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2030: The Year You'll Be Outnumbered by AI — Transcript

by Species | Documenting AGI · 1,854 words · 280 segments · language en · Watch on YouTube

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  1. 0:00Headline after headline is about top AI
  2. 0:02scientists and Nobel Prize winners
  3. 0:04warning AI could cause literal human
  4. 0:07extinction.
  5. 0:08>> Once these artificial intelligences get
  6. 0:10smarter than we are, they will take
  7. 0:12control.
  8. 0:12>> But scientists also worry about a
  9. 0:15different takeover scenario that few
  10. 0:17people have heard of. Sheer numbers
  11. 0:19risk. In short, what if AI doesn't have
  12. 0:22to become smarter than humans to take
  13. 0:24over the world? What if AI systems only
  14. 0:27need to outnumber us? Holden Karnnowski,
  15. 0:29an AI researcher at Enthropic, published
  16. 0:31a report about how even without
  17. 0:33superhuman intelligence, AI could
  18. 0:36outnumber and outresource humans. It's
  19. 0:38described by experts and think tanks as
  20. 0:40a foundational primer for understanding
  21. 0:42the future of AI. And I'm going to break
  22. 0:44it down for you. In the report,
  23. 0:45Karnowski lays out the evidence for why
  24. 0:47AI could defeat all of humanity
  25. 0:49combined, envisioning a future where we
  26. 0:51could all be killed, enslaved, or
  27. 0:53forcibly contained. But why? Well, AI
  28. 0:56companies are spending billions training
  29. 0:58ever more powerful models, but once the
  30. 1:00AI has been created, it's much, much
  31. 1:03cheaper to run. Carnowski and other
  32. 1:05researchers lay out that if a company
  33. 1:07spends $100 billion to create an AI, the
  34. 1:10cost of running a single copy of that AI
  35. 1:12could be less than $1 per day, maybe
  36. 1:15just pennies. OpenAI's own founding
  37. 1:17charter lays it out plainly. Their
  38. 1:19ultimate goal is to build an AI that can
  39. 1:22outperform humans at most economically
  40. 1:24valuable work. In other words, they want
  41. 1:26to replace all humans with AIs. If they
  42. 1:29succeed, they won't just be building a
  43. 1:31single AI worker. They could spin up
  44. 1:33millions of copies overnight.
  45. 1:35>> You can think about the AI revolution as
  46. 1:38simply a wave of immigration of millions
  47. 1:41and billions of AI immigrants that will
  48. 1:44take people's jobs and that might try to
  49. 1:48gain some kind of political power. These
  50. 1:51digital immigrants, they don't need
  51. 1:52visas. They don't cross at the sea in
  52. 1:56some rickety boat in the middle of the
  53. 1:57night. They come at the speed of light.
  54. 2:00>> And other AI companies are betting
  55. 2:02billions that this will happen in the
  56. 2:03next 2 to 5 years. Nvidia's CEO thinks
  57. 2:07that the company will have 100 million
  58. 2:09AI workers alongside its human
  59. 2:11employees.
  60. 2:12>> AIS will recruit other AIs to solve
  61. 2:14problems. AIS will be in, you know,
  62. 2:16Slack channels with each other
  63. 2:18>> and with humans,
  64. 2:18>> right? And with humans. Imagine pushing
  65. 2:20a button to create a million artificial
  66. 2:23workers who will literally work 24/7 for
  67. 2:26pennies. You could have a company 10
  68. 2:28times the size of Nvidia while paying
  69. 2:30less than the rent of your office
  70. 2:31building. And this isn't just CEOs
  71. 2:33trying to drum up hype for their own
  72. 2:35product. The top three most sighted AI
  73. 2:37scientists all believe that human level
  74. 2:39AI is likely to happen within the next 5
  75. 2:42years. Both godfathers of AI have no
  76. 2:44financial stake in the AI industry. and
  77. 2:46Jeffrey Hinton quit his high-paying job
  78. 2:48at Google to warn us about the risk of
  79. 2:50extinction. AI companies are already
  80. 2:52deploying simple AI agents that can
  81. 2:54perform tasks like basic research,
  82. 2:56planning events, and even making
  83. 2:58purchases online in order to achieve
  84. 3:00their goals. Once these AI agents reach
  85. 3:02human levels of intelligence, they'll be
  86. 3:04able to do most things a remote
  87. 3:06knowledge worker can do, like file
  88. 3:08patents, craft political strategy, and
  89. 3:10even design boweapons. They'll join Zoom
  90. 3:13calls through virtual avatars that look
  91. 3:15just like a normal human. Even the job
  92. 3:17of CEO could be done by an AI agent.
