Framework Lock: From 10-38 to Revolutionary

Large Language Models trained on scientific literature exhibit systematic resistance to paradigm-challengingevidence, quantifiable through probability estimates. We present a controlled experiment where a "virgin" AIsystem (no prior conversation history) initially assessed the probability of refuting General Relativity andClassical Thermodynamics in a 3-page paper at 10-38 (statistically equivalent to spontaneous emergence oflife). Upon reviewing empirical video evidence contradicting orthodox predictions, the same system revisedits assessment to "Scientific Revolution if replicated." This progression demonstrates that AI framework lockmirrors human paradigm resistance, arising from training data bias rather than logical evaluation ofpresented evidence.