Raw LLM Responses

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G Taking jobs! This will increase our natural anxieties about increased competitio… ytc_UgzkrFPRM… G Thank you for your thoughtful comment! We're glad you enjoyed Sophia's animation… ytr_Ugz1oJKr4… G As much as I appreciate you being so chill and kind and nice and well spoken RAA… ytc_UgzJ75a8d… G Nathan is right that 'learning to learn' is the only safety net left, but for de… ytc_Ugz00x4-D… G If anyone sees my other comment, I was watching all the way through, and then I … ytc_UgwV4_Edv… G I never understood the threat of AI. Couldn't we just like, cut off the power to… ytc_UgydAuDnd… G Well, we aren't anywhere near true AI being created, so it's a bit of a moot poi… ytr_UgiwChM3E… G I am sure people inventing the AI ex self payment cashier accounts in supermarke… ytc_UgwbujuDT…
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 Then fixed the outdated libraries and inevitable bugs produced.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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