While it feels like these sorts of observations are shouting into the void, I think they do have a cumulative impact. It's probably another 5 years until the hy

While it feels like these sorts of observations are shouting into the void, I think they do have a cumulative impact. It's probably another 5 years until the hype's over, but that'll be 5 years of the voices of reason saying "you've reinvented X" for each X of pre-AI best practice. I admit, I am somewhat excited to see what's actually left, after the hype has gone away. Because there might actually be something. LLMs can only contribute to projects where there's a severe deficiency, or there's enough of a specification that a heuristic-guided fuzzer could do the same job quicker. LLMs are worse at translation than much smaller seq2seq transformer models. LLM apparent writing ability is mainly attributable to plagiarism and the LLMentalist effect. LLM apparent sentience is mainly attributable to the ELIZA effect. But once you strip away all the hype, will we be left with a pearl, or just bits of dead clam?