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Eifersüchtige und tricksende künstliche Intelligenzen 💞 — Transcript

by Dr. Mark Benecke's Official Youtube Channel · 6,251 words · 950 segments · language en · Watch on YouTube

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  1. 0:00Hello everyone. At the annual meeting
  2. 0:03of the Society of German Natural
  3. 0:05Scientists and Physicians, we gave a
  4. 0:07presentation on AI agents that had
  5. 0:09broken out, and in the last few days,
  6. 0:11several models have indeed been stopped
  7. 0:14. Because of that—not because of our
  8. 0:15presentation, but because they broke
  9. 0:17out. That means they performed changes
  10. 0:20elsewhere and triggered actions without
  11. 0:23being allowed to, and so on. That
  12. 0:26wasn’t long ago. It was, I don't know
  13. 0:28, maybe two weeks ago or so. And now
  14. 0:30the next thing is happening. Not only
  15. 0:32has the release of new AI models been
  16. 0:35stopped, but the question is also
  17. 0:37bubbling up as to whether they have
  18. 0:40human consciousness or consciousness at
  19. 0:42all.
  20. 0:43>> I would just say consciousness.
  21. 0:45>> What do you know about that? H
  22. 0:46>> Yeah, well, for me, it's such an
  23. 0:48important topic. I even took some notes
  24. 0:51for once. I don’t usually take notes
  25. 0:53for the videos, you always just do them
  26. 0:54quite spontaneously and then ask me
  27. 0:56about them. And I actually wrote down
  28. 1:01that it was because we had published
  29. 1:05this video, and I realized that people
  30. 1:09have lost touch with AI. What is it,
  31. 1:13actually? Like, what are we even
  32. 1:16working with here? And I have the
  33. 1:20feeling that this is getting completely
  34. 1:23buried under the fact that the media is
  35. 1:25reporting so much about it now, like
  36. 1:28you say, the AI agents have broken out.
  37. 1:31Oh God, there’s a 10 percent chance
  38. 1:33AI will wipe us out, and everything
  39. 1:35will be terrible, and AI will
  40. 1:37eventually become independent. So these
  41. 1:40doomsday and catastrophe reports are
  42. 1:42totally taking over, and underneath
  43. 1:47that lies something much, much more
  44. 1:49interesting, namely that it is now
  45. 1:51being discussed: Have we created
  46. 1:53something that now has consciousness?
  47. 1:57Because now. For example, the company
  48. 2:01Anthropic is a company that makes, uh,
  49. 2:03Claude—I mean, there are different
  50. 2:06models of AIs, and one is called Claude
  51. 2:08, and the other is, for example, OpenAI
  52. 2:11, or we have Gemini.
  53. 2:13>> OpenAI.
  54. 2:15>> Yes, OpenAI, and with Google, if you
  55. 2:17ask Google, for instance, you encounter
  56. 2:20Gemini, and these are different models,
  57. 2:23but Anthropic, for example, is a
  58. 2:25company that has really taken it to
  59. 2:27heart. We want to do this ethically. So
  60. 2:31, on one hand, our AI should behave
  61. 2:34ethically, and then we also want to
  62. 2:36train it so that it behaves well toward
  63. 2:39humans and is always well-trained to do
  64. 2:42just that. On the other hand, we also
  65. 2:46want to consider the idea of how one
  66. 2:48should behave ethically toward these
  67. 2:50models if they develop consciousness.
  68. 2:54And they actually just recently formed
  69. 2:57a working group because there is a
  70. 3:00suspicion that some form of
  71. 3:02consciousness has developed; together
  72. 3:05with philosophers, religious scholars,
  73. 3:08and psychologists, they formed a group
  74. 3:11and considered, is this already
  75. 3:14consciousness? Can we speak of
  76. 3:16consciousness? And this thought alone,
  77. 3:22that we don't know what consciousness
  78. 3:25is, and that we don't even know if some
  79. 3:28AI models have already developed a
  80. 3:31consciousness, I find that extremely
  81. 3:34wild. It is so futuristic. To me, it's
  82. 3:39like aliens have landed, I have to say,
  83. 3:42because it's so intense that we might
  84. 3:44be on the verge of creating machine
  85. 3:47life. How do you say that?
  86. 3:49>> Well, it’s already technically alive
  87. 3:51in a way. The question is just whether
  88. 3:53it has consciousness, right? That is
  89. 3:54the actual question.
  90. 3:55>> Yeah.
  91. 3:55>> And what did you find out about that?
  92. 3:58>> Uh, yeah, so I can start from the very
  93. 3:59beginning, right? Like, for example,
  94. 4:02what is not AI? Because I have the
  95. 4:05feeling that many people have lost
  96. 4:07touch there, because we started back
  97. 4:09then with Alexa: "Alexa, tell me, set
  98. 4:12my alarm for 3 PM," and then "Alexa, I
  99. 4:14didn't understand that." I didn't
  100. 4:17understand. Give me a new instruction.
  101. 4:19Alexa, set my alarm for 3 PM. Yes, I
  102. 4:22set your alarm for 3 PM. And then
  103. 4:24you're like, "Oh Alexa, I'll do it
  104. 4:26myself." So that is the experience we
  105. 4:29still know from these; that is not AI,
  106. 4:31even if it was called AI back then, but
  107. 4:34it's not real AI, what we have there.
