Raw LLM Responses

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G It's the reason why the military, the U.S. anyway, is trying to get rid of Anthr… ytr_UgxIZB0MJ… G This was 2023 when AI wasn’t even that good. Imagine how much faith people have … ytc_Ugxq3voGc… G My only joy as an extrovert is that I'm so good at real life convos that I negle… ytc_UgxzOCAdG… G This level of AI has been used behind the scenes for many many years! We call of… ytc_Ugw4u10vg… G i think it is important to note that bernie sanders is not saying full stop that… ytc_UgxDZUt1p… G I just got a huge insight it won't be the agents rights only, it is going be hum… ytc_UgxVgL9kd… G i generally tend to not believe ChatGPT about anything it says about itself - th… rdc_my6bs44 G And we would be applying these to fully functional robotic bodies... "Nah, im ok… ytc_UgyYnk0TY…
Comment
What a BS talk! AI systems do not know what the meaning behind words is, because they are just tokens for AI systems! AI systems cannot doubt and therefore cannot identify logical contradictions. AI systems cannot think and therefore cannot learn by itself! That's why the LLMs of AI systems need to be trained on such gigantic databases so that AI systems can atleast make an impression of "intelligence". But AI systems are not intelligent, they are just heuristic forecasting machines juggling with weighted probablilities! If their training databases do include propaganda so does the answers of AI systems. Therefore the old IT rule applies: Garbage-IN => Garbage-OUT ... ! ... The quality assurance process for these gigantic databases used for training of LLMs decides about the overall quality of results produced by AI systems. If the user of AI systems wants to be able to judge the quality of answers from AI systems, they need to know the correct answer already upfront. And that's the main reason why AI systems can only in the hands of knowledge workers become usefull, effective & efficient! Otherwise AI systems will lead to pure confusions of the people!
youtube AI Governance 2026-02-03T07:5…
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningdeontological
Policyban
Emotionoutrage
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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