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The article questions whether large language models can independently recognize and challenge foundational assumptions in science to achieve paradigm-shifting breakthroughs, drawing parallels to human innovations like Einstein's theory of gravity.
Yann LeCun contrasts the engineering mindset (focused on product innovation and shipping good-enough solutions) with the scientific mindset (focused on asking new questions, proposing solutions, and rigorous methodology), noting both are activities rather than identities and that product innovation builds on earlier scientific advances.
Marc Andreessen on the Joe Rogan podcast shares 17 provocative takes on AI, including claims that AGI has arrived, top models surpass human experts, and AI is transforming medicine, therapy, coding, and science.
A new paper introduces GIANTS-4B, a 4-billion-parameter model trained with reinforcement learning to predict scientific insights by combining ideas from foundational papers, achieving higher similarity and citation potential than larger models like Gemini 3 Pro.