Raw LLM Responses

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G Absolutely ridiculous that facial recognition is still used when it's been prove… ytc_UgwbCouK2… G I disagree. skilled humans provide precise, articulate prompts—our "wet" brains … ytc_UgxiBvsb9… G Just as an aside, the path to victory here is to make the process of automated t… ytr_UgwU0I_di… G It's not a telegram or a deep fake problem. It's a Korean people, especially Kor… ytc_UgwtzIVRT… G Artists should've seen this from a mile away. Robots and computers in general ha… ytc_Ugyq_ZPqR… G As a ML Engineer, I can say this guy is saying bullshit. Driving a car is not cr… ytc_UgxrWxyIs… G It’s great to hear you like Sophia! Her perspective on wisdom and learning reall… ytr_Ugw2EoYwD… G Okay this is admittedly a very minuscule extremely tiny "issue" in the large sco… ytc_Ugwv0unBx…
Comment
@bonniematthews7611 The reason that it is possible to work around the "guardrails" is because these AI models are not intelligent at all. It is just a way of using statistics to guess what words are commonly used together in the context of the prompt. So there is no such thing as an AI model being "willing" or smart or anything. They will in fact bold faced lie right to you as well. But it doesn't know what a lie is. It is just not created in a way that it can recognize that it doesn't have enough training data to give accurate mathematical statistics that are meaningful for the prompt given. They are getting better. I self host ollama and open-webui and you can have the AI model search the web and eloborate on topcs that it doesn't have training data on yet. You can also provide documents, PDFs, and ask it questions about the contents etc. They are getting better.
youtube AI Moral Status 2025-06-08T21:1…
Coding Result
DimensionValue
Responsibilityai_itself
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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