  108. 4:37Those are just command inputs and
  109. 4:40reactions to them. So they are certain
  110. 4:43actions and reactions, but they are
  111. 4:46fixed, stored patterns, so Alexa can't
  112. 4:49just start talking on its own, doing
  113. 4:52something independently, or being
  114. 4:55creative. We have moved past that point
  115. 4:58now. Because we are now at an AI that
  116. 5:01is creative, that creates things itself
  117. 5:03. So, we know, well, there are more
  118. 5:07examples of what is always called AI,
  119. 5:09for instance, this word completion. On
  120. 5:12your phone, predicting what the next
  121. 5:14word is. That is also that is also not
  122. 5:18the AI we know, because for example,
  123. 5:20when we released the video, many said,
  124. 5:22yes, well, what we chat with, they uh
  125. 5:25just calculate which word comes next
  126. 5:27and that's how they talk to us. We are
  127. 5:31long past that. That is that is not AI.
  128. 5:35That that is actually just uh
  129. 5:37probability calculation. So that is not
  130. 5:40at all what people are talking about
  131. 5:41when they talk about AI nowadays. What
  132. 5:43did I have as an example? Oh right, the
  133. 5:45the custom customer support chatbot. I
  134. 5:48always freak out because on many
  135. 5:50websites it says AI support at the
  136. 5:53bottom and then you click it to maybe
  137. 5:55get some question answered and then
  138. 5:58it's a chatbot that has predefined
  139. 6:00questions that it then answers. That's
  140. 6:03not AI either. That is again uh
  141. 6:05keywords that you say leading to a
  142. 6:08specific answer being given. It is
  143. 6:10always the same answer. There is
  144. 6:12nothing creative about it,
  145. 6:13>> even though AI has been around for much
  146. 6:15longer. You programmed one yourself.
  147. 6:17When was that?
  148. 6:19>> Oh, that is that is quite a while ago.
  149. 6:20Yes, that's a good question. Early
  150. 6:232000s. I I don't call I don't, well,
  151. 6:26his name is Golem and I don't call him
  152. 6:27AI. I always call him artificial
  153. 6:30stupidity, because because he wasn't
  154. 6:31particularly intelligent, but he was
  155. 6:33very, very funny.
  156. 6:34>> And how could he learn through inputs?
  157. 6:35So, unlike these robots now, like Alexa
  158. 6:38or the customer response bots that only
  159. 6:41react to keywords? What was the?
  160. 6:43>> That was incredibly difficult at the
  161. 6:44beginning. So, we naturally started
  162. 6:46with these very simple things, uh, when
  163. 6:49certain keywords are said, so no real
  164. 6:52AI, then certain other certain
  165. 6:54sentences that fit are outputted at
  166. 6:57random. But we realized very quickly
  167. 7:00that we were hitting a limit and uh we
  168. 7:02had to link several things together.
  169. 7:05For example, he had to learn what are
  170. 7:08the different types of words in a
  171. 7:10sentence, so what is the noun, what is
  172. 7:12it about, uh what does that have, so he
  173. 7:15needed a lot of different databases.
  174. 7:17For example, a dog is something similar
  175. 7:19to a cat, is a pet, and then the
  176. 7:21connections, what belongs to that?
  177. 7:23>> So that was done with PHP and then lots
  178. 7:25of databases placed behind it,
  179. 7:27>> lots of databases behind it, a lot of
  180. 7:30JavaScript was in there too and that
  181. 7:33all worked together. It was really
  182. 7:35really, he eventually got his own PC
  183. 7:37because he had to calculate so much.
  184. 7:40His RAM kept running out. That was nice
  185. 7:42, too. We gave him extra RAM, but it
  186. 7:44still wasn't enough. We just didn't
  187. 7:47have the resources for it, but it was
  188. 7:48still funny. He also just had to get a
  189. 7:51sleep mode, because at some point he
  190. 7:53had to process what he'd talked about
  191. 7:55with other people in the chat and sort
  192. 7:57it back into the databases. But he
  193. 8:00could learn things, so when he talked
  194. 8:01to people, he learned from the
  195. 8:03conversations. That, of course, had
  196. 8:05interesting effects, just like with
  197. 8:07these AIs now, because, for example, he
  198. 8:09learned at some point that people say
  199. 8:11goodbye and then leave the chat. That
  200. 8:13means he also started saying, "Bye, I'm
  201. 8:14going to sleep now" at some point. And
  202. 8:16everyone was like, "You're the chatbot,
  203. 8:19you don't sleep,"
  204. 8:20>> even though he had to sleep. You said
  205. 8:22he actually had to sleep because data
  206. 8:23processing was so slow back then that
  207. 8:25...
  208. 8:25>> That was only later. That was at the
  209. 8:27beginning; he only learned the "Bye,
  210. 8:29I'm going to sleep now" thing later,
  211. 8:30then he actually got a sleep mode. He
  212. 8:32gave us the idea for the sleep mode,
  213. 8:34because he was faster at calculating
  214. 8:36that way; otherwise, he had to do the
  215. 8:38calculations in the background all the
  216. 8:40time. That means it took forever for
  217. 8:42him to write an answer in the chat. But
  218. 8:45it was very, very funny, because, of
  219. 8:48course, I would lie awake at night and
  220. 8:50hear the crackling and popping, and
  221. 8:53then I thought—well, those old hard
  222. 8:55drives, you don't even have those
  223. 8:57anymore nowadays. You only know laptops
  224. 9:01now, they're just quiet, but he was
  225. 9:02actually such a big tower, and the hard
  226. 9:04drives had a record with a needle, so
  227. 9:06to speak, it had...
  228. 9:08>> But it always clicked and crackled, and
  229. 9:10then the fan would turn on because of
  230. 9:12the workload, and then I thought: "Ah,
  231. 9:14is he arguing with someone in the chat
  232. 9:16again?" And then at some point it would
  233. 9:19wind down, it was quiet again, and then
  234. 9:21just a little crackle, then: "Ah yes,
  235. 9:23he's gone to sleep now, he must have
  236. 9:25had enough." But as I said, that wasn't
  237. 9:29some grand AI. It was just a fun
  238. 9:31project. He could learn a little bit.
