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open_problem: ax-2606.07327-40367028

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ax-2606.07327-40367028 Do we need more data, better data, or better models? (A central tension in the development of MLIPs echoes a long-standing debate in AI: should progress come primarily from carefully designed inductive biases or from scaling models and data? Sutton’s “Bitter Lesson” argues that, in the long run, systems that rely less on human-engineered structure and more on compute-enabled general methods tend to outperform those with strong built-in priors. In…) condensed matter physics / cond-mat.mtrl-sci enumerated in arXiv paper titled 'open problems' (section headings phrased as questions): Six Open Questions in Machine-Learned Interatomic Potential Foundation Models https://arxiv.org/abs/2606.07327   open   ts-synth unclassified 2026-09-02T17:57:21Z 2026-09-02T17:57:21Z

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