Raw LLM Responses

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Sabine is spot on about interpolation vs. extrapolation. It’s not just a software bug; it’s an architectural dead-end. Dr. Juyang Weng (who focuses on brain-like 'Developmental Networks') argues that because LLMs lack a mechanism for true autonomous generalization, developers are forced into 'Post-Selection Misconduct'—essentially cherry-picking the best probabilistic guesses to make the model look 'general.' It’s the 'Open Skull' method Sabine hints at, and it’s why we’re hitting a wall. Full breakdown with Dr. Weng here: https://www.youtube.com/watch?v=TFiMzCr1ed4
youtube 2026-04-24T15:4…
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningconsequentialist
Policyregulate
Emotionapproval
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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