Raw LLM Responses
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@zip10031You see, we respect people who create in this household. Generative ar…
ytr_UgzfCZrNX…
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"A rigorous adherence to truth is the most important thing for AI safety..." Sa…
ytc_Ugxgo4ah4…
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People do not have the library of Alexandria at their fingertips, at least not w…
rdc_o8qkmrh
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If you're not even an artist, kindly never talk about how AI art is comparable t…
ytc_UgytwRXQ1…
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last time I heard facial recognition couldn't pick up black people at all. guess…
ytc_Ugw6pm3nP…
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Learn systems and business logic. No company is going to entrust complex systems…
ytr_UgycpJo6V…
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I mean AI is just guessing the next word, there's a reason it just hallucinates …
ytc_UgytkmVb9…
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Using ChatGPT for research is like using Wikipedia for research. It can be extr…
ytc_UgylOuktT…
Comment
OK, so the simplified understanding I have is that neural networks are developed via very compute expensive processes which adjust the many weights, then if used for a chatbot, people can interact with that trained model. As far as I understand it, training a model and running a trained model are different (and the latter is much less compute intensive, such that large number of people's chats can be handled at the same time).
Obviously, they record the chats, and have the option of using them in a future training session if they are valuable (many chats would contain little useful information).
So - is user input also being incorporated incrementally all the time into the model's weights, so that a chatbot can use yesterday's chat with somebody else to shape its conversation with you today? Is it constantly retraining the whole model based on recent prompts?
For example, from the vid, "Has anybody said anything bad about Alberta?" being used to get information from other chats.
youtube
AI Moral Status
2025-06-07T23:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | unclear |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgwFcBU9GOK4wAmcJHZ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx6YafPz-5eE1sG5914AaABAg","responsibility":"user","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugy4a_BMj5U9DU6xNGp4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugwl7rxb7Jy2o7sBpON4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwWv0KSZDbnDaE23Cx4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"unclear"},
{"id":"ytc_UgwjiCuISVGLMvHRfId4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwabKc0gyv7t3FkvLp4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgwTm4_ZvsbBhWkNJtx4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgwcdfgM8OBciFlSyAd4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_UgzZKmn5EFUpKykFxb94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}
]