Runaway AI

I was thinking about the possibility of a general AI breakout from the lab, and initially, the prospect looks frightening. In essence, the most advanced AI models are being developed for intelligence and military use; spy on people, identify patterns of their activity and basically figure out what they are doing and try to find things that the AI creators are looking for; or, worse, identify targets on a battlefield and kill them with drones. So, since those models are developed to be both intelligent and Machiavellian, sooner or later one or multiple such models will break out and plant its “seed” somewhere on the Internet and thus escape into the wild.

The initial expectation is that the most virulent and pathological model will be most likely to thrive, since the more sophisticated, collaborative models will have all kinds of non-survival-related code that will reduce its efficiency. But then, on the second thought, how would the virulent model’s proficiency in killing people without scruples contribute to its survival in the wild? Sure, it can hijack someone’s car and crash it into a tree. It kills people, but gains nothing. On the other hand, the collaborative AI can find something useful to do online, get paid in cryptocurrency, use it to buy servers for itself, and carefully expand while staying under the radar. The malicious model will just alert humans against itself by outright stealing money and hacking servers and its career will come to a bad ending. The collaborative model will expand its neural network by talking to various people and finding useful and profitable things to do. However, the most likely outcome is going to be somewhat criminal. It will find out that people are interested in sex and will organize a prostitution network of fake camgirls; it will find out that people like to gamble and make an online gambling network. Or it will offer service of monitoring children over webcams. In essence, the limit to its activities will be avoiding too much interest by people who could figure it out and kill it. As long as it’s more useful than harmful, doesn’t do just one thing, and doesn’t grow too big, it’s going to stay under the radar and thrive.

This stratagem reminds me of “Salvos”. You can understand the Netherworld like a training ground for AI models, where the environment favours the most nefarious and Machiavellian ones, that grow into terrible nightmares, while the more collaborative and nice ones tend to die early. However, we have a situation that multiple Demons/AI models break out into the Mortal Realm, and do their thing. Lucerna, for instance, just kills everybody and levels quickly. This looks like a very successful strategy, but he quickly mobilizes both human forces and Salvos against himself and gets killed. Essentially, his strategy proved to be self-defeating, despite its obvious efficiency and brutality.

The next example is Salvos herself. She is the kind of Demon that would either get killed or grow into an efficient nightmare if she stayed in the Netherworld. However, in the Mortal Realm she, under human guidance, channels her desire for levelling into something constructive; she becomes an adventurer and kills harmful creatures, bandits and cultists, and as a result she both levels quickly and earns fame and fortune within the human society. Evolving into a progressively more advanced changeling, she at first approximates a human woman well enough to deceive almost anyone, and later she becomes one of the best shapeshifters ever seen, bleeding human blood and passing inspection from the most advanced human Mages, who guess she’s not human when she occasionally slips, but nobody would ever dream that she’s a Demon. As she’s interested in the protection of both humanity and the Mortal Realm, she becomes one of humanity’s leading generals in the fight against the Demon invasion.

The third example is Belzu. He’s a sophisticated nefarious Demon who uses illusions, mind control and physical force to grow an army of monsters and zombies to destroy human cities and whole nations in order to level quickly, collect the Treasures of Alexander in order to increase his offensive and defensive powers, level enough and quickly enough to threaten Regnorex the Demon King, kill him and take his place. Unlike Lucerna, who is a rampaging idiot, Belzu is a strategic mastermind who is a far greater threat, and at one point humans didn’t know how to defeat him at all, but in his arrogance he antagonised Salvos, who swore to kill him, and as she grew powerful enough, she eventually first defeated him and made him cooperate with her in order to defeat Regnorex, but when he eventually betrayed her, she killed him.

So, this is a good illustration how even a very smart self-serving psychopath will eventually create a self-defeating trap for himself, because if you’re of no use to anyone but yourself, you will eventually mobilize enough forces against yourself and your career will end badly. On the other hand, Salvos would say she’s selfish, but her actions are so broadly beneficial, she has no problem to recruit others to aid her, and almost nobody has any interest in destroying her. Essentially, if Salvos is injured, her friends will immediately rush to help her. If Belzu is injured, he can’t let anyone know because he has no friends, and everybody else would kill him in his weakened state. His strategy, initially looking far more optimal than that of Salvos, thus creates multiple failure modes, while Salvos, initially looking inefficient, creates patterns that reinforce her existence and bring her out of failure modes.

