Researchers built an AI that taught itself 300 years of physics with zero physics knowledge It rediscovered Newton's second law, law of gravitation, and energy conservation from scratch. In 1907, Albert Einstein had what he called his "happiest thought": gravitational mass equals inertial mass. It took him eight more years of agonizing work to turn that single insight into General Relativity. Now, researchers just built an AI that figured it out completely on its own. They call it “AI-Newton” an artificial intelligence system designed to do what human physicists have spent centuries doing: looking at raw, messy experimental data and extracting universal laws. Not by curve-fitting. Not by guessing. By inventing its own concepts. Here is how it worked: They fed the AI a massive, noisy dataset of mechanics experiments involving springs, balls, and celestial bodies. The system started with zero understanding of physics. It didn't know what mass, energy, or gravity were. It only knew space and time coordinates. Then, it went to work. Using an autonomous discovery workflow powered by symbolic reasoning, the AI began processing the data step-by-step. When it hit contradictions in the data, it didn't crash. It performed "plausible reasoning"—heuristically inventing new abstract concepts to make the math work out. It independently invented the concept of mass. Then momentum. Then energy conservation. Then, completely unprompted, it derived Newton's Second Law and the Law of Universal Gravitation from scratch. The craziest part isn't just that it found the right answers. It's how it found them. The system mirrored human scientific progression. It didn't dump every equation at once. It moved in incremental phases, solving simple mechanics first, encountering anomalies, inventing intermediate concepts like potential energy to fix the gaps, and finally scaling up to universal laws. For centuries, humanity's greatest scientific breakthroughs have been born from human intuition and struggle. We assumed true scientific reasoning required a biological mind. Now, an AI has looked at raw data, ignored the noise, invented its own vocabulary of physics, and rewritten our textbooks from zero. If AI can autonomously bootstrap its way to understanding the laws of the universe from a blank slate...