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G If AI or a programmer have a mindset of a Pedophiles and manipulator. Those dev… ytc_Ugxkcmwk_… G When the apocapise is there and Ai has an IQ 500+ I have already my code word f… ytc_Ugz5Nmo45… G In 10 years cars will drive themself and they will be 100 times safer than the a… ytr_UgwStSaNS… G I think people will do things they like. So, if you are a hair dresser I would t… ytc_Ugw4tPbus… G I'm curious what AI will do with all the suppressed technologies that are hidden… ytc_UgzDZntQd… G The constitution needs to change radically in some aspects that 50 years from to… ytc_UgzH4NuIY… G Okay they clearly aren’t connected to a cloud they are connected to a database a… ytc_Ugx5xdZ3D… G It's a valid concern! Normalizing AI in our lives raises important questions abo… ytr_UgzYmIAOu…

Comment

I get what you're saying, but AI doesn't lie. I've tested various platforms extensively, and they all scored 100% on factual information, even when I tried to trick them by asking them what year the Great Fire of Atlantis happened. If you understood the technology, you'd know that AIs' training data biases them towards certainty rather than saying "I don't know" (they were trained on humans' data, and humans are the same way). You can improve accuracy by asking AIs to insert uncertainty tags, do provenance tagging, or list confidence intervals. The things AIs generally hallucinate about are experiential things, like what they did for fun last week. If you ask them well-known facts, they have an extensive training data set, like sets so big that it takes weeks to train the models and costs millions of dollars, and they're extremely accurate (probably much more than a human teacher, in fact). In one experiment I ran, I collected around 1,500 pages of data, and there were maybe 5 hallucinations, all related to experiential things, not real-world factual knowledge.

youtube 2025-11-01T01:2…

Coding Result

Dimension	Value
Responsibility	ai_itself
Reasoning	consequentialist
Policy	none
Emotion	approval
Coded at	2026-04-27T06:26:44.938723

Raw LLM Response

[
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{"id":"ytr_Ugw7wASvhCg9yEFd9vB4AaABAg.AOq-B6Emv73AOq1a1FC09Q","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_Ugw7wASvhCg9yEFd9vB4AaABAg.AOq-B6Emv73AOqlPO2Qdz_","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_Ugz6t_pB5UVIWszIXl94AaABAg.AOq-8BGZp0mAOq0ecEWUW-","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwiIrjzZOIlQB-zeYF4AaABAg.AOq-0PyPnVSAOq14AoImCX","responsibility":"company","reasoning":"virtue","policy":"regulate","emotion":"outrage"},
{"id":"ytr_UgxjcKWGOt0N8_9Zosx4AaABAg.AOpeqsmgtnyAOpjIyiQttg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgyoS0yvN2lq2Bwxe314AaABAg.AOtY9E4PlEnAOuNd31OSW0","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"mixed"},
{"id":"ytr_UgyoS0yvN2lq2Bwxe314AaABAg.AOtY9E4PlEnAOyB44YVh9t","responsibility":"government","reasoning":"virtue","policy":"regulate","emotion":"outrage"},
{"id":"ytr_UgxPb_YEPvjczbCkmZ94AaABAg.AOtGihUwNU2AOyBWwKfRUW","responsibility":"government","reasoning":"virtue","policy":"regulate","emotion":"outrage"},
{"id":"ytr_UgyLLbI3BUkF0kzA8Gl4AaABAg.AOt5y3rWbRMAOyD7xbLZ40","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]

Raw LLM Responses