They cannot be trusted to produce output that works (let alone works well) because they are just statistical models, without any actual understanding of what they produce. That means that you have to carefully review every single line of code they produce, because you don't know where the hallucinations will be. But by the time you do that, you have saved no time at all (indeed, in my experience you lose time), because typing the code was never the part that took time. It was understanding the problem. So if you use an LLM, you spend a bunch of money for zero gain in productivity, or you sacrifice quality and pray there aren't nasty bugs lurking. I certainly think it's fair to call that state of affairs "it doesn't work".
I do not mind at all that someone creates an AI Image to decorate a blog article.
I'm also not directly offended if someone is using an LLM to write text.
And i find it a valid argument, that people who post on HN and get enough votes for content, people read and liked, that this can be enough as a filter or quality gate.
The way I see it, we hit a ceiling with the capabilities of AI. Singularity will most likely not happen (not with the resource hunger of current methods). What remains are incredible tools to help remove the most tedious tasks from everyone's work.
Which leaves us with plenty of time to take a stroll in our drought-stricken nearby park. What fun we'll have reading the placards of all of the species that used to exist in the nearby creek.
Or if we're above wet bulb climate conditions again, we just watch the newest algorithm invent stories for us built on the uncredited labor of real artists.
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