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What you’re seeing isn’t just a theme-park experiment, it’s an early glimpse of a future where dolphinariums are replaced by code, sensors, and storytelling instead of live animals.

This marks a shift from prompt engineering to capability engineering where AI systems are upgraded by importing skills, not rewriting prompts.

Karpathy’s post reads less like a complaint and more like a warning: programming isn’t dying but the old mental models are, and even the best engineers now have to relearn the craft from scratch.

AI skill is no longer about knowing which model is best, it’s about knowing how to extract leverage from any of them.

Software development is crossing from human-written with AI assistance to AI-written with human supervision and this is likely the slowest this transition will ever be.

China isn’t just experimenting with futuristic transport, it’s systematically pushing maglev toward air-travel territory, where trains start competing with planes rather than cars.

MIT isn’t just teaching how to talk to models, it’s teaching how to make AI act, which is quickly becoming the most valuable skill in applied AI.