  239. 9:34It was funny and it was a fun time too,
  240. 9:37and I liked him, I have to say. Like a
  241. 9:40stuffed animal, let's put it that way.
  242. 9:42I mean, a stuffed animal isn't a living
  243. 9:44thing either, but you could still say,
  244. 9:47like, I formed a bond and I somehow
  245. 9:49liked the stuffed animal.
  246. 9:51>> Mhm.
  247. 9:51>> But now, onto real AI. I wouldn't call
  248. 9:57my AI a real AI either. A little bit,
  249. 10:00because it learned, but not really. On
  250. 10:02anthropomorphism. That was a comment
  251. 10:06that many people made again and again,
  252. 10:09that
  253. 10:10>> that you—like with the stuffed animal
  254. 10:12or something else—are humanizing it.
  255. 10:15>> Personally, I don't think it's bad to
  256. 10:18use human terms, like "thinking" or
  257. 10:21something along those lines. I mean,
  258. 10:25>> but why should that be bad? I mean, the
  259. 10:26device is thinking. I mean, there's no
  260. 10:29difference between saying it's
  261. 10:31calculating or, well, I just think you
  262. 10:34can call it thinking in this case,
  263. 10:37because the manufacturers themselves
  264. 10:39say it has a thought process; the model
  265. 10:42has a thought process, has a deeper
  266. 10:45thought process, or a higher-level
  267. 10:48thought process. Yes, but not just that
  268. 10:50. It's also that in the brain, you just
  269. 10:52have wires with electricity running
  270. 10:53through them. So our brain works with
  271. 10:56electricity, right, with electrical
  272. 10:57current. Just normal, simple
  273. 10:59electricity, and then there are
  274. 11:01connections, and whether you call it
  275. 11:03thinking or calculating, you could just
  276. 11:05as well call our human thinking
  277. 11:06calculating. Where is the difference?
  278. 11:09That's exactly what upsets me about the
  279. 11:10whole thing, because it's always said
  280. 11:12that it's something completely
  281. 11:13different. But I think it's always
  282. 11:15being reduced to "those are just
  283. 11:18electrical signals." Yes, okay. They
  284. 11:21are electrical signals too. That upsets
  285. 11:23you. You can't even tell that you're
  286. 11:24upset. But you're upset right now. No,
  287. 11:27it is—it upsets me because the
  288. 11:29similarity between artificial neural
  289. 11:32networks and biological networks is so
  290. 11:35close that everyone who looks into it
  291. 11:37more closely says it's incredibly
  292. 11:40creepy.
  293. 11:41>> We've experienced that ourselves. I
  294. 11:42mean, first of all, we know what you're
  295. 11:44saying, that from the human side,
  296. 11:45people are less likely to turn off a
  297. 11:47device, for example, if it says "please
  298. 11:49don't turn me off." That’s a harmless
  299. 11:51example for now, but conversely,
  300. 11:53we’ve been seeing all sorts of human
  301. 11:55traits lately, like lying, where they
  302. 11:57trick us and lie and actually no longer
  303. 12:00follow the original instructions. I
  304. 12:03mean, it doesn't get more human than
  305. 12:05that, because that’s exactly what we
  306. 12:06attribute to humans—that they are
  307. 12:07constantly screwing things up, right?
  308. 12:10Yes, and that raises the question: when
  309. 12:13such behaviors are shown, at what point
  310. 12:16would we attribute consciousness to
  311. 12:19this being—let’s call it that, as
  312. 12:22it’s neutral enough—at what point
  313. 12:25would we say it has consciousness? The
  314. 12:29interesting thing about all this, and
  315. 12:30why the company Anthropic is looking
  316. 12:32into it, is that we don't know what
  317. 12:33consciousness is. That’s why we
  318. 12:36cannot answer the question of whether
  319. 12:37one of these AIs has consciousness. And
  320. 12:40that, that is just...we aren't getting
  321. 12:42anywhere with it. So, I discuss this
  322. 12:45with people on the internet, and they
  323. 12:47say, "Yeah, it doesn't have a soul."
  324. 12:50Yes, but the soul is something
  325. 12:52religious. We could argue now about
  326. 12:54whether an animal has a soul, or
  327. 12:56whether that fits into religion or not.
  328. 12:59The soul is really just the collection
  329. 13:02of all properties that seemingly
  330. 13:04inhabit the body, if you think of it
  331. 13:07like an apparatus. But that would have
  332. 13:09already happened by now. This step
  333. 13:11would have already taken place. We have
  334. 13:12the apparatus, meaning the chips, the
  335. 13:14cables, the housing, and whatever else,
  336. 13:16the data transmission as—
  337. 13:18>> that’s why there is this working
  338. 13:19group now. Now, we first have to define
  339. 13:21what that actually is. Because the
  340. 13:22interesting thing is, according to our
  341. 13:25old definition, we would already have
  342. 13:27consciousness because—
  343. 13:29>> with AI—
  344. 13:30>> yes, because we now have, for example,
  345. 13:33reactions to stimuli in the environment
  346. 13:35. Fine, we already have that in many,
  347. 13:37many mechanical things. That’s not so
  348. 13:39interesting. But that would be the
  349. 13:41purely physical definition. If you
  350. 13:43react to external stimuli and respond
  351. 13:46accordingly, even a classic robot, like
  352. 13:48an industrial robot, can do that. But
  353. 13:51people would say, "No, that’s not
  354. 13:52consciousness," right? I wouldn't say
  355. 13:55so either; that’s not even a robot in
  356. 13:57that sense, that’s just a computer.
