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by ben_w 847 days ago
> If you honestly think that statistics based AI can replace software engineers, then you either have no software engineering experience, don’t understand how AI works under the hood, or haven’t worked anywhere that does anything more than CRUD api development.

I don't understand how brains work under the hood (does anyone?), but zoom into the brain and you get chemistry, zoom into the chemistry and you get quantum mechanics, and that quantum mechanics is statistical in nature.

I don't know if that truth matters or not, because I don't know which layer of abstraction is the most relevant one for our intelligence. And without knowing that, I don't know if these models we have now can or can't be scaled up to do what we do: if what we are really does depend on some microtubule quantum computation, then no, no classical computer can ever be like us (though it is, still, statistics); on the other hand, if everything we are comes from the strengths of synaptic connections and internal bias of our neurons, then any sufficiently complex model can absolutely do all that we can do, and much faster too.

1 comments

> I don't understand how brains work under the hood, but zoom into the brain

Come on, really? Are you comparing using your brain to using an LLM.

I didn’t even need to read the rest to know it was all nonsense.

LLMs aren’t magic. If you understand how they work, then you can understand the limitations of the approach. You seem to not.

> I didn’t even need to read the rest to know it was all nonsense.

So, you're pattern matching without using careful logical analysis? Yes, this is a totally convincing demonstration of how humans are not at all like LLMs.

> LLMs aren’t magic.

Are humans?

I really liked the occult when I was a teenager. Despite trying, never found any real magic.

> Are you comparing using your brain to using an LLM.

Do you know where the name "neural network" comes from?

'course, the person I'm replying to probably isn't reading this anyway, given they said they stopped reading too soon the last time. This made me think: https://news.ycombinator.com/item?id=39504270