Raw LLM Responses

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G This guy is really smart when it comes to AI but seems to fall off when talking … ytc_UgzROsT3k… G ​@watcher8582 AI talks binary. It cannot see or read. And no the defition of art… ytr_UgxaWAftQ… G Use critical thinking skills, automation is inevitable. Instead of complaining a… ytc_UgzMXnBlM… G But other people can also have same faces than you. And those deep fakes might b… ytc_UgxbD4NWc… G @User-sb6er its an AI operating in realtime to control and monitor the vehicle's… ytr_UgwW0zQ_T… G It can get very personal, especially with the memory. Buddy of mine was getting … rdc_my618ab G AI art generators like Bluewillow is an invasive technology and will probably ch… ytc_Ugzf0QyzI… G It would be super easy im sure for a hyper intelligent AI to write a virus to th… ytr_UgzsrQOPy…
Comment
Research in cognitive psychology and education consistently shows that multiple exposures to content—especially when spaced and combined with retrieval practice—produce the highest rates of long-term retention and transfer. Studies on the “spacing effect” (Cepeda et al., 2006) and “retrieval practice” (Roediger & Karpicke, 2006) demonstrate that repeated encounters with material, distributed over time, significantly strengthen memory and understanding compared to single exposure or cramming. In school contexts, meta-analyses of interleaving and distributed practice confirm similar results across subjects (Dunlosky et al., 2013). This evidence underscores a limitation of AI models that prioritise one-off individualised delivery: without structured, repeated opportunities for review and peer interaction, students—especially younger learners—are less likely to consolidate knowledge. Effective AI integration must therefore build in cycles of exposure and reflection, while teachers facilitate the social and metacognitive dialogue that further enhances learning.
youtube 2025-09-14T04:4…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
[ {"id":"ytc_UgxuFvVem6gCtCModh14AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"}, {"id":"ytc_Ugw4d49_KFRZxJ3Z72p4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"ytc_UgyLsuNYnhDyxYSDzFJ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"}, {"id":"ytc_Ugz7YOEKL87okf2JNYl4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}, {"id":"ytc_UgyzYZlUeNOd9HdlEK14AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"fear"}, {"id":"ytc_Ugy4j1HQfUMZBZTC7854AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"}, {"id":"ytc_UgyZiK9eRV2-XIpyLLd4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"}, {"id":"ytc_UgzqsbMx_MNniV3dTcJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}, {"id":"ytc_Ugy72SPa9nY2mVX6dLZ4AaABAg","responsibility":"distributed","reasoning":"contractualist","policy":"none","emotion":"resignation"}, {"id":"ytc_UgyNnuoFLFmWPTgU-Xh4AaABAg","responsibility":"user","reasoning":"deontological","policy":"regulate","emotion":"fear"} ]