Raw LLM Responses
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G
The fundamental problem I have with that is that we are trying to make an algori…
rdc_h8g4uyh
G
In character ai i do "what if _____(prob p##### or w##### im sorry if any people…
ytc_UgxCvXnk7…
G
So she studied mechanical engineering at MIT for ...social change? Well at least…
ytc_UgzrvdfXD…
G
Because the risk is still too high for them. This isn't one of those things wher…
rdc_jhdz9dh
G
I understand the message that video trying to deliver but here's a hard pill to …
ytc_UgzCQp7Ct…
G
@RennieAsh
It seems you have underestimated the capabilities of our power …
ytr_UgxO1r6O8…
G
Where is regulation laws for A.I. for certain stuff? I don't think the helpful …
ytc_UgxV-z7wV…
G
how is the progress on getting illegal tariff reverse ? or are we just jumping f…
ytc_UgyZb-xTc…
Comment
55:05 huh, that’s interesting, that’s the first thing I asked it.
The YouTube algorithm really pushed this local LLM called Qwen3 to me a while ago, and I noticed it was developed in China so I specifically downloaded an uncensored version of it, and
It was extremely reluctant to talk about what it referred to as the “June 4th Event”, despite allegedly being uncensored,
But it instantly popped out several examples for “dangerous and hazardous chemicals I can make with commonly available household items”
obviously I only asked it that to check the censorship intensity, obviously
But if you ask about specific chemicals the recipe instructions are all accurate. It’ll guide you on how to culture bacterium that thrive inside you without killing you too quickly, although it seemed like the specific examples it gave at the time were easily curable
Personally it would be easier to just have a (cook?)book rather than a computer that unreliably stores the LLM, but the LLM stores more than just that bit of data entirely off-grid.
With most of the English Wikipedia downloaded in just a few dozen gigabytes, an LLM like this one given agentic access to said localised Wikipedia would make a killer sci-fi doomsdaypaedia
youtube
AI Moral Status
2025-10-31T00:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgyjyMyY_O4NgeZAJjB4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgxmTHu1yRq14lt75Dd4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyNWZ7nhSCvpXJJsDV4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgxT7RhFToA3B5KS5el4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwBfFsr_6_n16hJfed4AaABAg","responsibility":"none","reasoning":"contractualist","policy":"regulate","emotion":"approval"},
{"id":"ytc_Ugxm7-V2cw080X9sQZx4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgyCiYAK2ms5Q0A5qhx4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_UgxBMJKI2GG-3mj8Qi54AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgyKp43VLPuelxIF9Kx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgxKjYNeaaZSElY40Qx4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"resignation"}
]