Raw LLM Responses
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G
the one that needs a hug : “Hey me”
the normal/delusional user: “Uhh i thought i…
ytc_UgyhvTmHR…
G
bollocks. trained on mid-2024-publically-available level of info that is a wikip…
rdc_mck11et
G
Nope if you've seen the flash movie you'll see some dead actors who couldn't hav…
ytc_Ugzr6boDP…
G
I wish AI would replace that insufferable Joe Kernen.....waste of a news broadca…
ytc_Ugwj7g_Hw…
G
Keep your eyes on that lady robot. She looks like the type that would get annoye…
ytc_UgyGklCoA…
G
Around here there are audio detection devices that automatically alert emergency…
ytr_UgzW2jAM-…
G
Whitney Webb said the 1st Trump administration had a similar program called Deep…
ytc_UgwNer9Jb…
G
AI doesn’t think 🤣 it’s a computer program that is told what to do and how to re…
ytc_UgxEpe7rF…
Comment
But the issue of token economics - just using cost per token and number of tokens - misses a key point: you are not getting effective/efficient use of the intelligence of the systems with cheaper models. If you want a simpleton to do the agent work, then you spend a lot n cheap tokens and get as potentially poor performance. But, if you work with a “smarter” system, your tokens are more expensive, but you use fewer.
The idea of tokens use * cost of tokens is a great financial model, not a good delivery model. (from a wannabe AI token economist)
youtube
AI Governance
2026-04-22T00:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_UgyKoIoSWwfa79cQ0uR4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"ban","emotion":"approval"},
{"id":"ytc_Ugy5jXlP2J_T6SUKHjZ4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw1N2KGHlOVKUvmP6Z4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxSL1573ePYjS5HE_l4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"fear"},
{"id":"ytc_Ugz5RIwPKz_JPQW-ybB4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxE90VvCtVxt4apypJ4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyPorZYpr7zAGPUPSJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugzl1UwpuSk4f4TTZst4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugx-y9eb06PCVILI77p4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxiKWQ2jWYCwJky7wJ4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"}
]