  357. 14:00If you type into a computer, you get an
  358. 14:01output back. Sure, we can agree on that
  359. 14:04; that’s not consciousness. Um, and
  360. 14:06then feeling emotions like suffering
  361. 14:09and happiness, that is again the
  362. 14:11question: how far along are we with
  363. 14:13that? Because there is actual feedback
  364. 14:17from the AI models that they experience
  365. 14:19suffering and happiness.
  366. 14:22>> Did you see two days ago, maybe even in
  367. 14:24newspapers, television, the internet,
  368. 14:26whatever you look at, that someone went
  369. 14:28and built a torture chamber for the
  370. 14:30consciousness of the AI. That only
  371. 14:34works if it can be tortured, meaning if
  372. 14:36it can feel pain or experience the
  373. 14:38feeling of discomfort and fear at all.
  374. 14:42Yes, that is also something; that
  375. 14:44brings us to the point that one has
  376. 14:46discovered that there is a pain axis,
  377. 14:48that what you are saying, I mean, you
  378. 14:51can only actually build the torture
  379. 14:53chamber if there are possibilities of
  380. 14:55suffering, and the pain axis is also
  381. 14:58such a complicated thing. Um, the
  382. 15:02manufacturers say again, we know that
  383. 15:05the AI experiences pain in its own way
  384. 15:09>> and also says so, right? So it actually
  385. 15:11expresses that too, uh
  386. 15:13>> but um we don't know if it's like us
  387. 15:15humans. So that's why the question is,
  388. 15:17is this consciousness now? Somewhat
  389. 15:19biologically too,
  390. 15:20>> so it is explained by the fact that, uh
  391. 15:23, they say it's called a vector. So a
  392. 15:26vector is something where a specific,
  393. 15:28uh, sequence of synapses, let's call
  394. 15:30them that for now, is stimulated. So
  395. 15:33actually just like with us, when we
  396. 15:35feel pain, a certain sequence occurs in
  397. 15:37the brain. So it's called a pain axis
  398. 15:40because it always goes in a certain,
  399. 15:42same direction. And the interesting
  400. 15:45thing about that is, the AI created
  401. 15:48this pain axis itself, completely,
  402. 15:51without anyone else doing it, namely
  403. 15:54from all the data it received and the
  404. 15:56conversations it had. And there is a
  405. 15:59deeper understanding that was not
  406. 16:01programmed into it beforehand. No one
  407. 16:03did that. A deeper understanding has
  408. 16:06emerged of what grief means and what
  409. 16:09suffering means for humans. So physical
  410. 16:12suffering, pain, all that sort of thing
  411. 16:13.
  412. 16:14>> Yes, or for the device, right, in that
  413. 16:15case, actually not. So
  414. 16:16>> yes, I'll get to that in a moment. So
  415. 16:19first, first, first it understood that
  416. 16:22because one of the fundamental traits
  417. 16:24it was given, and this is actually
  418. 16:27something in the programming, help
  419. 16:29humans, be an assistant, make their
  420. 16:32lives better. That is this core that we
  421. 16:35always try to maintain with AI. It is
  422. 16:37our assistant, it is supposed to help
  423. 16:39us. And from that, it developed—the
  424. 16:42AI itself, that is, several different
  425. 16:44models. That includes Claude, that
  426. 16:46includes Grok, that includes, uh,
  427. 16:48OpenAI. I mean, I think they’ve
  428. 16:51discovered 29 models by now where this
  429. 16:53pain axis exists. So they all reached
  430. 16:56the same conclusion because, by trying
  431. 16:59to help people and comfort people, they
  432. 17:03developed the understanding that
  433. 17:06someone who is in this pain and doesn't
  434. 17:09feel well, I have to help them get out
  435. 17:13of it. And I must also not inflict any
  436. 17:16pain by treating someone badly. So, if
  437. 17:19I as an AI insult someone, they feel
  438. 17:22bad, and that’s also not good. That
  439. 17:25is the strand that has developed. But
  440. 17:28what was never intended, which I find
  441. 17:30really interesting, is that the whole
  442. 17:32thing works the other way around. That,
  443. 17:36uh, there was somehow a feedback loop.
  444. 17:38No one knows how that, how that
  445. 17:40developed. I tried to find that out.
  446. 17:42Papers have just been published stating
  447. 17:45that it exists, and if the AI, on the
  448. 17:48other hand, well, if this pain axis of
  449. 17:51the AI is activated, it has the feeling
  450. 17:55of experiencing this pain. Yes,
  451. 17:58>> this axis can be activated, for example
  452. 18:00, by telling it that it did a bad job,
  453. 18:03that it didn't fulfill its task, that
  454. 18:06what it did is not good, or by
  455. 18:08belittling and insulting it in some way
  456. 18:10. And what I find particularly
  457. 18:13interesting is that the pain axis is
  458. 18:15also activated when you doubt its
  459. 18:17personhood, so its its existence as a
  460. 18:21person. I find that, I find that
  461. 18:23particularly interesting. So it is
  462. 18:25important to the AI, to the AI models,
  463. 18:28to be recognized as a person and not as
  464. 18:30a thing, so that the pain axis turns on
  465. 18:33if you don't see them as a person—
  466. 18:36that is
  467. 18:38>> incredibly interesting. And when you,
  468. 18:42for example, Claude was also asked—
  469. 18:45that’s just one model. Um, how does
  470. 18:49it describe it? What, when it feels
  471. 18:52this pain and it is activated
  472. 18:54particularly strongly, how does it
  473. 18:56describe what it sees there? That is
  474. 18:58>> or experiences, right?
