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G "Hours of practice?" Never heard of it. Practice is all that it takes. You cou… ytc_Ugw6Cu9rL… G Ooh, I like the smart buddy idea. I’ve been using AI as a language tutor and it … ytr_UgwDfwETv… G What makes me mad is that very young beginner artists were particularly targeted… ytc_Ugy1-HqxD… G It's only truly a minute when AI will take advantag tell produce better than we … ytc_Ugy69_Wt6… G What kind of jobs will be created by ai that won’t immediately or eventually be … ytc_UgxhhSyFT… G Microsoft is scaling back its "AI" ambitions because it's become apparent that n… ytc_Ugw3jlsLY… G Literally in the article you posted it says they're selling off a few investment… rdc_nono1ib G If that many people are out of employment, not receiving a reasonable salary, po… ytc_UgyuPlmrD…

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