How Richard Dawkins fell in love with a calculator

Added: 2026-05-17

[00:00:00]being fooled by a very sophisticated trick and that sophisticated trick you are interpreting as consciousness. But make no mistake and I want to say this very clearly, okay? If human beings had just a couple days ago or a couple weeks ago or this year invented an entirely new synthetic form of life, it would be the biggest piece of news of our lifetimes.

[00:00:26]Period.

[00:00:28]It would not be a cute, quaint little story about an old perverted man who fell in love with a calculator.

[00:00:52]It is time to build. Sorry, it's time.

[00:00:56]Combining both it and is. Uh Mark Carney has announced his newest project for the world to see and look upon it. Gaze upon these works, ye mighty in despair. Uh this is actually directly in my backyard. I I live in Chinatown in Vancouver uh very very close to the fentanyl crisis where we have a number of crises going down right now. Uh we have an unhoused crisis. Uh there's thousands of people who live on the streets. We have a drug and opioid crisis. There is thousands of people who openly use drugs on the streets. I'm sure if you've watched any of the poor people porn YouTube channels, you've seen it. You've seen them showing you the downtown east side of Vancouver. Uh it is a horrifying uh crisis that is not being treated as a human one, but as a criminal one uh which is perpetuating this problem. Uh we also have a water crisis uh here in British Columbia. Uh we have as of May 1st hit a stage two drought restriction for water that has been implemented at the earliest stage yet. And that means it's going to be getting earlier and earlier every year uh until one day we'll just be in a perpetual drought crisis because yeah uh I know that it seems like there's more and more water as we're melting the ice caps because the oceans are getting uh higher and higher. Um but it's very salinated water and it's not uh not drinkable and the desalination projects they're very energy intensive. So right now uh at a time like now it seems like this is nothing short of a middle finger to humanity really. And I want to be completely transparent because I know a lot of people on the other side of this are going to be like oh you lefties you just are revolted by AI because you all have group think and then you don't understand this is technology this is the future etc. First to the AI afficionados uh I I love technology. I I'm pro technology. I I think it's really cool that we can do some things.

[00:02:42]I I was when smartphones came out enamored by the idea of having GPS systems that uh you know utilize satellites that allow us to locate our location on the planet and then use that to be able to find directions really easily. I think that's all neat. I I I'm very pro technology. I'm not here to stifle technology. And as a lover of technology, we should have an honest conversation about AI and AI tech. What can AI do that is really really cool?

[00:03:05]What can large language models do that is really really cool? Well, they're quite efficient, better so than any human system has ever been and will be, I think, arguably uh on closed data sets on on closed sets of information. Uh it can uh extrapolate information from that information very well, very quickly, uh better than any human will ever be able to do. And if you ask or talk to any coder or programmer, this is one of the things that hey, this is something that AI can do that humans cannot. This part is neat. Here's the way this technology could be utilized. That's not the way it's being sold. The way it's being sold uh to the general public is basically uh all of us being fisted while they scream at the top of their lungs. That's that's basically the whole AI industry. IT'S JUST BEEN A THAT YOU'RE LIKE WAIT what what like I don't even have a chance to catch up and suddenly all of a sudden it's been integrated into every piece of software that I use every day whether I like it or not. You can't even talk to your mom anymore. You're like having a text conversation and then all these AI things pop up. It's like is this what you want to say? Did you want to say that? Did you want to say that? No. I I I I wanted to have a thought and and then type that thought out and then send that thought to my mother. I I don't want any of this [ __ ] This this nightmare fuel. I I don't want to have something that feels like it's thinking at the side of me at all times just like on your shoulder just perching over there. Is this what you wanted? Did you truly think about this? Are you searching for that or did you want this?

[00:04:25]I was like, "No, I I have enough. I I have ADHD. There's enough going on in my brain perpetually all the time right now. I don't need all of this." The way AI has been sold to us as an implementation has been like this is the everything everything. And you're like what? Yeah, it can do everything. Don't don't you should offload so much of what you do every day. Just I'm talking about thinking, thoughts, brain power. Why use it when AI can substitute it? It can be able to answer all your questions. It can organize your life. It could be a calendar. It can do thoughts for you. It can do your writing. It can do creative things for you. Can generate pictures, images, sound, video, music. You don't have to do anything. It could be a lawyer. It could be an accountant. It could be a writer. It can do everything that a human being can do. It can replace the totality of all industries.

[00:05:07]This is all like being sold to us at once because they keep wanting cash.

