Raw LLM Responses

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G Not staffed .....yeah rubnish less interaction for children they want kire menta… ytc_UgxE9HJpo… G Unfortunately u need to watch who’s feeding AI, and it will blow every humans mi… ytc_Ugyp0mYSp… G AI is NOT on the same level as a damn calculator dude. A calculator can not writ… ytr_UgwrcIExo… G Best Headings for you, dear reader, and for me to refer back to at any time. I h… ytc_UgyQnRboa… G The USA practices individualized medicine that is largely subjective, often base… ytc_Ugy8Xa97X… G who fuels these driverless trucks on the road? I've never seen an attendant in … ytc_Ugw9G2a3G… G AI is useful but laws should be implemented to protect human labour, using a cer… ytc_UgzDBSGs6… G What you all have been sold as AI is trash. It's far from ready. We are being so… ytc_UgzXxkXIt…
Comment
He argues for existential risk. I respectfully disagree. Flaw #1: "Scaling Laws Create Intelligence." The theory is that more data + more compute = a smarter being. This is fundamentally wrong. As I said, more data and compute → solving (in probability) longer tasks — that's not intelligence. Flaw #2: "AI Learned Math." The claim that AI went from failing addition to winning Math Olympiads is not true. Large Language Models are still poor with numbers. They have learned to use tools, not to reason mathematically. Top mathematicians like Terence Tao find AI unusable for their work. It generates pages of proofs that require days to debunk. Often, a single tiny error invalidates the entire result. This leads to the core problem of trust. Flaw #3: Jobs = Accountability. Here is the fatal flaw in the AI-only enterprise. Imagine replacing every process in your company with an AI agent. One person now holds the accountability for everything. You must either check the quality of every single output, or trust the system blindly. This is an impossible burden for one individual. Accountability must be shared across a structure. This is why we need more humans, not fewer. (Charafeddine Mouzouni)
youtube AI Governance 2025-09-10T00:4…
Coding Result
DimensionValue
Responsibilitynone
Reasoningdeontological
Policynone
Emotionmixed
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
[ {"id":"ytc_Ugx8hRVSWKPGZgubCax4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"liability","emotion":"approval"}, {"id":"ytc_UgzqfnrC0bP_pHKlbj54AaABAg","responsibility":"distributed","reasoning":"deontological","policy":"regulate","emotion":"outrage"}, {"id":"ytc_UgyvoQSU_MjFP8i40-p4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"fear"}, {"id":"ytc_Ugxpgqr8ouNmrGs5fcZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_UgzlR24E335sOvhewBd4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"}, {"id":"ytc_Ugxt3iP4tQrZGInkS1V4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"mixed"}, {"id":"ytc_UgxutsU4mLOA6QkZN3B4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}, {"id":"ytc_Ugyo3yfqOMMnorJp3bd4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"}, {"id":"ytc_UgxKKk3saXgD8Rfgwox4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"mixed"}, {"id":"ytc_Ugzl1pS-a5KtizO61gZ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"ban","emotion":"fear"} ]