Actually Useful AI

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Our community focuses on programming-oriented, hype-free discussion of Artificial Intelligence (AI) topics. We aim to curate content that truly contributes to the understanding and practical application of AI, making it, as the name suggests, "actually useful" for developers and enthusiasts alike.

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Why artificial intelligence needs to understand consequences (www.nature.com)

submitted 1 year ago by [email protected] to c/[email protected]

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This is the potential development in AI I'm most interested in. So naturally, I tested this when I first used ChatGPT. In classic ChatGPT fashion, when asked to make a directed acyclic graph representing cause and effect, it could interpret that well enough to make a simple graph...but got the cause and effect flow for something as simple as lighting a fire. Haven't tried it again with ChatGPT-4 though.

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[–] [email protected] 2 points 1 year ago

That's definitely a better graph visually. (The image capability is cool, the graph I got on the earlier model was in text form). But I think it is wrong - "prepare (tinder, kindling, and fuel wood)" are all redundant to each other. Plus there's a direct link from "prepare tinder wood" to "maintain fire" - if this is a causal diagram indicating the sequence of actions a person needs to take, "prepare wood " should link to "light fire". I don't have a record of the exact prompts I was using, but I was working more with the fact that oxygen. fuel, and heat are all necessary but independent preconditions for a fire to start.