Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
First stop thanks to both of you for bringing this up. I’m grateful that you’re both talking about it. In such a manner that allows the public to understand what is happening. The term AI, in the current state of this technology should really be referred as algorithmic inference. The best way to look at it is to look at it like resolution of pixels on the screen. The more parameters we have the higher the resolution of the image we Can produce. It’s like increasing the DPI on a printer, if we make it high enough resolution, I’ll be able to print photographs I think a good podcast on deifying. The black box would be very important at this point to show the mechanics of what’s happening and how this is just emulation of speech. It’s all based on probability of a self sorting system. I know I would really appreciate it if this could be explained in generalized so that it will demystify and take away some of the fear that’s associated with the current level of this algorithm How many people I use the unreal engine five as an example that particular algorithm can emulate our 3-D world, including physics and many other natural occur occurrences However, it is no more or less than a series or a group of triangles being meshed together to emulate an environment We are now emulating speech, this doesn’t mean it’s intelligent or just emulating it. It may be time that humans have to look past language as it means to dictate intelligence. That being said, I would think, it’s high time that we break down the truth for people and show them how it all works in an easy explainable video. Great job by both of you and much appreciated. I look forward to more podcast like this, again very grateful for this.
youtube AI Governance 2025-12-07T09:3…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionapproval
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
[ {"id":"ytc_UgyXIBhpE8wmC4fLwKB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"fear"}, {"id":"ytc_Ugy1490-ct_C7Ltxrj14AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"}, {"id":"ytc_Ugwm46ABaIvNifCjlJt4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"}, {"id":"ytc_UgxSt4hozjmrk8oE_d14AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}, {"id":"ytc_UgyeyZ03SsJpd_M4LHR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"ytc_Ugz7qG8u5Su_n62XsVd4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"}, {"id":"ytc_UgyfEdGota1cSAtmVId4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"}, {"id":"ytc_Ugyl0pSWKViR6Vpv5Ox4AaABAg","responsibility":"none","reasoning":"deontological","policy":"regulate","emotion":"fear"}, {"id":"ytc_UgyyXCaIzUJl3yvLjON4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"ytc_Ugzq07uKVQcQCaFxLFR4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"none","emotion":"fear"} ]