The upshot of this is that LLMs are quite good at the stuff that he thinks only humans will be able to do. What they aren't so good at (yet) is really rigorous reasoning, exactly the opposite of what 20th century people assumed.
The upshot of this is that LLMs are quite good at the stuff that he thinks only humans will be able to do. What they aren't so good at (yet) is really rigorous reasoning, exactly the opposite of what 20th century people assumed.
LLM's are just the latest form of "AI" that, for a change, doesn't quite fit Asimov's mold. Perhaps it's because they're being designed to replace humans in creative tasks rather than liberate humans to pursue them.
It's been quite a while since anyone in the developed world has had to wash clothes by slapping them against a rock while standing in a river.
Obviously this is really wishing for domestic robots, not AI, and robots are at least a couple of levels of complexity beyond today's text/image/video GenAI.
There were already huge issues with corporatisation of creativity as "content" long before AI arrived. In fact one of our biggest problems is the complete collapse of the public's ability to imagine anything at all outside of corporate content channels.
AI can reinforce that. But - ironically - it can also be very good at subverting it.
(This should already be clear given that robots do exist, and we do call them robots, as you yourself noted, but never mind that for now.)
It’s not even about the level of mechanical or computational complexity. Automobiles have a lot of mechanical and computational complexity, but also aren’t called robots (ignoring of course self-driving cars).
My point is simply that we absolutely do not refer to a home dishwasher as a robot. Nor an old thermostat with a bimetallic strip and a mercury switch. Nor even a normal home PC.