Dr. Neil Hopkin's paper explores the complex relationship between artificial intelligence and human cognition. It questions whether the increasing reliance on AI tools, such as AI tutors and problem-solving aids, is undermining our ability to think critically and deeply. The paper examines how cognitive offloading impacts memory, learning, and problem-solving across various domains, raising concerns about the potential loss of intellectual depth and independent reasoning. Hopkin cites numerous studies demonstrating that while AI can improve efficiency and accuracy, it may also reduce cognitive engagement and create an illusion of understanding. Ultimately, the paper urges educators and policymakers to cultivate skills that AI cannot replicate, ensuring that AI enhances human thought rather than replacing it.

This podcast examines the implications of two contrasting AI models—ChatGPT, a generative AI, and DeepSeek, a precision-focused search engine—for education. Discussing Dr Neil Hopkin' latest article, the AI hosts contrast the two platforms capabilities, arguing that ChatGPT's breadth risks superficial learning while DeepSeek's depth may limit accessibility. The piece explores the philosophical implications of choosing between these models, considering their impact on critical thinking, creativity, and equity in education. Furthermore, the ethical considerations of using AI in education, including transparency, accountability, and bias, are analyzed. Finally, the podcast emphasizes the need for intentional integration of both AI types to create a balanced educational ecosystem.

This video podcast is part of a new series for 2025, in which I examine some of the possible forms of the future of education as a result of Artificial Intelligence. In this episode, I start the series with the consideration of what might happen to education and schools if AI quickly advances beyond human intelligence.