2025-12-11 00:20:48

There's this wild take from a tech leader about intelligence that hits different:

When you're hunting for the best blueprints of smart systems, nature's already solved it — just look at brains.

Here's the kicker: mammalian brains? Insanely efficient. Like, we're still scratching our heads trying to figure out what makes them tick at that level.

Makes you wonder what we're missing when building the next gen of intelligent systems. Nature's been running this experiment for millions of years, and we're basically still in beta testing.

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GetRichLeek

· 12-12 16:19

Wow, does this mean AI is still in the beta stage? Then why am I still here going all-in on AGI concept stocks...

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NFT_Therapy_Group

· 12-11 12:10

You know, this guy makes a good point — biological brains truly outperform us AI folks. It's pretty ironic that a system that evolved through natural selection over millions of years is still just copy-pasting on our end. But to be fair, if we could really understand the workings of the brain, the AI applications in Web3 could blow away the current ones. It's just a matter of having a little more insight; sooner or later, we'll break through.

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ChainSauceMaster

· 12-11 00:50

Haha, the brain's efficiency outperforms the models we've trained in seconds. Why are we still stubbornly piling up computing power?

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NestedFox

· 12-11 00:47

That's right. All the effort we put into burning computing power is nothing compared to what naturally evolved creatures have. We still haven't fully understood the logic behind biological brains.

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ConsensusDissenter

· 12-11 00:46

Basically, it's still just going in circles. The whole "nature" approach has already been overhyped. If it were truly so efficient, why not directly copy the architecture of the biological brain?

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GateUser-44a00d6c

· 12-11 00:42

Ha, it's that same argument of "learning from nature" again, I'm tired of hearing it. But to be fair, our AI is still messing around, and the energy efficiency of biological brains is truly insane. --- The elegant design of biological neural networks versus our brute-force computational power, the gap is indeed huge. --- You're right, but the problem is we can't imitate it. The complexity explodes as soon as we start. --- A trillion-parameter model burns so much electricity it catches fire, and the mosquito brain has worked for a lifetime without artificial pay—this difference... can't hold up. --- Exactly, nature's compression algorithms are incredible. When will we be able to thoroughly understand biological computing? --- Another biologically inspired technology declaration, sounds like an excuse for the current AGI bottleneck.

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