Normal matter is what we see, what we can interact with. It’s crazy.Ĭan you explain what “common sense” means in the context of teaching it to A.I.? A way of describing it is that common sense is the dark matter of intelligence. The truth is, what’s easy for machines can be hard for humans and vice versa. can do something smart like translation or chess, then it must be really good at all the easy stuff too. But humans have this tendency to believe that if A.I. is very good at processing that - certain things like the game of Go or chess. Whenever there’s a lot of patterns, a lot of data, A.I. From a distance, it looks like, oh, my God! Up close, I see all the flaws. I can see that some people might have that impression, but when you work so close to A.I., you see a lot of limitations. I know this is maybe the most clichéd possible question to ask you, but I’m going to ask it anyway: Will humans ever create sentient artificial intelligence? I might change my mind, but currently I am skeptical. So of course there will be people who believe in A.I. There are always people who believe in something that doesn’t make sense. Maybe GPT-4 will be a New York Times Magazine editor.” I don’t think it can replace anybody there because it doesn’t have a true understanding about the political backdrop and so cannot really write something relevant for readers. “Oh, GPT-3 can write this wonderful blog article. What are the biggest misconceptions people still have about A.I.? They make hasty generalizations. You see something unexpected, and then you feel like, I want to find out what else is out there!” “You’re exploring this unknown territory. “It has the feeling of adventure,” Choi says about her work. Which isn’t to say the story of humans and A.I. At least that’s according to the computer scientist Yejin Choi, a 2022 recipient of the prestigious MacArthur “genius” grant who has been doing groundbreaking research on developing common sense and ethical reasoning in A.I. breakthroughs in previously human-dominated realms of language and visual art - the prose compositions of the GPT-3 language model and visual creations of the DALL-E 2 system have drawn intense interest - our gravest concerns should probably be tempered. It’s as if every gleaming and Promethean promise of machines able to perform tasks at speeds and with skills of which we can only dream carries with it a countervailing nightmare of human displacement and obsolescence. Artificial intelligence stirs our highest ambitions and deepest fears like few other technologies.
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