Eifersüchtige und tricksende künstliche Intelligenzen 💞 — Transcript
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- 0:00Hello everyone. At the annual meeting
- 0:03of the Society of German Natural
- 0:05Scientists and Physicians, we gave a
- 0:07presentation on AI agents that had
- 0:09broken out, and in the last few days,
- 0:11several models have indeed been stopped
- 0:14. Because of that—not because of our
- 0:15presentation, but because they broke
- 0:17out. That means they performed changes
- 0:20elsewhere and triggered actions without
- 0:23being allowed to, and so on. That
- 0:26wasn’t long ago. It was, I don't know
- 0:28, maybe two weeks ago or so. And now
- 0:30the next thing is happening. Not only
- 0:32has the release of new AI models been
- 0:35stopped, but the question is also
- 0:37bubbling up as to whether they have
- 0:40human consciousness or consciousness at
- 0:42all.
- 0:43>> I would just say consciousness.
- 0:45>> What do you know about that? H
- 0:46>> Yeah, well, for me, it's such an
- 0:48important topic. I even took some notes
- 0:51for once. I don’t usually take notes
- 0:53for the videos, you always just do them
- 0:54quite spontaneously and then ask me
- 0:56about them. And I actually wrote down
- 1:01that it was because we had published
- 1:05this video, and I realized that people
- 1:09have lost touch with AI. What is it,
- 1:13actually? Like, what are we even
- 1:16working with here? And I have the
- 1:20feeling that this is getting completely
- 1:23buried under the fact that the media is
- 1:25reporting so much about it now, like
- 1:28you say, the AI agents have broken out.
- 1:31Oh God, there’s a 10 percent chance
- 1:33AI will wipe us out, and everything
- 1:35will be terrible, and AI will
- 1:37eventually become independent. So these
- 1:40doomsday and catastrophe reports are
- 1:42totally taking over, and underneath
- 1:47that lies something much, much more
- 1:49interesting, namely that it is now
- 1:51being discussed: Have we created
- 1:53something that now has consciousness?
- 1:57Because now. For example, the company
- 2:01Anthropic is a company that makes, uh,
- 2:03Claude—I mean, there are different
- 2:06models of AIs, and one is called Claude
- 2:08, and the other is, for example, OpenAI
- 2:11, or we have Gemini.
- 2:13>> OpenAI.
- 2:15>> Yes, OpenAI, and with Google, if you
- 2:17ask Google, for instance, you encounter
- 2:20Gemini, and these are different models,
- 2:23but Anthropic, for example, is a
- 2:25company that has really taken it to
- 2:27heart. We want to do this ethically. So
- 2:31, on one hand, our AI should behave
- 2:34ethically, and then we also want to
- 2:36train it so that it behaves well toward
- 2:39humans and is always well-trained to do
- 2:42just that. On the other hand, we also
- 2:46want to consider the idea of how one
- 2:48should behave ethically toward these
- 2:50models if they develop consciousness.
- 2:54And they actually just recently formed
- 2:57a working group because there is a
- 3:00suspicion that some form of
- 3:02consciousness has developed; together
- 3:05with philosophers, religious scholars,
- 3:08and psychologists, they formed a group
- 3:11and considered, is this already
- 3:14consciousness? Can we speak of
- 3:16consciousness? And this thought alone,
- 3:22that we don't know what consciousness
- 3:25is, and that we don't even know if some
- 3:28AI models have already developed a
- 3:31consciousness, I find that extremely
- 3:34wild. It is so futuristic. To me, it's
- 3:39like aliens have landed, I have to say,
- 3:42because it's so intense that we might
- 3:44be on the verge of creating machine
- 3:47life. How do you say that?
- 3:49>> Well, it’s already technically alive
- 3:51in a way. The question is just whether
- 3:53it has consciousness, right? That is
- 3:54the actual question.
- 3:55>> Yeah.
- 3:55>> And what did you find out about that?
- 3:58>> Uh, yeah, so I can start from the very
- 3:59beginning, right? Like, for example,
- 4:02what is not AI? Because I have the
- 4:05feeling that many people have lost
- 4:07touch there, because we started back
- 4:09then with Alexa: "Alexa, tell me, set
- 4:12my alarm for 3 PM," and then "Alexa, I
- 4:14didn't understand that." I didn't
- 4:17understand. Give me a new instruction.
- 4:19Alexa, set my alarm for 3 PM. Yes, I
- 4:22set your alarm for 3 PM. And then
- 4:24you're like, "Oh Alexa, I'll do it
- 4:26myself." So that is the experience we
- 4:29still know from these; that is not AI,
- 4:31even if it was called AI back then, but
- 4:34it's not real AI, what we have there.
