Raw LLM Responses

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Comment
It does make you think. Unlike AI. Here is one consistent behavior. You present her a problem asking for a set of solutions. She does what you asked for. You define a set of constraints which invalidates all of her solutions. You present your pattern, with your set of compromises fitting those constraints, she will congratulate you and right after the next prompt she falls back to the a pattern she was trained on, completely loosing the plot, completely wrong again. Neh, we are fine. AI just simply lacks the ability to understand. For that to happen she must be in permanent training mode, have full access to the data you have access to, naturally. And also understand it to a point where it can synthetize and apply new, never before seen patterns based on that data. If it can be done, we are looking at several orders of magnitude more energy use. Meanwhile the golden standard, ChatGPT is still bleeding money like crazy.
youtube AI Governance 2025-09-07T17:4…
Coding Result
DimensionValue
Responsibilityai_itself
Reasoningmixed
Policyunclear
Emotionmixed
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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