Raw LLM Responses
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G
so the way the mechahitler incident is covered in this video is really, really i…
ytc_UgzMPPR-7…
G
AI is not a problem for artists only it’s a problem for so many other profession…
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G
@ysgramornorris2452 AI is a tool and AI as an Organizational aid takes nothing f…
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G
The point is AI only regurgitates information that was fed to it. It is not inte…
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G
Human being need to do physical labor... it gives us dignity and self worth. …
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G
Honestly when talking about ai part of me feels were way too suspicious towards …
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G
I don’t like that this will be the precedent setting case on this. New York Time…
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Perplexity* suggested I conclude like this: "Where I’m going with this is: if a…
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Comment
We gotta stop giving tax perks to AI companies (and billionaires in general). Priorities upside down. No more data centers. Sam Altman is a bigger fraud than Elon Musk, and that's saying something.
AND YET we need subject matter experts in these cases. Lay end-users don't understand the tech. Eg Retrieval-Augmented Generation (RAG) is a technique to connect a Large Language Model (LLM) to external, authoritative knowledge sources outside of its original training data.
OpenAI models frequently use RAG to improve accuracy and provide up-to-date information. While the core GPT models are pre-trained, they are often combined with external data sources. ChatGPT uses retrieval to search the web when queries require current information.
Tldr : RAG enables OpenAI models (like all the popular models) to query trusted, external data sources, reducing hallucinations and allowing the AI to "know" information not present in its original training set.
Which is one reason you don't want courts regulating tech. The law is out of date within 9 months.
youtube
AI Responsibility
2026-04-11T15:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | deontological |
| Policy | regulate |
| Emotion | outrage |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgwAqpAqIRbdOAfNvpJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzukaGNMhrCBSOnZH14AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugy4nf5-kXagdaZTYXB4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxuB2kOqqKk2ftCwAl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzvS-BxchBX1RdHqrF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyAMQKkOdp-RdCxUWd4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgziYRNo3eYs-i2W-Pp4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwD_MhGljw1Q34faql4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx7wMNOowhCEfDNmPl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyxdxlpubZhWhdys_V4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"}
]