Raw LLM Responses
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G
Asimov's GPT Chekov...
First act: BUDDY!
Second act: Look what you made me do
Th…
ytc_UgxSs2DAG…
G
As of last month, all of the minor accidents were the fault of human drivers and…
rdc_crxh0gt
G
Then why did he creat it. These mad scientist tech people are ushering in the en…
ytc_UgzdLJzjb…
G
The only ones who are arguing for AI are actual bots. There's more and more proo…
ytc_UgwuvjiWR…
G
The problem isn’t AI. The problem is capture of government by economic elites. …
ytc_UgyX6XuTD…
G
What he’s alluding to is a tokenized decentralized AI profit share.
The only pr…
ytc_UgwDfbvIt…
G
If AI becomes synonymous with money and power, as it appears to be, then we as a…
ytc_UgzsqBUVy…
G
I don’t think AI and robotics are going to take over physical labor jobs anytime…
ytc_Ugw0JtuCB…
Comment
I think it's important to point out that the "reasoning trace" that reasoning models produce is also at it's core predictive text, in the exact same way that the response to the user is at it's core predictive text, and so the "logical steps" that it breaks the problem into are generated in the exact same way that the final text answer is generated. Even though these are presented as more specific "internal" responses before an "external" response is generated, the whole text together (internal + external) is generated in the exact same predictive manner. This is why modifying some of the "internal" logic steps change the output in unexpected ways, just like how changing part of the "external" output will change the rest of the output in unexpected ways (i.e. if you randomly insert the token "banana" into an LLM output, the rest of the output would shift in odd ways).
youtube
AI Moral Status
2025-10-30T20:3…
♥ 82
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_Ugws2_TFPz2uVhgD_Tt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugz5bOLUpiZVONj8V-Z4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_Ugwf4XfrPf9BOEuxxXp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytc_UgyK9TYJqWmymD1ZvMR4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgxHRCQZlgXI7lMyl8d4AaABAg","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugz6bprHJfadap_wusF4AaABAg","responsibility":"company","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwaetNvyKGmHPkYVDN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgxrOmrY6YDE805fC7l4AaABAg","responsibility":"company","reasoning":"virtue","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgwPvzVKTmEiE8Qe_zl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgzFrXhXMekFPoo_e8t4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}
]