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G This is why they are working desperately to keep us from regulating AI, they hav… ytc_UgwZmxSlj… G I remember when my tea teacher had us use ai to generate a comic strip for my hi… ytc_UgzQWY2jH… G This is only accurate for AGI. Not probablistic A.I. which is temporary but stil… ytc_UgzKSOmDg… G Lol, they are trying so hard to not say there is a recession that they will blam… ytc_Ugz7bI3Xb… G Does ChatGPT actually use user chats as data for training? Because that feels li… ytc_UgwvQLz9W… G Well I mean people post pictures of the hand drawn art all the time it would be … ytr_UgwS8l6VS… G Why do I feel like all these videos are AI. It doesn’t feel real or hasn’t set i… ytc_UgxlYJcXw… G you guys know what I HATE THE INTERENET THE INTERENET ITS THE WORSE THEN A.I MA… ytc_UgzQSUV5i…
Comment
My tips without watching this video: 1. The most convincing fakes can appear in interviews where there is not moving background and mainly the speaking face is visible. What matters most is the time of the video and the number of jumps/frames. Long scenes/interviews are probably not AI but it doesnt mean AI cant add some short situation inside existing film, change something/manipulate. 2. Physics. Sometimes there is no running through the bucket, but usually everyone knows what walking or running looks like, and AI almost always isnt perfect in physics - as for me all characters are unnatural from aligator video (and i didnt recognized problem with bucket) 3. Faces in the crowd, strange behavior in the background - the surroundings usually reveal the most, but mostly strange faces, strange cars, strange road situations/pedestrians - almost all know that 4. When there are many similar elements - they can blend together, which is more or less an example with strange legs/morphs 5. Different short frames and you can see 3 different characters. 6. Many AI models use similar faces, and authors of AI videos/graphics could sometimes recognize the AI ​​model by which the material was created.
youtube AI Harm Incident 2026-01-26T22:1…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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