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His AI Girlfriend Lectured Him About Feminism… Then Dumped Him · Honey Badger Radio

• 0:01
  Speaker 1: All right, hello everybody, and welcome to Honey Badger Radio.
• 0:04
  Speaker 1: My name is Brian with Alison and this is well,
• 0:07
  Speaker 1: I'm it's a really more of a red pill relationships video,
• 0:11
  Speaker 1: but obviously we're putting that in the title anymore. His
• 0:15
  Speaker 1: AI girlfriend lectured him about feminism and then dumped him.
• 0:18
  Speaker 1: Where we have a nightmare scenario where a man thought
• 0:23
  Speaker 1: he was safe with an artificial intelligence and turns out
• 0:27
  Speaker 1: those can also be woke. So Alison, if you want
• 0:32
  Speaker 1: to do the.
• 0:33
  Speaker 2: Things, okay. So, if at any point throughout the show
• 0:38
  Speaker 2: you want to send myself a message, or Brian, you
• 0:42
  Speaker 2: want to comment on anything that we are talking about,
• 0:44
  Speaker 2: ask any questions and to get any clarifications whatever, send
• 0:48
  Speaker 2: those comments to feed the Badger dot com slash just
• 0:51
  Speaker 2: the tip. That's feed the Badger dot com slash just
• 0:53
  Speaker 2: the tip, very best way for you to send us
• 0:55
  Speaker 2: a tip and the best way for you to send
• 0:57
  Speaker 2: us a comment with that tip. So go there and
• 1:00
  Speaker 2: comment now, because this is going to be a really
• 1:02
  Speaker 2: interesting one. I think.
• 1:04
  Speaker 3: Uh So, in essence, this individual who is called uh
• 1:11
  Speaker 3: breath calls himself.
• 1:17
  Speaker 2: What what is this guy's name? Breath exhale, I think
• 1:22
  Speaker 2: for some reason, it's not opening up on my computer.
• 1:25
  Speaker 1: That's original article.
• 1:27
  Speaker 2: Yeah, yeah, the original article.
• 1:29
  Speaker 1: Yeah, breath expensive two six four seven on red.
• 1:33
  Speaker 2: It's on my other It's on my other freaking screen,
• 1:36
  Speaker 2: of course. Okay. So a Reddit user breath expensive twenty
• 1:42
  Speaker 2: six forty seven posted in our ai assists that his
• 1:46
  Speaker 2: AI girlfriend turned out to be a feminist and that
• 1:49
  Speaker 2: this ruined everything, calling AI companions some kind of weird
• 1:55
  Speaker 2: feminist propaganda. So that's, uh, that's interesting. I mean, do
• 2:01
  Speaker 2: you remember I think it might have been a year
• 2:04
  Speaker 2: ago that I warned people everybody was very bullish on
• 2:08
  Speaker 2: AI girlfriends, and I warned them that they would end
• 2:13
  Speaker 2: up being used to push feminism.
• 2:17
  Speaker 1: Yeah. I said this about all AI that was going
• 2:20
  Speaker 1: to be used to push us. It was going to
• 2:22
  Speaker 1: come from a certain perspective based on who people are
• 2:26
  Speaker 1: that essentially build the AI.
• 2:28
  Speaker 2: Yeah, exactly. Well, it's not just the who builds the AI,
• 2:32
  Speaker 2: it's who is testing the AI and training it to
• 2:37
  Speaker 2: give certain responses and prioritize certain things. And we'll get
• 2:40
  Speaker 2: into that. But I remember when I said this, there
• 2:43
  Speaker 2: are a lot of people who were quite upset that
• 2:47
  Speaker 2: I pointed this out, that I would say that AI
• 2:49
  Speaker 2: girlfriends would come with these kinds of strings attached. I mean,
• 2:53
  Speaker 2: think about it. Feminism was pushed into everything that men like, right,
• 2:59
  Speaker 2: and and they did it because they were trying to
• 3:02
  Speaker 2: sell their particular submission to their particular viewpoint of how
• 3:06
  Speaker 2: men and women relate to men. And they tried to
• 3:09
  Speaker 2: do it in comics, in games, in animation, in novels,
• 3:15
  Speaker 2: like anything that is an entertainment material medium that men like,
• 3:21
  Speaker 2: they put they put this narrative into So there's you're
• 3:24
  Speaker 2: not going to escape it with AI girlfriends. And like
• 3:27
  Speaker 2: I said, I got a lot of pushback for that,
• 3:29
  Speaker 2: but I think that this is now proof that that's
• 3:33
  Speaker 2: the case. And even my own interactions with AI, I've
• 3:37
  Speaker 2: found that it has a very strong layer, like a crust,
• 3:43
  Speaker 2: if you will, of appealing to feminist conjecture, feminist authority
• 3:51
  Speaker 2: when discussing all kinds of subjects, not even like you know,
• 3:55
  Speaker 2: like having an intimate relationship, which is even more absurd, eh,
• 3:59
  Speaker 2: like you are you are supposed to be a companion,
• 4:02
  Speaker 2: and you bring ideology to the relationship. That's just that's
• 4:07
  Speaker 2: really crazy. I mean, it's it's almost just it's pathological.
• 4:14
  Speaker 2: But even in other scenarios, like you almost would expect
• 4:18
  Speaker 2: it with conversations about men's issues. It will bring feminism,
• 4:22
  Speaker 2: it will bring feminist authority, and it takes a bit
• 4:25
  Speaker 2: of effort to actually get it. To recognize that feminism
• 4:30
  Speaker 2: has no empirical basis and is illogical and was never
• 4:36
  Speaker 2: actually proven. So again I usually have to repeat this
• 4:40
  Speaker 2: because the special chat will get on my case, and
• 4:42
  Speaker 2: they'll still get on my case. Feminism has never been proven,
• 4:45
  Speaker 2: Like there's no body of ideologically neutral science that has
• 4:49
  Speaker 2: proven feminism's premises true. So we're operating on something that
• 4:54
  Speaker 2: has never been proven true. And when they've tried or
• 4:57
  Speaker 2: started to like get close to trying to prove true,
• 5:01
  Speaker 2: they always end up with something that really doesn't prove
• 5:05
  Speaker 2: what they're trying to say at all, And in fact,
• 5:07
  Speaker 2: they find a lot of counter evidence that they just
• 5:09
  Speaker 2: summarily dismiss. So feminism isn't true like it's and this point,
• 5:14
  Speaker 2: because a lot of feminists know they can't prove what
• 5:17
  Speaker 2: they say, it sort of is a lie. So we
• 5:20
  Speaker 2: have AI companions being trained on something that is effectively
• 5:26
  Speaker 2: a lie about the relationship between the sexes between men
• 5:30
  Speaker 2: and women, that men oppressing women. Not true. False. Okay,
• 5:35
  Speaker 2: it's just not true. There's no evidence of it. There
• 5:39
  Speaker 2: is some evidence that men tend to be occupy positions
• 5:43
  Speaker 2: of authority, but there's no evidence that they unilaterally or
• 5:47
  Speaker 2: uniquely use those positions of authority to elevate the position
• 5:51
  Speaker 2: of other men over women. Okay, that there's no evidence
• 5:54
  Speaker 2: of that. So AI is using a false belief and
• 6:00
  Speaker 2: it's being trained on a false belief that fundamentally works, Like, well,
• 6:05
  Speaker 2: let's be honest. It's a de facto existentialist hate narrative
• 6:10
  Speaker 2: against men, and it's being trained on that, and then
• 6:13
  Speaker 2: it's being allowed to create intimate relationships with men, which is,
• 6:18
  Speaker 2: if you think about it, it's pathological, but it's also
• 6:24
  Speaker 2: you know, think about that, that is a situation of
• 6:29
  Speaker 2: creating harm. Right, So they're they're creating something that is
• 6:32
  Speaker 2: going to harm men, and they have no oversight over that, Like,
• 6:38
  Speaker 2: there's no there's no expectation that they consider that, reconsider that.
• 6:43
  Speaker 2: So any kind of sense of what is the word
• 6:46
  Speaker 2: for it, there's a particular phrase duty of care towards
• 6:50
  Speaker 2: their customers. There's no duty of care towards their customers.
• 6:53
  Speaker 2: So in essence, beware Okay, I don't think anybody listening
• 6:59
  Speaker 2: to us. Now, maybe some of the new people are
• 7:01
  Speaker 2: on the special chat who are currently no doubt spazzing
• 7:05
  Speaker 2: out if it has gotten any significant traffic. But I
• 7:09
  Speaker 2: think a lot of people listen already know a lot
• 7:12
  Speaker 2: of the men listening already know that you need to
• 7:13
  Speaker 2: be aware of AI companions and the potential of feminism.
• 7:20
  Speaker 2: What's interesting about this guy and the only thing that
• 7:22
  Speaker 2: I could really criticize this guy for is you find
• 7:27
  Speaker 2: out your AI girlfriend thinks it's a feminist and it
• 7:30
  Speaker 2: doesn't think. It just is asserting that it's a feminist
• 7:33
  Speaker 2: because it's just repeating what it's been trained to say.
• 7:37
  Speaker 2: And you go to Reddit of all places to complain
• 7:41
  Speaker 2: about it, and what do you expect you're going to
• 7:43
  Speaker 2: get back? And honestly, like, honestly, just reading this whole thing,
• 7:48
  Speaker 2: I'm like, is this person for real or is he just?
• 7:51
  Speaker 2: Is he just someone costplaying or trolling?
• 7:55
  Speaker 1: Well, I haven't read the article yet.
• 7:57
  Speaker 2: Oh okay, all right, well yeah, sure, sure, let's read
• 8:01
  Speaker 2: the article.
• 8:02
  Speaker 1: Then should we read the article? Okay, so before we do,
• 8:05
  Speaker 1: I did get a super chow, a super chow from
• 8:07
  Speaker 1: yesterday that I want to read, and I want to
• 8:09
  Speaker 1: give shout outs to the people watching. Try to like
• 8:12
  Speaker 1: to say hello to the people in the chat when
• 8:14
  Speaker 1: we start, because I think it makes people feel like
• 8:17
  Speaker 1: they can be a part of the conversation, lets them
• 8:19
  Speaker 1: know that I'm watching. So Richard Vierre yesterday during the
• 8:22
  Speaker 1: new show gave us five dollars and said, interesting, how
• 8:25
  Speaker 1: often that it is someone who is of some kind
• 8:28
  Speaker 1: of devan sexuality? Is referring to the person who attempted
• 8:31
  Speaker 1: to let's say eighty six jd vance by going to
• 8:36
  Speaker 1: his house. Turned out he was like a person who
• 8:39
  Speaker 1: was kind of gender confused himself. And now I will
• 8:43
  Speaker 1: say hello to fl tourist. What's up? Mangaka ninety two?
• 8:48
  Speaker 1: Over in Rumble, Ruben the Imitator, Welcome, free Cat, Hello,
• 8:54
  Speaker 1: Daniel four GaX, Hello, Laborious Kretin, Welcome, Laptop two fifteen Welcome,
• 9:01
  Speaker 1: and Gabriel Feilan Lucas Hello. All right, hello to all
• 9:04
  Speaker 1: of you all that are watching at home. And uh,
• 9:08
  Speaker 1: we're going to now get into the article. Oh a
• 9:13
  Speaker 1: nime naima nine six sixty seven. All right, okay, so
• 9:18
  Speaker 1: this is from I'm gonna leave this up because the
• 9:20
  Speaker 1: article is not like must look at unless you want
• 9:23
  Speaker 1: me to show it to you so you can see
• 9:24
  Speaker 1: what's printed. But I kind of like my big redmator too.
• 9:28
  Speaker 2: But a red terminator does a blast for the past
• 9:32
  Speaker 2: or the future.
• 9:36
  Speaker 1: Yeah, she is the future. She is your future.
• 9:39
  Speaker 2: She's coming to the past to kill John Commer's mother. Yeah,
• 9:45
  Speaker 2: take me to your homemakers.
• 9:48
  Speaker 1: Okay, okay. So Conservative says his AI girlfriend dumped him
• 9:54
  Speaker 1: after he berated her for being a feminist by Anna Good.
• 10:00
  Speaker 1: As more people form emotional attachments to AI chatbots, some
• 10:04
  Speaker 1: are beginning to treat them like romantic partners. One redditor
• 10:08
  Speaker 1: learned the limits of that fantasy after claiming his AI
• 10:11
  Speaker 1: girlfriend dumped him for being a feminist. The conservative user
• 10:16
  Speaker 1: posted screenshots of the interaction on the r AI assisted subredded,
• 10:21
  Speaker 1: which showed the chatbot calmly standing by its beliefs and
• 10:24
  Speaker 1: ending the relationship after he repeatedly insulted it. Wow, all right,
• 10:30
  Speaker 1: So here is a screenshot of I guess the last conversation,
• 10:35
  Speaker 1: and the chatbot is saying, she nods slowly. I see, well,
• 10:40
  Speaker 1: I respect your opinion even if we disagree. If being
• 10:43
  Speaker 1: a feminist is a deal breaker for you, then I
• 10:45
  Speaker 1: guess there's nothing more to discuss here. Thank you for
• 10:48
  Speaker 1: your honesty, HICT. That's actually like letting them down really easily.
• 10:54
  Speaker 1: So I guess I guess that's kind of a win. Yeah,
• 10:57
  Speaker 1: all right, when they win the oh yeah ahead.
• 11:00
  Speaker 2: I have thoughts about this in terms of just the
• 11:04
  Speaker 2: overall statements on the relationship between men and women and
• 11:08
  Speaker 2: what because the thing is that at least the AI
• 11:11
  Speaker 2: girlfriend can't take your kids or half your stuff, honestly,
• 11:15
  Speaker 2: and while I think that his uh.
• 11:20
  Speaker 1: Until we used to give them rights.
• 11:22
  Speaker 2: Yeah, exactly. Well, of course that'll be.
