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"A new AI-infused classroom management tool with facial recognition capabilities has garnered attention recently with promises to take attendance, assess the emotional states of students, and monitor classes for distraction, boredom and confusion. But the technology and similar developments have raised numerous legal, ethical, and civil liberties questions similar to those surrounding campus safety surveillance programs and test proctoring programs widely adopted during the COVID pandemic."

Instead, affiliate charter schools seek applicants for positions like a "High School Guide." These $50/hr employees will help design "creative, immersive learning experiences that teach students to leverage cutting-edge AI tools and innovative strategies," among other responsibilities. "Think of yourself as a brand consultant for 50 startups simultaneously, guiding diverse branding needs from business to personal expertise positioning," reads one job listing. Apart from students' brand development, the opening also stipulates candidates must possess "demonstrated expertise in social media management, content creation, and audience engagement."

"This is a broader pattern we're seeing across other fields where LLMs are being deployed. Whether it's coding, writing, design, law, or medicine, the most effective AI users are people who already have deep domain expertise. Expertise isn't obsolete; it's more important than ever-because the value isn't just in producing outputs quickly. It's in being able to vet, steer, and improve those outputs. The future of computer science education isn't about teaching less. It's about teaching differently. We still need students who can understand how software works at a fundamental level. But we also need to train them to collaborate with AI-to become fluent in prompting, reviewing, debugging, and refining AI-generated outputs. Mastering this hybrid skillset will be critical not just for engineers, but for anyone hoping to thrive in a world where knowledge work is increasingly AI-augmented. Practically speaking, AI could dramatically lower the barrier to entry for students. When I was in high school, it would take months (if not years) of training in CS before you could create a game or app that was genuinely cool to people that aren't inherently curious and nerdy."

"And so I think this is a crisis. I think the biggest part of the crisis is for teachers. A lot of people suggest teachers go back to Blue Book exams, right? At least then we can make sure that the student is really doing their work. But that's just a huge burden on teachers now to completely reorganize the entire way that they administer education. I couldn't agree more. Kevin Roose of the New York Times recently said, "if students can cheat with ChatGPT then you need to rethink your teaching." Well, I've been working in education for almost two decades, that's exactly what people said when smartphones came around. And now, 10 years later, we've come around to just banning them in school, or trying to anyway. And I wonder if we're going to need to wait a decade before reaching that conclusion in education."

"Why the way AI speaks to us matters more than what it says We're living through a fundamental shift in how we access information. Students today don't just Google answers-they ask Alexa, chat with ChatGPT, and increasingly, speak with AI voices that sound remarkably human. But here's what's concerning: research shows that when information comes through a voice rather than text, we're significantly less likely to think critically about it."

"In a Copenhagen suburb, a fifth-grade classroom is having its weekly cake-eating session, a common tradition in Danish public schools. While the children are eating chocolate cake, the teacher pulls up an infographic on a whiteboard: a bar chart generated by a digital platform that collects data on how they've been feeling. Organized to display the classroom's weekly "mood landscape," the data shows that the class averaged a mood of 4.4 out of 5, and the children rated their family life highly. "That's great!" the teacher exclaims, raising two thumbs up in the air. She then moves to an infographic on sleep hygiene. Here the data shows the students struggling, and the teacher invites them to think of ways to improve their sleeping habits. After briefly talking among themselves, the children suggest "less screen time at night," "meditation before sleep," and "having a hot bath." They collectively make a commitment to implement these strategies. At next week's cake time, they will be asked whether or not they followed through."

"First, the problems were manually translated into formal mathematical language for our systems to understand. In the official competition, students submit answers in two sessions of 4.5 hours each. Our systems solved one problem within minutes and took up to three days to solve the others. AlphaProof solved two algebra problems and one number theory problem by determining the answer and proving it was correct. This included the hardest problem in the competition, solved by only five contestants at this year's IMO. AlphaGeometry 2 proved the geometry problem, while the two combinatorics problems remained unsolved."