Raw LLM Responses

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Comment
Learning is still very relevant to train curiosity and to obtain the skill of coming up with the right questions - some of which still cannot be answered correctly by AI. For all those questions that CAN be answered by AI, it still helps to know what you should ask at what time. AI is at the moment very inept at doing it autonomously; and it also sucks at weighing/scoring the possible alternatives by simulating consquences, you know, the actual intelligence/reasoning. For the most part AI right now is a retrieval tool, a better search engine (when it does not make up stuff). But information retrieval alone is not the point of intellectual or economically sensible work. The point is, most of the times, constrained optimization under uncertainty. Paradoxically, the AI can't pick the right goals and can't pick the right/efficient optimization approaches and can't decide which uncertainties matter either. Even if the goals are predefined, it fails - it will optimize toward a different goal than the researcher/trainer thinks it has been given.
youtube 2025-07-31T14:5…
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policynone
Emotionmixed
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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