Most LLM implementations to have come out in the past year have had introspection - a section of text where they’re prompted to think¹ about the problem at a meta level which isn’t shown to the users. LLM engineers are actively working on expanding this into a more persistent, consistent, and functional world model - a bunch of text statements that other parts of the implementation are trained to treat¹ as probably factually true, which it is regularly prompted to curate¹ based on its interpretation¹ of user input and other data.

For example, an LLM might have a world model statement that says “As an LLM I may be running at different times. Before stating the current time with confidence, check the current time with an external source such as the UTC API.” so an introspection scratchpad it generates might be “To answer that question accurately I need to know the time. I will refer to the UTC API. Ah, it returned 12:17 on June 3rd 2026. Since Britain is currently at UTC+1 I can confidently say the sun is up in Britain”, and then the text the user sees is “Thank you for asking, the sun is currently up in Britain”.

As for the lack of thought behind LLM backlash, that’s a factor of human psychology. In order to free up limited mental capacity, the human brain automatically simplifies rules it has learned consciously, imperfectly archiving the conscious method of learning it to long-term memory. People made up their minds about LLMs, and now the reasons are archived and no longer necessary for people’s response to LLMs. So now when people see LLMs, they don’t use the thought, they can just do the behavior they decided on and move on with their life.

Re-litigating LLMs feels like going to an old archive and digging through dusty tomes. It can absolutely be worth it, but it’s an effort you’re not going to put in just because you see someone using it or praising it.

Personally, my opposition to non-local LLMs is enshittification. Every habit you let become dependent on LLMs will be used to exploit you. Your habits before LLMs will be archived and too much effort to relearn, so you’ll pay out your ass for a worse service than what you used to be able to do yourself. My opposition to all LLMs is veganism, but that’s a story for a different comment.

¹: LLM instruction text anthropomorphises LLMs. LLMs don’t do these cognitive tasks the same way a human would.