AI is such a huge expectations dichotomy. For those of us used to the continual disappointment that pre-LLM AI was, the current crop of LLM's are amazing, mind blowing things. We start raving about them, so other people take a look expecting that modern LLM's are the greatest thing since sliced bread. They're not quite that, so we get HN comments complaining that AI sucks.
>> For those of us used to the continual disappointment that pre-LLM AI was, the current crop of LLM's are amazing, mind blowing things. Aren't you overgeneralising a bit? Not even I would say that CNNs for image classification, or Deep-RL for board game-playing are a "continual disappointment" and they certainly predate LLMs. Are you talking about NLP? Even Neural Turing Machines were quite capable in language pairs…
RLHF trained GPT3 and then DALLE/Midjourney/Stable Diffusion changed all that. Suddenly AI not only got good, but the field broke loose of the inane and insane obsession with pseudo-safety that had been holding it back. Now the rest of us can use it without dropping $5M on a GPU cluster and hiring a dozen researchers first. AI is no longer a disappointment.