Raw LLM Responses
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we must be very careful when anthropomorphizing these systems. first, as an AI r…
ytc_UgwyxmSZi…
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Why not create a security bot? An AI Police Bot that is designed to learn and st…
ytc_Ugzuq8vMt…
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We talked about the potential discriminatory applications of AI in one of my cla…
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I literally just finished watching a video on a new AI software that can replace…
ytc_Ugzn77sSh…
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serioiusely?!?!?!??? "AI WILL SOLVE CLIMATE CHANGE" ?!?!!!??? in the first 5 yea…
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They could ban algorithmic suggestions and force users to search for a specific …
rdc_nkq0h1r
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I want to see the letter and who signed it. Did anybody find the letter?
Edit: f…
rdc_cthv75z
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The only problem is humans would have to manually go through and remove sexist a…
ytc_Ugynlt-9M…
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
| Dimension | Value |
|---|---|
| Responsibility | ai_itself |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytr_UgwnGOGHF3uKzuxkUMJ4AaABAg.A7uWD8jGmsdA8IvnWfZU8c","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgzKUmdsp8FTPtngwWN4AaABAg.A6nU44vvzFNA7ApIOJAu3T","responsibility":"none","reasoning":"deontological","policy":"industry_self","emotion":"approval"},
{"id":"ytr_UgyeoUrPrkMf4Z2F_JR4AaABAg.A6EpFX3-BdMA8Im-Q7m2Yf","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytr_UgxBG1byki1SbFhH68d4AaABAg.A5orumW-4hXA8ImDhwBICO","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgxBG1byki1SbFhH68d4AaABAg.A5orumW-4hXA8P5jOWXbne","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwTRrX2S5z7NREvwG14AaABAg.A2v3TkU7LC9A2v3lLqtvZA","responsibility":"ai_itself","reasoning":"mixed","policy":"ban","emotion":"fear"},
{"id":"ytr_Ugz1zjx5aTfRCYdlEb54AaABAg.A1x4sSlyfh5A1zdX3wJ7Hi","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_Ugz1zjx5aTfRCYdlEb54AaABAg.A1x4sSlyfh5AJ7P9O5M6lK","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugz1zjx5aTfRCYdlEb54AaABAg.A1x4sSlyfh5AKYBqzvhKkl","responsibility":"ai_itself","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytr_UgzjmAPw5lZWTZUCxhl4AaABAg.A1IQDyt97GNA1Mn1HUDTzO","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}
]