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G @TheDiaryOfACEO just between you and me. I fixed the alignment problem because i… ytr_UgyrcabY0… G The Tesla not having self driving cars everywhere is only cause Musk refuses to … ytc_UgxvJKj-r… G remember when AI was just a funny thing to make low quality short videos? ahhhh … ytc_UgxfioCEo… G Pro tip: If you add "-ai" to your search it won't give the (usually incorrect) A… rdc_n8j3d0r G So good to hear some experts calling for sanity. Some people have practically lo… ytc_Ugx1g1sq6… G Hope this AI threat makes people chose education streams other than software eng… ytc_Ugx3zw7-J… G AI is great when it has a distinct goal or problem it's solving, like the exampl… rdc_maygqq3 G Why does everyone act like Waymo doesn't use AI? This isn't AI versus a pre-prog… ytc_Ugwl6b8Rr…
Comment
Okay people need to learn statistics. Nothing is perfectly balanced or exactly in the middle. For instance more than half of people are right handed. This means that a logical system like a learning program (AI) will categorize people based on all sorts of arbitrary metrics. What you're calling racism is actually an expression of true statistics but without humanity or politeness. As with the left handed example above, every ethnic and physical categorization will be more more or less involved with any specific thing. One ethnicity must have more mailmen than any other ethnicity because nothing is perfectly equal. We also have absolute numbers versus a number corrected for percentage population. So two different ethnicities can both have the most green bean lovers: one by absolute numbers, and the other as a percentage of population. This remains true for negative facts too; there will always be a leader in deaths by sepsis because nothing is perfectly balanced or in the middle. The problem is that people expect a learning program to be sensitive about ethnic statistical facts. That says far more about us than it does about the computer. We often lie by omission because the general population will get upset if they knew things were never perfectly balanced or in the middle.
youtube AI Bias 2023-01-26T21:4…
Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyunclear
Emotionunclear
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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