Raw LLM Responses
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G
The only way to make AI safe is to build in emotions morals fairness these are t…
ytc_UgwdTEyP5…
G
I think it's more that regulation will disadvantage us while our adversaries con…
rdc_kyyyvo5
G
"Hi Arpit, you got the right answer. Kudos.
The contest is over and winners have…
ytr_UgwLTr1Yd…
G
Loved the video. Benn Jordan did a good video on the downfall of capitalism and …
ytc_Ugw6fmCuh…
G
AI subscriptions are becoming the new utility—affordable add-ons (₹300/month) th…
ytc_Ugwhlsntm…
G
So, if someone made art for ai purposes, and they drew similar to you wouldn’t t…
ytc_Ugzb9BW6P…
G
I'm trying to get work to stop this as well. They are running with the AI first …
ytc_Ugz9waY-D…
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If they can't make AI indistinguishable from real videos, they'll make real vide…
ytc_Ugz4WiE_6…
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 The law is out of date within 9 months.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"}
]