Adaptive Systems

Opening — Why this matters now For years, pruning has promised a neat trick: take a bloated neural network, snip away most of its parameters, and still walk away with comparable performance. The Lottery Ticket Hypothesis made this idea intellectually fashionable by suggesting that large networks secretly contain sparse “winning tickets” capable of learning just as well as their dense parents. ...

Opening — Why this matters now AI has learned how to explain everything. Unfortunately, it still explains things to no one in particular. Most educational AI systems today obsess over sequencing: which lesson comes next, which quiz you should take, which concept you’ve allegedly “mastered.” What they largely ignore is the most human part of learning—the example. Not the abstract definition. Not the symbolic formula. The concrete, relatable scenario that makes something click. ...