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Elon Musk on AI: humans will no longer be in control in ten years | The Economist — Transcript

by The Economist · 1,749 words · 264 segments · language en · Watch on YouTube

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  1. 0:00I think AI may exceed the sum of human
  2. 0:03intelligence
  3. 0:05in about in around five years.
  4. 0:07>> In five years,
  5. 0:08>> roughly five years is my guess. Um,
  6. 0:12so there really won't be anything that
  7. 0:15AI
  8. 0:16can't do better than humans apart from
  9. 0:19being human perhaps.
  10. 0:20>> In a more prosaic level, what will life
  11. 0:22be like?
  12. 0:25The most likely outcome
  13. 0:28is an age of amazing abundance uh where
  14. 0:34anyone can have anything they can think
  15. 0:36of.
  16. 0:37This is this is this may sound
  17. 0:39preposterous but well here we are in
  18. 0:412026.
  19. 0:43Let's see where we stand in 2036. Now of
  20. 0:45course there are things that could
  21. 0:47derail this like a a massive global
  22. 0:50thermonuclear war or something like
  23. 0:51that. Um, but assuming that there's not
  24. 0:54World War II,
  25. 0:56uh, I think I think we're headed for an
  26. 0:59age of amazing abundance. So, this is, I
  27. 1:01guess, a message of of optimism
  28. 1:05and, uh, excitement about the future.
  29. 1:07>> You're sure that humans will no longer
  30. 1:09be in control in 10 years time?
  31. 1:12>> I think it is unlikely. Um, in the same
  32. 1:14way that if you had a vastly more like,
  33. 1:20you know,
  34. 1:22the
  35. 1:24like like if if if the difference in
  36. 1:26intelligence between AI and humans is
  37. 1:30vastly greater than the difference in
  38. 1:31intelligence between AI and chimpanzees,
  39. 1:34it's hard to imagine that the
  40. 1:36chimpanzees would be in charge.
  41. 1:38>> I'm really sorry. We are essentially um
  42. 1:42an evolved form of chimpanzee. So it
  43. 1:45wasn't that long ago that we're swinging
  44. 1:47through the trees eating bananas um in
  45. 1:51the jungle and we still eat bananas.
  46. 1:53>> You said there was a 10 to 20% chance of
  47. 1:55killer robots wiping out humanity.
  48. 1:57>> So you sounded worried then. Now you
  49. 2:00seem very relaxed about it. Have you
  50. 2:02changed your view?
  51. 2:03>> I still think there's risk associated
  52. 2:06with AI and robots. It's not zero. Um,
  53. 2:09I' I guess I've come to
  54. 2:12my my sort of philosophical conclusion
  55. 2:15is to look on the bright side. Um, I
  56. 2:19like I I can't see any way to really
  57. 2:21stop this incredible momentum of AI and
  58. 2:25robots. Um, and and at times I sort of
  59. 2:29think, well, perhaps, you know, even if
  60. 2:31there was a stop button, we probably
  61. 2:33shouldn't press it. uh because
  62. 2:38because the most likely outcome is
  63. 2:41incredible abundance for for all.
  64. 2:45>> That's what I thought actually. It
  65. 2:46struck me that now you seem to have
  66. 2:48decided it's inevitable.
  67. 2:51Let's hope for the best and go for the
  68. 2:53ride.
  69. 2:54>> Yeah. I mean, yes, pretty much. Let's uh
  70. 2:59let's enjoy the ride is is is I think my
  71. 3:02philosophy at this point because I mean
  72. 3:03honestly this there's it's it's there
  73. 3:05there seems to be just an inexurable
  74. 3:08uh progress here in in AI and and in
  75. 3:12robots
  76. 3:13>> that um
  77. 3:15>> but you even if I wanted to stop it I
  78. 3:18don't I couldn't um
  79. 3:20>> do you think there's still a 10 to 20%
  80. 3:21chance that killer robots mean the end
  81. 3:24of humanity?
  82. 3:27That's a high P doom as they say.