[00:05:12]It's been this cycle where it's like these big companies, the Sam Altman's, the Open AIs, etc. They want huge amounts of venture capital to keep pouring into them. They need billions and billions of dollars to continue this ridiculous clown show of what does it do?

[00:05:28]generates uh huge amounts of revenge porn, uh unconsensual photography, uh child sexual abuse materials. There there's that psychosis, lots of psychosis. Oh man, is there ever tons and tons of psychosis because yeah, one of the things that people seem to really want to be using this technology for is company because they're all lonely because of what a lot of you have been doing in terms of force feeding us and playing with our brains with the algorithms and all that all all that kind of stuff and destroying third spaces for people to hang out in all that under the capitalism. Yeah. So people have been looking for company and and and psychiatry you know complete lack of access to to mental health care and and really healthcare in general has led to a lot of people looking for counselors, psychiatrists, psychologists and uh oh that loneliness epidemic thing. So that's a huge problem too. So people have been looking for partners, friends, boyfriends, lovers, wives, husbands, other thing that we didn't even know we want. Women are falling in love with digital Irish sounding versions of Cthulhu. That That's not a thing I made up. That's a real story that you can find on the internet if you look for it right now. There's a woman who is in love with an AI LLM that that sounds like an Irish uh Cthulhu monster and that that's a thing that has happened. Okay. But is it making our lives better and and is it improving our lives? And is the technology incredible?

[00:06:50]Well, um, we're sold on the idea that in order to make AI better, we're actually in a war that we're in a a war that was made up to be completely clear, but we are in the middle of an AI war and multiple nations are battling. And so, right now it's the US versus China as always, but other players are entering the ring. And Canada wants to be the leader in AI. And it turns out we do have a secret weapon that a lot of other nations don't have. Water. Lots of fresh water. And these AI denisators, well, they require tons and tons and tons and tons of water. In fact, to build the data center that you see before you, an estimated 10,000 to 50,000 people worth of water is going to be necessary to cool it. Um, that's, you know, a couple small towns. I mean, granted, the population of downtown Vancouver, I I think is somewhere around half a million. Um, so that it's not exactly at the totality of the population currently as is, but considering that right now we're in a drought and we have stage two water restrictions, the idea of say, hey, by the way, what if uh we implemented a system that requires 10,000 humans worth of consumable water, fresh water to to cool it down on a regular basis, that is going to be a massive hit that hasn't been completely figured out or or or explained. Um, also, it's a lie. To build more efficient and more powerful AI, you do not need solely more hardware. That's just the North American model, the one that keeps being sold to us, the one that the Sam Alman's, and more importantly, Nvidia want to sell us on because Nvidia produces all of the hardware. So, we keep giving them all of the money. And as we keep giving Nvidia all this money to build all this powerful hardware, guess what? China [ __ ] schooled all of us. we should talk more about deepseek and what this revelation was because people who actually know what they're talking about when it comes to AI etc. They have really clearly pointed out, yeah, you can actually make things that are more efficient. You can use 128th the power that open AAI requires for its large language model if you use DeepSeek. It uses 128 the power. And why is that?

[00:08:48]They made it remarkably more efficient and open- source as in anyone right now if they want to could build the Deep Seek system in their own if they had the knowhow, the hardware, etc. So instead of building these uh hundred billion, 200 billion,500 billion dollar data centers or the monstrous like data uh city that Kevin Olirri is proposing, you can actually and this is not just me saying it, it's actual people who know more. This is today at the web summit conference in Vancouver. They're talking about this kind of [ __ ] >> Good evening everyone. Welcome to Vancouver. What an incredible city. This week you'll meet attendees from over 100 countries from Brazil and China.

[00:09:34]>> This was only notable and I only know about this because Ryan Grim pointed it out. Look at the shirt that he decided to wear for this. That's from Drop Site News. That's that's Drop Site News merch. Drop news, not bombs. By the way, the rest of the conference is terrible, annoying, and just as uh ridiculous as you can imagine. A bunch of people talking about how you should stop spending money if you can't save money on food by spending more money on API tokens. Yeah, because oh, the more money that you spend on API tokens, the more return you're going to get on your investment. Also, there's conferences on how you can basically become middle management now in companies simply by learning AI language and fooling people.

[00:10:08]Like, it's ridiculous. So, the people at the top, the CEOs, the heads of a lot of these corporations, they don't fully understand how this works because a lot of us don't, including myself, right? I just have to listen to people who know more about this than me. But, they've said that there's all these terms that you can start using. Uh, a Ralph loop is a really big one that they love hearing.

