The $10 Trillion AI Revolution

A recent speech from Sequoia Capital, "The $10 Trillion AI Revolution," argues we're in a "Cognitive Revolution" that will reshape the global economy. It's a powerful thesis.

Key Insights in Brief

• From Certainty to Leverage: The core shift is from writing rigid, rule-based software (certainty) to building goal-oriented AI agents that figure out how to solve problems (leverage). This allows one person to accomplish the work of many.
• FLOPs per Knowledge Worker: A new metric to measure production. Just as the Industrial Revolution used horsepower, the Cognitive Revolution will be measured by the computational power available to each worker.
• Real-World Validation: Tangible results and value creation are becoming more important than abstract academic benchmarks for measuring AI's success.

From Theory to Code: The Cognitive Leverage Engine

To translate these concepts into a hands-on experience, I'm building the Cognitive Leverage Engine.

Explore the Project on GitHub: https://github.com/zhu-weijie/cognitive-leverage-engine

This project is a practical lab where you can:

• Simulate the "FLOPs per knowledge worker" metric with an interactive API.
• Explore the difference between "certainty" and "leverage" agent architectures.
• Experiment with forward-looking AI themes like persistent memory and voice interfaces.

The best way to understand the future is to build it.