  83. 3:30>> Well,
  84. 3:32in the long run, we're all dead of
  85. 3:33course. Um, you know, um, so I mean, so
  86. 3:36I mean like according to the standard
  87. 3:40model of physics, the end of the
  88. 3:42universe is um a long boring sort of
  89. 3:47thin gray soup of uh gradual cooling. um
  90. 3:54meaning the sort of the heat death of
  91. 3:56the universe it's called. So now if if
  92. 3:58the heat death of the universe is in
  93. 4:00fact the outcome for our reality, then
  94. 4:03it really is all about the journey
  95. 4:05because the destination is terrible.
  96. 4:07>> But 10 years [laughter] is not very
  97. 4:08Yeah, I get that. But that could be a
  98. 4:10long way and you're basically very long
  99. 4:12way.
  100. 4:12>> If it's 10 to 20% in 10 years, you know,
  101. 4:15would you go into one of your rockets if
  102. 4:16you thought there was a 10 to 20% chance
  103. 4:18of it blowing up and killing you?
  104. 4:21>> Yes. But [laughter]
  105. 4:23but let's say there's you can't do
  106. 4:25anything about it. Mhm.
  107. 4:27>> that I guess the only thing we can try
  108. 4:29to do is minimize the probability of the
  109. 4:32bad outcome. Um but trying to stop the
  110. 4:36intelligence in robots.
  111. 4:38Um
  112. 4:40I mean for the longest time I
  113. 4:44declined to participate in AI or was you
  114. 4:47know you know created open AI as a
  115. 4:51essentially a counterweight to to Google
  116. 4:52because at the time they were um they
  117. 4:55had more or less a monopoly on AI in
  118. 4:57creating open AI and then having
  119. 4:59anthropics spin out of that and now
  120. 5:01currently anthropics leader in AI. Um,
  121. 5:06I mean the these actions have actually
  122. 5:08resulted in
  123. 5:10knock-on effects that accelerated AI,
  124. 5:13which wasn't really my intention.
  125. 5:16So, it just seems like all roads lead to
  126. 5:19acceleration of AI.
  127. 5:22So, then I'm like, okay, well, you can
  128. 5:24just sort of be sad about it or
  129. 5:27join the club, I suppose.
  130. 5:29>> Well, you've certainly joined the club.
  131. 5:30>> Yeah, [laughter]
  132. 5:31>> you definitely joined the club. If you
  133. 5:33can't beat him, join them. You know,
  134. 5:35>> a number of the other leaders of of
  135. 5:38model makers have been pushing for
  136. 5:40different ways to try and minimize the
  137. 5:42risks. Um, you know, just last week,
  138. 5:44Demises came out with a proposal for a
  139. 5:47private public regulator. Do you think
  140. 5:50you guys should be working more actively
  141. 5:53>> to get something in place to control the
  142. 5:56risks or do you think that's impossible
  143. 5:57too? Yeah, my recommendation to Dennis
  144. 6:00because we I talked to him for a few
  145. 6:02hours before he published his his piece
  146. 6:04was that um the most immediate thing
  147. 6:07that we could do is to have the leading
  148. 6:08AI companies um at least just meet uh or
  149. 6:13have a some sort of call once every few
  150. 6:16weeks um and just
  151. 6:19uh discuss
  152. 6:22any safety and security issues.
  153. 6:23>> But why why haven't you done that yet? I
  154. 6:25mean you don't all like each other very
  155. 6:27much. Yeah. But you're not all you're
  156. 6:28not all I mean you're also all competing
  157. 6:31right? You all want to be first.
  158. 6:32>> Yes. But that's that's where I think
  159. 6:35>> um the competitors can keep it keep each
  160. 6:38other honest. So meaning meaning like if
  161. 6:41um like I think it's quite difficult for
  162. 6:43someone in the government who doesn't
  163. 6:44have a deep technical understanding and
  164. 6:46isn't driving the frontier of of AI to
  165. 6:50know whether something should be
  166. 6:51released or not. Um however the
  167. 6:54competitors I think will can you know if
  168. 6:58given sort of a week or two to review a
  169. 7:00new model um can highlight issues and uh
  170. 7:04and have an incentive to keep all all
  171. 7:06the competitors have an incentive to
  172. 7:07keep the others honest.
