> it cannot learn, and it cannot understand things for you

the former is demonstrably untrue (and wildly so), and the latter is just an egocentric/anthropocentric "the genie in a bottle only answered my wishes, it didn't tell me what to wish for". buried in that statement is the presupposition that humans being able to understand that something is actually Important; short of religious/faith-based reasons I don't see the justification for the primacy of human understanding when it comes to the determination of Truth. if anything, being "understandable" to humans strikes me as an anti-goal. are we really to believe that human comprehension is the limiting factor keeping society from degrading into "decoherence"? how well is that going for us? the reason humanity places such a premium on identifying "The Truth" is precisely because of how illusory it is for our fallible minds. LLMs struggle with many things, but coherence is least among them. that is why "slop" works so well-- if it wasn't at least mildly coherent, it would be easy to discriminate.

> there are A LOT of lazy executives, and lazy developers who are spewing a lot of slop all over the place and there are even more lazy humans who are happy to ascribe this to a shortcoming of the technology and not of humanity itself.

insofar as we are descending further into post-truth, it isn't because of AI slop blurring the lines between fiction and reality; it is because we are all collectively realizing that Truth isn't all it's cracked up to be. LLMs are forcing us to take a long hard look into the mirror and we don't necessarily like what we see.

Please point me to the paper about the coding model that can continuously learn.