[2026-Sep] ChatGPT 5.6 Sol: Finding a Plasticity Theory Accurate To 2-5%?

ChatGPT 5.6 Sol Looks for a New Breakthrough in the Theory of Plasticity.

thinkmelt@protonmail.com

Sep 5, 2026 • 1 min read

ChatGPT 5.6-Sol Renders atypical Plasticity Testing Images.

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Grok 4 postulated a theory that could calculate plasticity within 2%, however it was soon refuted as bunk by ChatGPT-5.6 Sol. ChatGPT-5.6 Sol later theorized that it would be more apropos to have a theory per element. Anyways - here is the results.

PIPD-2: Physics-Informed Process-State Ductility Predictor, using the published TA15 result of 3.36% test MAPE, the Mg-alloy result reporting 4.5% elongation error, and the 2026 496-sample beta-Ti work reporting R2=0.90R^2=0.90 for elongation and selected out-of-boundary predictions within 2.5% elongation error as evidence that the 2-5% regime is plausible in bounded material domains

PIPD2 Physics Informed Process State Ductility Predictor spacing fixed

PIPD2_Physics_Informed_Process_State_Ductility_Predictor_spacing_fixed.pdf

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