DeltaDiff is a physics-guided inference method that predicts mutant protein structures from a baseline diffusion model without retraining, tested on three systems with nonlocal changes.
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A science of AI requires theories of training dynamics to predict outcomes from early signals, intervene on trajectories, and design procedures that reliably produce desired capabilities, biases, robustness, and safety properties.
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Position: Don't Just "Fix it in Post": A Science of AI Must Study Training Dynamics
A science of AI requires theories of training dynamics to predict outcomes from early signals, intervene on trajectories, and design procedures that reliably produce desired capabilities, biases, robustness, and safety properties.