Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
@topyraft Part of the wonders of art, specifically analog horror, is the prese…
ytr_Ugz6fA4nN…
G
Human art remains more valuable. Just like how prints and posters cost less than…
ytc_Ugz_dwQPy…
G
Honestly the amount of people using ChatGPT and blindly trusting its efficacy at…
rdc_nk6i9io
G
Jobs exist because theu are answering a need in the human society.
Then you repl…
ytc_UgwRDKCVK…
G
So does that mean Hollywood isn’t going to invest in 100% Ai movies because they…
ytc_Ugwde56nC…
G
It is kind of a good thing it happened, showed how absolutely incompetent Trump …
rdc_gbhwekx
G
Of course they’re crybabies, they let the ai do the thinking for them. No more l…
ytc_UgwMDFgUA…
G
just program the robots to feel pain if they dont do what they are programed to …
ytc_UgxbAV0LZ…
Comment
Godel proves the opposite of Penrose's argument: The point of Godel is that any non-trivial logical system is incomplete as follows : You have some system in front of you, To fully describe the system, you need a model of the system. In order to fully describe the model of the system, you need a model of your model of the system. In order to full describe the model of the model of the system, you need a model of the model of the model of the system, so on and so forth in infinitum.
Therefor, if you have some set of rules, you can not determine that the system that is following those rules, won't follow some other rules, since you don't have a complete model of that system. That's why the question : "Can the AI just make up its own rules?" is a valid question, and essentially a correct statement.
Logical systems do exactly this in fact. Emergence is the phenomenon that some system is following some set of rules, then all of a sudden (by transformation) we see new behavior emerge from that system of rules...typically its through scale but it can be any transformation.
youtube
AI Moral Status
2025-05-04T06:2…
♥ 2
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugx_y9ucmZhAuJ3S6014AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgynMZVLuH0CfIvyW5R4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxjZ-EsQd3oVMCb-B54AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugyas3ZYVpWdMSfpGyl4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwdtZQnNhe0ZDJm8Wh4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgyIXoCreuH1PRlBIPN4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzMNfTe_AskF5JaKyd4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugzc7L2nNNWLn5Ia9zp4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgypFpZep0AEH9X8wwR4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugybn-JSK7_PgmL3oaJ4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"}
]