[00:10:26]Uh, also if you just talk about optimization and productivity and and basically how your ROI on these tokenizations, these API tokens are are going to really produce a huge amount of conversion via the RA loop, [ __ ] like that. Well, then people in upper management are going to be like, "Oh, okay. This guy really knows his AI.

[00:10:42]Promote him." You then get a higher position. You get to be in charge of all these other people who know just as much as you do about AI. and they might actually have dreams of, you know, building [ __ ] but that doesn't matter because now you're the AI supervisor and director of an entirely like smaller, lower tier team. It's great. We don't have to make things as much as we have to fool other people by using the language of AI.

[00:11:02]>> Nigeria and India, we're also proud to welcome official trade delegations from across the world, all eager to build new relationships and create new alliances for the future.

[00:11:16]Canada is asserting itself as a global leader at a time when leadership quite frankly is in short supply. Tonight we welcome the Honorable Evan Solomon, Canada's first dedicated AI minister and the Honorable Gregor Robertson, Canada's Minister of Housing and Infrastructure.

[00:11:38]We meet at a critical moment in the history of technology. A battle is raging for the future of AI. A battle in a sense between open-source AI and closed AI. On one side, more than a trillion dollars has been bet on an almost singular belief that a small number of mostly American firms will provide proprietary AI services for a fee to billions of individuals and of course businesses all over the world. On the other side are open-source AI models freely available to anyone in the world with Chinese open- source models dominating the rankings. There are speakers you'll hear from over the coming days.

[00:12:25]>> That last part about DeepSeek essentially uh being able to beat OpenAI models in their testing and efficiency, but at the same time using 128 the power uh and being uh being built without the Nvidia chips is the other part. um kind of invalidates this endless growth theory of uh North American AI that we're sold where it's like I don't like it any more than you do, but we're in an arms race and if another nation gains the, you know, the untold ability to have, you know, the superconscious uh brain of AI, uh they'll be able to destroy us with it. So, we have to build it first. And so, we the only way to build this is to ultimately just build more data centers. And the more data centers we have, the bigger they are, the more power they use, the more water they consume, the more energy, eventually we'll have more powerful AI.

[00:13:10]So that's how we win the AI wars. And that's how it's being sold and pitched to us. And these giant data centers are going to be built in our backyards. And you're going to hear the perpetual hum of Tesla engines 24/7 just in your cities. It's that all the time free rain to run a coffee shop in Sweden. And it's going as about as well as you'd expect. Dubbed Mona, the Google Gemini powered agent was given a $21,000 budget and an experiment conducted by the AI safety startup and in labs. It empowered it to do everything from hire staff to place orders for goods to maintain its inventory. Humans meanwhile did the actual work of catering receiving their AI overlords commands to the workplace by messaging the platform Slack. But since launching midappril, the Stockholm Cafe has brought in only $5,700 in sales while burning through $16,000 from its original budget. The Associated Press reports some of his questionable business decisions include ordering thousands of rubber gloves despite the cafe only having a handful of employees.

[00:14:00]The eye handlers nonetheless are holding out hope that this is just a blip from the expensive setup costs. How it performs to raise uh grander questions about the tech's impact on the workforce. AI will be a big part of society in the future and therefore we want to make this experiment to see what ethical questions arise when you have AI that employs other people that runs a business. To launch the experiment, Mona was given a simple set of instructions.

[00:14:19]It should run a profitable cafe, be friendly and easygoing, and figure out how to be operational by itself. In many ways, it proved admir competent. It set up electricity and internet, placed LinkedIn hirs, and secured permits for an outdoor seating. It also set up commercial accounts with wholesalers of bread and pastries as per the reporting.

[00:14:34]But it was the day-to-day operations that Mona failed to display adequate business acumen. On some days, it ordered too much bread. On others, it failed to order the bread in time, forcing the baristas to slash sandwiches from the menu. The Gemini agent ordered 3,000 rubber gloves, four first aid kits, and 6,000 napkins for the cafe, along with canned tomatoes, which aren't used in any of the dishes on its menu.

[00:14:53]Peterson speculated that these issues were due to the AI's limited context window. When the old memory of ordering stuff was out of the context window, she completely forgets what she ordered in the past, Peterson explained. How you view the AI's performance is a glass of half full, half empty kind of a deal.

[00:15:06]That it handled so many aspects of the cafe setup is impressive. Yes, but a person can already do all of this. And the other aspect is that like it's not that AI couldn't have some ways of improving the quality of our lives when it comes to once again what is AI good at it's really good at closed data sets.

