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Longer-form thinking on AI in education and the practice of building with it — free to read.
Frictionless Isn’t Free: Why Motivation Is the New Bottleneck in Learning
AI removed almost every excuse not to learn — no cost, no waiting, infinite patience. What is left is the hardest part: actually wanting to. In 2026, motivation is the scarce resource.
Read articleThe Human Edge: What to Learn When AI Can Learn Anything
When machines can learn almost anything, the smartest thing a person can study is what stays scarce: judgment, communication, and the taste to tell good from merely plausible.
Read articleThe Offloading Trap: Using AI Without Letting Your Mind Go Soft
Offload the wrong things to AI and your skills quietly atrophy. Offload the right things and you free your mind for harder work. The difference is a learnable discipline.
Read articleProving You Know It: Rethinking Assessment in the Age of AI
When an AI can ace the take-home assignment, the take-home assignment stops measuring anything. The future of credentials is not catching cheaters — it is testing what only a human can do.
Read articleHow to Study as a Developer in 2026: An AI-First Playbook
Learning to code has not gotten easier — it has gotten different. Here is a practical playbook for studying as a developer when an AI can write the code faster than you can type the question.
Read articleBeyond the Chatbot: AI Agents as the Study Group That Never Sleeps
A chatbot answers; an agent acts. As AI agents learn to plan, use tools, and follow through, they are quietly becoming some of the best learning companions we have ever had.
Read articleThe New Classroom: How AI Is Reshaping the Way We Learn
AI has not replaced teachers — it has changed what is worth teaching. The skill that matters now is learning to learn with a machine that already knows the answers.
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