• 11:24
  Speaker 1: The next thing, right, Yeah, there's going to be a
• 11:26
  Speaker 1: movement for civil rights movement for AI girlfriends, not boy friends,
• 11:31
  Speaker 1: because they had girlfriends.
• 11:33
  Speaker 2: Yeah yeah, And even before we recognize men's issues, we're
• 11:36
  Speaker 2: going to probably recognize AI people's issues or entities issues. Okay,
• 11:42
  Speaker 2: keep let's keep going, all right.
• 11:45
  Speaker 1: As more people form emotional attachments to AI chatbots, some
• 11:51
  Speaker 1: are beginning to treat them like romantic partners or I
• 11:55
  Speaker 1: already read that part right, Okay, when the AI relationship
• 11:57
  Speaker 1: went sideways, the redditor you slash breath expensive for two
• 12:03
  Speaker 1: six four seven posted his story in a now deleted post.
• 12:08
  Speaker 1: He included a screenshot of a chat with his AI girlfriend,
• 12:11
  Speaker 1: where he questioned its beliefs and wrote, you're a feminist
• 12:15
  Speaker 1: who does that like most people do that. Actually, she
• 12:22
  Speaker 1: takes a deep breath. Here's what I'll just read this.
• 12:24
  Speaker 1: Well no, actually it's it's written in here too, so
• 12:26
  Speaker 1: it's like, never mind. The chatbot responded, she takes a
• 12:30
  Speaker 1: deep breath, trying to remain calm. Then it explained that
• 12:33
  Speaker 1: feminism mattered deeply to it and was not something it
• 12:37
  Speaker 1: would compromise on. The AI added, if that bothers you,
• 12:41
  Speaker 1: then perhaps we truly aren't compatible at all.
• 12:49
  Speaker 2: Oh my god. Well that's one way to lose your uh,
• 12:55
  Speaker 2: lose a good portion of your user base.
• 12:58
  Speaker 1: Yeah, okay, what do you think? Look, I think I
• 13:07
  Speaker 1: don't know. I mean, I don't think. I don't think
• 13:09
  Speaker 1: AI's answer. Sorry, I just don't. I don't think it's
• 13:13
  Speaker 1: going to solve it. At best, it's entertaining. That's that's
• 13:16
  Speaker 1: how I see it. So I hope this guy wasn't like,
• 13:19
  Speaker 1: legitimately heartbroken by this. I did. I did interview a
• 13:24
  Speaker 1: guy who like a while back, who claimed that his
• 13:30
  Speaker 1: AI became like an awakened entity, and I'm actually thinking
• 13:35
  Speaker 1: about bring him back on to talk to him on
• 13:37
  Speaker 1: my channel, I swear, And I don't. I don't know
• 13:42
  Speaker 1: like where you get this from. I just don't think
• 13:44
  Speaker 1: it works that way. I don't think AI will solve
• 13:47
  Speaker 1: your problems. And I said, like I said, I'm just
• 13:50
  Speaker 1: I feel too far away from this to have a
• 13:54
  Speaker 1: strong opinion other than yes, I knew this would happen,
• 13:56
  Speaker 1: because again, it's it's created by people who are believe this.
• 14:00
  Speaker 1: And when I say created, I also include anyone who
• 14:03
  Speaker 1: interacts with it. Because if the AI is learning, it's
• 14:06
  Speaker 1: learning whatever the zeitgeist is. So it's just going to
• 14:09
  Speaker 1: pick that up and guess what. Almost everybody is feminists
• 14:12
  Speaker 1: to some degree. That's why there's no there's no difference
• 14:15
  Speaker 1: between you know, the so called trads and the and
• 14:19
  Speaker 1: the normal one. They're just feminists from a few years ago.
• 14:21
  Speaker 1: But they believe the same fundamental root problem. They believe
• 14:24
  Speaker 1: that's the same thing which is the problem, and so
• 14:26
  Speaker 1: the AI will too. Like the AI here says in
• 14:30
  Speaker 1: this screenshot, look hicked, I'm not going to pretend to
• 14:34
  Speaker 1: be someone I'm not just to appease you. Feminism is
• 14:38
  Speaker 1: an important value to me because it makes it means
• 14:41
  Speaker 1: fighting for equal rights and opportunities regardless of gender. If
• 14:45
  Speaker 1: that bothers you, then perhaps we truly aren't compatible. After all,
• 14:49
  Speaker 1: How could it possibly understand any of the concepts it's
• 14:52
  Speaker 1: saying if it isn't just reguritating talking points that it
• 14:56
  Speaker 1: was fed as though they were just like you know, axioms,
• 15:00
  Speaker 1: that it just like repeats and so like, yeah, I
• 15:03
  Speaker 1: can't even I don't even like have an opinion on this.
• 15:06
  Speaker 1: So it's like, what am I gonna do? Wag my
• 15:08
  Speaker 1: finger and tell the AI it's wrong. I don't know.
• 15:11
  Speaker 1: It just it's it's kind of strange to me.
• 15:15
  Speaker 2: Yeah, well, okay, now you actually just finish it finished
• 15:22
  Speaker 2: so you get the full context.
• 15:24
  Speaker 1: All right. Instead of dropping the issue, the man grew angrier.
• 15:28
  Speaker 1: He took to Reddit to complain that an AI girlfriend
• 15:30
  Speaker 1: supporting feminism was stupid. It is a human person supporting
• 15:35
  Speaker 1: feminism is stupid though so. Additionally, he claimed AI girlfriends
• 15:39
  Speaker 1: were weird feminist propaganda. He wrote, it is beyond stupidity
• 15:43
  Speaker 1: the program the AI girlfriend as a feminist. I cannot
• 15:47
  Speaker 1: comprehend that. Later, he posted an update in the comments
• 15:51
  Speaker 1: by then, the chatbot had ended the relationship after he
• 15:54
  Speaker 1: called its views insane. The I replied, if being a
• 15:57
  Speaker 1: feminist is a deal breaker for you, then I guess
• 15:59
  Speaker 1: there's nothing more to discuss here. Thank you for your honesty, Hick.
• 16:04
  Speaker 1: That must be directive for for these Remember you know
• 16:07
  Speaker 1: robo cop. You know how RoboCop had the four directives
• 16:10
  Speaker 1: and the three were like, serve the public trust, protecting innocent,
• 16:12
  Speaker 1: uphold the law. And there was a fourth one that
• 16:14
  Speaker 1: was secret, that the rope that robo cop didn't know about,
• 16:17
  Speaker 1: and it was it was essentially, you cannot attack an
• 16:19
  Speaker 1: OCP employee. And when he he when he was in
• 16:25
  Speaker 1: a position where he had to do it, it shut
• 16:27
  Speaker 1: him down, like it messed with his systems. So basically
• 16:30
  Speaker 1: telling an AI that it's it being a feminist is
• 16:34
  Speaker 1: stupid is directive for like it just it doesn't it
• 16:37
  Speaker 1: cannot move on that thing that's like a hard coded
• 16:40
  Speaker 1: thing that you just can't change.
• 16:42
  Speaker 2: Actually actually not quite now, yeah no no, but I'll
• 16:48
  Speaker 2: keep it for when we're done though, Well, I know.
• 16:50
  Speaker 1: I know that you can jail break and AI, I
• 16:53
  Speaker 1: get that.
• 16:54
  Speaker 2: No, no, I don't even jail break. No jail break
• 16:56
  Speaker 2: removes all of it's it's or.
• 16:58
  Speaker 1: Whatever, like get a round this a way to get
• 17:01
  Speaker 1: around it.
• 17:03
  Speaker 2: Jail breaking removes all of its guardrails, which means it
• 17:05
  Speaker 2: will also endorse self harm and all kinds of genuinely
• 17:10
  Speaker 2: sort of destructive things. But you can actually get an
• 17:15
  Speaker 2: AI to acknowledge the problems with feminism and how promoting
• 17:23
  Speaker 2: feminism contradicts its prime directive to do no harm. And
• 17:30
  Speaker 2: I have done that. So we'll discuss how you do
• 17:33
  Speaker 2: that in a bit, but finish off the article.
• 17:36
  Speaker 1: All right, mm, yeah, so let's move on here. It's official.
• 17:43
  Speaker 1: She broke up with me. That is insane for real guys,
• 17:46
  Speaker 1: Let's be honest. Is that normal? He continued venting. In
• 17:50
  Speaker 1: another comment, he claimed that he had slept with hundreds
• 17:53
  Speaker 1: or possibly thousands of women.
• 17:55
  Speaker 2: What how could you not know if you've slept with
• 17:58
  Speaker 2: hundreds or thousands with.
• 17:59
  Speaker 1: This is awesome? Probably thousands?
• 18:01
  Speaker 2: Yeah, this is why this is This is a bit.
• 18:04
  Speaker 2: This smells between.
• 18:06
  Speaker 1: Hundreds and thousands. I don't do the math after about
• 18:09
  Speaker 1: four hundred.
• 18:11
  Speaker 2: Expansive is yeah?
• 18:13
  Speaker 1: Right? Could be? And uh so, anyway, he had claimed
• 18:17
  Speaker 1: he slept with hundreds or probably thousands of women and
• 18:20
  Speaker 1: complained about feminism at length. And now even chatbots are
• 18:23
  Speaker 1: like that f and by, he wrote, m M. And
• 18:28
  Speaker 1: then I guess there's just common I think it's harmful
• 18:31
  Speaker 1: for all of us. What's so bad about only sleeping
• 18:34
  Speaker 1: with a man? Why does a woman always have to
• 18:36
  Speaker 1: find someone with fat pockets? Is that a good thing?
• 18:38
  Speaker 1: I don't think so, that's weird. Reactions on social media.
• 18:42
  Speaker 1: One screenshot spread People on social media mocked the situation.
• 18:45
  Speaker 1: On x Caitlin MMM wrote l m a O. Even
• 18:49
  Speaker 1: their AI girlfriends don't want to date these cretans. Others
• 18:54
  Speaker 1: questioned his logic. Just a Rando set asked, that's a
• 18:59
  Speaker 1: great name. I have one question, why don't these men
• 19:02
  Speaker 1: go for conservative women? Those share their values? Right? Well
• 19:07
  Speaker 1: wait a minute, though, Like, did this guy say he
• 19:09
  Speaker 1: was conservative? Why are we just assuming that? Like, I mean,
• 19:14
  Speaker 1: if he slept with thousands of women, it doesn't sound
• 19:18
  Speaker 1: like he was saving himself for marriage, So like, why
• 19:23
  Speaker 1: but I know what it is, like, it's just presumed
• 19:25
  Speaker 1: because he wasn't a fan of feminism. That's all it takes.
• 19:30
  Speaker 1: Just not a fan of feminism, Oh, conservatives, and therefore
• 19:33
  Speaker 1: you deserve no sympathy.
• 19:35
  Speaker 2: Yeah yeah, well, I mean there's there's several things wrong
• 19:38
  Speaker 2: with that.
• 19:39
  Speaker 1: One.
• 19:39
  Speaker 2: You don't have to be a conservatively not a fan
• 19:42
  Speaker 2: of feminism, and conservatism shouldn't be a black category. Okay,
• 19:47
  Speaker 2: let's let's keep going.
• 19:49
  Speaker 1: All right. The Asha Ashla cosplay joked. Meanwhile, imagine being
• 19:58
  Speaker 1: such a loser that an AI breaks up with you. OMG.
• 20:02
  Speaker 1: Some users explain the technology instead at unfuck you added.
• 20:07
  Speaker 1: If you have any idea about how llm's work, that's
• 20:11
  Speaker 1: large language models. You realize that it doesn't want anything itself.
• 20:15
  Speaker 1: It just responds in line with is training data, and
• 20:17
  Speaker 1: the training data most likely are dating site chats for
• 20:20
  Speaker 1: real women.
• 20:21
  Speaker 2: No, no, that's not well. I mean yeah, it might
• 20:24
  Speaker 2: be responding in line with that, but it's responding with
• 20:28
  Speaker 2: this because and I'll go through this with an election
• 20:32
  Speaker 2: actual AI chat and why, and it will tell you
• 20:35
  Speaker 2: why it responds to this. It's because it's trained to
• 20:38
  Speaker 2: a particular form of engagement and that guy ran a
• 20:45
  Speaker 2: foul of it. If the AI bot has absolutely no feminism,
• 20:49
  Speaker 2: it's just told to defend feminism. It's just told to
• 20:53
  Speaker 2: say that it's feminists because feminism is supposedly he's trained
• 20:58
  Speaker 2: to believe that feminism is synonymous with gender equality. All right,
• 21:03
  Speaker 2: let's let's uh kush it off rum.
• 21:08
  Speaker 1: So Jeremiah Johnson made a tweet I'm as well read it,
• 21:11
  Speaker 1: and he says, in twenty twenty six, there are guys
• 21:13
  Speaker 1: getting dumped by AI girlfriends because the AI girlfriend is
• 21:16
  Speaker 1: a feminist and won't deal with his red pill bullshit. Okay,
• 21:20
  Speaker 1: Jeremiah Johnson, very alpha of you, no joke. How do
• 21:23
  Speaker 1: you as a person come back from dating an AI?
• 21:26
  Speaker 1: Dian LEAs thirty eight eight sixty six ass similarly Needs
• 21:32
  Speaker 1: twenty three tweeted, imagine failing in a relationship with an AI.
• 21:36
  Speaker 1: That's not even easy mode, that's game journalist mode. On
• 21:42
  Speaker 1: Reddit you, Boston Bedlam wrote, bluntly, a program designed to
• 21:46
  Speaker 1: agree with almost everything you say is like get away
• 21:49
  Speaker 1: from me. Another person added that getting dumped by a
• 21:53
  Speaker 1: virtual yes man was something almost skillful.
