cross-posted from: https://piefed.world/c/tech/p/1394707/study-reveals-how-generative-ai-is-eroding-the-development-pathway-for-software-develope
In-depth interviews with 14 junior and senior developers in Korea reveal four structural changes
cross-posted from: https://piefed.world/c/tech/p/1394707/study-reveals-how-generative-ai-is-eroding-the-development-pathway-for-software-develope
In-depth interviews with 14 junior and senior developers in Korea reveal four structural changes
The thing about medical is that it’s so big - no one expert can cover even a small fraction of “medical”. So, unless you have a whole team of specialists there on-hand, you just might benefit from having some “automated experts” available when you need the pattern recognition they can offer.
Except the medical expert in field A can’t be the human in the loop to verify the AI medical slopPut for field B is correct, cuz the medical expert isn’t an expert in field B. A team of human specialists will be better in the long run.
For the 0.1% of the population who can afford to assemble a team of human specialists in a timely fashion when they need them…
For the rest of us, cyborg M.D.s with brain augmentation (they called this a PubMed search in the 1990s, it’s faster and more effective today) are better than the un-augmented M.D.s we can afford.
Psychotic.
The thing about software is that it’s so big - no one expert can cover even a small fraction of “software”. If you’re a kernel driver developer, you might benefit from having some “automated experts” available in CSS/HTML for the pattern recognition they can offer.
I find it amusing how most experts think AI is great for every field except theirs.