> Still struggling to find anything in your wall of words that actually backs up your claims. I mean, one easy thing you could do is to explain how LLMs are ad

> Still struggling to find anything in your wall of words that actually backs up your claims. I mean, one easy thing you could do is to explain how LLMs are adequate as >> thinking machines, search engines, knowledge archives, … How much practical experience do you have with LLMs? Have you even tried running models locally? Then how have you not experienced yourself tweaking few parameters and gotten the same model to say one thing and its opposite just after? Through your extensive use of commercial LLMs, aren't you getting daily occurrences of confabulations? Making stuff up is what defines¹ LLMs, and that's not me saying it. If your field is so inconsequential that reliability and faithfulness of your output has no practical merit or repercussion, I'm glad that you get some entertainment out of this. Still doesn't make it the norm, though. ¹: https://arxiv.org/abs/2409.05746 https://arxiv.org/abs/2409.05746