Training Human Perception. The chaotic and fragmented Internet, making it all accessible to all humans
Cécile Gal @CecileGal Paper out!
https://nature.com/articles/s41598-024-59089-1
We show that presenting visual stimuli in random order of visibility impairs humans’ ability to recognise them. Unlike machines, where random presentation of samples helps learning (avoid overfitting), in humans randomness is detrimental.
Replying to @CecileGal
I am rambling a bit. It is 9 am and I have worked about 5 hours already today. These things are a bit large and hard to remember all of it. Let alone write all things relevant in a linear sequence of characters where most of what I am saying, I am looking at the systems and networks and people and organizations and their behaviors – then transcribing into words.
If hundreds of millions of knowledge workers now, trained mostly by memorization, are not going to become obsolete and unemployed when some of the AI companies realize they can replace humans workers easily if they simply treat their AIs as humans, we all need to up our game.
Also why pay schools hundreds of thousands of dollars for a memorized body or obsolete and not-adaptable skills and abilities? Just because everyone is used to paying for big names, and that has been enough, does not mean it will continue when there are literally billions of very smart and adaptable humans now who can learn to learn and act efficiently and not spend years or decades at it.
Any of a dozen “poor” countries now can put all the developed countries in the back of the pack, simply by sharing knowledge efficiently and helping everyone learn and record and share what they learn with people who need it. Things and time, as well as “knowledge”.
Many people now are just starting to whittle away at global issues, and I have been working on it, at global scale, every day, almost every minute, for many decades. It is not impossible. It is not hopeless.
Filed as (Training Human Perception. The chaotic and fragmented Internet, making it all accessible to all humans)
Richard Collins, The Internet Foundation