This post was rejected for the following reason(s):
Insufficient Quality for AI Content. There’ve been a lot of new users coming to LessWrong recently interested in AI. To keep the site’s quality high and ensure stuff posted is interesting to the site’s users, we’re currently only accepting posts that meet a pretty high bar.
If you want to try again, I recommend writing something short and to the point, focusing on your strongest argument, rather than a long, comprehensive essay. (This is fairly different from common academic norms.) We get lots of AI essays/papers every day and sadly most of them don't make very clear arguments, and we don't have time to review them all thoroughly.
We look for good reasoning, making a new and interesting point, bringing new evidence, and/or building upon prior discussion. If you were rejected for this reason, possibly a good thing to do is read more existing material. The AI Intro Material wiki-tag is a good place, for example.
Writing seems likely in a "LLM sycophancy trap". Since early 2025, we've been seeing a wave of users who seem to have fallen into a pattern where, because the LLM has infinite patience and enthusiasm for whatever the user is interested in, they think their work is more interesting and useful than it actually is. Generally these posts write using vague language that sounds impressive but doesn't say anything specific/concrete enough to be useful.
If we've send you this rejection, we highly recommend stopping talking much to LLMs and go talk to some humans in your real life. Generally, the ideas presented in these posts are not, like, a few steps away from being publishable on LessWrong.
If you want to contribute on LessWrong or to AI discourse, I recommend starting over and focusing on much smaller, more specific questions, about things other than language model chats or deep physics or metaphysics theories (consider writing Fact Posts that focus on concrete of a very different domain).
I recommend reading the Sequence Highlights, if you haven't already, to get a sense of the background knowledge we assume about "how to reason well" on LessWrong.