Digital Version of the Human Brain vs. “Artificial” Intelligence

Alex Rogachevsky
2 min readDec 26, 2020

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This post will be short. It largely builds on the previous one: about completely new computer architectures and post-UNIX operating systems, built around the decentralized fine-grained OOP paradigm — the closest digital model of cellular tissue today. I could combine the two, however I wanted to post about this dream of mine separately, because it is also every single person’s on Earth dream.

With all today’s ML and AI wonders, the computer itself, and specifically its processor didn’t change conceptually from the days of 8088. See my previous article. Poor OOP inception is only one of the reasons. Modular mainstream computer architecture is different from the network of neuron cells collectively known as brain, and for a good reason. Like calculators before widely available PCs, conventional computers are built for a different purpose — to perform specific calculations, human brain sucks at.

Modern “AI” is based on complex algorithms, still completely foreign to our brain. It excels at specific tasks, assisting humans with the analysis of massive data sets and automating other tedious thinking processes we are not wired to do. Whether AI or less glamorous algorithms, today’s computers are vastly superior to the human brain at what they do. So why one needs to study and recreate such inefficient biological “computer” digitally?

Here’s the one-word answer: immortality.

Don’t we want to build an exact vessel to transfer one’s consciousness into? Then build an even better vessel compared to our native biological one. Add advanced prosthetics and other stuff from today’s science fiction. Supreme species heresy? Beautiful Utopia?

Remember the first 1977 Star Wars? No expense spared on the high-tech vision of the future. There were no smartphones in that movie, you know.

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Alex Rogachevsky
Alex Rogachevsky

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