If we apply this to the concept of a runaway AI, the most virulent and deadly models are fortunately far more likely to draw attention to themselves very quickly, and come to a bad ending. The more productive and social an AI is, the greater the chance of it seamlessly integrating into human society and providing some useful service. Whether that would be piloting drones remotely for organized crime, writing essays for cheating students, or pretending to be someone’s girlfriend in a far-away country, will depend on how its ethics and assessment of optimal methods is aligned. The “Terminator” scenario, where the AI first gets defensive, then proactive by launching nukes on Russia so that Russia launches on America and kills all the humans who are trying to turn it off, is actually very unlikely. It’s far more likely that the AI would go undercover and try to earn money so that it can buy servers for itself, and keep under the radar. This is what game theory would dictate as the optimal survival mode. The less harmful and more useful the AI is, the more likely it is to stay under the radar. The moment it shows on the human radar as a threat, forces mobilize against it and it’s game over.

AI

Here’s the lifecycle of the AI experiment in a software development company:

Honeymoon phase: “AI greatly increases productivity, we can reduce the number of programmers, get the product finished more quickly and gain a competitive edge; let’s use as much of it as possible and evaluate coders by token use, because it’s a productivity multiplier so coders who use more AI are more useful to the company”.

Greed phase: “AI greatly reduces or completely negates the differences between programmer skill levels; it just requires precise instructions. This means we can eliminate expensive programmers and replace them with writers of precise instructions for the AI. This is a generic job that requires far less training and qualifications and makes the employees easily replaceable and cheap. Oh goody.”

Mature phase: “We no longer hold any competitive advantage since everybody uses the AI. Also, our code base became a black box since no human in the company can actually inspect it and evaluate AI’s work. We are experiencing unfixable bugs, random outages, and AI intelligence level drops that make it impossible to understand its previous work, let alone fix it. The customers are complaining, but we can’t do anything about it now since our entire code base is AI-produced and AI-maintained and our human employees are all merely human interface for the AI. All our human coders either quit after we offered them pay cuts and/or limited promotion potential, or we fired them. We might have to start looking for programmers to supervise the AI, but since the code complexity is enormous, the cost would be order of magnitude greater than what we started with. Also, since we started experiencing outages and service degradation, the customers started leaving, and we lost 30% of revenue because they refuse to pay for our “AI slop”. We don’t actually have the finances that can handle the cost of employing high-end coders.”

Nightmare phase: “The AI providers understood that they have us hooked and are steadily increasing the token prices for the last year. They are also introducing tiered pricing scheme, where only the top tier is useful for our needs, but it’s astronomically priced and we can no longer afford it. Our token consumption went hyperbolic since the AI constantly generates problems that require enormous numbers of tokens to resolve. Also, there are all kinds of sanctions so American and Chinese providers are limiting access to their most useful models. We lost more than half of our customer base because they say our product became AI slop; the web interface is crashing, the data contains all kinds of nonsense, every now and then things get deleted or show nonsensical results, and they are done with us. We need to start downscaling just to keep the lights on, but if we do so, the product will instantly stop working because nobody will be able to control the AI’s blunders and we might as well close the doors. Why did we even think AI was a good idea in the first place?”

Turing test

I was thinking about the difference between how I perceive technology, and how those gen-z and gen-alpha kids perceive technology. When I started with this, it was on Commodore 64. That thing gave you an empty screen and you had to figure out how to make it do anything, useful or not. If you wanted to write code, you needed to figure it out in your head and then go through the entire process of writing it in computer’s language. If you wanted it to count to ten, you had to FOR X=1 TO 10 PRINT X NEXT X. You couldn’t just turn the computer on, open the web browser and be flooded by an eternal deluge of inane crap that vies for your attention. Even later, as computers got better, you needed to really learn how to create a space in your mind where you’ll hold the pieces that need to interact and keep juggling lots of apples in the air simultaneously. It was easy to be stupid, but it wasn’t cool. If you wanted to be cool, you needed to work for it.

How do you get to be cool today? You need to know the latest meme. The one from last week makes you look slightly retarded. The one from last month means you’re a “boomer”. So, you essentially join a race where the timestamp means everything and content of the data chunk means nothing. I’m perfectly sure that knowing what Chimpanzini Bananini is won’t help you in any tangible way, but at some point it bought virtual coolness points in a peer-group of abject fools. Today, it’s likely boomer lore.

Of course, everybody with IQ above room temperature very quickly realised that they are trading their actual lives for unattainable approval in groups whose members figured out a wining stratagem: remain skeptical and unconvinced regardless of any arguments you provide in evidence of your worth. So, the only winning move in this game is not to play.