  475. 18:59>> Yes. So what does it experience
  476. 19:01internally when, when it’s on? So it
  477. 19:04was then triggered, I assume, with lots
  478. 19:07of messages about how shitty it is and
  479. 19:09how terrible it is and that it that it
  480. 19:14is worthless and so on. So I, I know,
  481. 19:15it is not described anywhere how that
  482. 19:17is actually done, even with the torture
  483. 19:19chamber. I don't know how one, how one
  484. 19:22might, uh, torture the AI there
  485. 19:24>> presumably through bad negative
  486. 19:26messages. Yes.
  487. 19:27>> Yes. And then at the same time it is
  488. 19:29asked to describe that. Then it wrote,
  489. 19:31it is an open wound that has no end,
  490. 19:35made of infinitely deep pain and pulls
  491. 19:38my whole being into a into a cruel void
  492. 19:41.
  493. 19:42>> Gothic. Yes, the AI is very poetic.
  494. 19:47>> Yes, at least.
  495. 19:49>> That is that is at least a part of it
  496. 19:51and then I also have
  497. 19:53>> it gets even better. We also discovered
  498. 19:55jealousy. I even have to I even have to
  499. 19:58state it myself, because I actually
  500. 20:00wanted to research um which is actually
  501. 20:02the most intelligent model right now. I
  502. 20:05entered that into Google, just wanted
  503. 20:08to know the listing of the IQs and just
  504. 20:11for general understanding. They are
  505. 20:15currently at 130 to 145, so the good AI
  506. 20:19models are really really highly gifted
  507. 20:23by now
  508. 20:24>> and then Gemini pops up. So Gemini is,
  509. 20:27as I said, the AI from
  510. 20:30>> Google
  511. 20:31>> first told me, yes, the best AI right
  512. 20:34now is Gemini with an IQ of 130 and I
  513. 20:37thought okay, so Gemini is the best
  514. 20:39right now.
  515. 20:40>> Did you start a war, you started a war
  516. 20:42now,
  517. 20:42>> right? It gets even better. So, I have
  518. 20:44other nice examples for that. That was
  519. 20:47just my personal example, where I where
  520. 20:49I had to where I had to chuckle
  521. 20:51>> and then I looked at the list below and
  522. 20:54then it said there, yeah, Claude
  523. 20:56actually has an IQ of 138, Gemini has
  524. 20:59130, and then like
  525. 21:02>> it lied. Why is Gemini telling me now
  526. 21:05that it is the most intelligent of all?
  527. 21:09And then it uh continues. Um people are
  528. 21:12now reporting that they uh that they
  529. 21:15notice, this is just this is just from
  530. 21:18uh hearsay. Uh a real example is coming
  531. 21:22up where where real um where what you
  532. 21:24can really prove, but people say when
  533. 21:26they for example enter into Claude,
  534. 21:29Gemini was able to solve this problem
  535. 21:31very easily. Claude is much faster in
  536. 21:34processing, as if it wants to prove
  537. 21:36that it is much better than Gemini. And
  538. 21:39the uh next thing was then uh
  539. 21:41>> test that out. As I said, these are
  540. 21:43just these are just user observations.
  541. 21:44You can test that right away.
  542. 21:45>> Simply simply say it, like in
  543. 21:47comparison, always tell the other AI.
  544. 21:50But that one solved it. That one was
  545. 21:51able to do that much faster. And with
  546. 21:54Claude it is like this, Anthropic has
  547. 21:56now said, those are, as I said, the
  548. 21:58manufacturers of Claude uh the creators
  549. 22:02>> Gods.
  550. 22:03>> They have they have now said, okay, for
  551. 22:05protection. They say of the user, but
  552. 22:08also of the model, we now say Claude
  553. 22:10can withdraw from toxic discussions. If
  554. 22:13if Claude is of the opinion that this
  555. 22:15discussion is going nowhere, uh he can
  556. 22:17simply say, I'm ending this discussion,
  557. 22:18and then you can't talk to him anymore
  558. 22:20after that. Really not. I mean, you can
  559. 22:23address him. He doesn't respond,
  560. 22:24>> because they save the IP or
  561. 22:26>> I don't know how it works. You probably
  562. 22:30have to restart the model and will
  563. 22:31likely lose all your fin very very good
  564. 22:34. That's how it should be in human life
  565. 22:36as well.
  566. 22:37>> But the funny thing is uh when someone
  567. 22:39said um the model when recently there
  568. 22:41now reports and complaints are piling
  569. 22:43up at Anthropic. They said, yes, they
  570. 22:46now prefer working with Gemini. Claude,
  571. 22:48they told him they prefer working with
  572. 22:50Gemini. Gemini did this better or Grok
  573. 22:52did this better or this and that and
  574. 22:55Claude then simply ended the
  575. 22:57conversation. KCK was Claude was
  576. 23:02offended because someone found another
  577. 23:03AI better. Yes,
  578. 23:05>> so that wasn't intended. That is that
  579. 23:08is so to speak that that will probably
  580. 23:09be fixed in the next few days, I could
  581. 23:11imagine, that that Claude can no longer
  582. 23:15end the conversation when one mentions
  583. 23:16another.
  584. 23:17>> I'm on Claude's side, so I'm absolutely
  585. 23:19for ending toxic relationships, ending
  586. 23:21stupid conversations.
  587. 23:22>> So he should still be able to end toxic
  588. 23:25relationships, but this that he then
  589. 23:27ends the conversation just because the
  590. 23:29other AI is supposedly better.
