Forbes March 23, 2025
Science has always been a human endeavor, fueled by curiosity, creativity, and a stubborn willingness to question what others take for granted. But what happens when artificial intelligence begins to do the same—not just assisting human scientists, but independently designing experiments, analyzing data, and forming conclusions?
That question became more than theoretical recently, when an AI system from Japan’s Sakana AI generated a hypothesis, designed experiments and wrote a peer-rerviewed scientific paper on its conclusions, all without human intervention.
Titled Compositional Regularization: Unexpected Obstacles in Enhancing Neural Network Generalization, the paper was accepted as a Spotlight Paper at ICLR 2025, one of the field’s most prestigious machine learning gatherings. In a quiet way, this event marked a threshold: AI had...
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