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cs.LG2025
On the creation of narrow AI: hierarchy and nonlocality of neural network skills
Eric J. Michaud, Asher Parker-Sartori, Max Tegmark
We study the problem of creating strong, yet narrow, AI systems. While recent AI progress has been driven by the training of large general-purpose foundation models, the creation o…
cs.LG2025
Physics of Skill Learning
Ziming Liu, Yizhou Liu, Eric J. Michaud +2
We aim to understand physics of skill learning, i.e., how skills are learned in neural networks during training. We start by observing the Domino effect, i.e., skills are learned s…