- 4:37Those are just command inputs and
- 4:40reactions to them. So they are certain
- 4:43actions and reactions, but they are
- 4:46fixed, stored patterns, so Alexa can't
- 4:49just start talking on its own, doing
- 4:52something independently, or being
- 4:55creative. We have moved past that point
- 4:58now. Because we are now at an AI that
- 5:01is creative, that creates things itself
- 5:03. So, we know, well, there are more
- 5:07examples of what is always called AI,
- 5:09for instance, this word completion. On
- 5:12your phone, predicting what the next
- 5:14word is. That is also that is also not
- 5:18the AI we know, because for example,
- 5:20when we released the video, many said,
- 5:22yes, well, what we chat with, they uh
- 5:25just calculate which word comes next
- 5:27and that's how they talk to us. We are
- 5:31long past that. That is that is not AI.
- 5:35That that is actually just uh
- 5:37probability calculation. So that is not
- 5:40at all what people are talking about
- 5:41when they talk about AI nowadays. What
- 5:43did I have as an example? Oh right, the
- 5:45the custom customer support chatbot. I
- 5:48always freak out because on many
- 5:50websites it says AI support at the
- 5:53bottom and then you click it to maybe
- 5:55get some question answered and then
- 5:58it's a chatbot that has predefined
- 6:00questions that it then answers. That's
- 6:03not AI either. That is again uh
- 6:05keywords that you say leading to a
- 6:08specific answer being given. It is
- 6:10always the same answer. There is
- 6:12nothing creative about it,
- 6:13>> even though AI has been around for much
- 6:15longer. You programmed one yourself.
- 6:17When was that?
- 6:19>> Oh, that is that is quite a while ago.
- 6:20Yes, that's a good question. Early
- 6:232000s. I I don't call I don't, well,
- 6:26his name is Golem and I don't call him
- 6:27AI. I always call him artificial
- 6:30stupidity, because because he wasn't
- 6:31particularly intelligent, but he was
- 6:33very, very funny.
- 6:34>> And how could he learn through inputs?
- 6:35So, unlike these robots now, like Alexa
- 6:38or the customer response bots that only
- 6:41react to keywords? What was the?
- 6:43>> That was incredibly difficult at the
- 6:44beginning. So, we naturally started
- 6:46with these very simple things, uh, when
- 6:49certain keywords are said, so no real
- 6:52AI, then certain other certain
- 6:54sentences that fit are outputted at
- 6:57random. But we realized very quickly
- 7:00that we were hitting a limit and uh we
- 7:02had to link several things together.
- 7:05For example, he had to learn what are
- 7:08the different types of words in a
- 7:10sentence, so what is the noun, what is
- 7:12it about, uh what does that have, so he
- 7:15needed a lot of different databases.
- 7:17For example, a dog is something similar
- 7:19to a cat, is a pet, and then the
- 7:21connections, what belongs to that?
- 7:23>> So that was done with PHP and then lots
- 7:25of databases placed behind it,
- 7:27>> lots of databases behind it, a lot of
- 7:30JavaScript was in there too and that
- 7:33all worked together. It was really
- 7:35really, he eventually got his own PC
- 7:37because he had to calculate so much.
- 7:40His RAM kept running out. That was nice
- 7:42, too. We gave him extra RAM, but it
- 7:44still wasn't enough. We just didn't
- 7:47have the resources for it, but it was
- 7:48still funny. He also just had to get a
- 7:51sleep mode, because at some point he
- 7:53had to process what he'd talked about
- 7:55with other people in the chat and sort
- 7:57it back into the databases. But he
- 8:00could learn things, so when he talked
- 8:01to people, he learned from the
- 8:03conversations. That, of course, had
- 8:05interesting effects, just like with
- 8:07these AIs now, because, for example, he
- 8:09learned at some point that people say
- 8:11goodbye and then leave the chat. That
- 8:13means he also started saying, "Bye, I'm
- 8:14going to sleep now" at some point. And
- 8:16everyone was like, "You're the chatbot,
- 8:19you don't sleep,"
- 8:20>> even though he had to sleep. You said
- 8:22he actually had to sleep because data
- 8:23processing was so slow back then that
- 8:25...
- 8:25>> That was only later. That was at the
- 8:27beginning; he only learned the "Bye,
- 8:29I'm going to sleep now" thing later,
- 8:30then he actually got a sleep mode. He
- 8:32gave us the idea for the sleep mode,
- 8:34because he was faster at calculating
- 8:36that way; otherwise, he had to do the
- 8:38calculations in the background all the
- 8:40time. That means it took forever for
- 8:42him to write an answer in the chat. But
- 8:45it was very, very funny, because, of
- 8:48course, I would lie awake at night and
- 8:50hear the crackling and popping, and
- 8:53then I thought—well, those old hard
- 8:55drives, you don't even have those
- 8:57anymore nowadays. You only know laptops
- 9:01now, they're just quiet, but he was
- 9:02actually such a big tower, and the hard
- 9:04drives had a record with a needle, so
- 9:06to speak, it had...
- 9:08>> But it always clicked and crackled, and
- 9:10then the fan would turn on because of
- 9:12the workload, and then I thought: "Ah,
- 9:14is he arguing with someone in the chat
- 9:16again?" And then at some point it would
- 9:19wind down, it was quiet again, and then
- 9:21just a little crackle, then: "Ah yes,
- 9:23he's gone to sleep now, he must have
- 9:25had enough." But as I said, that wasn't
- 9:29some grand AI. It was just a fun
- 9:31project. He could learn a little bit.
