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G ​@FromTheWombTotheGraveI don't know if many organizations even have a defined ro… ytr_UgySNnO2u… G Let's see: Stage 1: Correct. Stage 2: Mostly correct, but this is not context. … ytc_Ugzggv6ik… G 1. Cults 2. AI 3. ORANGE 4. ORANGE 5. ORANGE 5. ORANGE 😅😂 6. CONTROL… ytc_Ugxh4Alro… G NO THEY DID NOT. They are making outlandish claims because they don't want thei… ytc_UgwQx75tG… G They are training AI to build other AI and to auto update itself for "improvemen… ytc_Ugyk5wrqL… G I'm glad they're being very cautious about it. We don't need AI, in my opinion i… ytc_UgxKhmLlD… G Its green screened😂😂😂 the REAL person’s hand shortly disappears after the “robot… ytc_Ugwf_vfDr… G Or brains can move on to more complex things as ai takes care of the simpler. Ha… ytc_UgwR1Gqec…
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In my opinion, the solution to this is relatively simple, we restrict what text data is fed to AI! If it's trained only with text that falls on the spectrum between neutral and strongly moral, that is all it will know. The problem now is we're purely feeding it as much text as we can, with a complete lack of discretion. However, AI also performs better with mass quantities of data, so sorting the input data would be an immense task. Maybe the solution is to train a smaller model on identifying moral text, and having it filter the data input of the larger AI models?
youtube AI Governance 2025-08-27T04:3…
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningconsequentialist
Policyregulate
Emotionapproval
Coded at2026-04-26T19:39:26.816318
Raw LLM Response
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