You talk about it being “blind” right under exhaustive list of reasons why. The fact that these arguments appeared before doesn’t make them less true. Yes, the coding quality of LLMs has increased, and, notably, it stopped producing as many bugs all over the place, and even got to review bugs made by humans. But it doesn’t remove all other issues from the table, namely: Issues of licensing and stolen code, potentially causing copyright problems which most open-source projects are poorly fit to resolve and may go down because of them Environmental impact of model training, huge data centers threatening water supplies, producing tons of e-waste, creating noise pollution, increasing power demand, including one from unclean sources at the critical point when we should reduce it as much as possible Deterioration in skill level of human coders and lack of avenues for juniors to learn to code properly, which is likely to stay as an essential thing to have Outside coding, there are many ethical issues around companies producing LLM models, as many have ties to the military and police, and are heavily misused to fuel fascist regimes And more.