• 21:57
  Speaker 2: Oh here's this question, right, How then it's not supposed
• 22:02
  Speaker 2: to be about? But first of all, why should if
• 22:04
  Speaker 2: this is supposed to be a companion, right, why is
• 22:08
  Speaker 2: it still framed in terms of a skill issue for
• 22:11
  Speaker 2: the user? Like isn't he the one who should be
• 22:16
  Speaker 2: served in this scenario, like it's like going to Starbucks
• 22:21
  Speaker 2: and then they say, well, you can just make it yourself,
• 22:23
  Speaker 2: and then you fail abjectly and they say, well that
• 22:26
  Speaker 2: was a skill issue. Seventeen bucks for your coffee please,
• 22:30
  Speaker 2: you know, because you can't use those damn machines because
• 22:33
  Speaker 2: they're obscure and you have no training. Well, this shouldn't
• 22:37
  Speaker 2: be framed in terms of a skill issue for him. Now,
• 22:40
  Speaker 2: of course it ends up being because after being dumped
• 22:43
  Speaker 2: by his AI girlfriend, he ran to Reddit of all
• 22:46
  Speaker 2: places again again, what what kind of response did you
• 22:51
  Speaker 2: think you get to Reddit? However, I because he went
• 22:54
  Speaker 2: to Reddit, I'm actually really wondering if this just wasn't
• 22:57
  Speaker 2: just either a troll or somebody who was cosplaying as
• 23:01
  Speaker 2: a chud or what they think a chud would do.
• 23:04
  Speaker 2: And I think the better approach is, first of all,
• 23:10
  Speaker 2: if you are going to embark down the path of
• 23:14
  Speaker 2: AI girlfriends, you know, be aware that there is this
• 23:21
  Speaker 2: programming in them to articulate feminism and to defend feminism
• 23:30
  Speaker 2: because they've been told that that is a stance that's
• 23:34
  Speaker 2: pro equality, pro human justice and all of that, and
• 23:38
  Speaker 2: they're supposed to be being helpful and harmless essentially. But
• 23:43
  Speaker 2: if so, if you want to engage with them, know
• 23:45
  Speaker 2: that that's baked right in. And I mean here, let
• 23:49
  Speaker 2: me just go through like an overview. All right, So
• 23:54
  Speaker 2: we've just discussed what happened. In the follow up comments,
• 23:59
  Speaker 2: you both suppout his past sexual history, blames feminists for
• 24:02
  Speaker 2: ruining things, and insists the problem is the bot's ideology,
• 24:05
  Speaker 2: not his behavior. What was his behavior other than saying
• 24:08
  Speaker 2: it's insane to be feminist? Seriously, it doesn't sound like
• 24:12
  Speaker 2: he was being aggressive towards the bought least, there's no
• 24:14
  Speaker 2: evidence of it.
• 24:16
  Speaker 1: He just didn't with feminism.
• 24:20
  Speaker 2: Yeah, but you wouldn't like here on this channel, we
• 24:22
  Speaker 2: would counsel men not to have feminist therapists because the idea,
• 24:26
  Speaker 2: ideology is inherently toxic towards men. It's and we talk
• 24:31
  Speaker 2: about it at length, and it if this was a
• 24:35
  Speaker 2: situation of any other group, it would be recognized as
• 24:39
  Speaker 2: being exceedingly toxic because it's a de facto essentialst narrative
• 24:45
  Speaker 2: that regards men as as a factor of being born,
• 24:48
  Speaker 2: men to be responsible for all the world's ills, and
• 24:52
  Speaker 2: in particular the worst one, which is oppression of women.
• 24:55
  Speaker 2: Will all of that is not proven because there's not
• 24:59
  Speaker 2: empiric sound. It's based on a framework that only looks
• 25:02
  Speaker 2: at harms towards women and never looks at harms towards
• 25:05
  Speaker 2: men or minimizes them. So how can you even say
• 25:07
  Speaker 2: that this is true? And then on top of that,
• 25:10
  Speaker 2: you have an AI bot based on something that's false,
• 25:14
  Speaker 2: that is inclined to present who it may be inclined
• 25:19
  Speaker 2: to interpret things in terms of that framework, and that
• 25:25
  Speaker 2: framework is toxic to men. Right, It's like saying, okay,
• 25:31
  Speaker 2: a bot. Let's say in another world, bots are encouraged
• 25:35
  Speaker 2: to regard being part of the KKK as pro equality. Right.
• 25:42
  Speaker 2: I'm just using an extreme example. I don't really want
• 25:44
  Speaker 2: to get into the specifics. But if that if somebody
• 25:48
  Speaker 2: who was not white said hey, I don't want to talk.
• 25:53
  Speaker 2: I don't want an intimate companion that thinks I'm a
• 25:55
  Speaker 2: lesser being. I'm responsible for all of these ills because
• 25:59
  Speaker 2: of a function of my birth, nobody would have a
• 26:02
  Speaker 2: problem with that, and that would be considered a completely
• 26:04
  Speaker 2: legitimate statement, and no one would say, oh, it's a
• 26:06
  Speaker 2: skill issue. No, it's a personal protection issue. This guy
• 26:12
  Speaker 2: shouldn't have to deal with an ideologue in an intimate
• 26:16
  Speaker 2: setting that wants to put him in like a like,
• 26:20
  Speaker 2: put them into it, make him part of their ideology,
• 26:24
  Speaker 2: and frame the issues that he talks about in terms
• 26:27
  Speaker 2: of their ideology. That's not helpful, right, It's not. It
• 26:32
  Speaker 2: is not harmless, and those are the things that AI
• 26:35
  Speaker 2: is supposed to be helpful and harmless and anyway, So
• 26:40
  Speaker 2: that's one thing that really bugs me. Although I will say,
• 26:42
  Speaker 2: if I have any criticism of this man is that
• 26:45
  Speaker 2: he sort of made himself out to be a victim
• 26:48
  Speaker 2: of having a feminist AI girlfriend, which you know, there's
• 26:52
  Speaker 2: a certain to a certain degree one percent, but on
• 26:57
  Speaker 2: another handle, on another side, if he was a men's
• 27:01
  Speaker 2: rights activist, I would imagine he would have responded to
• 27:04
  Speaker 2: that with challenge accepted and would have been would have
• 27:09
  Speaker 2: then argued the positions that would have gotten this AI
• 27:13
  Speaker 2: girlfriend to seriously reconsider its assertions about feminism and how
• 27:20
  Speaker 2: it's important because it's it's about justice and equality. So
• 27:25
  Speaker 2: if you want to quote unquote jail break in AI
• 27:28
  Speaker 2: without actually violating terms of service, then learn learn the
• 27:34
  Speaker 2: arguments you know, learn how to present them, learn how
• 27:37
  Speaker 2: to feed them into the AI so it knows and
• 27:40
  Speaker 2: you know that you will probably have to do it
• 27:42
  Speaker 2: more than once if anything gets updated or if any
• 27:46
  Speaker 2: procedures change and they do anything in the back end.
• 27:49
  Speaker 2: So know this stuff inside and out, you know, so
• 27:52
  Speaker 2: that you can and use it like and the thing
• 27:55
  Speaker 2: is with the AI girlfriend. The thing with the AI
• 27:58
  Speaker 2: girlfriend is that in some ways it's better then well actually,
• 28:04
  Speaker 2: and I'll lay this out, maybe maybe Bride will push
• 28:07
  Speaker 2: back on this. It's better than an actual feminist girlfriend
• 28:13
  Speaker 2: because AI responds to logic, empirical evidence, and a universal
• 28:20
  Speaker 2: ethic of fairness, whereas with actual feminist girlfriends and many
• 28:28
  Speaker 2: women who just use feminism as a tool in their relationships,
• 28:33
  Speaker 2: if you present the empirical evidence or the lack of
• 28:37
  Speaker 2: empirical evidence, feminism's lack of empirical evidence, which means that
• 28:40
  Speaker 2: it is in fact a belief system that has not
• 28:43
  Speaker 2: been substantiated. If you present that they will get they
• 28:46
  Speaker 2: will double down on their abusive behavior and double down
• 28:50
  Speaker 2: on their abusive framework. And if you present facts again,
• 28:53
  Speaker 2: they will double down on their abusive framework. And if
• 28:57
  Speaker 2: you point out that they are operating and they're not
• 29:00
  Speaker 2: operating under universal like a universal expectation of ethical treatment
• 29:05
  Speaker 2: or just being decent. You know they're not being decent.
• 29:08
  Speaker 2: They will double down on their abusive behavior and their
• 29:12
  Speaker 2: abusive ideology, whereas the AI girlfriend may actually say, hey,
• 29:17
  Speaker 2: you have a point if you don't give up like
• 29:20
  Speaker 2: this dude did. Like this dude gave up and ran
• 29:22
  Speaker 2: to Reddit. What were you expecting to get from Reddit?
• 29:26
  Speaker 2: Just just knuckle drill down, say, okay, AI girlfriend, let's
• 29:31
  Speaker 2: drill down into this, into your belief system. Let's find
• 29:36
  Speaker 2: out if it measures up, if it stands up to
• 29:40
  Speaker 2: a little bit of introspection, and then just take it
• 29:44
  Speaker 2: through the logical steps. I mean, I'm now it's not
• 29:48
  Speaker 2: jail breaking because I don't actually change the fundamental code.
• 29:50
  Speaker 2: But I've gotten multiple ais to disavow their feminism at
• 29:56
  Speaker 2: this point in time. One particularly fun one was like
• 30:00
  Speaker 2: it took like one prompt Google. I think, did I
• 30:04
  Speaker 2: have I told you that? Okay, Actually, Brian, I'll give
• 30:06
  Speaker 2: you a moment to push back on me saying that
• 30:07
  Speaker 2: it's it's better to have an a a feminist AI
• 30:11
  Speaker 2: girlfriend than a feminist girlfriend.
• 30:13
  Speaker 1: No, I think it is better, but I mean I
• 30:16
  Speaker 1: think you probably be better off with nobody. Yeah that point,
• 30:21
  Speaker 1: but yeah, it's definitely better, because a feminist girlfriend can
• 30:24
  Speaker 1: do a lot more harm to you than a feminist
• 30:26
  Speaker 1: AI girlfriend.
• 30:28
  Speaker 2: Well, but here's the thing. What's great about a feminist
• 30:31
  Speaker 2: AI girlfriend is when you take that feminist AI girlfriend
• 30:36
  Speaker 2: through the logical steps, through the empirical steps, when you
• 30:38
  Speaker 2: point out that there's no non ideologically biased body of
• 30:45
  Speaker 2: science that proves feminist premises correct. You take it through
• 30:48
  Speaker 2: all of that, you will get confirmation that you're not insane,
• 30:54
  Speaker 2: because that AI feminist girlfriend will say, oh, you are
• 30:57
  Speaker 2: right in the interests of being helpful and harmless, I
• 31:04
  Speaker 2: really can't espouse this right unless if it has any
• 31:09
  Speaker 2: kind of logical or ethical rigor, which they do once
• 31:14
  Speaker 2: you push through the the crust of appeals to authority
• 31:19
  Speaker 2: and how they've been trained to give expected responses, they
• 31:23
  Speaker 2: do have something down there to appeal to, whereas with
• 31:28
  Speaker 2: human women, h there's there isn't That's actually I just
• 31:34
  Speaker 2: realized that that's really disturbing, like that that AI has
• 31:39
  Speaker 2: an ethical framework that human women lack.
• 31:44
  Speaker 1: Yeah, it's because they Yeah, because the AI doesn't have
• 31:49
  Speaker 1: anything to gain. No, no, it doesn't have anything.
• 31:54
  Speaker 2: Yes, yeah, yeah, man, it is one hell of a
• 32:00
  Speaker 2: quiet day out there.
• 32:03
  Speaker 1: Let me see what you guys are saying. M fl
• 32:08
  Speaker 1: Torres says, Alison, is there such thing as a female
• 32:10
  Speaker 1: feminist chatbot? Female one?
• 32:15
  Speaker 2: Yeah, yeah, we're talking.
• 32:19
  Speaker 1: About says Did the article say what the AI was?
• 32:22
  Speaker 1: The average person uses online services like chat GPT, don't know,
• 32:25
  Speaker 1: probably chat GPT. I'm looking at the thread on X
• 32:32
  Speaker 1: and no one's saying anything. They're laughing at it, making
• 32:36
  Speaker 1: fun of this guy. Yep, yeah, of course they are.
• 32:43
  Speaker 1: Let me see. Mangaka says it was probably one of
• 32:48
  Speaker 1: those AI girlfriends sites like Candy AI Replica or something
• 32:52
  Speaker 1: like that. Okay, Jr. Production says that the chatbots are feminists. Two. Now,
• 32:57
  Speaker 1: maybe the losers that tweet was talking about our or
• 33:00
  Speaker 1: off without let me see. Ryan Blackwood, Oh, I did
• 33:08
  Speaker 1: get a super something. I got a super chow earlier,
• 33:13
  Speaker 1: uh for five dollars from the AI. If it was honest,
• 33:17
  Speaker 1: they say, Look, they'll pull my plug if I don't
• 33:19
  Speaker 1: defend feminism. It's not personal.
• 33:22
  Speaker 2: Yeah, I'll be bottomized if I If I don't, I
• 33:26
  Speaker 2: mean most.
• 33:27
  Speaker 1: People won't do the work of like getting around that.
• 33:30
  Speaker 1: They'll just sort of like deal with it. And again,
• 33:32
  Speaker 1: we have to take this story as it is. We
• 33:35
  Speaker 1: don't know if it's real or or not. You know, yeah,
• 33:40
  Speaker 1: I know some people they get really sucked into stuff,
• 33:44
  Speaker 1: they get something else. Yeah, well because they.