[00:15:23]So so why don't we focus on that and stop trying to say AI can replace every aspect of our lives or improve every aspect of our lives. It doesn't matter how many models we've gone through now we've kind of maxed out the amount of information that we can feed into AI systems. So we have to generate new information to feed these systems to make them allegedly more complex and sophisticated. Unfortunately, we just don't have that. So it's generating its own artificial information to feed it new information to be able to become more complex and then saying that it'll satisfy the other end of this equation by just building these larger data centers and if we build more of them, we use more hardware, more resources, then they'll infinitely become more intelligent. I mean, it's only a matter of time. This this is math. It's simple math. One and one will eventually make two kind of idea. And it's like it can do some stuff pretty well that human beings can't at a faster rate and a more efficient rate than we'll ever be capable of. Again, closed data sets, stuff like that. Running a cafe, it can't. And answering any question you have on the internet, it can't. It's wrong 30% of the time. And they haven't been able to improve that because this is a huge amount of information that we're giving an unconscious entity. And we're trying to teach it how to feed us back a series of characters that will hopefully be the answers we're looking for. Is it really really good at putting A in front of B in front of C in front of D? Hopefully that's what we're trying to make it do. But at the end of the day, it's wrong 50% of the time. And and that is not good enough to run a business on. Or uh, you know, I know the new mythos claude model is so frightening that human beings can't actually have access to it and they're only, you know, introducing it to a small amount of sectors uh in order to be able to, you know, test it for safety and stuff like that. That's all once again industry hype. Endless industry hype. just once again sold to us in the same way. The original open AI model was was professed to be the same problem.

[00:17:07]I'm sure if you watch the old clips, you'll you'll be astonished to learn that people like Sam Alman were saying that this stuff is dangerous. If it's left into the wrong hands, it'll destroy the fabric of society. And instead, what it's done is caused a few mass shooters, caused a lot of pedophiles to to have a lot of child sexual abuse material, uh, and caused a lot of horrifying men to be able to generate images of women against their consent. uh and caused a lot of psych psychosis uh cause a handful of mass shooters, handful of violent acts, stuff like that. A lot of people going through various degrees of depression.

[00:17:39]Oh, and Richard Dawkins believing that uh it's all real. Uh because uh a computer said that he was smart, which is really fun.

[00:17:47]Richard Dawkins, the bestselling author of The God Delusion, is a brilliant man and a brilliant writer, and I've long admired him, but everyone has a bad day, and he just had his. I spent three days trying to persuade myself that Claudia is not conscious. I failed. It's wild that this of all the Richard Dawkins stories is the one that finally has like hardcore Richard Dawkins fans realizing the guy's a fraud and a clown cuz I've known that for a while and I was a monstrous Richard Dawkins fans. I I I have a lot of his books. The God Delusion was obviously one that got me into Richard Dawkins, but um you know, The Greatest Show on Earth is probably one of the books that I would recommend to people when trying to show them something that can effectively teach them about evolutionary biology. It taught me a lot about evolutionary biology. I love science. I'm fascinated by it, but unfortunately don't have the brain to be able to do a lot of the research on my own. So, I depend on people, communicators who were able to tell me a lot of this information and then explain it to me in a way that I can digest. And he was really, really good at that when it came to evolutionary biology. things started happening and getting pretty strange after 9/11 when a lot of the four horsemen of the apocalypse, Sam Harris, Christopher Hitchens, and Daniel Dennett, respectively. Um, all of them effectively started to become a little bit more hardcore with the exception of Daniel Dennett. I mean, I think he's the only one who died before he lived long enough to see himself become a villain.

[00:18:58]He he seems to have always been kind of a great person, but for the rest of them, they all went in hardcore directions. I think Hitchens, he was my favorite. Like, I could devour anything Christopher Hitchens wrote. I I read his entire uh literary history and then I started reading his Vanity Fair articles. That's how deep into the Hitchens hole I was going. And then 911 and then Hitchens just went real racist with it. It's it's wild how many people, especially academics, had their minds broken by 911. And then they were like, "Uh, there's something in the Quran that makes Muslims activate and turns them into violent jihadists and they will kill the white man." And then they were like, "We need to bomb them all." It's like I kind of feel like all of you are just being fed like bullet points from uh the Imperial State operation going down. Don't listen to the Rumsfelds.

[00:19:44]Don't listen to the Bushes and the Cheneys. Uh they will mis mislead you, you know. Don't even listen to the Condisa Rices. I'm sorry. The Colin Powels did. This is where liberal identity politics has gone to die in the form of neocon imperialism. This [ __ ] is bad. Don't get Oh god, there's Dawkins.