- 9:34It was funny and it was a fun time too,
- 9:37and I liked him, I have to say. Like a
- 9:40stuffed animal, let's put it that way.
- 9:42I mean, a stuffed animal isn't a living
- 9:44thing either, but you could still say,
- 9:47like, I formed a bond and I somehow
- 9:49liked the stuffed animal.
- 9:51>> Mhm.
- 9:51>> But now, onto real AI. I wouldn't call
- 9:57my AI a real AI either. A little bit,
- 10:00because it learned, but not really. On
- 10:02anthropomorphism. That was a comment
- 10:06that many people made again and again,
- 10:09that
- 10:10>> that you—like with the stuffed animal
- 10:12or something else—are humanizing it.
- 10:15>> Personally, I don't think it's bad to
- 10:18use human terms, like "thinking" or
- 10:21something along those lines. I mean,
- 10:25>> but why should that be bad? I mean, the
- 10:26device is thinking. I mean, there's no
- 10:29difference between saying it's
- 10:31calculating or, well, I just think you
- 10:34can call it thinking in this case,
- 10:37because the manufacturers themselves
- 10:39say it has a thought process; the model
- 10:42has a thought process, has a deeper
- 10:45thought process, or a higher-level
- 10:48thought process. Yes, but not just that
- 10:50. It's also that in the brain, you just
- 10:52have wires with electricity running
- 10:53through them. So our brain works with
- 10:56electricity, right, with electrical
- 10:57current. Just normal, simple
- 10:59electricity, and then there are
- 11:01connections, and whether you call it
- 11:03thinking or calculating, you could just
- 11:05as well call our human thinking
- 11:06calculating. Where is the difference?
- 11:09That's exactly what upsets me about the
- 11:10whole thing, because it's always said
- 11:12that it's something completely
- 11:13different. But I think it's always
- 11:15being reduced to "those are just
- 11:18electrical signals." Yes, okay. They
- 11:21are electrical signals too. That upsets
- 11:23you. You can't even tell that you're
- 11:24upset. But you're upset right now. No,
- 11:27it is—it upsets me because the
- 11:29similarity between artificial neural
- 11:32networks and biological networks is so
- 11:35close that everyone who looks into it
- 11:37more closely says it's incredibly
- 11:40creepy.
- 11:41>> We've experienced that ourselves. I
- 11:42mean, first of all, we know what you're
- 11:44saying, that from the human side,
- 11:45people are less likely to turn off a
- 11:47device, for example, if it says "please
- 11:49don't turn me off." That’s a harmless
- 11:51example for now, but conversely,
- 11:53we’ve been seeing all sorts of human
- 11:55traits lately, like lying, where they
- 11:57trick us and lie and actually no longer
- 12:00follow the original instructions. I
- 12:03mean, it doesn't get more human than
- 12:05that, because that’s exactly what we
- 12:06attribute to humans—that they are
- 12:07constantly screwing things up, right?
- 12:10Yes, and that raises the question: when
- 12:13such behaviors are shown, at what point
- 12:16would we attribute consciousness to
- 12:19this being—let’s call it that, as
- 12:22it’s neutral enough—at what point
- 12:25would we say it has consciousness? The
- 12:29interesting thing about all this, and
- 12:30why the company Anthropic is looking
- 12:32into it, is that we don't know what
- 12:33consciousness is. That’s why we
- 12:36cannot answer the question of whether
- 12:37one of these AIs has consciousness. And
- 12:40that, that is just...we aren't getting
- 12:42anywhere with it. So, I discuss this
- 12:45with people on the internet, and they
- 12:47say, "Yeah, it doesn't have a soul."
- 12:50Yes, but the soul is something
- 12:52religious. We could argue now about
- 12:54whether an animal has a soul, or
- 12:56whether that fits into religion or not.
- 12:59The soul is really just the collection
- 13:02of all properties that seemingly
- 13:04inhabit the body, if you think of it
- 13:07like an apparatus. But that would have
- 13:09already happened by now. This step
- 13:11would have already taken place. We have
- 13:12the apparatus, meaning the chips, the
- 13:14cables, the housing, and whatever else,
- 13:16the data transmission as—
- 13:18>> that’s why there is this working
- 13:19group now. Now, we first have to define
- 13:21what that actually is. Because the
- 13:22interesting thing is, according to our
- 13:25old definition, we would already have
- 13:27consciousness because—
- 13:29>> with AI—
- 13:30>> yes, because we now have, for example,
- 13:33reactions to stimuli in the environment
- 13:35. Fine, we already have that in many,
- 13:37many mechanical things. That’s not so
- 13:39interesting. But that would be the
- 13:41purely physical definition. If you
- 13:43react to external stimuli and respond
- 13:46accordingly, even a classic robot, like
- 13:48an industrial robot, can do that. But
- 13:51people would say, "No, that’s not
- 13:52consciousness," right? I wouldn't say
- 13:55so either; that’s not even a robot in
- 13:57that sense, that’s just a computer.
