Post ATsbvEJMbAaGbSjWS0 by garymarcus@sigmoid.social
(DIR) More posts by garymarcus@sigmoid.social
(DIR) Post #ATs4l7PK7CYnoA5kie by garymarcus@sigmoid.social
2023-03-22T10:41:23Z
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Fantastic explainer on AI, hype and reality https://www.youtube.com/embed/Puo3VkPkNZ4
(DIR) Post #ATsJAmRu3jUfh6Qfey by bwyble@neuromatch.social
2023-03-22T13:22:53Z
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@garymarcus I think your video about AI is very well done but I think you are setting the bar for intelligence too low. Watching a movie and describing what happened, even the motivations of the actors is going to be a speedbump that AI will cross in the next few years. Movies have such common narrative tropes that an AI with the ability to parse video will quickly be able to learn the archtypes present in modern movies and decode them from a new movie just as well as ChatGPT can spin up descriptions of textual narratives. The real signs of intelligence will be in effective metacognition, judgement, morality and ethics. These are the really hard problems. As I've said before, not only are LLMs unable to differentiate truth from fiction, they cannot discern that they *should* make this distinction. The very notion of right and wrong behavior does not seem to be represented (beyond the trivial sense of trying to predict the next word)Even worse, LLMs don't to have a clear notion of "should", since they are trained to respond in a way that is consistent with the central tendency of their training distribution for any given query.
(DIR) Post #ATsbvEJMbAaGbSjWS0 by garymarcus@sigmoid.social
2023-03-22T16:52:59Z
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@bwyble we will see about the first part; i agree about much of the rest
(DIR) Post #ATspICYga3RbEPBTt2 by bwyble@neuromatch.social
2023-03-22T19:22:47Z
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@garymarcus We've already got the basics of image->semantics working in AI. The question is whether video->intention is straightforward. I think it may not be in general from random real-world video, but may be easier in movies.