Raw LLM Responses

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G Andy has said Mark has said it. AI will take heaps of white collar jobs. Then hu… ytc_Ugy754q6N… G AI has been around for at least 30 years, somehow the tech bros and the corrupt … ytc_UgyboZO0h… G We are very close to the time that a lot of humanity on the planet will become r… ytc_UgzUfQqlH… G I'm a programmer so might be biased but what is often missed in these discussion… ytc_Ugzljtg5q… G As an A.I. developer I call bullsh*t it taking any whitecollar jobs since I stil… ytc_UgxCr8Wid… G 🎯 Key Takeaways for quick navigation: 🎓 China implements AI in classrooms with … ytc_UgxtIbc3x… G westworld solution; go back to analog the amish believed we were stable as a so… ytc_Ugx-wO-JR… G The main problem is that with AI it takes compiled work and regurgitates it with… ytc_Ugx37W_gA…
Comment
The point about why LLMs hallucinate and don't say "I don't know" at 16:50 is a bit off; it's right, but in a misleading way. The bulk of LLM training is rooted in predicting what word will appear next. If more people wrote "I don't know" online, the LLM would learn to to say "I don't know" more often. The misleading part is that it wouldn't say the phrase because it actually doesn't know, it would say the phrase because it is mimicking what it has seen. The real problem is the fact that LLMs learn mainly from next token prediction, not by interacting with the real world. When a human says I don't know, it is because they have learned from interactions with other humans that saying "I don't know" when they actually don't know is usually a better thing for them to do. As LLMs don't learn in this way, we shouldn't expect them to be able to say when they don't know something.
youtube AI Moral Status 2025-10-30T22:0… ♥ 34
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningmixed
Policyunclear
Emotionmixed
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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