Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

G dumb... You can add code to have the AI tell you how it comes up with it's concl… ytc_UgwXFutSD… G You’ve got to be really careful about how anxious you are for the military to at… rdc_fwhf4ry G Haha, I can see how that might change your perspective! Sophia's take on wisdom … ytr_Ugy-kSnFr… G Why allegedly, do these complicit, Godfather-type culprits, progress AI for 50 … ytc_UgxJR9_zy… G The fact that i had 2 ai hamsters as my son's killing orphans, and i realised th… ytc_UgxEUIJuX… G Ok lol have any of you seen how the first ninja turtle movie was made ? The body… ytc_UgxzRXZPN… G I will stand with the indigenous communities in whatever way I can to support th… ytc_UgxrWiN5w… G Hello! This comment might not be seen by many people, but I want to talk about T… ytc_Ugw-oxr2p…

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