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G This nerd doesnt know what he is yalking about- he is an academic philosopher. … ytc_Ugw7ENgbW… G At the future there would be a high chance on people using the ai for bad like g… ytc_Ugy3vONGR… G It's Weird How The AI Stutters & Says Umm... Would Weird Pauses Be A Programmed … ytc_Ugx0IcAKk… G The fact that now even when you call a company, most of the time if not all the … ytc_UgwevDQKJ… G Hey there! It seems like you might have mixed feelings about Sophia's response. … ytr_Ugw12HiD3… G Since others are just downvoting you, I figured Id try and answer the question. … rdc_lz6f0y1 G Stop this madness. Families need job. Stop big industry and AI from taking over.… ytc_UgybNH1_3… G The atheist was gonna win from the start. If I am wrong, why is it the scientifi… ytc_UgxaizM7n…

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