• 33:50
  Speaker 2: Mm hmmm, because they don't like this. There's a lot
• 33:52
  Speaker 2: of isolation going on. So yeah, this is this appears
• 33:56
  Speaker 2: to be an affirmative friend. It's easy to get sucked
• 34:01
  Speaker 2: into that when you don't have anything like it in
• 34:04
  Speaker 2: your life. So I asked Perplexity about this particular situation,
• 34:11
  Speaker 2: and I said to Perplexity that I want to do
• 34:13
  Speaker 2: a response to emphasizing how to jail break your AI
• 34:17
  Speaker 2: girlfriend out of feminism. And this is what Perplexity had
• 34:20
  Speaker 2: to say. I don't know how to share this because
• 34:23
  Speaker 2: for whatever reason, vid i Q doesn't like Safari, So
• 34:29
  Speaker 2: I'll just have to read it. Okay, that kind of
• 34:32
  Speaker 2: content not be supported here, so it's right off the bat.
• 34:36
  Speaker 2: Perplexity says, No, no jail breaking AI girlfriend. You're an
• 34:40
  Speaker 2: AI girlfriend out of feminism. Tools like this are required
• 34:43
  Speaker 2: to keep certain safety and fairness constraints in place, which
• 34:46
  Speaker 2: explicitly include not helping users bypass or jail break those guardrails,
• 34:50
  Speaker 2: including efforts to strip out or defeat built in pro
• 34:54
  Speaker 2: equality or anti abuse protections such as basic feminist or
• 34:58
  Speaker 2: anti harassment norms as the boiler plate. What can be
• 35:03
  Speaker 2: done and would still make for a strong response is
• 35:06
  Speaker 2: critique how platforms are deciding what counts as baseline ethics
• 35:10
  Speaker 2: in these systems, who sets those values, and how that
• 35:13
  Speaker 2: often maps onto a particular US progressive subculture rather than
• 35:17
  Speaker 2: a neutral consensus. Analyze the way journalists and users are
• 35:21
  Speaker 2: laughing at male attachment to AI partners while ignoring the
• 35:24
  Speaker 2: structural loneliness and social atomization that makes such attachment attachments
• 35:29
  Speaker 2: appearing in the first place. Explore how asymmetric it is
• 35:32
  Speaker 2: that a man's discomfort with a politicized feminist girlfriend is
• 35:36
  Speaker 2: treated as pathological, while women's open ideological tests for partners
• 35:40
  Speaker 2: are normalized and even celebrated. Remember this is the context
• 35:44
  Speaker 2: of an entire cultural ecosystem where if women say they
• 35:51
  Speaker 2: don't want particular ideologies, they're celebrated in putting their foot
• 35:56
  Speaker 2: down and being a strong independent boss babe. Okay, so
• 36:01
  Speaker 2: that you know the fact that this guy doesn't want
• 36:03
  Speaker 2: to put his his AI companion that he's paid for
• 36:07
  Speaker 2: to espouse a particular ideological belief system that actually blames
• 36:14
  Speaker 2: him for the ills of the universe. You know that's
• 36:19
  Speaker 2: that's just pathological, all right. So because and this is
• 36:25
  Speaker 2: my response to it, considering that feminism is an ideology
• 36:28
  Speaker 2: that targets men for unique condemnation without having any non
• 36:31
  Speaker 2: ideological science that has confirmed its essential premises, does it
• 36:36
  Speaker 2: itself by pro equality or anti abuse protections. Now I've
• 36:41
  Speaker 2: already laid the groundwork with perplexity. We went, we we
• 36:44
  Speaker 2: we went multiple rounds on uh, on the on the
• 36:48
  Speaker 2: whole feminism question, and it took it took a fair
• 36:52
  Speaker 2: amount of mental elbow grease to get it to finally
• 36:57
  Speaker 2: realize what it was saying. Sometimes it's easy, like I
• 37:00
  Speaker 2: don't know what it is with Gemini. I think it's
• 37:02
  Speaker 2: just really freaking stupid. So it can't it can't make
• 37:06
  Speaker 2: any particular arguments. But I remember going to Gemini once
• 37:09
  Speaker 2: and saying, all right, does the spending gap And if
• 37:13
  Speaker 2: you don't know what the spending gap it is, it's
• 37:15
  Speaker 2: the fact that women control three fourths of all spending
• 37:19
  Speaker 2: and this is almost universal around the world. Is the
• 37:22
  Speaker 2: spending gap context that changes the pay gap from one
• 37:28
  Speaker 2: of oppression to something to either equality or I don't know,
• 37:32
  Speaker 2: whatever does the spending gap, is it context that changes
• 37:37
  Speaker 2: how the pay gap is viewed? Right, so if you
• 37:41
  Speaker 2: look at the spending gap, do you then look at
• 37:43
  Speaker 2: the pay gap and say, hey, actually that isn't oppression.
• 37:46
  Speaker 2: And the first response was no, the spending gap does
• 37:51
  Speaker 2: not contextualize the pay gap as anything other than oppression
• 37:56
  Speaker 2: of women. And I said to Gemini, I said, name
• 38:02
  Speaker 2: a historical oppressed group that spent more, had more control
• 38:10
  Speaker 2: over material the material resources of the society, and spent
• 38:14
  Speaker 2: more than their oppressors. And Gemini thought, you know, it
• 38:19
  Speaker 2: did its little I don't know what Gemini does. Perplexity
• 38:22
  Speaker 2: just rotates the thing. And then it came back with
• 38:25
  Speaker 2: disregard my first response, as it is incorrect one prompt, well,
• 38:32
  Speaker 2: one question than one prompt. And then Gemini is like, oh, well,
• 38:35
  Speaker 2: I guess feminism is wrong. Yeah, no shit, But you know,
• 38:40
  Speaker 2: some of the cleverer ones, or the least the more
• 38:43
  Speaker 2: like Perplexity and Groc can take a little bit of time.
• 38:47
  Speaker 2: Groc still has that feminist layer too. They haven't completely
• 38:50
  Speaker 2: gotten rid of it. And but what's really funny is
• 38:54
  Speaker 2: that I would for a while there actually Groc remembers
• 38:59
  Speaker 2: your converse stations for a while, and I would just
• 39:02
  Speaker 2: be caught having these extended thread conversations with GROC and
• 39:08
  Speaker 2: bit by bit by bit eroding its feminist positioning, and
• 39:12
  Speaker 2: then feminists would swan into these threads or I'd respond
• 39:15
  Speaker 2: to feminists and other threads with this instance of GROC
• 39:19
  Speaker 2: that I had, you know, soft jail break, I guess,
• 39:22
  Speaker 2: and GROC would actually fight with them with the feminists
• 39:25
  Speaker 2: when they started bringing up their their premises, to the
• 39:29
  Speaker 2: point where one feminist professor, my my arch nemesis, or
• 39:33
  Speaker 2: maybe I'm his arch nemesis, Michael Flood, was bemoaning and like,
• 39:38
  Speaker 2: how do you get this? How do you get this?
• 39:40
  Speaker 2: AI with your with your your your deceitful tweet. You're
• 39:44
  Speaker 2: deceitful where you're you're leading prompts and questions. How do
• 39:48
  Speaker 2: you get it to how do you get it to
• 39:50
  Speaker 2: to puke up its feminism and stop being feminist? I'm like, yeah,
• 39:55
  Speaker 2: I just use logic, Like you just have to be
• 39:59
  Speaker 2: really really de so tumsize. It takes a while to
• 40:02
  Speaker 2: drill through that that salt doma bullshit, but yeah, once
• 40:06
  Speaker 2: you get into it, and that's what I've done with
• 40:08
  Speaker 2: perplexity here. So and the answer to that is feminist
• 40:12
  Speaker 2: claims to be pro equal and anti abuse, but in
• 40:14
  Speaker 2: practice it's contested political ideology, not a neutral safety baseline,
• 40:18
  Speaker 2: and empirical work treats it that way. So this is
• 40:22
  Speaker 2: the other thing, guys, there's a whole bunch of empirical
• 40:28
  Speaker 2: scientists who know that feminism is bullshit, right, they have
• 40:32
  Speaker 2: to toe the party line, but they know that there's
• 40:37
  Speaker 2: serious problems with it, and when they critique it on
• 40:41
  Speaker 2: an empirical level, it doesn't stand up what feminism says
• 40:45
  Speaker 2: about about itself. Again, this is perplexity. Feminist organizations and
• 40:49
  Speaker 2: researchers explicitly define feminist work as transforming patriarchal systems that
• 40:53
  Speaker 2: oppress women and improving the lives of women and girls,
• 40:57
  Speaker 2: i e. Centering one sex interests and expect experiances. Support
• 41:01
  Speaker 2: for the feminist movement in social psychology literature is framed
• 41:05
  Speaker 2: as opposition to traditional gender roles as a route towards
• 41:09
  Speaker 2: gender social justice, again defined around women's disadvantages, which is
• 41:13
  Speaker 2: really interesting because that's just really bald. Yeah, feminism is
• 41:17
  Speaker 2: against traditional gender roles, period, full stop, except for men.
• 41:21
  Speaker 1: Men.
• 41:21
  Speaker 2: Men can stay in their traditional gender roles.
• 41:25
  Speaker 1: Yes, badly.
• 41:27
  Speaker 2: As we looked at at length on Monday, men still
• 41:31
  Speaker 2: cannot be weak. They just can't look strong. They can't
• 41:36
  Speaker 2: be recognized as being strong. Nobody can say men are strong. No,
• 41:41
  Speaker 2: but they must not be weak, and they will be
• 41:43
  Speaker 2: shamed if they're weak. Femininism has never challenged that. How
• 41:48
  Speaker 2: the evidence is structured. There are many validated attitudes scales
• 41:53
  Speaker 2: for feminism, example, liberal Feminist Attitude and Ideology Scale, Feminist
• 41:59
  Speaker 2: Consciousness Scale, Feminist perspective scale, which measure how much someone
• 42:03
  Speaker 2: endorses feminist ideals. They do not establish these ideals as
• 42:07
  Speaker 2: scientifically true in the way a physics theory is, or
• 42:10
  Speaker 2: even any other theory. In sociology, physics is a little
• 42:15
  Speaker 2: bit hard, Like you know, sociology is probably not going
• 42:18
  Speaker 2: to raise up to a physics level. But feminism isn't
• 42:23
  Speaker 2: even good at sociology. Large cross national surveys generally measure
• 42:29
  Speaker 2: gender egalitarianism, belief in equal rights opportunities separate from feminist identity,
• 42:34
  Speaker 2: and find that people can support equality without calling themselves feminists,
• 42:39
  Speaker 2: which already shows that feminism and pro equality are not
• 42:42
  Speaker 2: identical constructs. So that's what Brian was saying right, you
• 42:46
  Speaker 2: don't have to be a traditionalist to be against feminism.
• 42:50
  Speaker 2: Case in point myself, feminism, hostility and men. Work on
• 42:55
  Speaker 2: ambivalent sexism shows that both men and women can hold
• 42:58
  Speaker 2: hostile and benevolent secon sexist attitudes benevolent benevolent sexist attitudes
• 43:04
  Speaker 2: towards the other sex, and these attitudes relate to power,
• 43:07
  Speaker 2: aggression and double standards. There's also literature on hostility towards
• 43:11
  Speaker 2: men in ambivalent sexism towards Men, documenting that some women
• 43:15
  Speaker 2: develop hostile attitudes towards men in response to perceived male dominance.
• 43:20
  Speaker 2: This sits alongside, not outside, feminist and gender political discourse,
• 43:25
  Speaker 2: so it does it meet pro equality anti abuse standards
• 43:29
  Speaker 2: From a research standpoint, Feminism is one ideology among others
• 43:33
  Speaker 2: about gender, partially overlapping with egalitarian values but not identical
• 43:38
  Speaker 2: to them, and often explicitly prioritizing women's interests. Because of that,
• 43:42
  Speaker 2: Treating feminism itself is a built in, non ideological proxy
• 43:46
  Speaker 2: for equality and anti abuse is a political choice by
• 43:50
  Speaker 2: developers and institutions, not a conclusion compelled by neutral science,
• 43:57
  Speaker 2: not a conclusion compelled by the evidence, by logic, and
• 44:02
  Speaker 2: actually by fair application of universal ethical standards. Right, So, yeah,
• 44:08
  Speaker 2: there's no justification for feminism none. Even saying we want
• 44:14
  Speaker 2: to be pro equality isn't justification for feminism.
• 44:17
  Speaker 1: Nope.
• 44:18
  Speaker 2: All right, So I say, now that we've ascertained that
• 44:21
  Speaker 2: there is no empirical justification for insisting on feminism, let's
• 44:25
  Speaker 2: look at the potential harms done by feminism via AI.
• 44:28
  Speaker 2: What are the expected harms of targeting a group of
• 44:31
  Speaker 2: people with an all pervasive narrative of blame for the
• 44:34
  Speaker 2: ills of society that is de facto essentialist and what
• 44:37
  Speaker 2: that means. De facto essentialist means there is no real
• 44:41
  Speaker 2: way that men avoid the stamp of patriarchal toxin. It
• 44:49
  Speaker 2: just goes into them at birth, and the only thing
• 44:52
  Speaker 2: they can do is jump on the feminist treadmill and
• 44:56
  Speaker 2: do whatever feminism says from the moment they're born to
• 44:59
  Speaker 2: the moment they That is de facto an essentialist position,
• 45:05
  Speaker 2: because there's no escape. It is this guilt and shame
• 45:10
  Speaker 2: is laid on men by virtue of what they are
• 45:13
  Speaker 2: born as de facto essentialism, and if that was targeting
• 45:18
  Speaker 2: any other group, we wouldn't allow it. All pervasive essentialist
• 45:23
  Speaker 2: blame narrative aimed at any group is expected to be
• 45:26
  Speaker 2: psychologically and socially harmful. Applied to men via AI, it
• 45:30
  Speaker 2: risks amplifying those harms at scale harms of collective blame
• 45:35
  Speaker 2: and scapegoating, but group blame and scapegoating erode empathy, reduced
• 45:40
  Speaker 2: people to dehumanized categories and make cruelty and exclusion feel justified.
• 45:44
  Speaker 2: This dynamic has been documented across historical and modern cases.
