Raw LLM Responses

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G Disagree - chatGPT is so inaccurate and so many incorrect responses -- even test… ytc_UgyPwSYdl… G Such an important topic. Here in the US where we are so divided and they use f… ytc_UgyOcNRPJ… G So AI acts exactly how the elitists in our world do. By ending the lives of anyo… ytc_UgzOhK3t4… G Trumpians are the death squad. They want to rule and be served. They do not wa… ytc_UgzEIt3RQ… G I love this. I am a computer technician by trade, and hobbyist in my own time. … ytc_UgyVMrcTY… G V12 of FSD (full self driving) is proving itself to be very capable. Tesla are l… ytr_Ugx099Num… G id rather deal with a robot than some outsourced indian customer service whose d… ytc_UgzQXMTFU… G Did y'all really think that AI wouldn't be used to reinforce the establishment n… ytc_Ugw84KBuO…
Comment
@ashleybishop7248 Also, humans are more likely to mistake two people that aren't of their own race for each other. It's not because muh wacism. It's because of familiarity bias, a cognitive bias present in all humans. This tech doesn't have that in quite the same way. The reason these techs don't work as easily on dark skin isn't because of a cognitive bias. I've seen it explained as being because light skins tends to reflect light better, meaning facial structures are easier to identify for these algorithms, particularly certain parts of the face. Darker skin tones reflect less light- blame the laws of physics for that- so certain features are harder for the tech to map. Apparently Asians also have trouble with facial recognition too, but likely for different reasons, as east asians tend to be light skinned. These algorithms are complex, so it may be that certain facial structures that are common across a certain ethnic group can throw it off, cause it to be more likely to match people based on that.
youtube AI Harm Incident 2023-08-14T15:3…
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policyunclear
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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