Raw LLM Responses
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G
the only thing that artists are born with is a passion for creating; if you want…
ytc_UgydBcqt9…
G
Damn, Alex. I think you might be the one person who actually could make AI go cr…
ytc_UgwPeJr0i…
G
Wow... this group sounds like every group against AI in all movies.
“AI will e…
ytc_UgyhDHNod…
G
This shows that human effort will always be funnier and better than any ai, no m…
ytc_Ugxoe7eFJ…
G
@moonshadow1795i mean. AI has already got the data. It'a not gonna disappear re…
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G
Great episode, however you left out the work being done on "machine ethics" that…
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G
AI: reflects and exacerbates pre existing trends created by society
Researchers…
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they are doing AI like this because they just cant not do it anymore, it's liter…
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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"}
]