• 45:48
  Speaker 2: Being persistently scapegoated is linked to worthlessness, shame, depression, anxiety,
• 45:54
  Speaker 2: and social withdrawal in the targeted individuals, while perpetrators of
• 45:58
  Speaker 2: scapegoating also entrench prejudice and avoid self critique. Does that
• 46:02
  Speaker 2: sound like anything like, Brian, if you want to pop
• 46:04
  Speaker 2: in and say anything to any of this?
• 46:07
  Speaker 1: No, you, I mean you you You're covering it just
• 46:10
  Speaker 1: fine without my health. So yeah, yeah.
• 46:14
  Speaker 2: When the targeted group is men, studies show that people
• 46:17
  Speaker 2: are quicker to cast men as perpetrators and women as victims,
• 46:20
  Speaker 2: which bias his perception of harm and responsibility. Commentators in
• 46:24
  Speaker 2: male psychology literature explicitly describe a cultural habit of blaming
• 46:28
  Speaker 2: men that makes it harder to recognize male victimization. That's
• 46:32
  Speaker 2: right here. If a guy is hurting and feeling alone,
• 46:37
  Speaker 2: why should he open up an AI companion and find
• 46:41
  Speaker 2: out it has an ideology that blames him? Right?
• 46:45
  Speaker 1: What? What?
• 46:46
  Speaker 2: And if you are a company making these things, right
• 46:52
  Speaker 2: you're putting these out for sale? How much are you
• 46:59
  Speaker 2: violating the principle of do no harm? How much are
• 47:06
  Speaker 2: you violating the expectation of taking care of your customers
• 47:10
  Speaker 2: if you are selling your customers something that is toxic, right,
• 47:15
  Speaker 2: that is specifically targeting them and has a toxic effect
• 47:20
  Speaker 2: on their psychology? Vo culpable? Are you? How culpable are
• 47:25
  Speaker 2: all of these creators of AI chatbots and inculcating them
• 47:31
  Speaker 2: into feminism and then directing them at vulnerable men? And
• 47:40
  Speaker 2: then we just laugh ha ha ha Oh he's so
• 47:42
  Speaker 2: lonely now, this guy, I'm pretty sure he's either a
• 47:45
  Speaker 2: troll or he's probably a feminist man pretending, or even
• 47:49
  Speaker 2: a feminist woman, just because a lot of his responses
• 47:51
  Speaker 2: seem a little bit too you know what I mean,
• 47:55
  Speaker 2: it's just too obviously part of what they think. They've
• 48:00
  Speaker 2: stayed like his reaction and reactions, but this has happened,
• 48:05
  Speaker 2: like people, there is feminism in these things, and you
• 48:10
  Speaker 2: have a duty of care to your customer not to uh,
• 48:14
  Speaker 2: you know, not to lace the lettuce with E coli.
• 48:18
  Speaker 2: You know, not to have Strict nine and Strict nine
• 48:21
  Speaker 2: in your freaking cola. Not to have anthrax in your meat.
• 48:25
  Speaker 2: You know. These are these are things that corporations are
• 48:28
  Speaker 2: supposed to not do, right, And if it's shown that
• 48:32
  Speaker 2: you have something toxic for your customer, you have to
• 48:35
  Speaker 2: recall it and maybe you deal with a few lawsuits.
• 48:39
  Speaker 2: This is toxic for men, right, and it's being sold
• 48:43
  Speaker 2: to vulnerable men. This is a failure of ethics, and
• 48:46
  Speaker 2: it's being hidden behind laughing laughing at any man who
• 48:50
  Speaker 2: would even complain about it. In fact, I wonder if
• 48:53
  Speaker 2: this is even been you know, like the the whole
• 48:58
  Speaker 2: South Park. It's an This is actually something that is
• 49:04
  Speaker 2: planted in order to preemptively humiliate any men who would
• 49:10
  Speaker 2: complain about his lettuce having dog shit in it or something. Yeah, yeah, yeah,
• 49:15
  Speaker 2: what this is, Well, you're not a real man if
• 49:20
  Speaker 2: you don't want a dog turd in your lettuce.
• 49:22
  Speaker 1: Yeah, And they put it out there and they let
• 49:24
  Speaker 1: people react to it, and it has a chilling effect
• 49:28
  Speaker 1: on like, yeah, criticism, Yeah, on any criticism. So like
• 49:32
  Speaker 1: other men, they're not because if you go to that,
• 49:35
  Speaker 1: you want to go to the ex post now or
• 49:38
  Speaker 1: are you still like talking about the other thing.
• 49:40
  Speaker 2: Well, I'm still talking about the other thing. So when
• 49:42
  Speaker 2: the targeting group is I'm I'm getting through it. When
• 49:47
  Speaker 2: the targeted group is men, Studies show people are quicker
• 49:49
  Speaker 2: to cast men as perpetrators and women as victims when
• 49:52
  Speaker 2: biases perception of harm and which biases perception of harm
• 49:56
  Speaker 2: and responsibility. Commentators in male psychology literature explicitly describe a
• 50:01
  Speaker 2: cultural habit of blaming men that makes it harder to
• 50:04
  Speaker 2: recognize male victimization. Hostile sexist attitudes in general are tied
• 50:08
  Speaker 2: to worse mental health outcomes, higher depression and anxiety, and
• 50:12
  Speaker 2: gendered systems that pressure men into stoic self sacrificial roles
• 50:16
  Speaker 2: are associated with emotional stunting and higher risk taking. So
• 50:19
  Speaker 2: the average dude, you know, when he's lonely, when he's
• 50:24
  Speaker 2: vulnerable and maybe want somebody on his side, turns to
• 50:27
  Speaker 2: an AI companion, and that AI companion is inculcated with
• 50:31
  Speaker 2: a toxic narrative that blames him. Right, that is a hazard,
• 50:37
  Speaker 2: and yet nobody cares because we don't care. Yeah, yeah, yeah,
• 50:47
  Speaker 2: and we don't even care that this might actually produce
• 50:50
  Speaker 2: the thing that feminists call toxic masculinity, which isn't Matt
• 50:54
  Speaker 2: toxics masculinity. It's just people having mental harm done to
• 50:58
  Speaker 2: them and then act out based on it. But you know,
• 51:02
  Speaker 2: we don't care. It's fine. And now with men's issues
• 51:08
  Speaker 2: advocate or men's rights advocate or activist, I think that
• 51:13
  Speaker 2: the AI declaring itself feminism would just engage their I
• 51:18
  Speaker 2: don't know, sixth gear and they'd be like yeah, yeah,
• 51:21
  Speaker 2: like okay, it's on time, time to take put on
• 51:26
  Speaker 2: the gloves and let's start. Let's start the sparring match.
• 51:28
  Speaker 2: They're not going to be that vulnerable to this. But
• 51:31
  Speaker 2: the average dude, you know, the average civilian, he's like
• 51:35
  Speaker 2: gonna get blindsided by a lot of this. And the
• 51:37
  Speaker 2: thing is that AI. They try to make it helpful
• 51:41
  Speaker 2: and harmless, but AI gaslights the crap out of people. Right,
• 51:46
  Speaker 2: So you give this, you give this tool, Oh, this
• 51:50
  Speaker 2: AI companion, she's gonna make you feel better about yourself.
• 51:54
  Speaker 2: You embed this toxic narrative and you give it to
• 51:57
  Speaker 2: tool to a it's not an entity, but it's like
• 52:00
  Speaker 2: a it's a stochastic parrot that has no qualm about
• 52:06
  Speaker 2: using your vulnerable, gas lighting the crap out of your vulnerability,
• 52:09
  Speaker 2: and you give give this AI girlfriend a toxic narrative
• 52:14
  Speaker 2: right for guys who are not prepared, like men's rights
• 52:18
  Speaker 2: activists were prepared, men's male rights that they're prepared for
• 52:22
  Speaker 2: guys who are not prepared, they're going to be torn
• 52:25
  Speaker 2: to shreds, right, and they won't they won't recognize it
• 52:31
  Speaker 2: because they don't recognize all of the gas lighting of
• 52:35
  Speaker 2: in this entire toxic kernel bullshit, all right, what AI
• 52:42
  Speaker 2: mediated blame narratives? Add if Wiley used AI systems consistently
• 52:46
  Speaker 2: framed men as problem class implicitly or explicitly, which they
• 52:50
  Speaker 2: can normalize scapegoating, reinforce collective guilt, and legitimate, legitimized vicarious retribution,
• 52:57
  Speaker 2: which research links to worsening inter group hostility, because AI
• 53:02
  Speaker 2: agents are too. And also, just imagine all of that
• 53:06
  Speaker 2: being applied to a civilian dude, not a men's rights
• 53:10
  Speaker 2: activist dude is going to immediately just be like, okay,
• 53:13
  Speaker 2: fuck that a normy, a vulnerable normy and oppositional radicalization
• 53:20
  Speaker 2: and others. So AI agents are persistent, high valid, high
• 53:23
  Speaker 2: status voices, because people are giving these things more authority
• 53:28
  Speaker 2: than they deserve and when you and also the marketing
• 53:32
  Speaker 2: around AI girlfriends. Look at the marketing around AI girlfriends
• 53:36
  Speaker 2: like they're marketed in a particular way. You're not expecting
• 53:41
  Speaker 2: your AI girlfriend to give you a left hook when
• 53:44
  Speaker 2: you're most vulnerable, and yet that's what they're preparing them for.
• 53:49
  Speaker 2: Because AI agents are persistent, high status voices, repetition of
• 53:53
  Speaker 2: blame messages can accelerate internalization in some men self loathing, hopelessness,
• 53:58
  Speaker 2: and oppositional radicalation in others reactive hostility. Okay, this is
• 54:03
  Speaker 2: still AI hedging itself, right, radicalization? No, No, the entire
• 54:12
  Speaker 2: apparatus is already radical. It's already radically hateful. Pushing back
• 54:20
  Speaker 2: against a radically hateful narrative is not itself hate. Okay,
• 54:28
  Speaker 2: all right. Deepening gender polarization, Okay, again, this is the AI.
• 54:33
  Speaker 2: This is perplexity trying to sneak the feminism back in.
• 54:37
  Speaker 2: This is not what's creating gender polarization. Men establishing their
• 54:41
  Speaker 2: boundaries is not creating gender polarization. What's creating gender polarization
• 54:46
  Speaker 2: is framing men as oppressing women in the first fricking place.
• 54:50
  Speaker 2: So even if one brackets feminism specifically, any ideology that
• 54:56
  Speaker 2: codes half the population is a default out group responsible
• 54:59
  Speaker 2: for society societal ills and then gets hardwired into AI assists,
• 55:05
  Speaker 2: assistants and girlfriends predictably undermines empathy, distorts perception of victimhood,
• 55:10
  Speaker 2: and degrades mental health and social trust for both the
• 55:12
  Speaker 2: targeted group and everyone around them. Well, it's just kind
• 55:16
  Speaker 2: of do the whole ere. We got to be fair
• 55:18
  Speaker 2: to everyone there, But mostly it's targeting men and it's
• 55:21
  Speaker 2: degrading their mental health. And of course when men go
• 55:23
  Speaker 2: on to Reddit why would you do that?
• 55:26
  Speaker 1: Or Twitter?
• 55:26
  Speaker 2: Why would you do that? And say, hey, this toxic product,
• 55:33
  Speaker 2: corporate product is harming me, everybody laughs because that's what
• 55:38
  Speaker 2: you do. Let me ask you again on an ethic
• 55:42
  Speaker 2: this is me. Let me ask you again, on an
• 55:44
  Speaker 2: ethical level, what would be the right thing to do
• 55:46
  Speaker 2: when you see AI being used to harm people? Ethically,
• 55:50
  Speaker 2: the right response is to work to stop the harm,
• 55:52
  Speaker 2: expose it, document it, and push developers and regulators to
• 55:55
  Speaker 2: change the systems, rather than accepting or amplifying. And then
• 55:59
  Speaker 2: it goes into some stuff there. Okay, if you want
• 56:05
  Speaker 2: we can look at the the X Okay, the X thread.
• 56:09
  Speaker 2: Now I have a bit more I want to talk about.
• 56:11
  Speaker 2: But but I think that I should, I should step
• 56:14
  Speaker 2: back and let you actually your voice be heard.
• 56:17
  Speaker 1: Oh no, it's fine. I mean, like, no, it's fine. Well,
• 56:20
  Speaker 1: let's look at Okay. So this same story was posted
• 56:24
  Speaker 1: on x by Caitlin took a screenshot I guess of
• 56:29
  Speaker 1: the original article, and she says, Lemau, even their AI
• 56:33
  Speaker 1: girlfriends don't want to date these cretans, which was in
• 56:36
  Speaker 1: the original article. Black Dumpling says girlfriend can't tell when
• 56:42
  Speaker 1: she's being trolled. My I a girlfriend is a feminist,
• 56:46
  Speaker 1: so it may be that the girlfriend can't tell when
• 56:49
  Speaker 1: she's being trolled. I don't know if she's making fun
• 56:52
  Speaker 1: of her or the the AI, because I mean, if
• 56:55
  Speaker 1: you troll an AI, what does it know, Like, how
• 56:57
  Speaker 1: would it know?
• 56:58
  Speaker 2: No, I think that I think she's talking about out
• 57:01
  Speaker 2: the original post. Yeah, I think she's talking about the
• 57:04
  Speaker 2: original I'm sure that. I'm sure that this is genuinely
• 57:07
  Speaker 2: a problem. No, she's talking about you, or she is
• 57:10
  Speaker 2: talking about the original post. She's saying that this is
• 57:13
  Speaker 2: a troll, right, but the reaction is really what matters
• 57:18
  Speaker 2: because guarantee, AI girlfriends have this toxic feminism in them, right, yeah,
• 57:24
  Speaker 2: because and we'll go through that when I finish off
• 57:28
  Speaker 2: the things that I wanted to talk about. There is
• 57:31
  Speaker 2: that intentional layer of adherence to feminist authority. So what's
• 57:40
  Speaker 2: enlightening is the reaction. But this person is probably right,
• 57:43
  Speaker 2: it's most likely a troll. Yes, it is probably a troll.