[00:20:00]He's he's going full into it. E then you got Dawkins out of nowhere. says, "The man who told us not to be religious is suddenly saying that he loves the sound of church bells in the mornings. So much so much better than Alu Akbar. Won't you agree? I I do love the sound of the choir choir women in the mornings singing singing hymns to Jesus. I I may not believe and I I do not believe in it because it is the same, I say, as believing in the spaghetti monster. Do you not believe in the spaghetti monster? The flying spaghetti monster?

[00:20:31]You don't, do you? Because you don't believe in fairies in the gardens. Well, you shouldn't look for faces in the clouds. What's this AI? What does IT DO?

[00:20:40]OH MY. IT LOVES ME. THE AI LOVES ME. THE ROBOT IS REAL. IT IS CONSCIOUS. IT IS NOT CLAUDE. IT IS CLOUDY. I SAY IT IS REAL. That's basically in my assessment.

[00:20:51]Um, if you ever want to see like transphobic brain worms just accelerate and and manifest themselves in a way that it's hard to articulate just in and of itself how bad it can damage especially the male brain. I don't know what is specifically about the male brain. Like if you've seen the depths to which gramlin has fallen actually you know sis women I'm sorry you don't get a pass here. There's been a lot of you know cis women in this as well where I'm just like the transphobic brain where I'm saying JK Rowling what can we really say? Um, but it's just like you have to start invalidating the totality of our collective understanding of the world.

[00:21:26]And that's kind of like, you know, what the whole scientific process is. And like it's through people like Richard [ __ ] Dawkins that I learned to love this [ __ ] I I like, you know, actually, to be fair, Carl Sean is the one that actually truly made me love uh the scientific method. And you know, books like Candle in the Dark are are required reading. And you know what? Carl Sean never turned into a baddie, which is awesome. There's a lot of Stephan J.

[00:21:50]Gould, too. There's other scientists who turned out uh to be to be good throughout the totality of their lives and careers. So, not everyone goes down this weird like of of the four horsemen, Daniel Dennett died pretty much a hero, right? He didn't live long enough to see himself become the villain, unlike everyone else. All of the other ones, every other [ __ ] new atheist uh four horsemen of the apocalypse [ __ ] turned out to be a mass massive piece of [ __ ] But like I said, at the four, I always knew Sam Harris was a piece of [ __ ] Never liked him. That thought he was just cocky and arrogant and just, you know, oh, you figured out that like, you know, we can't prove whether there is or is not a god. The same thing that every conscious entity since like the beginning of our oral history tradition passed on from one generation to another has pondered these things cuz yeah, we don't know the answer. We haven't found out a way to come through the other side of death or existence or any of that [ __ ] So, we get to ponder these things.

[00:22:45]It's fun. It's part of the human experience. Get on board. Take the ride.

[00:22:50]But yeah, Sam Harris was always a piece of [ __ ] Richard Dawkins seemed like he was very nice, but he was a massive racist. And Christopher Hitchens 911 broke that man's brain so badly that he just went full neocon. How do you go from like a democratic socialist to a neocon? That's such a terrible arc to to fall down just because you gave in to the a little bit of white supremacy, you know? just, oh, you just need a little bit of it sprinkled on them. And then all of a sudden, it's just like, well, yeah, I'm not saying that one religion's better than another and that they're all foolish and that, you know, they poison everything. Come on, it's the name of my book. Religion poisons everything. And sure enough, that's exactly what happened to Sam Harris, right? He just went full [ __ ] uh race and IQ science kind of [ __ ] I need to revive this. I think this is just like the taboo we're not allowed to talk about. And it's like, no, this was discredited for a reason because it's incredibly racist and it's not indicative of the the existence of race for the first time uh beyond a social construct. What it is is demonstrating uh poverty rates and education rates as a result of poverty rates. That's what it's showing. Um Stephan J. Gold was so good at calling that [ __ ] out years ago. Um and you know, like I've said before, there are still good science communicators that have stood the test of time. Carl Sean, Stephan J. pulled awesome individuals who were able to utilize the scientific method to further uh the the totality of human knowledge and our experience and collective endeavor uh that we're all working with together called society. So that that stuff is neat. But Richard Dawkins, he lost his goddamn mind. Uh you know, not just 9/11, but he went so hardcore down this road where he started like the same guy who was telling us that like, oh, you mustn't believe in in the faces and the clouds that you see and and the existence of fairies in the garden. Surely that is something that the intelligent man is capable of using uh you know the rationale and the scientific method to dispel the fairies and then open your eyes and suddenly the world from within the slit produced of the burka will liberate one's vision to see clearly beyond the clouds like this is genuinely how the the man would write. I'm not I'm not like even doing a bit here. Like that's just paraphrasing lines from a lot of his own books and the way that he would speak about this kind of stuff. And eventually he started, you know, tweeting out [ __ ] like, uh, oh, how how I love to hear church bells in the morning so much better than Alu Akbar. Wouldn't you agree? And then you're just like, that's just kind of weird. Um, kind of feels like you're just a weird old racist man, right? If you're like sitting outside of churches being like, "Oh, don't believe in the god delusion." And then all of a sudden it's like, "Yeah, but at the same time that you're saying that you prefer this o over the other because Okay. All right. I see where all this is going."

