Do people prefer the new flat style LLMs are producing? I don’t mind it as much as the gradient theme they were pumping out previously.

It still matters, but in the age of good reasoning, tool use, and web search, this is much less of a problem than it used to be.

After Trump's last inauguration, ChatGPT would still tell me that Biden was President of the US. I understand that the training cutoff was before Biden dropped out. But it knew, or should have known, the current date and that there had been an election since its last update, but it didn't qualify the answer. When I asked it to search the web, it got it right. The moral I took away was to always ask for the search whenever I ask about current events. I do that so routinely that I wouldn't know if this problem has been fixed. I suppose that failing to update my priors per individual model release is a form of bigotry against a widely hated class.

I remember when the US captured Venezuelan president Maduro, and when I posed a prompt related to this, the model said that’s pure fiction. I told it to double check. Still didn’t want to entertain the idea. It only acquiesced when I specifically directed it to check Reuters. I haven’t noticed this problem in months. Model cutoff seems to be less of a problem these days.

Depending on the use case certain models very well remain as or more reliable for certain tasks.

Pre-AI internet data is like pre-war steel

The slop would multiply if we keep feeding it to new models in a loop