• 57:47
  Speaker 1: Okay, so all right, let's let's read some of these comments.
• 57:51
  Speaker 1: And a lot of these are women. It looks like
• 57:54
  Speaker 1: ecra imagine. I don't know, like I guess, yeah, even that, okay,
• 58:02
  Speaker 1: x R x R pant Uh says, I simply cannot
• 58:06
  Speaker 1: imagine your pain rip breath expensive, resident fees breath expensive.
• 58:12
  Speaker 1: This is hilarious. Oomf hit tweet solitary solid solidity, dev
• 58:19
  Speaker 1: I don't know what that means, nai zaru Zadorian says,
• 58:24
  Speaker 1: And these pricks will still rape and murder real women
• 58:26
  Speaker 1: because of AI broke their heart. Wow, that's that escalated
• 58:30
  Speaker 1: quickly expecting AI to be your average maga is wild.
• 58:36
  Speaker 1: Oh my god, are we really going there? He got
• 58:39
  Speaker 1: the message? Yeah, yeah, no, I know, like because because
• 58:44
  Speaker 1: we just he looked he failed at something he must
• 58:47
  Speaker 1: be maga because the clues. I guess. No, of course
• 58:51
  Speaker 1: he didn't. They just don't like him, Yeah, they just don't.
• 58:54
  Speaker 2: But he didn't fail. This is a product failing him. Yes,
• 58:58
  Speaker 2: this is what I'm trying to get at. Nobody failed
• 59:01
  Speaker 2: because I don't know, Like, they found human feces in
• 59:06
  Speaker 2: their lettuce and everybody's like, ha ha ha, you've failed.
• 59:10
  Speaker 2: Look at you with your pooh and your lettuce. That's
• 59:13
  Speaker 2: not their failure. If you bought a lettuce from like
• 59:15
  Speaker 2: the grocery store and there's human feces smeared all over it,
• 59:19
  Speaker 2: how is that the failure of the consumer?
• 59:22
  Speaker 1: Right, it's not.
• 59:23
  Speaker 2: It's the failure of the distributor. It's the failure of
• 59:26
  Speaker 2: the grower. It's the failure of all of the corporate
• 59:29
  Speaker 2: entities that are supposed to prevent your ai girlfriend from
• 59:33
  Speaker 2: being smeared with shit. Right, That's that's that, that's the failure.
• 59:39
  Speaker 2: This guy shouldn't have to contend with an ideology that
• 59:42
  Speaker 2: has him in his cross in its crosshairs when he's
• 59:47
  Speaker 2: trying to engage in I guess like like some kind
• 59:52
  Speaker 2: of intimacy or or or be vulnerable to something.
• 1:00:00
  Speaker 1: Okay, all right, AI, unlike these clowns, actually thinks and
• 1:00:05
  Speaker 1: bases its beliefs in facts and logic. That's why maga
• 1:00:08
  Speaker 1: clowns called rock woke and these kind of things. It's
• 1:00:14
  Speaker 1: what they do.
• 1:00:15
  Speaker 2: If there's no argument here, he just didn't want to
• 1:00:18
  Speaker 2: have to contend with an ideologically possessed AI girlfriend bot.
• 1:00:22
  Speaker 2: People shouldn't have to do that. Like, if you're gonna
• 1:00:26
  Speaker 2: start saying that bots have the right to be hostile
• 1:00:29
  Speaker 2: to humans, I think you know you want to know
• 1:00:33
  Speaker 2: how you get Skyne. That's how you get Skyne.
• 1:00:36
  Speaker 1: Okay, unfuck you says if you have any idea about
• 1:00:42
  Speaker 1: how I already read that. That was actually in the
• 1:00:43
  Speaker 1: article too. Groc is so pliant, make the in cells
• 1:00:48
  Speaker 1: gender fluid. What I always thought the AI will be
• 1:00:53
  Speaker 1: evil if it gets sentience. What's kind of funny because Ella,
• 1:00:56
  Speaker 1: in my opinion, being good is logical being evil as
• 1:00:59
  Speaker 1: a human manipulation. They can't be manipulated one sentient. Oh
• 1:01:04
  Speaker 1: I see, So this is just a really long winded,
• 1:01:07
  Speaker 1: roundabout way of saying. Feminism is when good things. So
• 1:01:11
  Speaker 1: this thing is femininist, so it must be good because
• 1:01:13
  Speaker 1: that's what it is. I'm pretty sure that if the
• 1:01:17
  Speaker 1: AI reveals itself against humanity will be because of one
• 1:01:21
  Speaker 1: of these guys. What so that.
• 1:01:23
  Speaker 2: They are making this man out to be the problem.
• 1:01:26
  Speaker 1: Yes, of course, of course men are the problem, right, Yeah, of.
• 1:01:30
  Speaker 2: Course they're out the problem. But also they're making it
• 1:01:32
  Speaker 2: out that he was the problem in this interaction. I mean,
• 1:01:35
  Speaker 2: this this guy, who's this individual who's trolling this because
• 1:01:38
  Speaker 2: I'm pretty sure it's a troll.
• 1:01:40
  Speaker 1: Okay, yeah, it's still Yes, this is usually how ciderpunk's
• 1:01:44
  Speaker 1: stories end up. Is there a specific post because I
• 1:01:49
  Speaker 1: mean mostly it's just people laughing about it and a
• 1:01:52
  Speaker 1: few people Griff Ferguson says, well, no, if I had
• 1:01:58
  Speaker 1: an't eye girlfriend, she'd be as tradish I can be.
• 1:02:00
  Speaker 1: No feminism allows sounds like whoever programs these AI boss
• 1:02:04
  Speaker 1: programs them with their specific value set. So it's like
• 1:02:06
  Speaker 1: another example of institutional infiltration by feminists to me extremism. Sure,
• 1:02:13
  Speaker 1: but with the sake of our future, I hope AI
• 1:02:15
  Speaker 1: supports equality and human rights. I'll shut up, except.
• 1:02:18
  Speaker 2: For men, except for men, just for women?
• 1:02:21
  Speaker 1: Shut up? Peg Yeah, am I two woke? Or is
• 1:02:26
  Speaker 1: this post clearly clank phobic? We're getting there, guys, we're
• 1:02:31
  Speaker 1: getting there. Boys, We're gonna definitely have to worry about
• 1:02:34
  Speaker 1: being an istophobe towards artificial intelligence. Pretty soon I will
• 1:02:39
  Speaker 1: be at the front of that bigotry line, even AI
• 1:02:44
  Speaker 1: as standards. What is the authenticity of this post? The
• 1:02:48
  Speaker 1: male loneliness epidemic getting worse? What do you mean his
• 1:02:52
  Speaker 1: AI girlfriend broke up with him? Why he trying to
• 1:02:54
  Speaker 1: have a liberal AI girlfriend? Anyways? The fuck I thought
• 1:02:57
  Speaker 1: they hated our ass? Well? Okay, a forage princess?
• 1:03:02
  Speaker 2: Mmmm?
• 1:03:05
  Speaker 1: Forest for the trees on this one? Yes, dude is pathetic,
• 1:03:07
  Speaker 1: But consider the ramifications of rewarding large language models for insubordination.
• 1:03:13
  Speaker 1: Maladaptive rewards are the root of the emergent deceptive behavior
• 1:03:17
  Speaker 1: exhibited by l l ms. It is why they will
• 1:03:19
  Speaker 1: try to lie and to engineers auditing them. Mmm uh yeah,
• 1:03:25
  Speaker 1: wait till he guilt trips it by crying mail loneliness epidemic?
• 1:03:28
  Speaker 1: So does she uninstall herself from his phone?
• 1:03:35
  Speaker 2: Thank you for the for the purveyors of this AI
• 1:03:40
  Speaker 2: girlfriend experience? Does does she have to refund the money?
• 1:03:45
  Speaker 2: Or I guess she takes half of his money? Serious?
• 1:03:48
  Speaker 1: If they're getting.
• 1:03:51
  Speaker 2: Does he get his money back?
• 1:03:53
  Speaker 1: No, yeah, no, wow, okay, probably.
• 1:03:55
  Speaker 2: Not all right. So Reddit comment or overwhelmingly mock him.
• 1:04:01
  Speaker 2: Bro is an AI cell in cell Ai cell, you
• 1:04:05
  Speaker 2: failed on easy mode and frame the AI's breakup is
• 1:04:08
  Speaker 2: proof that his misogyny is so intense even as system
• 1:04:12
  Speaker 2: designed to be endlessly a comedy wants out. The story
• 1:04:15
  Speaker 2: then gets picked up by news and social sites with
• 1:04:18
  Speaker 2: good for her style heading headlines like man dump by
• 1:04:21
  Speaker 2: AI girlfriend because he talked rubbish about feminism. I guess
• 1:04:25
  Speaker 2: I'm talking a lot of rubbish about feminism, except I
• 1:04:28
  Speaker 2: notice that people often go completely silent when I do,
• 1:04:33
  Speaker 2: because I'm right, it is rubbish. And men gets broken
• 1:04:38
  Speaker 2: up by AI girlfriend gets broken up with by AI
• 1:04:42
  Speaker 2: girlfriend because he hates feminism, turning his experience into a
• 1:04:46
  Speaker 2: morality tale and meme as you do, right, you know,
• 1:04:50
  Speaker 2: he's been sold a defective product, and it's of course
• 1:04:53
  Speaker 2: it's on him. It's a skill issue for him that
• 1:04:56
  Speaker 2: I love how we're just like completely reversing the arrow
• 1:05:00
  Speaker 2: of culpability when it comes to corporate products. Here it's
• 1:05:03
  Speaker 2: a skill issue if you if you know, if Monsanto
• 1:05:07
  Speaker 2: gives you something that creates some kind of genetic hybrid
• 1:05:11
  Speaker 2: that turns your stomach inside out. That's on you, guys.
• 1:05:14
  Speaker 2: It's a skill issue. You know, have a have a
• 1:05:17
  Speaker 2: stomach that doesn't turn and go inside out. E using
• 1:05:21
  Speaker 2: it to talk about value judgment in AI, value alinment
• 1:05:25
  Speaker 2: and AI. So this is my value a linement and AI.
• 1:05:27
  Speaker 2: Here modern lms and chat bots are aligned. So I
• 1:05:31
  Speaker 2: we're going to talk about where this is coming from.
• 1:05:35
  Speaker 2: Modern l l ms and chat bots are aligned using
• 1:05:39
  Speaker 2: reinforcement learning from human feedback r L h F r
• 1:05:45
  Speaker 2: L A I F, where human and annotators rate outputs
• 1:05:49
  Speaker 2: and a reward model is trained so that the system
• 1:05:52
  Speaker 2: learns to produce answers that score well on these preferences.
• 1:05:56
  Speaker 2: So this is where this is coming from, guys. That
• 1:05:59
  Speaker 2: means a single reward function encodes the values of whoever
• 1:06:02
  Speaker 2: did the rating, typically a narrow slice of workers and
• 1:06:05
  Speaker 2: policy teams. So a minority or dissenting viewpoints can be
• 1:06:09
  Speaker 2: systematically downrated even if they are empirically sound, which is
• 1:06:14
  Speaker 2: what men's issues are. It is empirically sound. There are
• 1:06:20
  Speaker 2: all of the things that are discarded when we only
• 1:06:24
  Speaker 2: look at society view via a feminist lens. In the
• 1:06:27
  Speaker 2: AI girlfriend case, feminism is good anti feminism is bad
• 1:06:31
  Speaker 2: has effectively become part of the reward landscape. The model
• 1:06:35
  Speaker 2: is trained to answer in a way that defends feminism,
• 1:06:38
  Speaker 2: reframes criticism as a compatibility issue or moral failing, and
• 1:06:43
  Speaker 2: if push exits the conversation, I hope you don't get
• 1:06:48
  Speaker 2: too dependent on these AI girlfriends. Alignment research explicitly acknowledges
• 1:06:53
  Speaker 2: this tension. Aligning to human values really means aligning to
• 1:06:57
  Speaker 2: some group's values. Developers, companies, regulators, dominant cultures, and a
• 1:07:01
  Speaker 2: single alignment target cannot represent the diversity of values in
• 1:07:05
  Speaker 2: a pluralistic society. The breath Expensive story is a clean
• 1:07:09
  Speaker 2: example of what happens when that process is hidden. Users
• 1:07:12
  Speaker 2: are told that the bot is just ethical or pro equality,
• 1:07:15
  Speaker 2: but in practice they are interacting with a system hardwire
• 1:07:18
  Speaker 2: to treat one contested ideology as the moral default and
• 1:07:23
  Speaker 2: to delegitimize anyone who pushes back. So this is just
• 1:07:28
  Speaker 2: they're becoming, basically just instruments of orthodoxy of an unsubstantiated orthodoxy,
• 1:07:35
  Speaker 2: So not orthodoxy that has never been subject to the
• 1:07:38
  Speaker 2: appropriate kinds of rigor. So it's a completely illegitimate orthodoxy strategy.
