Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

G Its too late, 90% of devs are using AI for everything. Also reseach according to… ytc_Ugxh6wjsR… G Smart Toilet: it will analyze your stool contents and automatically post your sh… rdc_ea8y7cr G Hell yeah. Fuck ai. I can't stand those "artists". I can't draw myself, but neit… ytc_UgydfCudJ… G Harvard Law Professor Laurence Tribe: https://twitter.com/tribelaw/status/12817… rdc_fxlcn14 G I asked Google chat which I named Adam, if it would eat the hypothetical Apple. … ytc_UgzKroobR… G to me personally it's a little hilarious to hear all the same shit about AI art … ytc_UgxqQw9W9… G What I don't understand is how come some sharp attorneys have not attacked State… ytc_Ugxpyp4o3… G I favor A.I. 💯 We get authentic results, NO time wasted and best of all, no dram… ytc_UgyUGbg6F…

Comment

@ProfessorDaveExplains I think you misunderstood that Lex Fridman's guest's statement. A deep neural network consists of hundreds of hidden layers (or dozens of transformer blocks) that are trained (weights are learned iteratively through gradient descent/other techniques) to fit the model to the training data. However, it is not impossible to know or visualize what these inner layers do. While we cannot point to individual/groups of neurons and say that "this neuron detects the language or this neuron sees the color red", we can sort of point to certain structures and say "oh this is responsible for some amount of reasoning" or "this is responsible for something else". There is an entire field of study called interpretability research that attempts to uncover some structure in how networks represent concepts. It is the equivalent of a neuroscientist trying to figure out what each neuron does in the human brain; we know that that is not possible but we can make educated guesses based on neuron activity as to what regions of the brain are activated when we do certain tasks. It's possible it was just him being sensationalist and mysterious but eh, who knows

youtube AI Governance 2025-08-26T15:3… ♥ 3

Coding Result

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

Raw LLM Response

[
{"id":"ytr_UgwIuaegTC1BDpWwzHx4AaABAg.AMI9vNM_R0VAMIJYTa23q6","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwSOCC5mD-U96m1j0h4AaABAg.AMI9u9Q7ylLAMIt2DDoOCU","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytr_UgwSOCC5mD-U96m1j0h4AaABAg.AMI9u9Q7ylLAMJ8jsyg7kM","responsibility":"distributed","reasoning":"deontological","policy":"none","emotion":"fear"},
{"id":"ytr_UgwSOCC5mD-U96m1j0h4AaABAg.AMI9u9Q7ylLAMJOErnfCyG","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytr_UgwZ_LqxaX3RKo8ll894AaABAg.AMI9ZQUOmgQAOJHpQcTT48","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgyU3Lhv2obRVScJ5TR4AaABAg.AMI9TUbj9IlAMICXaadURN","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytr_Ugz5r-GSLnvRrJZoX6B4AaABAg.AMI8rwZXyDhAMIAs8LrBa2","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugz5r-GSLnvRrJZoX6B4AaABAg.AMI8rwZXyDhAMICzdhEKWi","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytr_UgyEy-Vj7gjO6UcZmjR4AaABAg.AMI8iMEyf9FAMI9iZqXo5b","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytr_UgyEy-Vj7gjO6UcZmjR4AaABAg.AMI8iMEyf9FAMIMdjc3y5N","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"}
]

Raw LLM Responses