Are We Already Living With AI? Unmasking Millennia of Working AI.

What if we have all been executing and training a worldwide Neural Network by hand over millennia?

David Rodenas
10 min readJun 10


We often think of Artificial Intelligence as something that we, humans, build deliberately. But, what if, during millennia, we’ve been running a worldwide Neural Network? How is that even possible? Or, to ask another question, how could that have affected our lives? Because Neural Networks, whether simulated by a computer or actual neurons in our brains, are just ways for information to flow according to certain patterns. So, is it possible that we have been executing a Deep Neural Network with our own everyday acts? Well, the surprising answer is yes, and this has been uncovered through rigorous research. And one more thing, how does it relate to the impact of future AIs?

Neural Network Models

This is a brief introduction to neural networks, and how they are modeled in AI. This introduction is necessary to explain how we, humans, are executing one giant neural network by ourselves. If you are already acquainted with them, you can skip this section.

Neural network models are inspired by our biological brains. They are made up of units called “neurons”, that are connected one to each other with “weights” (synapses). Those connections create patterns that are the actual knowledge of the neural network.

Just step by step.

Neuron. It is a node, just like a neuron of our brain, that fires an impulse that travels towards its synapses to next neurons.

One neuron receives a synaptic connection and sends another synapse connection.

Synapses. Are the connections between two neurons. These synapses carry the signals. When a signal arrives to a neuron, it fires the neuron, which, at the same time, will send a signal towards the other neurons.

Signals are transported through synapses between neurons.



David Rodenas

Passionate software engineer & storyteller. Sharing knowledge to advance our skills. Join me on a journey of discovery in the world of software engineering.