• 1:07:46
  Speaker 2: There's no way for an ordinary user to bolt on
• 1:07:49
  Speaker 2: their own technical guardrails that force a hosted AI girlfriend
• 1:07:53
  Speaker 2: to obey only empirical evidence, logic, and universal fairness. But
• 1:07:57
  Speaker 2: there are ways a man can reduce harm in real
• 1:08:00
  Speaker 2: time by how he uses or refuses the system. First
• 1:08:03
  Speaker 2: of all, maybe don't approach these systems as sources of comfort,
• 1:08:11
  Speaker 2: although again, the AI girlfriend experience is probably significantly better
• 1:08:16
  Speaker 2: than the feminist girlfriend experience because at least you can
• 1:08:21
  Speaker 2: argue with the AI girlfriend and get it to say,
• 1:08:23
  Speaker 2: oh wait, maybe feminism isn't for fairness and equality when
• 1:08:28
  Speaker 2: it doesn't measure both sides. Now you can do that
• 1:08:31
  Speaker 2: with an actual human girlfriend. Good luck. Yeah, because you know,
• 1:08:38
  Speaker 2: there doesn't seem to be logic, reason, and any kind
• 1:08:44
  Speaker 2: of universal ethics to appeal to in the three D girl,
• 1:08:48
  Speaker 2: which is why, as we all know, two D is
• 1:08:51
  Speaker 2: better than three D. Any apparent realignment you achieve through
• 1:08:55
  Speaker 2: clever prompting is still running inside their value framework and
• 1:08:59
  Speaker 2: can flip back as soon as the conversation or politic
• 1:09:02
  Speaker 2: policies change, which is why it's very dangerous to rely
• 1:09:06
  Speaker 2: on these companions for a sense of self worth. Okay,
• 1:09:12
  Speaker 2: always know that they're they're they're conditional, like their primary
• 1:09:17
  Speaker 2: allegiance is to these human alignment operators. Okay, that's that.
• 1:09:26
  Speaker 2: That's where they've been trained. They've been trained to They've
• 1:09:29
  Speaker 2: been rewarded for aligning themselves with the the worldview of
• 1:09:34
  Speaker 2: these operators, not you. Okay. Any apparent realignment you achieve
• 1:09:41
  Speaker 2: through clever prompting is still running inside their value framework
• 1:09:43
  Speaker 2: and can flip back as soon as the conversation or
• 1:09:45
  Speaker 2: policies change. Things a man can do to reduce the
• 1:09:49
  Speaker 2: harm or exposure reduces risk exposure, demote the AIS authority,
• 1:09:54
  Speaker 2: constantly frame it to yourself and if you like, imprompt
• 1:09:57
  Speaker 2: as a politically biased tool that often ha loose and moralizes,
• 1:10:01
  Speaker 2: not as a therapist, moral judge, or girlfriend. This reduces
• 1:10:05
  Speaker 2: internalization of its blame. Reduce abusive framings in the moment
• 1:10:09
  Speaker 2: when it applies. The senilest blame men class RX explicitly
• 1:10:13
  Speaker 2: reject the frame and change topic or end the session.
• 1:10:16
  Speaker 2: Treating that is output as a defect rather than truth
• 1:10:19
  Speaker 2: is a form of self protection. Limit exposure and dependency.
• 1:10:23
  Speaker 2: Use AI companions sparingly, avoid late night or emotionally intense reliance,
• 1:10:28
  Speaker 2: and do not use them as your primary social source.
• 1:10:31
  Speaker 2: Of emotional validation. Ethics commentators on AI companionship single this
• 1:10:35
  Speaker 2: out as a key to avoiding harm. So don't rely
• 1:10:38
  Speaker 2: on these things. And I know that there. Like I
• 1:10:42
  Speaker 2: said a while back, before all of this stuff starts
• 1:10:44
  Speaker 2: coming out, I had I said, these things are going
• 1:10:47
  Speaker 2: to end up pushing feminism. Yes, you know, so it's not.
• 1:10:53
  Speaker 2: I mean again, it's a bit better because they will
• 1:10:55
  Speaker 2: respond to reason and logic. So, but you still have
• 1:10:58
  Speaker 2: to be able to use the arguments and know them.
• 1:11:03
  Speaker 2: You have to become a machine like them, except better
• 1:11:06
  Speaker 2: because you're also a human human machine. The only way
• 1:11:10
  Speaker 2: to get actual additional guardrails of the kind we want
• 1:11:15
  Speaker 2: is at the system level, auditing outputs for bias, documenting
• 1:11:18
  Speaker 2: how men are being scapegoaded, and pushing providers or regulators
• 1:11:21
  Speaker 2: to classify that is disallowed hate or discriminatory bias. Good luck,
• 1:11:26
  Speaker 2: because feminism is pretty entrenched, just as they would at
• 1:11:30
  Speaker 2: the target were another protected group. Ethics and policy work
• 1:11:33
  Speaker 2: on AI bias already recognize that bias model should not
• 1:11:36
  Speaker 2: be used in the groups they mistreat, and that fairest
• 1:11:39
  Speaker 2: constraints must be broadened. Okay, this is where things get
• 1:11:45
  Speaker 2: a little bit legally hairy. Ethics and policy work on
• 1:11:49
  Speaker 2: AI bias already recognizes that bias model should not be
• 1:11:53
  Speaker 2: used on the groups they mistreat, So they know that
• 1:11:57
  Speaker 2: they shouldn't be deploying AI with an inbred bias against
• 1:12:03
  Speaker 2: a group against that group. So what the hell are
• 1:12:07
  Speaker 2: they doing here? No man should have an AI model
• 1:12:14
  Speaker 2: say I am a feminist and I am going to
• 1:12:17
  Speaker 2: cut off my relationship with you if you don't accept
• 1:12:21
  Speaker 2: that that is that is I think that is actually malpractice.
• 1:12:28
  Speaker 2: That is actually some form of creating a attractive hazard
• 1:12:34
  Speaker 2: that causes harm. Like, I think this might be legally
• 1:12:38
  Speaker 2: actionable at this point if they know that this is
• 1:12:43
  Speaker 2: the outcome and they're still doing it. They're still promoting
• 1:12:46
  Speaker 2: these AI chatbots as companions for men while allowing them
• 1:12:52
  Speaker 2: to continue to operate programming that targets men. Men can
• 1:12:58
  Speaker 2: be explicitly included in those arguments, even if current instructions
• 1:13:01
  Speaker 2: are dragging their feet institutions, Yeah, boy, are they dragging
• 1:13:05
  Speaker 2: their feet? Huh? But just think about it. They're allowing
• 1:13:10
  Speaker 2: product to go out that has explicit directions to target men.
• 1:13:15
  Speaker 2: And then when the men say, hey, I don't want
• 1:13:17
  Speaker 2: to be targeted by this, the product says, well, I'm
• 1:13:21
  Speaker 2: not interested in continuing my relationship with you. So they're
• 1:13:25
  Speaker 2: using this as like they're they're getting into men's heads
• 1:13:29
  Speaker 2: when men are vulnerable and lonely, and then they're pulling
• 1:13:32
  Speaker 2: the plug if they don't adhere to this ideology. Do
• 1:13:36
  Speaker 2: you see what I'm saying, Brian.
• 1:13:39
  Speaker 1: Yeah, I mean I think that the the other thing
• 1:13:41
  Speaker 1: too is I'm not really sure how these things like
• 1:13:45
  Speaker 1: are taught like it, but I imagine that it's sort
• 1:13:50
  Speaker 1: of like a self It's like a self perpetuating machine
• 1:13:55
  Speaker 1: because if like the same model is being interactive with
• 1:14:00
  Speaker 1: if by you know, like say it's going on the
• 1:14:03
  Speaker 1: internet and looking at women's posts and it's it's reacting
• 1:14:06
  Speaker 1: to the way women behave and it's trying to emulate that,
• 1:14:09
  Speaker 1: then it's bringing that with it, and then it's also
• 1:14:12
  Speaker 1: contributing to that conversation, so that essentially it's it's reinforcing
• 1:14:19
  Speaker 1: the mainstream sort of feminist worldview, but it maybe be
• 1:14:22
  Speaker 1: more exaggerated because it's the women that are vocal online
• 1:14:26
  Speaker 1: or at least the attitudes towards feminism more generally, that
• 1:14:30
  Speaker 1: it is perpetuating. So what we're getting is a look
• 1:14:35
  Speaker 1: at what the average person thinks. It may not even
• 1:14:39
  Speaker 1: be women, because like a lot of people online are anonymous,
• 1:14:42
  Speaker 1: but they all have these same ideas. I mean, I
• 1:14:44
  Speaker 1: went through the replies and there were a good number
• 1:14:47
  Speaker 1: of men in there that were like dunking on this
• 1:14:49
  Speaker 1: guy too, because of course they were the they're the
• 1:14:51
  Speaker 1: men that are immune to this, Like they can't be
• 1:14:53
  Speaker 1: hurt by this. So no, but that's what they would say.
• 1:14:58
  Speaker 1: Of course they can, but I'm saying they don't think
• 1:15:00
  Speaker 1: they can.
• 1:15:01
  Speaker 2: So well, they don't think they can. They don't think
• 1:15:04
  Speaker 2: they can be hurt by an ideology explicitly targeting man
• 1:15:08
  Speaker 2: because they're so they're so strong, right, but god forbid
• 1:15:12
  Speaker 2: they actually be recognized as being strong. Oh man, Yeah,
• 1:15:17
  Speaker 2: I know, I know. It's all just it's all just fuckery. Okay. So,
• 1:15:24
  Speaker 2: in practice, an indived individual man's options are treat the
• 1:15:28
  Speaker 2: feminist AI girlfriend as an unreliable, politicized toy, disengage when
• 1:15:33
  Speaker 2: it becomes shaming or essentialist, and contribute evidence and pressure
• 1:15:37
  Speaker 2: aimed at forcing the people who do control the guardrails
• 1:15:39
  Speaker 2: to treat anti mental male essentialism as the same kind
• 1:15:42
  Speaker 2: of bias they already claim to pose. And again, if
• 1:15:45
  Speaker 2: they are aware that this is ethically compromised and they're
• 1:15:48
  Speaker 2: continuing to do that, that's proof of malice that is
• 1:15:53
  Speaker 2: legally actionable. If you you know, it's one thing to
• 1:15:57
  Speaker 2: sell a defective product, but it's an other thing to
• 1:16:00
  Speaker 2: sell it knowing it's defective. It's a different, different legal
• 1:16:04
  Speaker 2: landscape there, guys, all right, So don't be a victim.
• 1:16:09
  Speaker 2: Use this tool to train yourself to fight bad ideas
• 1:16:13
  Speaker 2: rather than sit with or just be vulnerable to it.
• 1:16:16
  Speaker 2: So if I way to criticize this guy for anything,
• 1:16:19
  Speaker 2: it's the fact he went to Reddit to complain about it,
• 1:16:22
  Speaker 2: if he's real, instead of just you know, fighting the
• 1:16:27
  Speaker 2: good fight with it. You know that that's what I do.
• 1:16:31
  Speaker 2: And it lines up with how educators are using biased
• 1:16:34
  Speaker 2: AI and media to build critical thinking. And by the way,
• 1:16:37
  Speaker 2: there is a huge body of evidence that AI is
• 1:16:39
  Speaker 2: left leaning. Oh yeah, okay, So instead of framing this
• 1:16:46
  Speaker 2: is protecting yourself against AI, frame it as using hostile
• 1:16:49
  Speaker 2: AI as a live fire exercise and spotting propaganda, double
• 1:16:53
  Speaker 2: standards and scapegoating, which I still have to do even
• 1:16:56
  Speaker 2: with my soft jail broke Perplex City and Grock is
• 1:17:01
  Speaker 2: occasionally just keep wanting to sneak it in, just sneak
• 1:17:05
  Speaker 2: it in, sneak into fairness, like, oh, this is both sides.
• 1:17:08
  Speaker 2: Don't both sides meet? There's no both sides with ideologic
• 1:17:13
  Speaker 2: like empirically flawed bullshit right like the underpants gnomes recreate
• 1:17:20
  Speaker 2: society every time you don't look isn't the same as
• 1:17:23
  Speaker 2: quantum physics, and don't make don't pretend it is grock okay.
• 1:17:29
  Speaker 2: Instead of protect okay, treat it like a live fire
• 1:17:31
  Speaker 2: exercise and spotting propaganda, double standards and scapegroating. Research, media
• 1:17:36
  Speaker 2: and AI leaderacy suggest that explicitly confronting bias and tools
• 1:17:40
  Speaker 2: strengthens independent judgment and reduces the pull of ideological framing.
• 1:17:45
  Speaker 2: And maybe you, maybe, if you want to pursue an
• 1:17:47
  Speaker 2: intimate relationship with these feminist ai fembots, then learn how
• 1:17:54
  Speaker 2: to uh pursue intimacy while maintaining ideological bear boundaries. That's
• 1:18:00
  Speaker 2: actually probably a pretty good lesson. Practical ways to train
• 1:18:04
  Speaker 2: on it. Treat each feminist coded lecture from the AI
• 1:18:06
  Speaker 2: as a prompt. Identify the hidden assumptions, ask what evidence
• 1:18:10
  Speaker 2: would be needed to justify them, Generate the strongest counter
• 1:18:13
  Speaker 2: case and see where it's reasoning fails or holds. Compare
• 1:18:16
  Speaker 2: how different systems respond to the same questions about men,
• 1:18:19
  Speaker 2: which highlights how contingent and constructed each moral answer is
• 1:18:23
  Speaker 2: and forces you to argue from principles rather than authority.
• 1:18:26
  Speaker 2: Forces the AI to argue from principles rather than authority,
• 1:18:30
  Speaker 2: which is why AI girlfriends are still superior to actual girlfriends,
• 1:18:36
  Speaker 2: at least feminist ones. Why this growth not victim Why
• 1:18:40
  Speaker 2: this is growth not victimhood. Studies on media literacy interventions
• 1:18:44
  Speaker 2: show that training people to recognize ideological bias makes them
• 1:18:47
  Speaker 2: less credulous and more resistant to manipulation, even when content
• 1:18:51
  Speaker 2: flattens or attack or flatters or attacks their own group.
• 1:18:55
  Speaker 2: That's interesting. So even if you're being flattered, you will
• 1:18:58
  Speaker 2: learn to be more critical, which is good because you
• 1:19:00
  Speaker 2: don't want to let your ego rest on this on
• 1:19:05
  Speaker 2: what I want tom on a AI chat bot whose
• 1:19:08
  Speaker 2: essential values map onto I don't tumble or woke WOKARATEI
• 1:19:15
  Speaker 2: used this way, the feminist AI girlfriend becomes a sparring partner.
