The video commits a category error by comparing four billion years of biological evolution to a decade of silicon engineering. It romanticizes the brain's energy efficiency while ignoring that biological intelligence is optimized for survival, not scalable computation.
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İnsan Beyni, Sadece 20 Watt Güç Kullanırken Yapay Zekadan Hala Daha İyi Performans Gösteriyor👇Added:
Every headline claims AI is catching up to us. But what if it's chasing something it may never reach? At least not in our lifetime because we still don't fully understand how powerful the human body really is. Modern GPU like Nvidia's H100 can perform around 200 trillion operations per second. But your brain performs roughly one quadrillion synaptic operations every second, five times faster, running on just 20 W of power. An AI data center running a large model like Chat GPT consumes tens of megawatts, enough to power a small city.
It runs in 37° C heat surrounded by salt water, blood, and chaos, and still never crashes. AI networks are static, a fixed web, trained once, frozen until retrained. Your neural network rewires itself every second. Each of your 86 billion neurons forms and breaks connections up to 10 times per second, nearly a quadrillion structural changes every day. When you sleep, your brain prunes the weak ones and strengthens the useful ones. The world's most advanced self-optimizing algorithm. AI can't do that. It needs retraining and rebooting.
You just dream and wake up smarter. Even at rest, your brain is never resting. So yes, a GPU can calculate faster, but your brain predicts reality before it happens. A living self-reprogramming supercomput built by 4 billion years of trial and
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