  173. 7:09>> So you'd have a system where the model
  174. 7:10makers would check each other's work. If
  175. 7:12there was something that worried them,
  176. 7:13you'd tell the government. Yeah. The
  177. 7:15government would then think, okay,
  178. 7:16>> if there's something that was worrisome
  179. 7:17and that company was not doing anything
  180. 7:19to address that risk, then that would be
  181. 7:22the the moment for government to step in
  182. 7:24and take action, which is literally what
  183. 7:26just what
  184. 7:28>> does all this have to happen?
  185. 7:31>> Well, I think it would be good to do
  186. 7:32that I think
  187. 7:35immediately really.
  188. 7:37>> Yeah, that's what people keep telling
  189. 7:38me. we we have to get this some kind of
  190. 7:39system in the next 6 months because of
  191. 7:42the pace at which the models are
  192. 7:43improving.
  193. 7:45>> Yeah, 6 months is a long time. Um,
  194. 7:49>> so you think shorter than that?
  195. 7:52>> Well, I mean there there's so many AI
  196. 7:55breakthrough announcements, sometimes
  197. 7:57multiple per day. I mean, how many were
  198. 8:00there last week?
  199. 8:01>> A lot.
  200. 8:01>> I lost track, you know.
  201. 8:02>> Yeah, a lot.
  202. 8:04Um,
  203. 8:06>> so, so you you basically, you know,
  204. 8:08whether it's Demis' proposal or others,
  205. 8:10you need to get together and get this
  206. 8:11set up kind of now. It sounds like
  207. 8:13you're telling me.
  208. 8:14>> Yeah. I I I would recommend that we at
  209. 8:17least have some sort of informal g um
  210. 8:21you know weekly or bi-weekly um call and
  211. 8:26and and that like I said just that that
  212. 8:28there's that that
  213. 8:30um there's maybe a week or two weeks of
  214. 8:33of early access by competitors and this
  215. 8:37is why I think the incentives work is
  216. 8:38because if if you know competing
  217. 8:40companies I think are likely to
  218. 8:43understand if something is a security
  219. 8:44risk
  220. 8:45and they're not going to be shy about
  221. 8:47highlighting that that their
  222. 8:49competitor's models should be delayed in
  223. 8:51release.
  224. 8:52>> You guys don't much like each other and
  225. 8:54you don't much trust each other. You're
  226. 8:55insulting each other on on social media
  227. 8:57constantly. So, do you do you think you
  228. 9:00can do that with people that you dislike
  229. 9:02that that where there seems to be such
  230. 9:03kind of personal vitrial between some of
  231. 9:05these leaders?
  232. 9:07>> Um, yes. Well, I'm I'm not a fan of Sam
  233. 9:11album because if you started a nonprofit
  234. 9:13that was meant to be an open-source AI
  235. 9:16company and um you know owned by the
  236. 9:21world uh and it somehow got turned into
  237. 9:23an $800 billion for-profit company with
  238. 9:26closed source. I think you'd be like
  239. 9:28well wait a second that's uh the exact
  240. 9:30opposite of what I donated the money
  241. 9:32for. That that's my issue. I think it's
  242. 9:34a legitimate one. Um, and then Daario I
  243. 9:38think also is not a fan of Sam Alman
  244. 9:40because he felt uh, in fact the reason
  245. 9:42the anthropic team left OpenAI is
  246. 9:44because they they didn't trust Sam Alman
  247. 9:46otherwise anthropic wouldn't exist. They
  248. 9:49would still be at OpenAI. Um,
  249. 9:52I I think Dario is a very principled
  250. 9:55person. He cares about things a lot. uh
  251. 9:58cares about the future of the world. And
  252. 10:00I I think everyone I've met at Anthropic
  253. 10:02so far has been I'm like no one set off
  254. 10:06my evil detector. You know, they always
  255. 10:07seem seem like they're well-intentioned.
  256. 10:10Um and uh the road to hell is I think
  257. 10:13mostly paved with bad intentions. There
  258. 10:16are a few well-intentioned paving stones
  259. 10:17in there, so we we don't want to be
  260. 10:19complacent. Um but uh you at the end of
  261. 10:23the day, if we have to talk, we'll talk.
  262. 10:24I mean, set aside our personal
  263. 10:26differences for the good of the world
  264. 10:28type of thing.

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