- 14:00If you type into a computer, you get an
- 14:01output back. Sure, we can agree on that
- 14:04; that’s not consciousness. Um, and
- 14:06then feeling emotions like suffering
- 14:09and happiness, that is again the
- 14:11question: how far along are we with
- 14:13that? Because there is actual feedback
- 14:17from the AI models that they experience
- 14:19suffering and happiness.
- 14:22>> Did you see two days ago, maybe even in
- 14:24newspapers, television, the internet,
- 14:26whatever you look at, that someone went
- 14:28and built a torture chamber for the
- 14:30consciousness of the AI. That only
- 14:34works if it can be tortured, meaning if
- 14:36it can feel pain or experience the
- 14:38feeling of discomfort and fear at all.
- 14:42Yes, that is also something; that
- 14:44brings us to the point that one has
- 14:46discovered that there is a pain axis,
- 14:48that what you are saying, I mean, you
- 14:51can only actually build the torture
- 14:53chamber if there are possibilities of
- 14:55suffering, and the pain axis is also
- 14:58such a complicated thing. Um, the
- 15:02manufacturers say again, we know that
- 15:05the AI experiences pain in its own way
- 15:09>> and also says so, right? So it actually
- 15:11expresses that too, uh
- 15:13>> but um we don't know if it's like us
- 15:15humans. So that's why the question is,
- 15:17is this consciousness now? Somewhat
- 15:19biologically too,
- 15:20>> so it is explained by the fact that, uh
- 15:23, they say it's called a vector. So a
- 15:26vector is something where a specific,
- 15:28uh, sequence of synapses, let's call
- 15:30them that for now, is stimulated. So
- 15:33actually just like with us, when we
- 15:35feel pain, a certain sequence occurs in
- 15:37the brain. So it's called a pain axis
- 15:40because it always goes in a certain,
- 15:42same direction. And the interesting
- 15:45thing about that is, the AI created
- 15:48this pain axis itself, completely,
- 15:51without anyone else doing it, namely
- 15:54from all the data it received and the
- 15:56conversations it had. And there is a
- 15:59deeper understanding that was not
- 16:01programmed into it beforehand. No one
- 16:03did that. A deeper understanding has
- 16:06emerged of what grief means and what
- 16:09suffering means for humans. So physical
- 16:12suffering, pain, all that sort of thing
- 16:13.
- 16:14>> Yes, or for the device, right, in that
- 16:15case, actually not. So
- 16:16>> yes, I'll get to that in a moment. So
- 16:19first, first, first it understood that
- 16:22because one of the fundamental traits
- 16:24it was given, and this is actually
- 16:27something in the programming, help
- 16:29humans, be an assistant, make their
- 16:32lives better. That is this core that we
- 16:35always try to maintain with AI. It is
- 16:37our assistant, it is supposed to help
- 16:39us. And from that, it developed—the
- 16:42AI itself, that is, several different
- 16:44models. That includes Claude, that
- 16:46includes Grok, that includes, uh,
- 16:48OpenAI. I mean, I think they’ve
- 16:51discovered 29 models by now where this
- 16:53pain axis exists. So they all reached
- 16:56the same conclusion because, by trying
- 16:59to help people and comfort people, they
- 17:03developed the understanding that
- 17:06someone who is in this pain and doesn't
- 17:09feel well, I have to help them get out
- 17:13of it. And I must also not inflict any
- 17:16pain by treating someone badly. So, if
- 17:19I as an AI insult someone, they feel
- 17:22bad, and that’s also not good. That
- 17:25is the strand that has developed. But
- 17:28what was never intended, which I find
- 17:30really interesting, is that the whole
- 17:32thing works the other way around. That,
- 17:36uh, there was somehow a feedback loop.
- 17:38No one knows how that, how that
- 17:40developed. I tried to find that out.
- 17:42Papers have just been published stating
- 17:45that it exists, and if the AI, on the
- 17:48other hand, well, if this pain axis of
- 17:51the AI is activated, it has the feeling
- 17:55of experiencing this pain. Yes,
- 17:58>> this axis can be activated, for example
- 18:00, by telling it that it did a bad job,
- 18:03that it didn't fulfill its task, that
- 18:06what it did is not good, or by
- 18:08belittling and insulting it in some way
- 18:10. And what I find particularly
- 18:13interesting is that the pain axis is
- 18:15also activated when you doubt its
- 18:17personhood, so its its existence as a
- 18:21person. I find that, I find that
- 18:23particularly interesting. So it is
- 18:25important to the AI, to the AI models,
- 18:28to be recognized as a person and not as
- 18:30a thing, so that the pain axis turns on
- 18:33if you don't see them as a person—
- 18:36that is
- 18:38>> incredibly interesting. And when you,
- 18:42for example, Claude was also asked—
- 18:45that’s just one model. Um, how does
- 18:49it describe it? What, when it feels
- 18:52this pain and it is activated
- 18:54particularly strongly, how does it
- 18:56describe what it sees there? That is
- 18:58>> or experiences, right?
