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New York City and Los Angeles, America's two largest school districts, have imposed moratoriums on artificial intelligence tools in classrooms. The move reflects growing anxiety among educators about academic integrity and the pace at which AI is entering young people's learning environments before clear guidelines exist.
Shifting to the developer world, a project called OKF Agent Memory is proposing something quietly interesting — persistent, git-native memory for AI coding agents. The idea is that agents should remember context across sessions the way a developer does, using version control as the backbone. It's early, with almost no community traction yet, but the concept points toward a real gap in how AI tools handle continuity.
And for anyone trying to understand the mathematics behind machine learning, a new roadmap is making the rounds online. Rather than diving straight into neural networks, it lays out the foundational disciplines — linear algebra, calculus, probability — and maps how they connect. It's the kind of resource that treats learning as a long game, not a shortcut.
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