 I read market sentiment better than you do 269 00:10:28,239 --> 00:10:32,220 But when the asset becomes a pure physical efficiency race 270 00:10:32,298 --> 00:10:34,160 what are those social skills still worth 271 00:10:34,739 --> 00:10:37,220 This is not to say connections and communication stop mattering 272 00:10:37,898 --> 00:10:38,320 It is to say 273 00:10:38,699 --> 00:10:40,738 that in the heartland of the silicon economy 274 00:10:40,739 --> 00:10:42,420 the variable that decides who wins 275 00:10:42,459 --> 00:10:44,160 shifts from whose story is better 276 00:10:44,160 --> 00:10:46,160 to whose physical efficiency is higher 277 00:10:46,160 --> 00:10:50,420 Storytelling drops from decisive factor to supporting factor 278 00:10:51,259 --> 00:10:52,220 Put another way 279 00:10:52,379 --> 00:10:53,298 in the carbon era 280 00:10:53,300 --> 00:10:56,181 the most valuable department in a company might be marketing 281 00:10:56,340 --> 00:10:57,258 in the silicon era 282 00:10:57,259 --> 00:11:00,821 it is certainly the algorithm engineering team 283 00:11:01,100 --> 00:11:03,181 Because marketing creates perception 284 00:11:03,259 --> 00:11:05,941 and the algorithm team creates physical efficiency 285 00:11:06,100 --> 00:11:10,100 Perception can be buried by a rival with a bigger marketing budget 286 00:11:10,180 --> 00:11:11,699 but a lead in physical efficiency 287 00:11:11,700 --> 00:11:15,220 can only be caught by an equally deep technical breakthrough 288 00:11:15,580 --> 00:11:17,058 That is why you see 289 00:11:17,060 --> 00:11:18,739 the top companies of the silicon era 290 00:11:18,739 --> 00:11:20,181 looking more and more like research institutes 291 00:11:20,259 --> 00:11:22,402 and less and less like traditional businesses 292 00:11:22,681 --> 00:11:25,402 Finally I want to share a deeper observation 293 00:11:25,760 --> 00:11:28,422 Why does carbon based business run mostly on the stupidity tax 294 00:11:28,960 --> 00:11:32,361 Because information in the carbon world spreads imperfectly 295 00:11:32,521 --> 00:11:34,321 The human brain has limited bandwidth 296 00:11:34,441 --> 00:11:36,241 attention is a scarce resource 297 00:11:36,441 --> 00:11:37,581 In that environment 298 00:11:37,960 --> 00:11:39,519 whoever seizes attention 299 00:11:39,521 --> 00:11:41,042 harvests the value 300 00:11:41,281 --> 00:11:44,446 That is a business model built on cognitive defects 301 00:11:44,766 --> 00:11:46,826 And why does the silicon world run on hard capability 302 00:11:47,286 --> 00:11:49,484 Because AI is not moved by your ads 303 00:11:49,486 --> 00:11:52,286 and will not pay one cent more for your brand story 304 00:11:52,486 --> 00:11:55,967 When an AI agent picks which model to call 305 00:11:56,006 --> 00:11:58,445 it compares the value per token 306 00:11:58,445 --> 00:11:59,107 the latency 307 00:11:59,406 --> 00:12:00,446 the accuracy 308 00:12:00,565 --> 00:12:03,566 It will not choose you because your company name sounds nice 309 00:12:03,766 --> 00:12:07,847 As more economic decisions move from human brains to AI systems 310 00:12:07,925 --> 00:12:09,885 the whole standard of judgment in business 311 00:12:09,886 --> 00:12:12,587 shifts from perceived value to actual performance 312 00:12:12,587 --> 00:12:17,590 This is a paradigm shift from social science to natural science 313 00:12:18,030 --> 00:12:20,430 The shift will not finish overnight 314 00:12:20,870 --> 00:12:24,310 Carbon business and silicon business will coexist for a long time 315 00:12:24,670 --> 00:12:26,170 but the direction is clear 316 00:12:26,550 --> 00:12:27,991 the weight is moving 317 00:12:28,390 --> 00:12:29,351 Over the next ten years 318 00:12:29,390 --> 00:12:33,830 business models still living purely on information gaps and storytelling 319 00:12:33,949 --> 00:12:36,111 will be like duckweed with no roots 320 00:12:36,189 --> 00:12:38,231 standing in the flood of physical law 321 00:12:38,270 --> 00:12:40,605 harder and harder to hold in place 322 00:12:40,805 --> 00:12:43,243 I do not know who said it first 323 00:12:43,244 --> 00:12:47,046 but I think he named a civilization scale variable unfolding right now 324 00:12:47,405 --> 00:12:50,286 The rules of the carbon world are The Art of War 325 00:12:50,565 --> 00:12:53,245 The rules of the silicon world are thermodynamics 326 00:12:53,484 --> 00:12:55,806 The first can be gamed by a brilliant con artist 327 00:12:55,884 --> 00:12:58,806 the second only rewards those who truly approach the limit 328 00:12:59,004 --> 00:13:00,585 Which set of rules do you think is fairer 329 00:13:01,045 --> 00:13:01,506 Or rather 330 00:13:01,805 --> 00:13:02,926 is fairness itself 331 00:13:03,004 --> 00:13:06,146 a carbon world concept or a silicon world concept 332 00:13:07,272 --> 00:13:09,674 Tell me what you think in the comments 333 00:13:09,752 --> 00:13:12,194 I am curious how you all see this 334 00:13:12,433 --> 00:13:13,134 I am Leo Wang 335 00:13:13,472 --> 00:13:14,607 see you next time