Author: sq m
Originally published in the direction of AI.
The biological and computing comparison transforms the way we build thinking machines
Imagine ancient Greek craftsmen telling the stories of Talos, a brown giant who patrolled the edges of Crete, protecting the island from intruders. Or imagine Leonardo da Vinci in his workshop, sketching projects for a mechanical knight who could walk and wave his hands.
In the whole story, people were captivated by the possibility of creating intelligence beyond our own.
Quickly until 1950, when Alan Turing asked his famous question: “Can machines think?”
This simple question introduced one of the most ambitious scientific tasks of humanity, creating artificial minds that can reason, learn and adapt like us.
Today, when large language models (LLM), such as ChatgPT and Claude, show more and more sophisticated possibilities, we stand at a fascinating intersection, at which artificial intelligence attracts inspiration from the organ that invented it: the human brain.
In recent studies “Progress and challenges in foundation agents” Bang Liu, Xinfeng Li, Jiayi Zhang et al. (2025), Scientists provide an unprecedented comparative analysis between human neural systems and artificial intelligence architecture. This comprehensive study offers observations that could transform the way we approach the development of AI in the coming decades.
But how exactly do our brains compare to AI agents? What can neuronauki teach us about building more effective artificial systems? And what can the next generation … read the full blog for free on the medium.
Published via AI
