site banner

Culture War Roundup for the week of June 15, 2026

This weekly roundup thread is intended for all culture war posts. 'Culture war' is vaguely defined, but it basically means controversial issues that fall along set tribal lines. Arguments over culture war issues generate a lot of heat and little light, and few deeply entrenched people ever change their minds. This thread is for voicing opinions and analyzing the state of the discussion while trying to optimize for light over heat.

Optimistically, we think that engaging with people you disagree with is worth your time, and so is being nice! Pessimistically, there are many dynamics that can lead discussions on Culture War topics to become unproductive. There's a human tendency to divide along tribal lines, praising your ingroup and vilifying your outgroup - and if you think you find it easy to criticize your ingroup, then it may be that your outgroup is not who you think it is. Extremists with opposing positions can feed off each other, highlighting each other's worst points to justify their own angry rhetoric, which becomes in turn a new example of bad behavior for the other side to highlight.

We would like to avoid these negative dynamics. Accordingly, we ask that you do not use this thread for waging the Culture War. Examples of waging the Culture War:

  • Shaming.

  • Attempting to 'build consensus' or enforce ideological conformity.

  • Making sweeping generalizations to vilify a group you dislike.

  • Recruiting for a cause.

  • Posting links that could be summarized as 'Boo outgroup!' Basically, if your content is 'Can you believe what Those People did this week?' then you should either refrain from posting, or do some very patient work to contextualize and/or steel-man the relevant viewpoint.

In general, you should argue to understand, not to win. This thread is not territory to be claimed by one group or another; indeed, the aim is to have many different viewpoints represented here. Thus, we also ask that you follow some guidelines:

  • Speak plainly. Avoid sarcasm and mockery. When disagreeing with someone, state your objections explicitly.

  • Be as precise and charitable as you can. Don't paraphrase unflatteringly.

  • Don't imply that someone said something they did not say, even if you think it follows from what they said.

  • Write like everyone is reading and you want them to be included in the discussion.

On an ad hoc basis, the mods will try to compile a list of the best posts/comments from the previous week, posted in Quality Contribution threads and archived at /r/TheThread. You may nominate a comment for this list by clicking on 'report' at the bottom of the post and typing 'Actually a quality contribution' as the report reason.

4
Jump in the discussion.

No email address required.

I think the simplest answer is that they're not indexing on fanfic. There's no benchmark that they're using to train models that rates the level of Evangelion fanfic it produces, especially not fanfic where Shinji convincingly cums inside of Asuka. I mean, it'd take a lot of dedicated annotation work to see how many men can orgasm from reading AI-generated fanfic, it doesn't scale well. Contrast it to most things that are trained on that are very easy to scalably judge, like getting the right answer on multiple-choice questions; you can check that over with a simple string comparison. I'd say you're lucky to have found any LLMs that can produce fanfic and erotic fanfic that as good as the ones you have.

I mean they've got a gigantic locus of horny fanfic that has surely been ingested into the models through websites like Fanfiction.net and AO3 that is a huge output of the internet. Whilst you can argue how 'quality' most of it is I'd expect a pretty good model to be able to output AO3-level fanfiction easily for major characters.

Maybe I'm pessimistic, but I suspect we've reached the top of the sigmoid for the original "train a GPT model on all the human-written text in the world" idea, and it turned out not to be possible to generate arbitrarily long/coherent/good fiction that way. The recent advancement in AI models has come from other ideas, like "multimodal" training (training on image data / audio / etc), or doing reinforcement learning on synthetic tasks.

Those other ideas can incidentally benefit fanfic -- maybe the reinforcement learning also helps the AI keep track of plots for longer, for example -- but even then I sort of suspect we're at a point where you shouldn't expect models to get much better at fanfic unless AI labs take specific action to target that use case (or they try some significantly different architecture, like text diffusion models). You definitely shouldn't expect them to be great at fanfic just because fanfic is in the training data.

Yeah, but they're not indexing on it for training the model better for those use cases. So, sure, the model be able to produce it. But it won't be consistently getting better over time because no one is working to make it get better over time. Or at least it won't be getting better as fast as things people do care about and can easily measure, like generating code, doing business analytics, business writing, image recognition, all that stuff.