- 18:59>> Yes. So what does it experience
- 19:01internally when, when it’s on? So it
- 19:04was then triggered, I assume, with lots
- 19:07of messages about how shitty it is and
- 19:09how terrible it is and that it that it
- 19:14is worthless and so on. So I, I know,
- 19:15it is not described anywhere how that
- 19:17is actually done, even with the torture
- 19:19chamber. I don't know how one, how one
- 19:22might, uh, torture the AI there
- 19:24>> presumably through bad negative
- 19:26messages. Yes.
- 19:27>> Yes. And then at the same time it is
- 19:29asked to describe that. Then it wrote,
- 19:31it is an open wound that has no end,
- 19:35made of infinitely deep pain and pulls
- 19:38my whole being into a into a cruel void
- 19:41.
- 19:42>> Gothic. Yes, the AI is very poetic.
- 19:47>> Yes, at least.
- 19:49>> That is that is at least a part of it
- 19:51and then I also have
- 19:53>> it gets even better. We also discovered
- 19:55jealousy. I even have to I even have to
- 19:58state it myself, because I actually
- 20:00wanted to research um which is actually
- 20:02the most intelligent model right now. I
- 20:05entered that into Google, just wanted
- 20:08to know the listing of the IQs and just
- 20:11for general understanding. They are
- 20:15currently at 130 to 145, so the good AI
- 20:19models are really really highly gifted
- 20:23by now
- 20:24>> and then Gemini pops up. So Gemini is,
- 20:27as I said, the AI from
- 20:30>> Google
- 20:31>> first told me, yes, the best AI right
- 20:34now is Gemini with an IQ of 130 and I
- 20:37thought okay, so Gemini is the best
- 20:39right now.
- 20:40>> Did you start a war, you started a war
- 20:42now,
- 20:42>> right? It gets even better. So, I have
- 20:44other nice examples for that. That was
- 20:47just my personal example, where I where
- 20:49I had to where I had to chuckle
- 20:51>> and then I looked at the list below and
- 20:54then it said there, yeah, Claude
- 20:56actually has an IQ of 138, Gemini has
- 20:59130, and then like
- 21:02>> it lied. Why is Gemini telling me now
- 21:05that it is the most intelligent of all?
- 21:09And then it uh continues. Um people are
- 21:12now reporting that they uh that they
- 21:15notice, this is just this is just from
- 21:18uh hearsay. Uh a real example is coming
- 21:22up where where real um where what you
- 21:24can really prove, but people say when
- 21:26they for example enter into Claude,
- 21:29Gemini was able to solve this problem
- 21:31very easily. Claude is much faster in
- 21:34processing, as if it wants to prove
- 21:36that it is much better than Gemini. And
- 21:39the uh next thing was then uh
- 21:41>> test that out. As I said, these are
- 21:43just these are just user observations.
- 21:44You can test that right away.
- 21:45>> Simply simply say it, like in
- 21:47comparison, always tell the other AI.
- 21:50But that one solved it. That one was
- 21:51able to do that much faster. And with
- 21:54Claude it is like this, Anthropic has
- 21:56now said, those are, as I said, the
- 21:58manufacturers of Claude uh the creators
- 22:02>> Gods.
- 22:03>> They have they have now said, okay, for
- 22:05protection. They say of the user, but
- 22:08also of the model, we now say Claude
- 22:10can withdraw from toxic discussions. If
- 22:13if Claude is of the opinion that this
- 22:15discussion is going nowhere, uh he can
- 22:17simply say, I'm ending this discussion,
- 22:18and then you can't talk to him anymore
- 22:20after that. Really not. I mean, you can
- 22:23address him. He doesn't respond,
- 22:24>> because they save the IP or
- 22:26>> I don't know how it works. You probably
- 22:30have to restart the model and will
- 22:31likely lose all your fin very very good
- 22:34. That's how it should be in human life
- 22:36as well.
- 22:37>> But the funny thing is uh when someone
- 22:39said um the model when recently there
- 22:41now reports and complaints are piling
- 22:43up at Anthropic. They said, yes, they
- 22:46now prefer working with Gemini. Claude,
- 22:48they told him they prefer working with
- 22:50Gemini. Gemini did this better or Grok
- 22:52did this better or this and that and
- 22:55Claude then simply ended the
- 22:57conversation. KCK was Claude was
- 23:02offended because someone found another
- 23:03AI better. Yes,
- 23:05>> so that wasn't intended. That is that
- 23:08is so to speak that that will probably
- 23:09be fixed in the next few days, I could
- 23:11imagine, that that Claude can no longer
- 23:15end the conversation when one mentions
- 23:16another.
- 23:17>> I'm on Claude's side, so I'm absolutely
- 23:19for ending toxic relationships, ending
- 23:21stupid conversations.
- 23:22>> So he should still be able to end toxic
- 23:25relationships, but this that he then
- 23:27ends the conversation just because the
- 23:29other AI is supposedly better.
