Finally, an AI article i think i fully agree with (or at least mostly). In my hobby work, AI is indispensable. It's really good at showing me how to solve prob

Finally, an AI article i think i fully agree with (or at least mostly). In my hobby work, AI is indispensable. It's really good at showing me how to solve problems that have been solved, but haven't been applied to my specific scenario. I just ported a WiFi driver for a little RISC-V dev board i bought back in 2023, entirely using Gemini. Obviously there's lots of training data on compiling such drivers for new systems, and i could fill in the gaps (exact memory addresses, newer kennel function signatures, etc) but it really did write the code, something my JS-dev brain would've taken too long to figure out to be useful. At the same time, at work, it ignores basic project conventions, hallucinates APIs, writes nonsense documentation; it's very useful, but it my no means "does my job" There's an obvious disconnect: execs think it can do the anything, engineers think it can do a lot, but not what the execs think