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🦔 A neuroscientist who testified before the Senate says US schools weren't broken until tech companies convinced them they were. Jared Cooney Horvath found that test scores in Utah started declining right when schools implemented mandatory digital infrastructure in 2014. The US has spent $30 billion putting laptops and tablets in classrooms since 2002. According to international data, more time students spend on computers correlates with worse scores, not better. Gen Z is the first generation to score lower than their parents on standardized assessments. Now the same cycle is repeating with AI. A Pew survey found more than half of US teens use AI for schoolwork. Teachers report students can't reason, think, or solve problems independently. Horvath argues that tools experts use to make their lives easier are not the tools students should use to learn how to become experts. My Take The "transfer problem" goes back to the 1950s. Students learn to master the tool but not the subject matter. Pressey and Skinner ran into this with teaching machines 70 years ago, and we're running into it again with AI. The tech changes but the outcome doesn't. I think Horvath has it right. Learning requires friction. You have to struggle with a problem to actually understand it. AI removes that friction, which feels like help but functions as dependency. An expert can use AI effectively because they already know enough to evaluate the output. A student using AI to skip the hard part never builds that foundation. We're watching an entire generation learn to operate tools instead of developing the skills the tools are supposed to augment. The productivity gains go to the platforms, not to the kids. Hedgie🤗