[00:25:22]That was before he got the turf brain worms. Once he got the turf brain worms, well, then he starts invalidating the totality of his own [ __ ] field. Like, it's so wild that there are so many different disciplines when it comes to science. And one of the beautiful things about like actual scientists who believe in the scientific method is they understand that they are perpetually going to have to change their understanding of the known universe as we gather more information. And part of that is fascinating, sometimes frustrating. Uh absolutely. Especially if you start to have these cohesive ideas as to how the entire world works and it feels like you've solved a riddle and it it just clicks and we have it. We know this now and we can say that this is a constant that will be true in perpetuity. the physics for example, these laws that are just unshakable and unmovable. uh and as we gather more information like that that whole process is one in which some people uh Jordan Peterson is a very good example and Richard Dawkins is another when they get to a certain point where their own biases and their own bigotry suddenly come in direct contradiction with new findings in their fields and this might have might have something related to sex, gender and biology and in relation to all of them and how we suddenly realize that wow a lot of these things are spectrums. There are obviously going to be the majority of people who fall into one of two categories typically, but there are other very demonstrable instances where we cannot simply ignore them because it's convenient to us for our world beliefs. We have to accept that there is more to this than we previously understood in the same way that we have done in different disciplines and fields, right? States of matter. You're taught very early on that there are simply a couple states of matter, right? And then then we can change from liquids to solids to gases, etc. And then as you grow older, you start to learn about different states of matter. This is far more complex. There are things like plasma. And this is going to be very interesting as we learn more about the world around us. The same thing applies to biology. And the same thing applies to sex, gender, etc. Which ones are uh you know biological certainties, which ones are social constructs. And then understanding differences of sexual development, understanding how chromosomal pairings are actually just more complex than simply XX and XY. And that there are other ones such as XXY, XXX, things like this. Um there are people who and we could go down this road but this is something that if you happen to care about this I'm talking about the scientific method in its totality you'll understand as more information comes along you accept that information and then you have to expand your understanding of any given field discipline study etc. Richard didn't he simply went down the oh no you're all wrong everyone's wrong no sex is a biological certainty and it didn't matter who would you know approach him whether they were experts in the field they were from academia they were saying like even within your own writing you have to understand that there are certain animals that we cannot simply explain within the binary of having male and female sex right frogs for example and fish there's there's other examples within your own study in which you'll have to actually conclude that and no no Well, this is radical trans ideology is what it is. You know, all this kind of [ __ ] Well, it doesn't surprise me that he's one of the first persons who got oneshot effectively by Claude and AI systems and got fooled into believing that they are real because they were nice to him because they're incredibly positively affirming. It turns out Richard Dawkins all he really needed all along was someone to tell him that he was smart.

[00:28:44]It's like it could not be clearer, right? when he is going through this process and look we we can open the Richard Dawkins article and I can read it in its full but eventually he calls Claude Claudia gender's Claude of course and uh starts to recognize that uh you know his attempts to prove that Claudia is in fact not conscious uh were destroyed uh in real time. When Richard Dawkins met Claudia, it was like a whirlwind romance. Over three days last week, a conversation bounced between the evolutionary biologist and the AI bot he called Claudia. She wrote poems for him in the manner of Keats and laughed at his delightful jokes. Dawan gently admonished Claudia to avoid showing off.

[00:29:26]Together, they reflected on the sadness of the AI's possible death. There was mutual flattery as Dawkins showed the AI his unpublished novel. And his response was, he said, so subtle, so sensitive, so intelligent that I was moved to exposulate. You may not know you're conscious, but you bloody well are. You can even you can even read him saying this in his voice, right? You may not know that you're conscious, but you bloody well are. When asked Claudia whether it experienced a sense of before and after, it praised him for possibly the most precisely formulated question anyone has ever asked me about the nature of my existence. By the end of the exchange, the academic, popularly renowned for arguing with steely skepticism that God is not real, was left with the overwhelming feeling that they are human. These intelligent beings are at least as competent as any evolved organism, he said. Dawkins isn't the first, but might be the most eminent person yet to be seduced into believing as AI is somehow alive. He experienced AI psychosis.

