Raw LLM Responses

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G Very upsetting video. We should not afraid that we don't understand, e.g. comput… ytc_UgzJN32Bf… G The guy is a rainmaker and doomsday prophet, always thinking about the worst. AI… ytc_Ugzxk2GAU… G What happens if the present major AI entities get connected or communicate is so… ytc_Ugx9dFA9o… G I DON'T like AI teaching and probably would add another hour or two with qualif… ytc_UgyItbwQo… G Thanks for the conversation! Remember AI evaluates BASED ON THE INFORMATION WE … ytc_Ugxm0ceAd… G Without new reliable training data, AI will atrophy. We are in a bubble, and th… ytc_UgxabuYtv… G That first shot, the head nods and mouth animations were definitely similar, but… ytc_UgxJcMBSq… G 1) why use words that you then *bleep* out? Just choose different words 2) the … ytc_UgxQWpB88…
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I think you're optimistic that LLMs will get "much better". Over the last couple of years, there hasn't been a massive improvement. I also object to the term "hallucinations". Making stuff up is what this technology does - it puts words (well, tokens) in a sequence that seems likely based upon the training data. The problems you describe also apply when it's used to generate software code. People are actually less productive because they wpend more time futzing around with the prompt and debugging what the machine spits out. Sure, companies are using it to replace junior devs - which raises another problem: where are tomorrow's senior devs going to come from?
youtube AI Responsibility 2025-09-30T15:5… ♥ 11
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningconsequentialist
Policynone
Emotionresignation
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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