AI for science needs reasoning, not just data
# AI Won't Solve Science By Just Crunching Data AI tools are getting better at analyzing massive amounts of research data, but they're hitting a wall: they can't actually think through complex scientific problems the way human scientists do. To make real breakthroughs, AI systems need to learn how to reason through problems step-by-step, not just pattern-match against existing information. Without this kind of logical thinking, AI will remain a helpful assistant rather than becoming a true scientific partner.
Every few decades, someone announces that science has reached its end. In 1903, the revered physicist Albert Michelson wrote that the “facts of physical science have all been discovered.” In the 1980s, Stephen Hawking predicted that theoretical physics might be finished by the end of the century. Wi
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