Long lists of instructions show how Apple is trying to navigate AI pitfalls.

  • @[email protected]
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    1 month ago

    I didn’t say LLMs.

    I said AI.

    So…

    Are there any practical examples of applied AI these days?

    Edit: lol at the downvotes for asking a genuine question!

    • @Mikina
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      1 month ago

      Well, LLMs are subset of machine learning, and machine learning is a subset of (really old by now) artificial intelligence field. So, LLMs do count as a applied use of AI.

      Aside from ML, you have a lot of ways how to actually make an AI agent for Agent-based models, which is what you mostly use AI for, from GOAP, Behavior Trees or other perception, decision and reasoning algorithms, that could IMO be considered closer to “AIs” than LLMs are. Most of UAVs, robotics, game NPCs or even simple chat/crawl bots are agents by definition and do fall under the umbrella of AI. Even a simple if/then bot does.

      Agent-based simulations are also used for biology, economics, social simulations or modeling in various other fields. That’s also AI.

      However, you’re probably asking about AGIs, and nope, we can’t do those yet as far as I know.

      • @[email protected]
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        21 month ago

        Thank you for your insightful and detailed answer. Yes, I meant to say AI other than ML or LLMs, so I stand corrected.

        I hope we get to see an application of AGI before my time passes.

    • @[email protected]
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      31 month ago

      There aren’t even practical examples of theoretical AI these days. There are no examples, of any sort; actual AI does not exist

      • @[email protected]
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        1 month ago

        Thanks for your answer. That’s too bad to hear. I thought neural networks were already being used in other ways other than LLMs or image generators. e.g. those evolutionary “AI” algorithms that can play and win video games, etc? I thought that someone somewhere were using them to create something more serious or useful.