Raw LLM Responses
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G
Productivity increases with AI when it's used as a tool by people, but not when …
ytc_UgyQPBu1F…
G
So Bernie, what are u suggesting? Don’t do AI at all?? That’s not going to happe…
ytc_Ugx3G7OY5…
G
0:57 [Bleeeeeeeeep]. Lol if your gonna do this kind of content then grow a pair…
ytc_Ugzrbtj8T…
G
The AI should respond by saying this is not something it can do get some help…
ytc_UgxfsdORa…
G
I am studying Java right now. And I wonder if my learning is the correct way or …
ytc_UgxGrZQHy…
G
AI will destroy society as we will OWN NOTHING AND BE THE SLAVES OF THE ELITE!!!…
ytc_UgzwzR2Ra…
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Tariffs are forcing companies to outsource jobs this is the true reason AI isn't…
ytc_UgxjZQP2K…
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"She thinks her art is safe" >:(
What kind of cartoon villain ahh sentence is th…
ytc_UgzUxiHS6…
Comment
Eliezer had a great example several years ago (when GPT-2 was new) of where being able to predict text makes you need to be much smarter than whoever produced it, which Iʼll adapt here.
I have a WARC file on my computer. This is a concatenated set of HTTP requests and responses, each preceded by a bunch of pseudo-headers. If I gave part of it to an LLM base model and ended with
WARC-Block-Digest: sha1:C7TER6D5FOEWSUZSTS7W4M37BZDIZLDJ
WARC-Payload-Digest: sha1:X3D542ITV7HNYEEMVAH5LHRDPQYFCWFF
Content-Type: application/http;msgtype=response
Content-Length:
then to accurately do the autocomplete it would need to output the number 784975, then an HTTP response which gave the right hashes, which is not a thing that any human could possibly due unless they happened to already know the answer. Even if you had the full context, which would help a great deal, I donʼt know if you could actually do it without finding and looking at the webserver logs.
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AI Moral Status
2025-11-09T06:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgzCfgXOWqj_QckvzY14AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy1PcgxyRpO6yFePBd4AaABAg","responsibility":"government","reasoning":"mixed","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgysOsgfV69frC13hlN4AaABAg","responsibility":"ai_itself","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugzwr_KSzvipseA0Au94AaABAg","responsibility":"developer","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugyl9pZdZa4uSa23sUZ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwB_5LjgvmB9LLCc3d4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"fear"},
{"id":"ytc_Ugy03wl9LdwnUgQDn0l4AaABAg","responsibility":"company","reasoning":"mixed","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzURJ6yX_tzv56jRcV4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyySM7JDt6YFvJjZd54AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugz8jelfArGzHzPt87F4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}
]