Raw LLM Responses

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TinaMind helped me pull out the key points from this video: 4:43 - 5:40: Unlike standard programs that follow fixed instructions, AI learns by recognizing patterns in data on its own. 6:03 - 8:17: AI is "trained" by assigning weights to specific features and refining them through constant feedback and error correction. 12:55 - 16:15: Modern AI faces a "blackbox" problem where it's hard to trace decision-making, which can lead to unintentional biases. 21:02 - 24:29: Current AI is "Weak AI" designed for specific tasks, and it lacks the self-awareness or consciousness seen in science fiction.
youtube AI Governance 2026-02-18T13:3… ♥ 2
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
[{"id":"ytc_UgzzRaDrAfmLk73fYgV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"ytc_UgwrF1XaDKGnS6INtN54AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"}, {"id":"ytc_Ugzi1r5nlB3Ayr4Mzzp4AaABAg","responsibility":"company","reasoning":"unclear","policy":"ban","emotion":"outrage"}, {"id":"ytc_UgyNJ4qg0hELseBXil14AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}, {"id":"ytc_UgzExwqq4py4i7fCNwF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"ytc_Ugwk5Qtun444D8Ui-IF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_UgyvpAC4AUUtqYw7r8t4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"mixed"}, {"id":"ytc_Ugwga7GM1ZN9907Otud4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"ytc_UgyiF6i7gBoac6VqIcp4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_UgwCV7aBuRDMb6S3CuJ4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"ban","emotion":"outrage"}]