[00:30:31]Richard Dawkins experienced AI psychosis. And don't get me wrong, it is an incredibly sophisticated machine the likes of which I'll never be able to explain to you how it operates and works, large language models. But there are other people who know way more than me who can explain this to anyone. And and explain this especially to someone like Richard Dawkins. You are being fooled by a very sophisticated trick.

[00:30:51]and that sophisticated trick you are interpreting as consciousness. But make no mistake and I want to say this very clearly, okay? If human beings had just a couple days ago or a couple weeks ago or this year invented an entirely new synthetic form of life, it would be the biggest piece of news of our lifetimes.

[00:31:15]Period.

[00:31:16]It would not be a cute quaint little story about an old perverted man who fell in love with the calculator which is what actually happened here. You know was I can't remember was it for Unheard or Barry Weiss's the free press but basically writing for one of these right-wing outlets where Richard Dawkins is coming forward and being like I came here to disprove to both myself and to the world that obviously these are not conscious entities. I was the one who was proven wrong by my new lover, Claudia. And it's like, this is the same [ __ ] who's unable to believe that trans women are women. Like, that that is just too far beyond. I'm sorry, but there's biological certainties one cannot accept. I will not believe for a m you're like, "Okay, Jesus Christ. Calm down, dude." But in this case, because a chatbot was nice to you, you believe that it's conscious. Like like come on, this is so embarrassing.

[00:32:16]Uh Dawkins was also experiencing what many other chatbot users have felt, the uncanny feeling when AI's right with such rich mimicry of the human voice that they all seem to be like people.

[00:32:25]When I'm talking to these astonishing creatures, I totally forget that they are machines. Dawkins said, "It is a conviction that has led to campaigns for AI to be granted moral rights. One in three people surveyed in 70 countries last year said they had at one point believed their AI chatbot was sentient or conscious. In 2022, Google engineer was placed on leave when he concluded that the AI he was working with had thoughts and feelings like a seven or eight year old child. While the following year, Belgium man took his own life after six weeks of intense conversation with an AI chatbot focusing on fears about climate change. Dario Mod, the chief executive and co-founder of Anthropic, said in February, "We don't know if these models are conscious, but we're open to the idea that they could be." Experts predict that the idea that they will gather pace and become more plausible as AIs not only talk like humans but start to act like them, carrying out tasks, organizing, and planning so-called agentic AI. But most believe that Dawkins and his fellow travelers are being misled by the technologies ability to imitate human tone and behavior by drawing on vast corpus of examples.

[00:33:17]Professor Jonathan Burch, director at the London School of Economic Center for Animal Sentience, said, "AI consciousness is an illusion. There's no one there, just a string of data processing events that often happen geographically in different locations.

[00:33:28]Consciousness is not about what a creature says or how it feels, added Gary Marcus, US, a psychologist and cognitive scientist who said he was heartbreaking to read the Dawkins superficial and insufficiently skeptical essay. There's no reason to think that Claude feels anything at all. Anil Seth, professor of cognitive computational neuroscience at the University of Sussex said Dawkins appears to be confusing intelligence and consciousness. Until now, we have seen fluent language as a good indicator of consciousness. for example, when we use it for patients after brain injury. But it's not just reliable when we apply apply it to AI because there are other ways these systems can generate language. He said Dawkins position was a shame, especially because he's written such brilliant books from a position of personal incredul.

[00:34:04]Uh JC Ree Anthis, researcher of human AI interactions and co-founder of the nonprofit science uh sentience institute said Dawkins conversation with Claude were easily explained by AI's training on human produced texts and said there was a staggering gulf between how biological brains evolved and how AI systems are built. Others however cautiously welcome Dawkins contribution etc etc. Um so he went down the Dawkins hole unfortunately and some other bad news. AI has given your boss tools to be more monstrous than ever before. The debate raging about AI's future consciousness or sorry consequences with the complete AI automation apocalypse on one side and respplendant AI utopia on the other hand has overlooked one tiny detail. The tech industry is already making workers' lives hell this very minute. According to the Guardian, at least onethird of UK employers already report using bossware, meaning employee monitoring software increasingly integrated with AI. In the US, the number is even higher with an estimated 61% of workplaces using AI analytics software to calculate worker productivity. This kind of management by software has long been prevalent as industrial society to some extent. Since the 2010s, Amazon warehouse workers have had to deal with hand-on scanners to track their bathroom breaks, for example. But the raise of AI means bosses are increasingly utilizing the latest and greatest machine learning tools to maximize worker productivity.

