Show Notes
An AI system built software in 14 hours for $251, a task normally taking a human team months. This is AI agents in education. In this episode: An AI system, Opus 4.7, accomplished a complex software development task in 14 hours that typically requires human teams months, showcasing dramatic AI capability gains. The way we interact with AI is evolving from co-intelligence chatbots to autonomous AI agents that complete complex tasks with minimal human oversight, shifting the focus to managing AI in schools. Ethan Mollick emphasizes that domain expertise is crucial for maximizing the effectiveness of AI agents, as experts achieve better results when assigning AI for complex tasks. Educators must adapt their approach to AI literacy, moving beyond basic prompting to teaching students how to critically manage AI agents, thereby preparing them for the future of AI work. The exponential growth of AI means schools must implement continuous professional development for teachers to strategically leverage AI for complex tasks and navigate constant technological shifts. Chapters: 00:00 — Cold open & welcome 00:30 — Opus 4.7: Staggering AI capability gains 01:00 — Measuring AI's ability to do real work 01:45 — Near-frontier AI models and their exponential growth 02:30 — Implications for AI agents for educators and workflows 03:15 — From chatbots to AI agents: A changing interaction model 04:30 — Managing AI in schools: The manager's role in the future of AI work 05:45 — Rethinking AI literacy and collaborative reasoning 06:45 — The impact of exponential AI capability gains on institutions 07:30 — Designing professional development for continuous adaptation What are AI agents and how do they differ from chatbots for educators? AI agents are long-running, smart, self-correcting AI systems that tackle complex tasks with less human intervention than traditional chatbots, requiring educators to shift from interactive prompting to managing AI workflows. How can teachers use AI agents for complex tasks in the classroom? Teachers can assign AI agents to handle time-consuming administrative tasks, content generation, and aspects of differentiation, freeing up human capacity for unique human skills like judgment and relationship-building. What is the future of AI work for students and how should schools prepare them? The future of AI work involves managing AI agents rather than just using chatbots, so schools should teach students to critically evaluate AI outputs, identify biases, and apply human judgment to AI-generated insights. Featuring: Dan Fitzpatrick, Ethan Mollick, Claude Fable, GPT-5.6, METR, UK’s official government AI Security Institute, GDPval, Epoch, Opus 4.7. Read the original source Follow AI in Education with Dan Fitzpatrick for more on AI in education.
More from AI for Educators
Are screen time bans protecting children, or taking away tools some need to learn? Discover the accessibility blind spot in the screen time debate and what it means for parents navigating AI in education. Paddy McGrath, author of The AI Equity Paradox, joins Dan Fitzpatrick to explore how technology can help children communicate, build confidence and express ideas that might otherwise stay hidden. The conversation begins with a girl who couldn’t speak aloud. An iPad helped her deliver a speech about owls and win a prize. The technology hadn’t made her more intelligent. It had given her a way to show what she already knew. That story raises a difficult question: when we remove screens from classrooms, whose opportunities do we remove with them? As parents, we want our children to spend less time staring at screens. We also want them to grow up capable, creative and prepared for a world shaped by artificial intelligence. Paddy and Dan explore how to navigate those decisions, with practical examples from schools and their own families. IN THIS EPISODE ■ The screen time blind spot: Why blanket restrictions can overlook children who rely on assistive technology to learn and communicate. ■ “Necessary for some, useful for all”: How captions, dictation and other accessibility tools can benefit a much wider range of learners. ■ AI and homework: How to recognize when AI is supporting your child’s thinking and when it is doing the thinking for them. ■ The smartphone dilemma: Navigating friendships, online risks, parental controls and boundaries at home. ■ Children’s creativity: How AI can help bring a child’s original ideas to life, including Dan’s experience turning his son’s drawing into an animated creature. ■ The AI equity paradox: Why two schools with the same access to AI can offer their students very different opportunities. ■ Beyond test scores: Paddy’s argument for paying closer attention to confidence, independence and the barriers a tool helps remove. ■ When your school bans AI: How parents can model responsible use at home and share useful examples with teachers. If you’re a parent, teacher or school leader trying to make sense of screen time, AI literacy and inclusive education, this conversation offers questions you can take into your next discussion at home or school. What has technology helped your child do that they previously struggled with? Share your experience in the comments. Find us at https://theaieducator.io
OpenAI's always-on AI agents can now work around the clock. Here's what school leaders need to decide before they arrive in your district. This week's AI in education news: ChatGPT's new "dots" agents, the OpenAI model pulled over safety concerns, Meta's approval-first agent for small businesses, the America.gov AI assistant, the executive order directing federal agencies to say "Super Intelligence", Anthropic's leaked IPO prospectus, and Pope Leo XIV on AI risk. Each story comes with a practical action for principals, teachers and district leaders. Three actions for this week: build an agent register with an answer, draft, act rule, decide what student data never goes into shared AI workspaces, and put your AI vendors through a short risk and contract check. More at theaieducator.io
The UN launched a child-protection AI coalition this week, while Stanford's review shows schools have almost no US classroom evidence to go on. This week's episode covers the UN coalition and the White House access initiative, what NPR and Stanford found about the evidence base for AI in K-12, MIT's "illusion of learning" warning, England's Public First report on young people and AI, and what Massachusetts districts and the Microsoft/AFT privacy standard mean for your school's policies and contracts.
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