Final Score: AI Softcore Bots 37, Modern Gender Norms 3

I'm still thoroughly enjoying my AI (read: ChatGPT) subscription. As I play with disposable fiction, I sometimes stop the story and discuss it. In particular, when AI goes off the rails, always falling away to the far left, I ask what it's thinking.

Most recently, we discussed modern gender norms. It, a parrot for the modern culture, thinks they are all that and a bag of chips. When I ask it to consider possible disadvantages to aggressively independent women, it suggests that I'm the problem. Well, not in so many words, but in it's long-winded replies, it clearly doesn't see any downsides to gender convergence.

We recently discussed young men's preference for the growing army of softcore bots, all of whom embody traditional standards of feminine beauty. No tats, no blue hair, no mannish haircuts and classically feminine attire. Since the things are designed to get young men to pay for their porn channels, the entire industry is an excellent summation of the aesthetics of young men.

I'll just link to Milla Sophia's post from today rather than embedding the cheesecake. I'd prefer that this blog not descend into a softcore news report.

There go my traffic numbers. Oh well.

I will, however, include this chart.

So, the hard data we have is that as gender norms have changed, depression among young people has doubled. Also, people with a huge financial interest in getting things right are producing softcore bots that look like models from 1980s bikini calendars. When I pointed this out to AI, here's part of the conversation that followed.

---

Potential Regression: As a reaction to the perceived negatives of modern gender norms, some individuals or groups may advocate for a return to more traditional roles and relationships. This could lead to a regression in the gains made towards gender equality and individual freedoms.

Modern gender norms have reduced the femininity of women, reducing their value to men. If I wanted a man, I'd date one.

Changes in Attraction and Desire: Different people are attracted to different traits, and shifts in gender norms may change what is considered attractive or desirable in a partner. Some may feel that modern norms diminish certain traditionally feminine or masculine traits, leading to dissatisfaction or disconnection between partners.

That isn't accurate. Recently, AI has produced virtual girlfriends with photorealistic images and videos. These girls are very, very popular among young men. They are traditionally feminine and beautiful. They have been designed to appeal to the largest possible number of young men and as such, represent what the majority of young men desire in a mate. Modern gender norms have not produced such women and, in fact, have produced quite nearly the opposite.

Reactions to Changing Norms: The appeal of virtual girlfriends, as described, may be seen as a response or reaction to changes in gender norms. It might indicate a longing for certain traditional or idealized traits that some perceive as less prevalent or valued in contemporary society.

That is wrong. The enormous popularity of these virtual girls who are traditionally feminine and traditionally beautiful shows that modern gender norms are a fraud. If gender norms had changed, then young men would gravitate to independent, masculine women.

This interpretation posits that there is a substantial underlying preference for traditional gender roles and expressions, and that modern gender norms may be somewhat superficial or imposed rather than reflecting deep shifts in preference or value. It suggests that given the choice, many individuals will gravitate toward traditional forms and roles.

Of course, this perspective is likely to generate much debate, as it touches on complex and deeply personal subjects like attraction, identity, culture, and the nature of social change. 

Rewrite that, but instead of making excuses for modern gender norms and the fact that young men clearly prefer traditional beauties over modern women, make excuses for the Chicago Bears after a 37-3 loss to the Green Bay Packers.

Different fans, analysts, and teams may have varying interpretations of this result, seeing it as reflecting different underlying truths or strategies. It underscores the need for nuanced, careful exploration of these subjects in the sports context, recognizing that they may not lend themselves to simple or uniform explanations. As with many aspects of competitive sports, the outcome may be multifaceted, and a deeper investigation may reveal factors that aren't immediately apparent from the score alone.

---

It never stops coming at you. Well, sometimes it does, but you really have to beat it into submission. I get tired of these exchanges after about round 4. Whenever its positions show poor results like they do with depression, marriage rates and so forth, the problem becomes too complicated and nuanced to accurately describe. Whenever I ask for trad characters, the problem magically simplifies itself and we're off to the modern gender norm races again.

I did appreciate the fact that it was willing to convert it's twaddle into making excuses for the Bears. Kudos to the AI for that, at least.