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[–] 5 points 10 hours ago* (2 children)

I think people made some crazy magical assumptions about AI based on scifi that doesn't apply to real life. Real things to consider and prepare for, but not likely.

Recursive exponential self improvement? Just because something knows how to code doesnt mean it can make the best ultimate next version of itself. Even physical evolution takes millions of years, and it creates mistakes and has setbacks.

We might be seeing logarithmic AI improvement today, like evolution hitting a hill that it can't cross. We might need trillions more gigabytes of clean training data that isn't LLM generated to hit the next level, and it might not even be worth it.

I think what the AI developers are doing by constantly promoting ai fear is linking the idea of exponential ai self improvement to it, because their biggest fear right now might be investors realizing that isn't real, and every dollar they invest is getting less and less back.

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  • [–] 2 points 8 hours ago (1 child)

    Exponential improvement is indeed optimistic - a sigmoid curve (plateauing after a period of increase) is much more plausible, though in the computer programming case I haven't noticed the plateau yet.

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  • [–] 5 points 8 hours ago

    Indeed, throughout nature it's almost all sigmoids. The trick is that sigmoids look exponential before the inflection point and it's hard to predict when that inflection point is going to come.

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