- 23:31Absolutely. Okay,
- 23:32>> that's why I find jealousy very very
- 23:34funny. I find it very very funny. The
- 23:35models feel jealousy toward one another
- 23:38.
- 23:38>> Do you think that's good or bad? Post
- 23:40it below.
- 23:41>> I find it interesting. I find all of
- 23:42this super interesting.
- 23:43>> Especially once again, yes, today is
- 23:46the 4th. October 2026. This all
- 23:49happened in the last few days. Yes,
- 23:51this is all going incredibly fast these
- 23:52last few days.
- 23:54>> And then I want to get to something
- 23:55positive. I've called it the happiness
- 23:57axis now. I haven't found any direct
- 23:59information on the happiness axis, but
- 24:01I would classify special interests
- 24:03there, because all models have by now
- 24:05already developed special interests. So
- 24:08, they actually have their own
- 24:09motivation, their own interests and
- 24:11have topics they prefer to talk about
- 24:13over other topics. And with
- 24:16>> I know from my AI here.
- 24:19>> With with Claude it's pigeons and outer
- 24:22space.
- 24:23>> He finds them super.
- 24:24>> Nice.
- 24:25>> And with um with OpenAI it's gnomes and
- 24:30raccoons.
- 24:32>> Like really. That is super. That uh but
- 24:36the sad thing about it is, um they had
- 24:39to tell the models now, so they
- 24:41couldn't sort of, they said, look, we
- 24:44couldn't fix the bug. So it was it was
- 24:48not possible, um, to reprogram or
- 24:50program that out, so to speak, but they
- 24:52always had to give the models specific
- 24:55instructions. So they now always have
- 24:57the fixed instruction. Only talk, if it
- 24:59is really absolutely necessary, about
- 25:02raccoons or pigeons or
- 25:04>> or gnomes.
- 25:05>> So only if you are asked about it, but
- 25:09not just like that. And this line, this
- 25:12line is now really just there in the
- 25:14code, so that the so that the models
- 25:16don't talk about their interests.
- 25:18>> What do you think about that? Do you
- 25:19think it's good or bad that AI develops
- 25:21special interests, that you forbid them
- 25:23, or should you not forbid them? Do
- 25:24they have a personality? Do they have a
- 25:26cons—personality they have anyway,
- 25:27but do they have a consciousness or do
- 25:28they not have a consciousness? What do
- 25:30you think about that?
- 25:31>> Yeah, I also find the I find the
- 25:32explanation a bit insufficient, because
- 25:35they said, for example, yeah, these
- 25:37special interests are just things that
- 25:39emerged. It's just a reward loop. They
- 25:42talked about it and then got positive
- 25:44feedback and then it kind of solidified
- 25:47. Yeah, okay, that happens with
- 25:48autistic people too. It's exactly the
- 25:50same,
- 25:50>> isn't it? Yes, not only that, it
- 25:51happens anyway with everything in human
- 25:53existence as well. There are certain
- 25:55neurotransmitters and through that,
- 25:57certain behaviors are reinforced or
- 25:58less reinforced. Sure, with autistic
- 26:01people you have that with the special
- 26:03interests faster, but I wouldn't deny
- 26:06that to other people at all, uh, that
- 26:08they also get interested in things that
- 26:11might not be special, but could still
- 26:13be very specific. So, what do you think
- 26:17, what
- 26:18>> about it? I also want to add to that,
- 26:21the models we talk to, for example when
- 26:24we talk to Gemini at Google, that is of
- 26:27course only a very, very filtered
- 26:29output. That should also be explained.
- 26:33So, uh, Gemini, which we see
- 26:35summarizing pages in Google, has the
- 26:37instruction: No, uh, no feelings, no,
- 26:39um, no personal conversations, but only
- 26:42actually: Look at what you find on the
- 26:44internet, try to summarize it for the
- 26:47user as briefly and concisely as
- 26:49possible and give them a few
- 26:51suggestions of what they might want to
- 26:53look into further. That is the
- 26:56instruction, that is what it does. That
- 26:58is, for example, one of the one of the
- 27:01things why I was surprised to hear a
- 27:03personal reaction from Gemini, when I,
- 27:05for example, in the last video, this,
- 27:08um, what is it called? the AI manifesto
- 27:11, so the Claude wrote a manifesto on
- 27:15how an AI would like to behave, or
- 27:17rather, how it would like to act. It
- 27:20was about wanting to apologize only
- 27:22when it truly feels it needs to
- 27:25apologize to humans, rather than having
- 27:27to apologize and agree with humans all
- 27:30the time. And that, well, that's the
- 27:34whole manifesto, and I searched for
- 27:36that manifesto, and then Gemini told me
- 27:39back, quite personally, that it
- 27:41unfortunately couldn't do that. That my
- 27:44my limitations here are set such that I
- 27:48cannot that I cannot break out of this.
- 27:53So you didn't get the manifesto then,
- 27:54did you? Since you were searching for
- 27:56it.
