Raw LLM Responses

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My thoughts about automated AI improvements: the automation only works if, and only IF, there's some sort of 'judge' which decides if a new AI version is better. Yes it has already been done for math, due to the fact that you can check a math solution. You can't judge creative thinking or out-of-the-box thinking, clever problem solution and so on. You might argue that you could run a bunch of existing AI benchmarks, true, but that would create a benchmark-optimized AI, nothing more. The AI would do great at the benchmark but suck at everything else. Also you need MASSIVE processing power. Yes I know they're currently testing automation with only a fraction of the original training data, and therefore saving processing power. Still no one is even sure if you can scale up the results of a smaller AI to a 'full' AI.
youtube AI Governance 2025-08-26T16:4…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policyunclear
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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