Em Adespoton

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Joined 2 years ago
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Cake day: June 4th, 2023

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  • Exactly. People see “AI” and think LLMs and diffusion models. Those are both probabilistic translation engines. They’re no more intelligent than an AC/DC converter, just a lot more complex.

    However, there are neural networks and sense arrays in the field of AI, and those are designed to replicate the process of thought.

    The real route to a thinking AI is likely a combination of the two, where a neural network can call on expert systems including translation engines to do the heavy lifting and then run a more nuanced decision tree over the results.

    Thing is, modern LLMs and diffusion models are already more complex than a single human mind can fully comprehend, so we default to internally labelling them as either “like us” or “magic”, even when we theoretically know them to be nothing but really deep predictive models.