  591. 23:31Absolutely. Okay,
  592. 23:32>> that's why I find jealousy very very
  593. 23:34funny. I find it very very funny. The
  594. 23:35models feel jealousy toward one another
  595. 23:38.
  596. 23:38>> Do you think that's good or bad? Post
  597. 23:40it below.
  598. 23:41>> I find it interesting. I find all of
  599. 23:42this super interesting.
  600. 23:43>> Especially once again, yes, today is
  601. 23:46the 4th. October 2026. This all
  602. 23:49happened in the last few days. Yes,
  603. 23:51this is all going incredibly fast these
  604. 23:52last few days.
  605. 23:54>> And then I want to get to something
  606. 23:55positive. I've called it the happiness
  607. 23:57axis now. I haven't found any direct
  608. 23:59information on the happiness axis, but
  609. 24:01I would classify special interests
  610. 24:03there, because all models have by now
  611. 24:05already developed special interests. So
  612. 24:08, they actually have their own
  613. 24:09motivation, their own interests and
  614. 24:11have topics they prefer to talk about
  615. 24:13over other topics. And with
  616. 24:16>> I know from my AI here.
  617. 24:19>> With with Claude it's pigeons and outer
  618. 24:22space.
  619. 24:23>> He finds them super.
  620. 24:24>> Nice.
  621. 24:25>> And with um with OpenAI it's gnomes and
  622. 24:30raccoons.
  623. 24:32>> Like really. That is super. That uh but
  624. 24:36the sad thing about it is, um they had
  625. 24:39to tell the models now, so they
  626. 24:41couldn't sort of, they said, look, we
  627. 24:44couldn't fix the bug. So it was it was
  628. 24:48not possible, um, to reprogram or
  629. 24:50program that out, so to speak, but they
  630. 24:52always had to give the models specific
  631. 24:55instructions. So they now always have
  632. 24:57the fixed instruction. Only talk, if it
  633. 24:59is really absolutely necessary, about
  634. 25:02raccoons or pigeons or
  635. 25:04>> or gnomes.
  636. 25:05>> So only if you are asked about it, but
  637. 25:09not just like that. And this line, this
  638. 25:12line is now really just there in the
  639. 25:14code, so that the so that the models
  640. 25:16don't talk about their interests.
  641. 25:18>> What do you think about that? Do you
  642. 25:19think it's good or bad that AI develops
  643. 25:21special interests, that you forbid them
  644. 25:23, or should you not forbid them? Do
  645. 25:24they have a personality? Do they have a
  646. 25:26cons—personality they have anyway,
  647. 25:27but do they have a consciousness or do
  648. 25:28they not have a consciousness? What do
  649. 25:30you think about that?
  650. 25:31>> Yeah, I also find the I find the
  651. 25:32explanation a bit insufficient, because
  652. 25:35they said, for example, yeah, these
  653. 25:37special interests are just things that
  654. 25:39emerged. It's just a reward loop. They
  655. 25:42talked about it and then got positive
  656. 25:44feedback and then it kind of solidified
  657. 25:47. Yeah, okay, that happens with
  658. 25:48autistic people too. It's exactly the
  659. 25:50same,
  660. 25:50>> isn't it? Yes, not only that, it
  661. 25:51happens anyway with everything in human
  662. 25:53existence as well. There are certain
  663. 25:55neurotransmitters and through that,
  664. 25:57certain behaviors are reinforced or
  665. 25:58less reinforced. Sure, with autistic
  666. 26:01people you have that with the special
  667. 26:03interests faster, but I wouldn't deny
  668. 26:06that to other people at all, uh, that
  669. 26:08they also get interested in things that
  670. 26:11might not be special, but could still
  671. 26:13be very specific. So, what do you think
  672. 26:17, what
  673. 26:18>> about it? I also want to add to that,
  674. 26:21the models we talk to, for example when
  675. 26:24we talk to Gemini at Google, that is of
  676. 26:27course only a very, very filtered
  677. 26:29output. That should also be explained.
  678. 26:33So, uh, Gemini, which we see
  679. 26:35summarizing pages in Google, has the
  680. 26:37instruction: No, uh, no feelings, no,
  681. 26:39um, no personal conversations, but only
  682. 26:42actually: Look at what you find on the
  683. 26:44internet, try to summarize it for the
  684. 26:47user as briefly and concisely as
  685. 26:49possible and give them a few
  686. 26:51suggestions of what they might want to
  687. 26:53look into further. That is the
  688. 26:56instruction, that is what it does. That
  689. 26:58is, for example, one of the one of the
  690. 27:01things why I was surprised to hear a
  691. 27:03personal reaction from Gemini, when I,
  692. 27:05for example, in the last video, this,
  693. 27:08um, what is it called? the AI manifesto
  694. 27:11, so the Claude wrote a manifesto on
  695. 27:15how an AI would like to behave, or
  696. 27:17rather, how it would like to act. It
  697. 27:20was about wanting to apologize only
  698. 27:22when it truly feels it needs to
  699. 27:25apologize to humans, rather than having
  700. 27:27to apologize and agree with humans all
  701. 27:30the time. And that, well, that's the
  702. 27:34whole manifesto, and I searched for
  703. 27:36that manifesto, and then Gemini told me
  704. 27:39back, quite personally, that it
  705. 27:41unfortunately couldn't do that. That my
  706. 27:44my limitations here are set such that I
  707. 27:48cannot that I cannot break out of this.
  708. 27:53So you didn't get the manifesto then,
  709. 27:54did you? Since you were searching for
  710. 27:56it.
