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[–] 2 points 3 days ago (2 children)

While this is a legitimate concern for sometime in perhaps the next hundred years, our current path with LLMs is never going to produce super intelligent AGI.

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  • [–] 2 points 2 days ago (1 child)

    We don't know that.. I also don't think the current LLM architecture will achieve human-level thinking, but I do think that people will use agents & LLMs to try a 100 billion or so times to get us there... we'll likely see many different architectures in the coming years as a result, and some that are close enough to be bloody scary (and some different enough to be even scarier!) We might very well still have LLMs as part of the bigger system.

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  • [–] 2 points 2 days ago*

    Oh I'm not one of those "LLMs are good for nothing" people, I use them often at work and at home and they do have some real world use cases that are very compelling. However they are a far very from the "solve everything machine" they are being pitched as, and they do seem to be plateauing in their improvements, seems like there's not much further they are going to be able to go even with a billion people using them everyday, there just isn't any new training data that is actually useful and they don't make new data, only associations between data they have already ingested. My qwen 3.8 model running on my 3090 at home is often better than pay for play enterprise Claude at work, if not just slower. I expect local models will explode in the future due to the cost / benefit of running them.

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