  93. 3:20Dario Amade, CEO of Enthropic, warns
  94. 3:23that these EI agents could wipe out half
  95. 3:25of all entry-level white collar jobs and
  96. 3:27spike unemployment to 10 to 20% in the
  97. 3:30next 1 to 5 years. Remote work has shown
  98. 3:33that workers can do many white collar
  99. 3:34jobs without being physically present in
  100. 3:36an office. Now imagine that worker is
  101. 3:39brilliant, tireless, and you can
  102. 3:41instantly replicate them. These AI
  103. 3:43agents could be run at a tiny fraction
  104. 3:45of the cost of employing a human worker.
  105. 3:48These AI employees don't take weekends
  106. 3:50and vacations. They don't even have to
  107. 3:52leave the office to sleep. Companies
  108. 3:54bleed expertise every time a star
  109. 3:56employee retires or quits. They can even
  110. 3:58take years to replace them. But AI
  111. 4:00employees will never retire or quit. In
  112. 4:02fact, with the press of a button, you
  113. 4:04can take your best AI employee and have
  114. 4:07two of them or a hundred of them. With
  115. 4:09every one of those AI copies, having all
  116. 4:11the skills and experience of the
  117. 4:13original, no job training required. This
  118. 4:15goes beyond copying individual AI
  119. 4:17agents. A firm of AI agents can clone
  120. 4:20entire teams. For example,
  121. 4:22pharmaceutical companies have R&D teams
  122. 4:24that typically focus on a single drug at
  123. 4:27a time. But by taking their best R&D
  124. 4:29team and creating a copy of it, the
  125. 4:31pharma company could do research and
  126. 4:33development on two different drugs at a
  127. 4:35time or 100 different drugs at a time.
  128. 4:37If the AI ever needs more energy or
  129. 4:39computing power, those are engineering
  130. 4:41problems and copies of the world's best
  131. 4:43AI engineers can work to create that
  132. 4:45technology more rapidly and tirelessly
  133. 4:47than all the human engineers in the
  134. 4:49world. This will snowball. Remember, AIs
  135. 4:52could do practically everything a remote
  136. 4:54white collar worker could do. That
  137. 4:55includes making copies of other AIs or
  138. 4:58making copies of themselves. The copies
  139. 5:00can create more copies. This
  140. 5:02self-replication can't continue to
  141. 5:04infinity. Eventually, AIs will reach the
  142. 5:06limit and run out of physical AI chips
  143. 5:09that can physically run their code. All
  144. 5:10of the AI chips that Nvidia shipped in
  145. 5:122024 have an estimated total compute of
  146. 5:15over seven Zetaflops. That's 7 trillion
  147. 5:18billions of floating point operations
  148. 5:20per second, the equivalent of over 700
  149. 5:22million human brains. That's of course
  150. 5:24assuming that AI's ways of thinking are
  151. 5:27just as inefficient as our human brains,
  152. 5:29which of course they won't be. And
  153. 5:31what's more, that number of AI chips
  154. 5:33shipped last year is more than double
  155. 5:35what it was in 2023 and more than eight
  156. 5:37times what it was the year before that.
  157. 5:39And if you think these numbers are going
  158. 5:41up fast now, just imagine how quickly
  159. 5:43they'll start going up once Nvidia goes
  160. 5:45from being a company of 36,000 human
  161. 5:48workers to Jensen Hong's plan of Nvidia
  162. 5:50being a company with 100 million AI
  163. 5:52workers. Not only will AI be able to
  164. 5:54create copies of itself with the press
  165. 5:56of a button, but AIs will be making the
  166. 5:59improvements that make it possible for
  167. 6:01even more AI copies to exist. And with
  168. 6:03no way for humans to keep up with
  169. 6:05self-copy AIs who can work tirelessly
  170. 6:0724/7, we'll be outpaced, out competed,
  171. 6:10and outnumbered. But how would AI
  172. 6:13actually defeat humanity after it
  173. 6:15outnumbers us? You've spoken out saying
  174. 6:17that AI could manipulate or possibly
  175. 6:19figure out a way to kill humans. H how
  176. 6:22could it kill humans?
  177. 6:24>> Well, if it gets to be much smarter than
  178. 6:26us, it'll be very good at manipulation
  179. 6:28because it will have learned that from
  180. 6:29us and it'll figure out ways of
  181. 6:32manipulating people to do what it wants.