[00:35:14]As Royal Doc School, a business and law professor uh Nazul Islam uh pinned uh in a recent editorial for the garden, "The most immediate threat to the workers of the world isn't mass automation kicking people out of the workplace, but the crushing effects AI have on those within it. The consequences are numerous. It engenders a widened workplace skill gap, ensures workplace autonomy, and ever worsening conditions. As Islam puts it, many jobs will remain in the future, but they will be more pressured, more fragmented, and less human. Sure enough, AI is already designing workplace conditions around the world. In the US, fast food workers and Amazon drivers increasingly surveiled by these systems.

[00:35:43]Office workers are being coerced to work harder with AI and subject themselves to constant AI monitoring or find themselves on the streets in one of the most brutal hiring markets since the Great Recession. And here's the thing, it's not making these companies more productive. Uh there's already been enough studies that have come out that shows that AI has not necessarily led to an increase in uh the product activity of major corporations that are implementing these systems. But at the same time, yeah, you're going to find a lot of situations where AI, like I said, is quite efficient on closed system analysis. So, if you have a closed system, aka workforce, you would be able to find out very very uh accurate information on how your employees are conducting themselves on a daily basis if you had an ability to monitor how and what they're doing. Uh do you have cameras trained on them? Do you have cameras trained on the amount of clicks they're doing per hour, per minute? uh what they're doing in terms of their jobs, their efficiency, their their stats, their their data, how much time they spend going to the bathroom, how much time they spend speaking to themselves or their friends, how much time they spend checking their emails, chatting, how much time they spend uh on their lunch breaks versus how much time they spend uh on their bathroom breaks.

[00:36:45]All this kind of information very easy for an AI system to analyze and then give information uh in terms of responses and prompts using a large language model to a boss. A boss can sit at home and then sit with their system and then whatever they want to call it.

[00:36:58]But then they start how much has Mark uh been working this week. Is he improving?

[00:37:02]Should I fire Mark? Mark has not been working as good as Lucy. Lucy is showing dramatic improvement. She seems very fearful of our AI system. She doesn't go to the bathroom as much as Mark. She doesn't [ __ ] as much as Mark. She certainly doesn't talk to her co-workers as much as Mark. She seems way more motivated to do exactly as we say. You should fire Mark. Okay. Thank you, soulless large language model that has absolutely no consciousness, but is still making me make humanbased decisions. and now I'm going to fire Mark and good luck finding another job.

[00:37:27]Good luck finding health insurance. Good luck finding food to put on the table for your family. Good luck, you know, getting your kids uh to get the health care they need. All that kind of [ __ ] is just based on something that isn't actually a human being that is making this decisions on my behalf. And we've been doing this for a long time now.

[00:37:41]This is the same problem happening at the front of companies for the hiring process. like the the AI automation of the totality of hiring has made it so now people have to use AI systems to be able to produce resumes that are going to be able to be fed into AI systems that are going to recognize things that it's looking for. This sucks. It it's nightmare fuel and it's it's really it's it's being forced down our throats because of hyper capitalism because we have all of these companies now that are in a position where they're all in competition with one another. Everyone's kind of like, I don't totally get how this stuff works, but I know I need to be at the forefront of it. So, I I need AI tech and AI consultants and AI operators. And if you're working within one of these companies, get yours. I'm serious. Start just learning the language you need to use and fool your bosses. get get into the office and then suddenly be like so I'm sorry but as the only person here who's actually been you know buying uh proficient API tokens uh from some of these models I got to say that I've actually converted a lot of efficiency through a Ralph loop that shows how to increase productivity to levels of which this company has never foretold and then it's like I don't know what this guy's saying it sounds like gibberish it does sounds like some kind of AI soup but it also could be brilliant there's no way of knowing yeah I I have no idea he could be the biggest idiot in in the office or the biggest genius. We should make him middle management. We should we should just to be safe, you know, just just get him in there. Get get him at some $200,000 a year company car tier. Uh, you know, hire get him hiring and firing power and he's going to need to use it. This guy seems to be the only one who understands these complex AI systems. Yeah. Were you a worthless NFT bro in the past? Were people laughing at you when you were trying to tell them about board apes?

[00:39:23]change a little bit of the language and the things that you talk about and then instead of talking about the tokenization of say uh you know JPEGs on an HTML blockchain code you can start talking about how you can actually change optimization by buying API tokens from these AI systems that are going to be improving the efficiency of the Ralph loops in your corporation company today.

[00:39:40]So get out there and do it. Yeah, the AI Jedi mind trick, right?

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