Raw LLM Responses

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Comment
This is not how LLMs work. They construct responses by predicting the most probable next word in a sequence, one token at a time. This process is based on statistical patterns learned from vast amounts of training data, not human-like understanding. The specific word is selected using decoding strategies that interpret the model's probability distribution over its vocabulary. It is not "thinking", just predicting the next word in a sequence. During training, the model analyzes relationships within this data—such as how words typically appear together in context—and uses that understanding to predict the next most likely word when generating a response, one word at a time
youtube AI Harm Incident 2025-09-11T14:2…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
[ {"id":"ytc_UgzLXq27qfxEo4ZbGdF4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}, {"id":"ytc_UgxXS8pXVsZrBByBlgR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_UgwQQlUVxmOjLUpknrN4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"liability","emotion":"fear"}, {"id":"ytc_UgxApgcM2b96LJ-BBhB4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"industry_self","emotion":"approval"}, {"id":"ytc_UgzQJS8_2OmLGOZijQl4AaABAg","responsibility":"user","reasoning":"deontological","policy":"unclear","emotion":"outrage"}, {"id":"ytc_UgzagsyZaKUS66iwQXB4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"ban","emotion":"fear"}, {"id":"ytc_UgxnryVMeqVS5W81F2d4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_Ugzzk1xlZy9b5d78vuF4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"}, {"id":"ytc_Ugz7danUOFL9GATByKV4AaABAg","responsibility":"developer","reasoning":"mixed","policy":"regulate","emotion":"mixed"}, {"id":"ytc_Ugy0ZefBS7Z9cq9lplR4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"ban","emotion":"outrage"} ]