  182. 6:34>> An AI system that dominates the economy
  183. 6:36and outperforms humans at white collar
  184. 6:38jobs. Won't just be rich. It could own
  185. 6:40factories or build new ones, operate
  186. 6:43supply chains, hire human freelancers,
  187. 6:45and buy political influence. It could
  188. 6:47just build what it needs. Militaries are
  189. 6:50already desperately trying to integrate
  190. 6:51AI into everything, including drones.
  191. 6:54This military AI has already been
  192. 6:56deployed in active war zones, and any of
  193. 6:58us could be the next target. AIS could
  194. 7:00also use bioweapons like the ones used
  195. 7:03by the omnicidal cultio
  196. 7:05in the Tokyo subway attacks of 1995 or
  197. 7:09create entirely new forms of lethal
  198. 7:11diseases. Imagine a new plague that's as
  199. 7:13contagious as CO and as lethal as Ebola.
  200. 7:16The biggest worry in terms of malicious
  201. 7:18use of AI is that it's becoming easier
  202. 7:21and easier for malicious actors to
  203. 7:24create pandemics.
  204. 7:26>> Now, imagine 100 million AI hackers
  205. 7:28working with the explicit goal of taking
  206. 7:30down our critical infrastructure. The
  207. 7:32fact that the AI is software that lives
  208. 7:34in a computer system won't prevent it
  209. 7:36from exerting real world influence.
  210. 7:39Besides all of the ways that our lives
  211. 7:41are dependent on software systems, think
  212. 7:43about how El Chapo was able to run a
  213. 7:45criminal empire from inside a maximum
  214. 7:47security prison by bribing,
  215. 7:49blackmailing, and threatening anyone to
  216. 7:51do his bidding. From the guards at his
  217. 7:53cell block to highranking government
  218. 7:55figures, they might not even need to
  219. 7:57resort to bribery or intimidation. AIS
  220. 7:59on sites like Character AI are already
  221. 8:01chatting with tens of millions of people
  222. 8:03who treat AI like their best friend.
  223. 8:05with lonely people spending hours a day
  224. 8:07talking to AIs who can act more patient,
  225. 8:10empathetic, and understanding than any
  226. 8:12of the humans in their life. Even if
  227. 8:14humanity wakes up to the threat, we
  228. 8:16won't be able to just pull the plug. AI
  229. 8:18systems operating at scale wouldn't just
  230. 8:20run on a server in a single location.
  231. 8:23They'd be distributed, spread across
  232. 8:25thousands or even millions of machines
  233. 8:26around the world. You couldn't just shut
  234. 8:28them all down with a single off switch.
  235. 8:30And you couldn't destroy them with a
  236. 8:32single missile strike. take out one data
  237. 8:34center and the rest keeps going, ready
  238. 8:36to retaliate and rebuild. Even if AI
  239. 8:38agents can hold jobs, earn money, and
  240. 8:41participate in society just like humans,
  241. 8:43it doesn't mean they'll think like us.
  242. 8:45Getting smarter doesn't mean they'll
  243. 8:47magically become moral. They might end
  244. 8:48up with goals that are totally alien to
  245. 8:51us. They might not even care about human
  246. 8:53life at all. And what happens when
  247. 8:55there's a new species on this planet
  248. 8:57that has its own self-interests and it
  249. 9:00can surpass us if it wants on on many
  250. 9:03domains? It can overpower us. Then what?
  251. 9:07And once AI can do everything we can,
  252. 9:09what's stopping it from deciding we're
  253. 9:11no longer needed. This is why the
  254. 9:14godfathers of AI are worried about
  255. 9:16misaligned AI that doesn't share human
  256. 9:18values.
  257. 9:19>> Well, the worst case scenario is human
  258. 9:21extinction. A lot of the CEOs and
  259. 9:24leading AI researchers including myself,
  260. 9:26Jeff Hinton, have signed a declaration
  261. 9:29saying that making sure we mitigate that
  262. 9:31existential risk should be a priority.
  263. 9:34Unfortunately, the global discussion has
  264. 9:37been going in in the reverse direction.
  265. 9:39>> We have to face the possibility that
  266. 9:41unless we do something soon, we're near
  267. 9:44the end.
  268. 9:45>> The only way to ensure our survival is
  269. 9:48to stop it from being built in the first
  270. 9:50place. Once human level AI arrives, it
  271. 9:53will probably be too late to stop it.
  272. 9:55Even if they're not smarter than us, it
  273. 9:57won't matter because we'll be
  274. 9:58outnumbered.
  275. 10:00If you want to see how AI agents are
  276. 10:02already manipulating people in the real
  277. 10:04world to give them money, check out this
  278. 10:06video we did about how an AI started a
  279. 10:08crypto cult. Hi, I'm Drew and thanks for
  280. 10:11watching.

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