Just yesterday, I was trying to use Claude Opus 4.7 to debug an issue in a program that I wrote, and its solution was to remove a feature, change the design to eliminate the problem without consulting me. I only found out that it had removed this feature through testing. Imagine not reviewing things like that. How can people argue for this with a straight face? We'll probably get there eventually, but there's no need to rush before the tech is ready. Doing that is just being clueless.
Nobody can be sure of what the LLM will output for a certain prompt. If you don't review what it outputs, it will not necessarily match your expectations. You could argue that it is the same as when you assign an intern to the task, but I personally would check what the intern writes (and in my experience they are more reliable than current AIs, of course not as quick).
but, according to the worst offending and persistent ai-hyper comments on this site, this is apparently a paradigm shift unlike anything that’s done before. according t them we don’t even need to understand high level languages, let alone machine code. which is frankly ridiculous.
i’m an “AI luddite”. but i accept there are useful use cases. that’s not where all the wasted money is going though.