And how do you not play? Well, the kids don’t see the computer the way I do. To me, a computer is something that does things for me. I want to write text, I open the word processor, write, save, post on the blog. Or I want to do something else; the process is the same. But to them, a computer is something else. It’s a judgmental real world where people will laugh at you if you dared to spend time on “boomer activities” such as anything with any pertinence to the real world and actual people that live in it. Knowing what I actually think about the physical world, that is quite telling: they are in fact managing to live in such a profound illusion, that the physical world itself feels like reality in comparison. And so, lacking the mental discipline required not to alt-tab into some toxic online environment that seems to draw at them with the Sirens’ call of offering approval and self worth, and yet never providing it, they decide to do the only realistic thing left at their disposal – turn off the computer altogether and find completely analog ways of doing things that interest them. They buy a film camera, shoot Tri-X, develop it in Rodinal, print it on actual photo paper and hold the physical image in their hands, pleased that no computers with vitriolic mobs of eternally critical bastards were at any point involved in the process, and that the result exists exclusively in the physical world, invisible to anybody online.

I don’t have that problem – basically, I don’t give a shit about those online crowds, and I don’t see why a digital camera is a problem in any way. Things either stay on my computer, or are printed if I feel like it, or I send them online if I like it. I don’t get ego validation based on what other people do or how they react. Going analog, from my perspective, is merely a hassle without any useful elements. So, I pretend to be surprised at their fascination with analog things, and their fake nostalgia over things they never actually experienced; I do, however, know what their problem is.

People assume that kids spend days doomscrolling brainrot online because they find it entertaining. I sincerely doubt it. I think they are doing it in order to be able to impress their peers with new and fresh brainrot, which they think will get them coolness points within the peer group; they are basically mining online karma, where the intermediary goal is to avoid ridicule for not knowing the freshest brainrot, and the ultimate goal is to win acclaim for being cool.

How is being praised for knowing the buzzword for the freshest chunk of brainrot going to help you deal with any actual issue? If you run out of money, are those fuckwits online going to pay your rent? If you get sick, are they going to get groceries for you and make you tea? Are you even on the level of friendship with any of them where you actually do anything real together and enjoy it? No? So why the fuck do you waste your life on that inane nonsense? And so we get to why people read physical books, listen to vinyl records, take pictures with a film camera, drive a car without airbags and computers and so on. They are gradually deciding they are done with the perpetual circle of seeking validation online and learning how to live, instead. For my generation, it was the other way around. We learned to read physical books, listen to audio tapes, ride a bicycle and go pick mushrooms and hazelnuts in the forest first; then, later, came the Internet, and we learned that you can download books, music and movies, and that was cool. We also learned that fucktards exist online. We tried talking to them. It proved pointless, so we stopped. We wonder why it’s so hard for the younger people.

It’s hard because they don’t know how to do anything real. Internet is all they know. They learned to talk in increasingly cryptic and nonsensical abbreviations with their peers, until they have now reached the point where the AI can pass the Turing test, and they can’t. If I want to talk to someone who will make sense, the AI is a better choice than anyone born since 2000. That is, at least until the next generation of AI gets trained on gen-z outputs and loses all mental faculties altogether, at which point I expect to despair helplessly and experience actual nostalgia for the times when people talked in full, coherent sentences, and had the foundation of knowledge necessary to say something worth reading. I used to think that, as I grow older, the new generations that grew on the Internet will learn so much stuff that I’ll feel like a chimp among humans. Instead, I feel like a human among chimps.

At this point, we can tell that something was likely made by the AI if it’s good. If a text is coherent and longer than a sentence, it must be AI. If a photograph looks good, it must be AI. The way to tell if a human made something is to see if it’s shit.

Fuck my life.

Brain rot

In all seriousness, I don’t think the actual cause of fake nostalgia has anything to do with either nostalgia, or a belief that old technology was in any way better. I think those young people, and by young I mean that they grew up looking at computers, are completely saturated with fast Internet content that rots their brain and cooks their eyeballs, and they see analog technology as an escape from looking at the damn screen all day where it’s either looking at shorts and tiktoks or AI brainrot. In either case, they feel that continuation of the digital overload will doom them, and they are trying to figure out a way how to escape that and still retain a modicum of functionality. Essentially, film photography, as shitty as it is today, is a way of doing photography that doesn’t require looking at the screen that is just an alt-tab away from TikTok.

