What analog and AI education both get wrong

fast.ai provides educational resources and tutorials for learning about deep learning and machine learning. Readers can access courses, code examples, and practical projects to gain hands-on experience with  AI technologies. Additionally, they can learn about state-of-the-art deep learning techniques, model architectures, and real-world applications of machine learning.

fast.ai

Quantifying education through dashboards and standardized testing—whether analog or AI-powered—misses what matters most: deep engagement, holistic learning, and meaningful relationships. The atomization of skills (like reducing reading to discrete tasks instead of whole novels) has led to declining student interest and teacher burnout. High-stakes testing regimes from Texas to Australia show how metrics-driven approaches narrow curricula and erode creativity. AI education tools often amplify these same failures by over-optimizing measurable outcomes while neglecting human connection. Effective learning combines technology with community, creativity, and the freedom to become absorbed in meaningful work.

I Don’t Want a Learning Dashboard for My Child

Decomposing everything into granular skills

The birthplace of high stakes standardized tests