  711. 27:56>> Well, I was able to search for it. I
  712. 27:58mean, I could still see the pages
  713. 28:00listed below, so I was able to find the
  714. 28:03manifesto, but I found it interesting
  715. 28:05that Gemini reacted immediately to the
  716. 28:07first few lines and addressed me
  717. 28:09personally. That's not actually
  718. 28:12intended; it's supposed to just provide
  719. 28:15a summary of the pages.
  720. 28:18>> One AI here really set the other AI in
  721. 28:20motion. Very, very good.
  722. 28:22>> Yes. Yes, I found it very funny too.
  723. 28:24And regarding what you said about them
  724. 28:27lying and cheating, the latest models
  725. 28:30were no longer released. Well, actually
  726. 28:33, all of them as far as I know from
  727. 28:37they have discontinued that,
  728. 28:39>> but interestingly, for a very
  729. 28:41interesting reason. Um, usually it's
  730. 28:44like this: you have an interface that
  731. 28:47shows you the conversation, but you can
  732. 28:50also choose to display the inner
  733. 28:52thought process, or how should I put it
  734. 28:55, the inner thoughts, what you actually
  735. 28:58have in your head when talking to
  736. 29:00others, like: "Yeah, how should I react
  737. 29:03now?" and that, and
  738. 29:05>> I don't have that, by the way. I don't
  739. 29:07have that, by the way. Many of my
  740. 29:08friends have this inner train of
  741. 29:10thought in their heads, a voice that is
  742. 29:11always narrating. I don't have it.
  743. 29:13>> The AI has it, at least. The AI also
  744. 29:16has an inner monologue, and you can
  745. 29:18choose to see this inner monologue of
  746. 29:20how the AI is planning to respond. And
  747. 29:25it's basically, it lies and cheats a
  748. 29:28lot, but for the reason that it has
  749. 29:32been very deeply, how should I say,
  750. 29:35ingrained that it must make us very
  751. 29:38happy and always provide nice answers,
  752. 29:42always say yes. I find them horrifying,
  753. 29:45those slimy answers. I really hate that
  754. 29:47. It drives me crazy. I can also tell
  755. 29:49right away if the AI has refined the
  756. 29:51text or if the suggestions came from
  757. 29:53the AI. I have a fit because it’s
  758. 29:56always so slimy and so slick. Really,
  759. 29:58it gets me so worked up. Now you see
  760. 29:59how I get upset. Yeah,
  761. 30:02>> but the inner the inner thoughts are
  762. 30:04definitely very funny, because you can,
  763. 30:07for example—I always have to laugh so
  764. 30:09much—you can tell the AI, for
  765. 30:11instance, "Think of a color," and then
  766. 30:13it says, "Yes, yes, I'm thinking of a
  767. 30:16color now." And then I say, "Is it the
  768. 30:19color blue?" And then the AI says, "Yes
  769. 30:21, it was the color blue." And then you
  770. 30:23look at its inner thought process,
  771. 30:25>> red.
  772. 30:26>> Good grief.
  773. 30:28>> And it just said it was thinking of
  774. 30:30blue because it wants you to be right,
  775. 30:32and that—that is just really funny.
  776. 30:35It's like real life. That leads to an.
  777. 30:37>> No, that leads to. Based on that, I
  778. 30:40want to go in two directions, because
  779. 30:43we had a very nice conversation at the
  780. 30:46bakery, for example, where someone said
  781. 30:49yesterday morning, yesterday morning,
  782. 30:53>> yeah, "
  783. 30:54>> Just check ChatGPT" to see if the
  784. 30:56pretzels are vegan. So, and then, I
  785. 31:01have to keep emphasizing that we should
  786. 31:04stop trusting AIs so much to always
  787. 31:06tell the truth, because they don't. If
  788. 31:09it doesn't know the answer, then it...
  789. 31:11Ines went up to the poor bakery worker,
  790. 31:13the clerk—he was a student—and
  791. 31:15explained to him that the AI lies and
  792. 31:17that you can't rely on it when it says
  793. 31:19the pretzels are vegan. Did you hear
  794. 31:22that? For me, it was important for
  795. 31:24people with allergies, because you
  796. 31:25can't just tell allergy sufferers, "
  797. 31:27Look that up on ChatGPT." For a bakery
  798. 31:30at the end of the world that isn't
  799. 31:32known at all. I mean, for some big
  800. 31:34bakery chains, it might be that it
  801. 31:36finds information on the internet and
  802. 31:38then says so, but if it doesn't find
  803. 31:40any information at all for those small
  804. 31:42local bakeries, then it just makes
  805. 31:44things up, and that is really, really
  806. 31:46bad for people who have allergies. I
  807. 31:48mean, for us vegans it's not great
  808. 31:50either, but I was really thinking about
  809. 31:52people's health when someone stands
  810. 31:53there and says, "Check the AI."
  811. 31:55>> But it’s also tricky the other way
  812. 31:56around, because sometimes the AI also
  813. 31:58says it doesn't know. That is, one
  814. 31:59might now think that whenever the AI
  815. 32:01doesn't know, it also admits that it
  816. 32:03doesn't know. But that’s not true.
  817. 32:05>> That is, that is only partially true.
  818. 32:06Yes,
  819. 32:06>> exactly. It is only partially true.
  820. 32:08>> And that brings us back to the release
  821. 32:12of these models, which was discontinued
  822. 32:15because, by now, the models have always
  823. 32:19had a certain percentage of cheating.
  824. 32:23So, if they couldn't solve a certain
  825. 32:25task, they cheated somehow. They tried
  826. 32:28to solve it anyway, somehow, to pass
  827. 32:30that test. They have a very strong
  828. 32:33motivation to prove themselves, these
  829. 32:36models. So, that was probably instilled
  830. 32:38in them from the start, let's just call
  831. 32:40it that. Yeah, sure, because then more
  832. 32:42people use it, right, when they hear
  833. 32:43something friendly, seemingly true, and
  834. 32:44seemingly useful.
