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G you guys would be against using steam engines because it takes jobs away from th… ytc_Ugz7ZRsh6… G If this guy is referencing how dangerous AI can be then there should be severely… ytc_UgyP01MJl… G The real issue was the hype cycle bubbled up to non-technical execs. WE, actual … ytc_UgzPY8lSN… G its the same we all heard all over again the timing the chorus the voice .... it… ytc_UgwLf6th1… G @purpleghost106a technology does not have to be perfect, or even good, to change… ytr_UgxZFNMm0… G i'm like... really *bad* at art, and i don't often post my art on social media, … ytc_UgxS4OXo1… G As someone who doesn't care (like, seriously, the issue of artists getting repla… ytc_Ugw2OMlTw… G I already used this exact answer to someone else but it explains the real proble… ytr_Ugx0Q2hrw…
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 Then fixed the outdated libraries and inevitable bugs produced.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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