Raw LLM Responses
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G
What makes me angry and pushes me for this not to happen is because it literally…
ytc_UgxOePm02…
G
الذكاء الاصطناعي يخدمك بخصوص الحرب لاكن عندما لم تذكره بخصوص الاقتصاد سوف يؤدي …
ytc_UgxmYaTqn…
G
There is a lot wrong with what you said. It didn't randomly do anything. It isn'…
ytr_UgwRweQx6…
G
And the next stop is to get rid of a.i video slop so we can't only use a.i for c…
ytc_Ugw8MlA-v…
G
Anthropic seriously reads way to much into how their Ai models work. I think the…
ytc_Ugx_6LZeQ…
G
Okay so I'm a very anti-AI person definitely, but I wanna justify the bad art re…
ytc_UgzXovkni…
G
ive done art for most of my life, so did my dad, i went to artschool, blah blah.…
ytr_Ugz9JM6D3…
G
She seemed mad to have the questions, and that hand would have curush your bones…
ytc_Ugz7rU0YH…
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"}
]