Raw LLM Responses

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G Regardless if AI will replace workers or not, it revealed the true colors of the… ytc_UgyuXvpAS… G The classic good pitted against the evil. Theres an evil AI and whats seen as th… ytc_UgwTmEBlX… G its called prompt engineering and you can take entire training courses on it to … ytc_Ugymj2iDz… G Make a deepfake of those same politicians saying and doing things they didn't do… ytc_UgxO4zRou… G Hilarious anthropomorphic BS….THE. neural networks are feed by humans and human … ytc_UgzJ2tCyr… G Thankfully however it's all fake, comprised of three guys wearing chromakey gree… ytc_UgxdOi0v4… G No one wants to listen to an AI generated podcast, champ. They want the personal… ytc_UgzpgULcd… G Stopping support for cloud computing is a proposed, though drastic, approach to … ytc_UgzXYqE5p…
Comment
Context engineering has its limits too. Engineering the context does not prevent the ai from making mistakes or forgetting the context you gave. There is a point where you engineered the hell out of your context. Then fixed the outdated libraries and inevitable bugs produced. Even if your wrote unit and e2e tests that all pass and the software runs. You still don’t know the code. And one thing has become clear. You can’t trust code written by an ai. So you really have to know and understand every bit of it. And by that point it would have been faster to write it yourself. You would have learned some things. And you would have the feeling of accomplishment. That’s something ai won’t ever produce. Ai is a tool. Use it to learn and amplify your ability. Not learn how to use it and amplify its capabilities.
youtube AI Jobs 2026-02-13T18:5…
Coding Result
DimensionValue
Responsibilityai_itself
Reasoningdeontological
Policynone
Emotionresignation
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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