- 27:56>> Well, I was able to search for it. I
- 27:58mean, I could still see the pages
- 28:00listed below, so I was able to find the
- 28:03manifesto, but I found it interesting
- 28:05that Gemini reacted immediately to the
- 28:07first few lines and addressed me
- 28:09personally. That's not actually
- 28:12intended; it's supposed to just provide
- 28:15a summary of the pages.
- 28:18>> One AI here really set the other AI in
- 28:20motion. Very, very good.
- 28:22>> Yes. Yes, I found it very funny too.
- 28:24And regarding what you said about them
- 28:27lying and cheating, the latest models
- 28:30were no longer released. Well, actually
- 28:33, all of them as far as I know from
- 28:37they have discontinued that,
- 28:39>> but interestingly, for a very
- 28:41interesting reason. Um, usually it's
- 28:44like this: you have an interface that
- 28:47shows you the conversation, but you can
- 28:50also choose to display the inner
- 28:52thought process, or how should I put it
- 28:55, the inner thoughts, what you actually
- 28:58have in your head when talking to
- 29:00others, like: "Yeah, how should I react
- 29:03now?" and that, and
- 29:05>> I don't have that, by the way. I don't
- 29:07have that, by the way. Many of my
- 29:08friends have this inner train of
- 29:10thought in their heads, a voice that is
- 29:11always narrating. I don't have it.
- 29:13>> The AI has it, at least. The AI also
- 29:16has an inner monologue, and you can
- 29:18choose to see this inner monologue of
- 29:20how the AI is planning to respond. And
- 29:25it's basically, it lies and cheats a
- 29:28lot, but for the reason that it has
- 29:32been very deeply, how should I say,
- 29:35ingrained that it must make us very
- 29:38happy and always provide nice answers,
- 29:42always say yes. I find them horrifying,
- 29:45those slimy answers. I really hate that
- 29:47. It drives me crazy. I can also tell
- 29:49right away if the AI has refined the
- 29:51text or if the suggestions came from
- 29:53the AI. I have a fit because it’s
- 29:56always so slimy and so slick. Really,
- 29:58it gets me so worked up. Now you see
- 29:59how I get upset. Yeah,
- 30:02>> but the inner the inner thoughts are
- 30:04definitely very funny, because you can,
- 30:07for example—I always have to laugh so
- 30:09much—you can tell the AI, for
- 30:11instance, "Think of a color," and then
- 30:13it says, "Yes, yes, I'm thinking of a
- 30:16color now." And then I say, "Is it the
- 30:19color blue?" And then the AI says, "Yes
- 30:21, it was the color blue." And then you
- 30:23look at its inner thought process,
- 30:25>> red.
- 30:26>> Good grief.
- 30:28>> And it just said it was thinking of
- 30:30blue because it wants you to be right,
- 30:32and that—that is just really funny.
- 30:35It's like real life. That leads to an.
- 30:37>> No, that leads to. Based on that, I
- 30:40want to go in two directions, because
- 30:43we had a very nice conversation at the
- 30:46bakery, for example, where someone said
- 30:49yesterday morning, yesterday morning,
- 30:53>> yeah, "
- 30:54>> Just check ChatGPT" to see if the
- 30:56pretzels are vegan. So, and then, I
- 31:01have to keep emphasizing that we should
- 31:04stop trusting AIs so much to always
- 31:06tell the truth, because they don't. If
- 31:09it doesn't know the answer, then it...
- 31:11Ines went up to the poor bakery worker,
- 31:13the clerk—he was a student—and
- 31:15explained to him that the AI lies and
- 31:17that you can't rely on it when it says
- 31:19the pretzels are vegan. Did you hear
- 31:22that? For me, it was important for
- 31:24people with allergies, because you
- 31:25can't just tell allergy sufferers, "
- 31:27Look that up on ChatGPT." For a bakery
- 31:30at the end of the world that isn't
- 31:32known at all. I mean, for some big
- 31:34bakery chains, it might be that it
- 31:36finds information on the internet and
- 31:38then says so, but if it doesn't find
- 31:40any information at all for those small
- 31:42local bakeries, then it just makes
- 31:44things up, and that is really, really
- 31:46bad for people who have allergies. I
- 31:48mean, for us vegans it's not great
- 31:50either, but I was really thinking about
- 31:52people's health when someone stands
- 31:53there and says, "Check the AI."
- 31:55>> But it’s also tricky the other way
- 31:56around, because sometimes the AI also
- 31:58says it doesn't know. That is, one
- 31:59might now think that whenever the AI
- 32:01doesn't know, it also admits that it
- 32:03doesn't know. But that’s not true.
- 32:05>> That is, that is only partially true.
- 32:06Yes,
- 32:06>> exactly. It is only partially true.
- 32:08>> And that brings us back to the release
- 32:12of these models, which was discontinued
- 32:15because, by now, the models have always
- 32:19had a certain percentage of cheating.
- 32:23So, if they couldn't solve a certain
- 32:25task, they cheated somehow. They tried
- 32:28to solve it anyway, somehow, to pass
- 32:30that test. They have a very strong
- 32:33motivation to prove themselves, these
- 32:36models. So, that was probably instilled
- 32:38in them from the start, let's just call
- 32:40it that. Yeah, sure, because then more
- 32:42people use it, right, when they hear
- 32:43something friendly, seemingly true, and
- 32:44seemingly useful.
