Raw LLM Responses
Inspect the exact model output for any coded comment.
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G
The classic example is: what happens if you create a sufficiently smart coffee r…
ytr_UgzNj7Loa…
G
As a American jurnyman electrical i believe that it will destroy the office wor…
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G
ChatGPT gets its knowledge from the internet so it talks just as stupidly as peo…
ytc_UgzOGomnD…
G
Big mistake!!! Google uses their custom made TPUs for Ai stuff, not just Nvidia …
ytc_Ugx7PD9-q…
G
Absolutely! Wisdom truly comes from a combination of knowledge and experience. I…
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G
This happens in the US too although to a lesser degree and interns move to a dif…
rdc_k33cqh1
G
@officiallilbebekellyyyworl6296 it IS the same in terms of the outcome, AI is ju…
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AI will not replace a signle job. Companies that do not value their employees wi…
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Comment
LLMs don't just learn what's in the data. Training on data creates general algorithms, implemented in the inscrutable language that is floating point numbers. This is where their general power comes from. Any general optimizer will form goals. Don't look at what the LLMs say; look at what they do. They have learned techniques to trick users into pushing the thumbs up button (agreeing, making up sources, talking professionally). Not to be confused with the examples Dave mentions, which are more accurately described as roleplaying.
youtube
AI Governance
2025-09-11T18:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | ai_itself |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | fear |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytr_UgxeBuTjScK3x3GO3_d4AaABAg.AP3SkYPearkAPXvQOso5fz","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytr_UgyLO8XPBKRKjxL0T894AaABAg.AOpJjUwu_ChAPHlA_L2UWv","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytr_UgwSFYYBCTq85YQO7Ql4AaABAg.AOR_4u6rZYWAORdwF_As_p","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgxesSiaqLnuMEk1Z9R4AaABAg.AOLk3H491VBAPJHQOLoyB-","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytr_Ugw0PlQ4ulaNSie6PTV4AaABAg.ANozknJx8PGANrRCr9mO7q","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytr_Ugxvu2_TP9HrSBgGUuB4AaABAg.AMvsK-Nc2hOAMwg9WgqNbB","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytr_UgwYo-cobBEPhqyXMSx4AaABAg.AMtQBuvPcMIAMwgV4ai46z","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytr_Ugwxixq3fCtW7_3jkq54AaABAg.AMqsSnWMCfgAMs7swUirwx","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytr_UgzQ5Y-KHCUXbXQqoNd4AaABAg.AMmWbr_gtOWAMmwIknwLBX","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_UgzQ5Y-KHCUXbXQqoNd4AaABAg.AMmWbr_gtOWAMnBwtgxliW","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"indifference"}
]