Scientists Discover 150,000 Year Old Machine Learning Algorithm

You might be forgiven for thinking that the most important algorithm of the next decade will be graph neural networks. Or perhaps Bayesian inference will come to the fore, now that it has a Gartner-friendly name. Least squares will probably do more lifting than both, frankly, and let's not forget voting -- assuming anyone cares about the results of that (though I doubt the LinkedIn poll will prove to be the most important mechanism of our time). I invite you to consider another candidate. Let's play "What is this algorithm and where are the articles about it on Towards Data Science?" Its misfortune is the double one that it is not the product of human design and that the people guided by it usually do not know why they are made to do what they do.