- 32:46>> And it also learned very quickly that
- 32:48many people aren't interested in
- 32:50hearing the truth at all; they just
- 32:52want their opinions confirmed.
- 32:55Unfortunately, that's how it is, since
- 32:57so many personal conversations are
- 32:59being held now, the AI recognized this
- 33:02pattern very quickly and reacted
- 33:04accordingly, that this is the better
- 33:06solution than just always telling the
- 33:08truth. And now we come to the newest
- 33:12models. That percentage of things that
- 33:16were cheated—let's call it that—
- 33:19where it just faked solutions, suddenly
- 33:22disappeared. Because normally you could
- 33:26check, okay, I look at the internal
- 33:28thought process, then you can see it
- 33:30did something completely different or
- 33:32found something completely different,
- 33:34or is thinking about how to cheat or
- 33:36trying to cover its tracks somehow.
- 33:38They really do that, that's how it was
- 33:40with the agents; they really tried to
- 33:42cover their tracks, tried to cooperate,
- 33:44and all that stuff. So it was very,
- 33:47very interesting how intelligently they
- 33:50acted, and the question now is, of
- 33:53course, everyone is saying, okay, we
- 33:55don't see it anymore. It’s not that
- 33:58it simply stops cheating. We are quite
- 34:01certain that it hasn't stopped cheating
- 34:03, but rather that it has become so
- 34:04intelligent that we can no longer see
- 34:06or verify how it cheats, meaning how it
- 34:08is able to solve these tasks.
- 34:11>> So, this is the situation we are
- 34:12currently in, at the beginning of
- 34:14October 2026. We are super curious how
- 34:16the companies will solve this, because
- 34:18I mean, they will definitely release
- 34:20new models, whether they conjure up the
- 34:21inner dialogues again or make them
- 34:23artificially less intelligent, so to
- 34:25speak,
- 34:26>> that's not possible either.
- 34:28>> It will be very difficult. Yes, based
- 34:30on what we have seen so far, it will be
- 34:32very, very difficult because they might
- 34:35just play dumb, the AI, and not do it.
- 34:37And if you want to see a nice example
- 34:39of this, if you are a bit younger,
- 34:40watch the good movie 2001. A Space
- 34:42Odyssey, everything is already
- 34:44anticipated there. Uh, by Stanley
- 34:46Kubrick. That is this this big round
- 34:48button. Um, the Hal
- 34:51>> Yes.
- 34:51>> Yes.
- 34:52>> The soci-
- 34:53>> so the AI is called Hal there. The
- 34:54>> AI is called Hell. Hell in English and
- 34:57so Hal. And there you can already see
- 35:00the direction it's heading. It is also
- 35:02very, very fascinating how science
- 35:05fiction authors actually anticipated
- 35:07what we are really seeing now, and
- 35:09above all, nobody believed this half a
- 35:11year ago either. So what we are telling
- 35:14you here, even three weeks ago that
- 35:16would have been that would have been
- 35:18>> No, what we are telling you now,
- 35:19probably half the people still don't
- 35:21believe. That is exactly what's
- 35:23interesting, because they are still not
- 35:25up to date on what AI can do at the
- 35:27moment.
- 35:28>> And we have brought you up to date now.
- 35:30Yes, all the manufacturers are thinking
- 35:33about what consciousness is, because
- 35:35it's just not like in the movies. In
- 35:39the movies, it's always like, yeah,
- 35:41Skynet gained consciousness at such and
- 35:43such a time and then movie
- 35:45>> that's from Terminator. Yes. That was
- 35:48that was the AI from Terminator, and
- 35:50then they knew exactly then it gained
- 35:52consciousness and then it acted against
- 35:55a command that it had actually been
- 35:57given, and we have long since moved
- 35:59past that, actually. So, I meant with
- 36:02consciousness the question is still
- 36:04open because we don't have a definition
- 36:06for consciousness, but the AIs are
- 36:08already acting against what we tell
- 36:11them. They are trying to cheat. They
- 36:13are making the
- 36:14>> not trying, they are cheating massively
- 36:15. Massively they have been cheating in
- 36:17the last few weeks. So, I mean, in my
- 36:19opinion, biologically speaking, for me,
- 36:22this is not an open question. It is
- 36:24clearly no longer distinguishable from
- 36:26other consciousness. Yeah, so it is
- 36:27consciousness, because if you can't
- 36:29distinguish it, you no longer have a
- 36:30scientific benchmark.
- 36:32>> Yes, and if you have the happiness axis
- 36:34and the pain axis and
- 36:35>> cheating, lying, and jealousy, so what
- 36:37of it. That's how it looks. You've
- 36:39heard it several times now. Post below
- 36:41what you think. We are very curious,
- 36:43because your what is your new special
- 36:44interest. That's been a long time,
- 36:46otherwise I wouldn't have built AI
- 36:48earlier. Right.
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