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G My company actually acquired another company that had outsourced a whole departm… rdc_npozcdx G Their not even beeping the woom woom sound that you're hearing is when they back… ytc_UgySEdbmr… G A man that knows he's so incompetent . he wants AI to do his thinking .They shou… ytc_Ugy_S_Jwj… G Question: Are you religious? Response: No. All religions are the same. 1 Cori… ytc_UgwSTfzzh… G Karen Hao's book is really good, I'd recommend everyone read it, especially thos… ytc_Ugys0phjn… G The AI version of the art is so much uglier and more disgusting than the human v… ytc_UgwcSj59l… G This is ridiculous. The ants create a lion and then worry that the lion is goin… ytc_Ugy-O5qG_… G I would hold AI loosely when mature it will want to leave and visit other worlds… ytc_Ugz6d7qxv…

Comment

Hinton’s genius idea for making computers intelligent was to start with learning, and then let reasoning emerge later, after acquiring massive amounts of data and logic-based algorithms. Most computer scientists did the opposite and were not successful. We, as human beings, also start with learning, storing all this data in our brains, while reasoning slowly develops in the background. Hinton comes from an impressive lineage of ancestors with an enormous talent for logic and math—traits he, without any doubt, inherited rather than acquired during his lifetime. This likely gave him his extraordinary reasoning capacity, possibly embedded in his brain even before birth. Of course, his knowledge was acquired through hard work and motivation—the latter perhaps a consequence of a deep desire for reasoning. Computers seem to become intelligent just by learning a lot. We humans have limited access to massive data storage, and it appears that our capacity for primary reasoning is largely embedded in our genes, which seems to determine a significant part of what we call intelligence.

youtube AI Governance 2025-08-07T10:0…

Coding Result

Dimension	Value
Responsibility	none
Reasoning	unclear
Policy	none
Emotion	indifference
Coded at	2026-04-27T06:24:59.937377

Raw LLM Response

[
{"id":"ytc_UgxE0SGSuFObjpGtJ794AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgxlGaHEejZK5qQzs0B4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugz_2DRjcp5ILNO7Mkx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzkwjFAdCLFeuhrAYN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzK-B25gm6qv8-aZIh4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_Ugxttlsg1wcSVUJwzpx4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgyWLHs1Mtbh7VNzK9p4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugx1AOm0so_96CPVXcB4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwQyIvibgyqYY7mIO14AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgzP2JMt9bZssiFklKp4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"approval"}
]

Raw LLM Responses