This article argues that feature-based machine learning breaks down in unstable systems and introduces force-based modeling as a superior abstraction. By focusing on directional pressures, equilibrium, and system dynamics, it shows why forces explain behavior, enable scenarios, and outperform static features in volatile environments.
☆15Dec 12, 2025Updated 7 months ago
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