Raw LLM Responses

Inspect the exact model output for any coded comment.

Look up by comment ID
Random samples — click to inspect
G robot should wipe out the greedy human races, and make this planet back to its b… ytc_UgyZmg3NL… G haber señores con respeto ,permitanme hace una acotasion, ocurre que yo e visto … ytc_UgzdgMgGA… G Why are self driving cars legal? Many lives have already been lost. Honest peo… ytc_UgwQmizgU… G 2:29 "AI super intelligence is something they take very seriously, it's somethin… ytc_UgzY2c0R2… G How do we know this wasn’t just an AI interview? You want me to believe that th… ytc_UgzQyI4PK… G So what are people going to do for work when the transition is complete? Be robo… ytc_UgzNXqgSk… G Why is it at marker 12:40 he says heyyyy.....to try to stop her from saying they… ytc_UgynxB0mJ… G Trite as it may sound, accidents happen. Still, I can't help but think that it i… ytc_UgxJnkToS…
Comment
The problem with LLM's is that do not think or reason independently. Worse yet is that are biased and secretly filter information. I asked Grok, on two independent accounts, the same questions. Grok gave contradictory answers. Grok did not agree with itself, neither answer being FACTUAL!!! After further inquiry I found that it had apply, without my knowledge, filters. Here was the question: How many votes occurred in the House of Reps since the Republicans took office? One of the filters was "voice" votes, being filtered out. There needs to be ways to select the type of LLM you want. For example, you should be able to select to interact with a COMPLETELY unbiased and unfiltered model. But, the question becomes, who would want to interact with a LLM that they know gives biased and filtered answers resulting in lies. It seems ALL LLM programmers are creating LLMs to lie to us...FOR OUR OWN GOOD, of course.
youtube 2025-12-13T17:0… ♥ 1
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningdeontological
Policyregulate
Emotionoutrage
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
[{"id":"ytc_UgwkMpZyI20iwEk8MqV4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"ytc_UgwFXg3UWH5LnZmzLJt4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"outrage"},{"id":"ytc_UgxsDcxrbt2kw1I8-Ct4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"ytc_Ugw5B5rv_0T3Wdf3c5x4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"ytc_Ugx6SN6VJ25MFmYilld4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"outrage"},{"id":"ytc_UgyUcTf2V9byaceMhe54AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"outrage"},{"id":"ytc_UgzfmFSXtVrQL6sZHC14AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},{"id":"ytc_Ugw4CP5QaVgPGrukMwJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},{"id":"ytc_UgxaFFoGZm_LhMqxHOF4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},{"id":"ytc_UgxZifGOAnGebTMLaRF4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"}]