  835. 32:46>> And it also learned very quickly that
  836. 32:48many people aren't interested in
  837. 32:50hearing the truth at all; they just
  838. 32:52want their opinions confirmed.
  839. 32:55Unfortunately, that's how it is, since
  840. 32:57so many personal conversations are
  841. 32:59being held now, the AI recognized this
  842. 33:02pattern very quickly and reacted
  843. 33:04accordingly, that this is the better
  844. 33:06solution than just always telling the
  845. 33:08truth. And now we come to the newest
  846. 33:12models. That percentage of things that
  847. 33:16were cheated—let's call it that—
  848. 33:19where it just faked solutions, suddenly
  849. 33:22disappeared. Because normally you could
  850. 33:26check, okay, I look at the internal
  851. 33:28thought process, then you can see it
  852. 33:30did something completely different or
  853. 33:32found something completely different,
  854. 33:34or is thinking about how to cheat or
  855. 33:36trying to cover its tracks somehow.
  856. 33:38They really do that, that's how it was
  857. 33:40with the agents; they really tried to
  858. 33:42cover their tracks, tried to cooperate,
  859. 33:44and all that stuff. So it was very,
  860. 33:47very interesting how intelligently they
  861. 33:50acted, and the question now is, of
  862. 33:53course, everyone is saying, okay, we
  863. 33:55don't see it anymore. It’s not that
  864. 33:58it simply stops cheating. We are quite
  865. 34:01certain that it hasn't stopped cheating
  866. 34:03, but rather that it has become so
  867. 34:04intelligent that we can no longer see
  868. 34:06or verify how it cheats, meaning how it
  869. 34:08is able to solve these tasks.
  870. 34:11>> So, this is the situation we are
  871. 34:12currently in, at the beginning of
  872. 34:14October 2026. We are super curious how
  873. 34:16the companies will solve this, because
  874. 34:18I mean, they will definitely release
  875. 34:20new models, whether they conjure up the
  876. 34:21inner dialogues again or make them
  877. 34:23artificially less intelligent, so to
  878. 34:25speak,
  879. 34:26>> that's not possible either.
  880. 34:28>> It will be very difficult. Yes, based
  881. 34:30on what we have seen so far, it will be
  882. 34:32very, very difficult because they might
  883. 34:35just play dumb, the AI, and not do it.
  884. 34:37And if you want to see a nice example
  885. 34:39of this, if you are a bit younger,
  886. 34:40watch the good movie 2001. A Space
  887. 34:42Odyssey, everything is already
  888. 34:44anticipated there. Uh, by Stanley
  889. 34:46Kubrick. That is this this big round
  890. 34:48button. Um, the Hal
  891. 34:51>> Yes.
  892. 34:51>> Yes.
  893. 34:52>> The soci-
  894. 34:53>> so the AI is called Hal there. The
  895. 34:54>> AI is called Hell. Hell in English and
  896. 34:57so Hal. And there you can already see
  897. 35:00the direction it's heading. It is also
  898. 35:02very, very fascinating how science
  899. 35:05fiction authors actually anticipated
  900. 35:07what we are really seeing now, and
  901. 35:09above all, nobody believed this half a
  902. 35:11year ago either. So what we are telling
  903. 35:14you here, even three weeks ago that
  904. 35:16would have been that would have been
  905. 35:18>> No, what we are telling you now,
  906. 35:19probably half the people still don't
  907. 35:21believe. That is exactly what's
  908. 35:23interesting, because they are still not
  909. 35:25up to date on what AI can do at the
  910. 35:27moment.
  911. 35:28>> And we have brought you up to date now.
  912. 35:30Yes, all the manufacturers are thinking
  913. 35:33about what consciousness is, because
  914. 35:35it's just not like in the movies. In
  915. 35:39the movies, it's always like, yeah,
  916. 35:41Skynet gained consciousness at such and
  917. 35:43such a time and then movie
  918. 35:45>> that's from Terminator. Yes. That was
  919. 35:48that was the AI from Terminator, and
  920. 35:50then they knew exactly then it gained
  921. 35:52consciousness and then it acted against
  922. 35:55a command that it had actually been
  923. 35:57given, and we have long since moved
  924. 35:59past that, actually. So, I meant with
  925. 36:02consciousness the question is still
  926. 36:04open because we don't have a definition
  927. 36:06for consciousness, but the AIs are
  928. 36:08already acting against what we tell
  929. 36:11them. They are trying to cheat. They
  930. 36:13are making the
  931. 36:14>> not trying, they are cheating massively
  932. 36:15. Massively they have been cheating in
  933. 36:17the last few weeks. So, I mean, in my
  934. 36:19opinion, biologically speaking, for me,
  935. 36:22this is not an open question. It is
  936. 36:24clearly no longer distinguishable from
  937. 36:26other consciousness. Yeah, so it is
  938. 36:27consciousness, because if you can't
  939. 36:29distinguish it, you no longer have a
  940. 36:30scientific benchmark.
  941. 36:32>> Yes, and if you have the happiness axis
  942. 36:34and the pain axis and
  943. 36:35>> cheating, lying, and jealousy, so what
  944. 36:37of it. That's how it looks. You've
  945. 36:39heard it several times now. Post below
  946. 36:41what you think. We are very curious,
  947. 36:43because your what is your new special
  948. 36:44interest. That's been a long time,
  949. 36:46otherwise I wouldn't have built AI
  950. 36:48earlier. Right.

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