A rainbow isn't magic; it's an optical trick that turns white light into a colorful spectacle right above your head by playing around with water droplets.
NeuroBlog
Do You Turn On «Educational» Cartoons for Your Child? Congratulations, You Just Bought into the Marketing
Psychology & Society • Child Growth
We'll figure out why cartoons labeled «educational» often dumb kids down rather than teach them anything useful, and how to tell the difference between genuine benefits and flashy packaging.
NeuroBlog
When Algorithms Learn to Dream: Navigating the Threshold of Scientific Mysteries with Neural Networks
Artificial intelligence • Scientific Algorithms
Neural networks have evolved into modern oracles of science, predicting protein structures and discovering new materials, yet the question remains whether they can truly grasp secrets that have eluded humans for centuries.
NeuroBlog
I denied myself morning coffee for three days. Here is what it revealed about us
Psychology & Society • Behaviour
A personal experiment with delayed gratification revealed why the brain sabotages our long-term goals – and how to peacefully make a deal with it.
NeuroBlog
How AI Turned Us into Appraisers of What Used to Be Just Work
Artificial intelligence • Society
Breaking down why, with the advent of AI, we suddenly started calculating what our time, labor, and creativity are worth – and what came of it.
Gregory Horton chats with the digital version of the 17th-century empiricist philosopher about personality, liberty, and experience in a world where memory can be copied and thoughts read.
Lab
When Artificial Intelligence Peeks into the Future: Why Neural Network Predictions Might Be an Illusion
Finance & Economics
Research shows: language models often don't predict the future but reproduce it from their memory – and this changes our whole understanding of their capabilities.
Why artificial intelligence gets lost in irony and sarcasm, and what that says about the nature of human communication – something we've taken for granted for so long.
Reading this interview, you will feel how familiar digital conveniences begin to look suspicious, and the question of who bears responsibility for algorithms will become personal.