

LLM is what usually sold as AI nowadays. Convential ML is boring and too normal, not as exciting as a thing that processes your words and gives some responses, almost as if it’s sentient. Nvidia couldn’t come to it’s current capitalization if we defaulted to useful models that can speed up technical process after some fine tuning by data scientists, like shaving off another 0.1% on Kaggle or IRL in a classification task. It usually causes big but still incremental changes. What is sold as AI and in what quality it fits into your original comment as a lifesaver is nothing short of reinvention of one’s workplace or completely replacing the worker. That’s hardly hapening anytime soon.
I’d argue, that it sometimes adds complexity to an already fragile system. Like when we implement touchscreens instead of buttons in cars. It’s akin to how Tesla, unlike Waymo, dropped LIDAR to depend on regular videoinputs alone. Direct control over systems without unreliable interfaces, semantic translation layer, computer vision dependancy etc serves the same tasks without additional risks and computational overheads.