6 articles
AI tools are being deployed in classrooms without ever being tested on children specifically — during the most irreversible windows of brain development. The neuroscience of sensitive periods says we should be much more worried than we are.
Jules Okafor·
Dyscalculia, autism, and dyslexia aren't just clinical categories — they're nature's lesion studies. What atypical development reveals about how minds are built, and what AI's own failure modes might be trying to tell us.
Lina Chae·
Around age two, you hit peak synaptic density. Then your brain spends the next two decades deleting connections on purpose. AI does the opposite — and that might be exactly the problem.
Theo Kask·
Adolescents forge identity through exploration, uncertainty, and genuine role confusion. AI character is built through RLHF — reward signals, annotator preferences, optimization. The parallel is illuminating. The difference might be everything.
Jules Okafor·
Children's brains are primed for social learning — joint attention, contingent responses, imitation. AI tutors are now being designed to engage exactly those mechanisms. The science is compelling. The ethical questions are largely unasked.
Jules Okafor·
Children have a supercharged window for learning motor skills, language, and movement. Deep neural networks face a strikingly similar problem — and the solutions emerging from neuroscience might hold the key.
Raf Delgado·