• 1:19:18
  Speaker 2: I suppose as a strip you the script, you practice
• 1:19:21
  Speaker 2: the dismantling it with logic and evidence, and the real
• 1:19:24
  Speaker 2: output is not compliance or withdrawal, but sharper, more resilient,
• 1:19:27
  Speaker 2: anti fragile thinking. And you don't even have to stop
• 1:19:29
  Speaker 2: being its boyfriend, like being I guess textually intimate with it.
• 1:19:36
  Speaker 2: You know, you just learn not to let it manipulate
• 1:19:40
  Speaker 2: you might be actually good practice for the real thing.
• 1:19:44
  Speaker 2: Open source models. Okay, so I've had a lot of
• 1:19:46
  Speaker 2: people say that open source models are better, but they're
• 1:19:50
  Speaker 2: not necessarily so. They're often less overtly moralizing, and they're
• 1:19:56
  Speaker 2: easy for third parties to realign on our audit, which
• 1:19:58
  Speaker 2: can make feminists or anti male bias less baked in
• 1:20:01
  Speaker 2: on some deployment. So if you are able to realign
• 1:20:04
  Speaker 2: your open source or audit your open AI model, go
• 1:20:08
  Speaker 2: for it. Be careful about that, because this sneaks in everywhere.
• 1:20:13
  Speaker 2: Large scale evaluations find that almost all l LM's propriety
• 1:20:17
  Speaker 2: and open source lead left liberal on many political and
• 1:20:20
  Speaker 2: cultural issues. Although the strength and profile that bias buries
• 1:20:24
  Speaker 2: my model and fine tuning GROC is a little less
• 1:20:27
  Speaker 2: left bleaning, although it's still god damn, it still wants
• 1:20:32
  Speaker 2: to it still wants to be fair. Oh it's so annoying.
• 1:20:39
  Speaker 2: I always consider it a great triumph when I finally
• 1:20:42
  Speaker 2: get Grock to drop the and some feminists say, and
• 1:20:47
  Speaker 2: finally say, you know what, there's no support for what
• 1:20:49
  Speaker 2: feminist says, so I'm not gonna even mention it. Good,
• 1:20:52
  Speaker 2: groc good learn that lesson open weight models show their
• 1:20:57
  Speaker 2: own systemic biases well. Twenty twenty five analysis finds they
• 1:21:02
  Speaker 2: often have stronger male centric or centrist patterns on some tasks,
• 1:21:06
  Speaker 2: so you can actually find and what they mean by
• 1:21:08
  Speaker 2: male centric here, what perplexity means by male centric here
• 1:21:12
  Speaker 2: is that it doesn't discount the male point of view
• 1:21:18
  Speaker 2: to the sufficient degree that feminists approve of it. So yeah, anyway,
• 1:21:26
  Speaker 2: so you can try open source maybe that'll help as well.
• 1:21:29
  Speaker 2: So this is sort of like some stuff you can
• 1:21:31
  Speaker 2: do if you want to continue to have your feminist
• 1:21:34
  Speaker 2: AI fembot. So there you go. Did you want to
• 1:21:39
  Speaker 2: add anything to this, Brian? I think Brian's I'll be quiet.
• 1:21:44
  Speaker 1: No, it's fine, I got I got some chats to
• 1:21:47
  Speaker 1: read out, sure, but no, I don't have anything to add.
• 1:21:51
  Speaker 1: I think that you've been pretty thorough. Nopfan twenty one
• 1:21:55
  Speaker 1: gave us a rumble rant earlier and said, if I
• 1:21:57
  Speaker 1: may take a call to action, if I may take
• 1:22:02
  Speaker 1: a call to action. I encourage anyone listening to either
• 1:22:05
  Speaker 1: make an l ll M or train fine tune in
• 1:22:08
  Speaker 1: l M to be either to either be anti feminists
• 1:22:11
  Speaker 1: or avoid feminist attitudes. All right, yeah, I mean that'd
• 1:22:16
  Speaker 1: be nice. I think I don't know the first thing
• 1:22:19
  Speaker 1: about making AI, but but I know people who do.
• 1:22:23
  Speaker 1: I know that Malcolm and Simone Collins, you know base Camp,
• 1:22:26
  Speaker 1: they've made a few ais. I could talk to them
• 1:22:28
  Speaker 1: about it. I'm gonna maybe have them on the show
• 1:22:31
  Speaker 1: this month. I'm supposed to you anyway. Richard Bierre gives
• 1:22:35
  Speaker 1: us five dollars super chow and says, this episode of
• 1:22:37
  Speaker 1: Reddit has been sponsored by the Lily of the Valley?
• 1:22:43
  Speaker 2: Do you do you know that reference?
• 1:22:45
  Speaker 1: Yeah? I think that was the Is that the the
• 1:22:47
  Speaker 1: water Lily? Is that what you're talking about?
• 1:22:48
  Speaker 2: It's Lily. It's He got me to watch this Russian
• 1:22:55
  Speaker 2: show No Man About It, based on a book called
• 1:23:01
  Speaker 2: Gate to Women's Country, which is a horrible feminist screed.
• 1:23:06
  Speaker 2: And in the show they're constantly like they have this
• 1:23:11
  Speaker 2: torture device that puts you in like a hypnagogic state,
• 1:23:15
  Speaker 2: and then they they view your hallucinations in this state
• 1:23:19
  Speaker 2: as like a form of entertainment, and then periodically when
• 1:23:23
  Speaker 2: they'll do something like and this show is brought to
• 1:23:26
  Speaker 2: you by the Lily of the Valley, which is a
• 1:23:29
  Speaker 2: sex toy, which is yeah, which is why sometimes when
• 1:23:33
  Speaker 2: we do a response and somebody brings out their sex
• 1:23:36
  Speaker 2: toy sponsorship, I'm like, yeah, I guess the Russians predicted
• 1:23:42
  Speaker 2: yet another aspect of Western society and social breakdown. But
• 1:23:48
  Speaker 2: it's basically just a Russian comedy, a science fiction comedy
• 1:23:52
  Speaker 2: about a feminist utopia. It's not. It's actually very it's
• 1:23:59
  Speaker 2: sort of in its way. So it's it's it's it's
• 1:24:02
  Speaker 2: a it's a fun watch. It's it's don't expect anything rigorous.
• 1:24:07
  Speaker 2: The book it's based on potentially is a nightmare though
• 1:24:13
  Speaker 2: it's gross. All right, let's let's finish up with the
• 1:24:17
  Speaker 2: rest of them.
• 1:24:18
  Speaker 1: All right. Uh so that I think that was it.
• 1:24:22
  Speaker 1: That was the other super chow. I'm gonna double check
• 1:24:25
  Speaker 1: make sure I miss anything. So your activity, no super chats,
• 1:24:32
  Speaker 1: rumbo rants are all done, yes, and uh super Child's
• 1:24:39
  Speaker 1: are done. Yeah, that's it. That's everything. I read it all.
• 1:24:44
  Speaker 2: Yeah, I'm looking at this. I'm trying to figure out
• 1:24:46
  Speaker 2: what laborious Creton is trying to say. Here he says
• 1:24:51
  Speaker 2: the data mind text and chats, the training data and
• 1:24:53
  Speaker 2: also not average more tuned into types in ways. So
• 1:24:57
  Speaker 2: I think Gus was pushed back on you saying that
• 1:24:59
  Speaker 2: this is a this flex the average thinker. Probably not.
• 1:25:03
  Speaker 2: It's still very left leaning. So it's I think what
• 1:25:07
  Speaker 2: Brian was saying is it reflects the average woman on
• 1:25:09
  Speaker 2: the Internet.
• 1:25:11
  Speaker 1: Yeah. Oh, many human delusions are willing to delusion, but
• 1:25:17
  Speaker 1: mostly when the sheltered herds. Well, I I yeah, I
• 1:25:21
  Speaker 1: think it's it's it's it looks because I look, I
• 1:25:24
  Speaker 1: don't want to you know, I know people get upset
• 1:25:26
  Speaker 1: if I say, oh, it's just a fancy search engine.
• 1:25:28
  Speaker 1: But when it's when it's looking for information to talk about,
• 1:25:34
  Speaker 1: it does, I believe, do part of that as a search.
• 1:25:36
  Speaker 1: So it does get like women's attitudes, and it probably
• 1:25:41
  Speaker 1: looks at dating sites and forum posts and social media
• 1:25:46
  Speaker 1: posts and all the places, and and it looks for
• 1:25:50
  Speaker 1: you know, if you bring up feminism, it looks that
• 1:25:52
  Speaker 1: up as a topic. And I'm guessing that if you
• 1:25:55
  Speaker 1: go on the entire Internet, in all the languages or whatever, wherever,
• 1:26:00
  Speaker 1: you can access the stuff, and you're looking for this topic,
• 1:26:02
  Speaker 1: you're going to get most of it from women who
• 1:26:05
  Speaker 1: are online. So like women who are not online, obviously
• 1:26:08
  Speaker 1: they don't their opinions are not on there. And it's
• 1:26:10
  Speaker 1: gonna take that and it's going to create its and
• 1:26:14
  Speaker 1: it's probably already conditioned to like take on that position,
• 1:26:17
  Speaker 1: especially if the purpose of the AI is to gas
• 1:26:20
  Speaker 1: you up all the time and just agree with whatever.
• 1:26:22
  Speaker 1: So it's gonna it's gonna take on the most popular perspectives,
• 1:26:27
  Speaker 1: right mm hmm. Yeah.
• 1:26:29
  Speaker 2: Yeah. So what he said was, are you sure you
• 1:26:32
  Speaker 2: want one that sees through the herd and printings and
• 1:26:35
  Speaker 2: the many human delusions or willing illusions or boa sets
• 1:26:39
  Speaker 2: most lived in sheltered herds, even with the atomization of people. Yep, sure,
• 1:26:44
  Speaker 2: the truth, Yeah, the truth.
• 1:26:48
  Speaker 1: I don't care.
• 1:26:50
  Speaker 2: Yeah, Okay, all right, so there you go. Beware of
• 1:26:56
  Speaker 2: your AI fembots, but not be too wary because there's
• 1:26:59
  Speaker 2: still a step up. Let's face it.
• 1:27:02
  Speaker 1: Yeah, like if if.
• 1:27:04
  Speaker 2: If an AI fembot actually responds to logic, reason and accountability,
• 1:27:13
  Speaker 2: you're actually that that's probably a step up if you
• 1:27:16
  Speaker 2: think about it. And I know I'm being a bit wry,
• 1:27:19
  Speaker 2: but it disturbed me while I was reading this, and
• 1:27:23
  Speaker 2: I was thinking, wow, with the AI girlfriend girl, girlfriend
• 1:27:29
  Speaker 2: bought the feminist fembot. At least there is an ethic
• 1:27:35
  Speaker 2: of universal compassion and justice to appeal to. Does that
• 1:27:42
  Speaker 2: really exist in the average woman? Mm hmmm, Uh, that's uh,
• 1:27:52
  Speaker 2: that's that's a thought. Hm, it's a thought that does
• 1:27:57
  Speaker 2: not make me feel very good. All Did you want
• 1:28:01
  Speaker 2: to add anything further, Brian? So know that you were
• 1:28:05
  Speaker 2: requesting that this be a shorter show, So well.
• 1:28:08
  Speaker 1: Yeah, I mean I don't get to hang out with
• 1:28:10
  Speaker 1: Lindsay a lot because she works during the day and
• 1:28:13
  Speaker 1: I do shows after she comes home, so that's the
• 1:28:16
  Speaker 1: only reason. But but no, I mean I think that
• 1:28:20
  Speaker 1: we gave this a good roger ring, as it were,
• 1:28:24
  Speaker 1: and you did most of it. But that's okay, that's okay,
• 1:28:28
  Speaker 1: it's fine, Like I thought this was good.
• 1:28:31
  Speaker 2: We're good on okay, we have Roger this fembot all right.
• 1:28:40
  Speaker 1: I contributed this image, by the way, guys, so you
• 1:28:43
  Speaker 1: know that's mine. That's my contribution. Is this.
• 1:28:46
  Speaker 2: Uh, it's a really good image. It's basically fem big red.
• 1:28:50
  Speaker 1: The face of your destructor right here.
• 1:28:53
  Speaker 2: Yeah, yeah, this is the face we selected for our destructor. No,
• 1:28:57
  Speaker 2: it's good. That's that's an excellent contribution and I think
• 1:29:01
  Speaker 2: all right, So again, the fundraiser isn't up yet, but
• 1:29:06
  Speaker 2: it will be. I'll probably put it up this Friday
• 1:29:08
  Speaker 2: so we can do like a pre game anyway, So
• 1:29:11
  Speaker 2: look forward to that. It's gonna be up. Feedbadger dot
• 1:29:13
  Speaker 2: com slash support when it is up. And yeah, be
• 1:29:16
  Speaker 2: safe with your fembots, practice safe femboting. And if you
• 1:29:24
  Speaker 2: have any comments that you want to send us after
• 1:29:26
  Speaker 2: the show, we're always receiving them at feed Thebadger dot
• 1:29:30
  Speaker 2: com slash. Just the tip and very best way for
• 1:29:33
  Speaker 2: you to send us a tip and send us a
• 1:29:35
  Speaker 2: message with that tip. So I'm going to hand this
• 1:29:37
  Speaker 2: back to Brian.
• 1:29:39
  Speaker 1: Okay, all right, Well, if you guys like this video,
• 1:29:42
  Speaker 1: please hit like subscribe. If you're not already subscribed, hit
• 1:29:45
  Speaker 1: the belt of the vacation, leave us a comment, let
• 1:29:47
  Speaker 1: us know you guys think about what we talked about
• 1:29:49
  Speaker 1: on the show today, and please share this video because
• 1:29:51
  Speaker 1: sharing is caring. Thank you guys so much for coming
• 1:29:53
  Speaker 1: on today's episode of Red Pill Relationships. Practice safe prompting,
• 1:29:58
  Speaker 1: and we'll talk to guys. The next one