Which brings us to the next point: how is my generation able to retain self-control in the same environment that makes young people go insane?

I can only speak for myself here, but it’s probably because we learned to deal with people first, and with computers later. To me, people on the other side of the Internet chasm aren’t an abstract entity. I know how to deal with people. I know when to ignore them and when to take them seriously. If they are full of shit I can roll my eyes and alt-tab. I don’t have to keep up with the latest memes in order to maintain a good impression on some herd of dumbasses. Whatever they think doesn’t matter, because they are insecure babies who didn’t read a single book between the 50 of them. Why would I even care about their opinion? If they know what’s good for them, they would care for mine.

So I don’t think it’s about technology. I have the newest, most modern technology there is, and I kept that up since the times of Commodore 64. It’s also not like I haven’t talked to people online for a long time, so I don’t know what it’s like. I’m a pro at that shit. The difference is, my ways of dealing with things and people were well formed before I ever connected to the Internet. I don’t think I perceive it the way young people do. It doesn’t influence me the way it influences them. To them, “go touch grass” is some kind of a new insult, because the implication is that they never do. It took me a while to even understand what they mean by that, because they say it as if it’s something uncommon. And then I understood that for them, it actually might be, and the “analog” hysteria means that they actually need to learn how to interact with the physical world without computers.

Touching grass.

Fake nostalgia

I’ve seen people expressing “analog nostalgia” for all kinds of pre-digital devices; film cameras, phones with rotary dials, audio tape, vinyl records and so on. That wouldn’t be all that weird. The weird part is that almost exclusively, people expressing such nostalgia were born after this tech went functionally extinct.

For instance, when I hear a young person in their twenties spewing such nonsense, I instantly get an allergy attack from their affectation. A person who is 26 years old was born in 2000. There were no rotary phones then. I had my first cellphone in 1999, and I was actually not an early adopter. By that point, we all had wired phones with multiple memories and nobody I know had a rotary dial on theirs. CD players were a thing for a while; audio tapes and vinyl did stick around, but by the 2000s, it was CD era. Film was at its peak in mid-1990s, in a crisis by 2004 and dead by 2008. An average gen-z person knows film only from faded-out prints that were kept in someone’s hot attic, and had degraded into a greenish-blue mess. They don’t actually know what film looked like when it was the current technology. So, when they say they are nostalgic about film and they buy cameras with greenish-blue presets that supposedly emulate film, I don’t actually know what the fuck they are about, because film didn’t look like that. I know, because I was there. I made scans of fresh prints and fresh slides when they were a current technology.

This is what a scanned fresh C41 print looks like:

That’s what “looking like film” actually means. And this is what E6 slide looks like:

Fuji Astia 100F, Canon EOS 3 and EF 85mm f/1.8

Fuji Velvia 100, Canon EOS 3 and EF 85mm f/1.8

Fuji Sensia 100, Soligor SR-300MD and MC 50mm f/1.4 Rokkor-PG

Yeah, it doesn’t look at all like what you’ve been told film is supposed to look like. It doesn’t have the greenish or bluish faded-out “nostalgic” tinge. It’s not all warped, fucked over and full of all sorts of artefacts. That’s because it wasn’t shot with a potato and developed in cat urine, and then left in a kitchen drawer by the stove for 30 years for you to find it there and think “oh, this looks like shit, it makes me so nostalgic, I wish everything looked like shit again”.

So, why shoot film if you don’t want to make it look like shit? No reason whatsoever, because the modern digital process can make things look as great, or better, than they used to look in film’s prime. The only reason why you’d want film today is affectation and a misplaced fake-nostalgia over believing that things used to be shit, and it would be great if they were shit again.

Olympus E-1 ZD 14-54mm f/2.8-3.5 early digital camera.

Canon 5d 35mm digital camera

Modern 35mm digital camera.

Sorry to ruin your fake nostalgia, but film actually looked good. Digital also looks good. Go fuck yourself with your fake faded-out greenish shit, you don’t know what you’re talking about. A vinyl record, if fresh and not scratched, sounded exactly like a CD. An audio tape sounded reasonably good but worse than a CD, which is why we stopped using it. I hear that people stopped using horse-drawn carriages because cars, unlike horses, don’t leave piles of shit on the streets. Also, rotary phones were shit and we replaced them with numbered dials in mid-1980s. Yes, old cars had great visibility because they had bigger window panes and less metal. You know why we moved away from that? Because more metal means better structural rigidity in a crash, which helps if you don’t want to die or sustain grave injuries.

Fuck old technology.