Raw LLM Responses
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G
That's an interesting perspective! While AI is certainly advancing rapidly, it's…
ytr_UgyaCbgzg…
G
Imagine in 20 years... you're a young man or woman going about your daily life..…
ytc_UgzwzM00M…
G
Ai bro no way you can do that in 3 hours and its circular you draw by square idi…
ytc_UgwH4uxAg…
G
This is very sad to me. Right now, a handful of companies, OpenAI, Google Deepmi…
ytc_Ugwp0q6aQ…
G
I initially though using AI would have been alright if it was solely used like a…
ytc_UgzYrgoKD…
G
im a little late but 60-80% of the time i myself have no idea where I'm going wi…
ytc_Ugyb-rFCj…
G
Per usual crystal Kompletly misses the point lol It's not that AI is Anti-Woke, …
ytc_UgzwMc5Uq…
G
AI is bullshit. Their just lying about everything and there be plenty of jobs fo…
ytc_Ugy3U8DXE…
Comment
This is outdated and inaccurate in some important ways. Hallucinations are not caused by AI not understanding what it is saying. An LLM is a token prediction mechanism. It has no capacity to "understand" anything. Hallucinations are caused by variances in the batch size (ammount of data processed at one time) the next token is predicted with and temperature settings (the probability range the next token generated will be). The major issue that is being highlighted here is an LLM's number one weakness: non-determinism. This means that it is impossible to debug any one bug and then implement that fix for similar bugs in the conventional maner. By using a fixed batch size and a 0 temperature you can create a purely deterministic LLM as shown by Thinking Machines in their blog post on September 10th of this year. This will result in the vast majority of the issues cited here being solved because it all boils down to one core issue. Previously you could not effectively debug a LLM and now you can.
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AI Responsibility
2025-10-03T16:3…
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_UgynfEijUvzZe0ZqF3V4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugw7CQLpJ1FPVqf_d_l4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugz9jSxtu37K-mdjEZd4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzI76bty-Vihfexy8N4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwSFCw_0ZNBCr5KYqJ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxCnkHlQ0JnxyYWBgF4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_Ugx8gCQANMHqGcsVoi94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyfF1_xlEH-8xrHFjZ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_Ugx74C8wtpt97sedo8R4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxsOlEqqzcYytpaEDV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}
]