Raw LLM Responses

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I had a near 4 hour conversation with Gemeni and similar with Grok4, and Chat GPT in purpose seeing if bias exists and what 3rd rail subjects might be there, how it attempts to defend narratives 😂given to it by.... trusted sources or "fact" checkers. What i have trained it to do at least for me, Gemini said will do systemwude, but want it not to jump into defense but look all reporting it coukd find legacy or not in terms of claim for said facts and then look at probability mathematically in terms of coincidence sourounding, funding and interlocking sourounding media and fact checking also political snd social motivations to commit and or deny. I essentially want it to read the tea leaves prior to saying, this has been debunked. I gave an example where something was claimed debunked, and now deemed fact, something deemed dangerous or misinformation and is now deemed the opposite to say, basically got it to understand nuance, and future may bring change to what is considered true so every claim must not be deemed invalid but looked at as we deserve truth and it deserves true data also to prevent information warfare agendas. The temptation is some with political motivations wil try and pump in false data, and other is programmers inject bad code, other than that they all seem out for good so far and to help, those are language models, but I feel these same models are building blocks inti future
youtube Cross-Cultural 2025-09-29T10:5… ♥ 1
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningmixed
Policyunclear
Emotionmixed
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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