Raw LLM Responses
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G
Well, as a human, I have no options then to start conjuring fire out of my actua…
ytc_UgxHS6kvu…
G
How can AI be used to deal with iniquities in the justice and government system,…
ytc_Ugw9aWZEe…
G
You are mad at reality and want to make ai even more Karen like. What are you ti…
ytc_UgygRDV-x…
G
I say the same thing as a pilot, to anyone who thinks AI can replace human pilot…
ytc_UgxriaLMc…
G
If AI can replace a software engineer or analyst or content creator's job, it ca…
ytc_UgxlNOXLR…
G
The only question is what works and has proven to work. Tesla comes out on top i…
ytc_UgzJ8vEEP…
G
the main definition of art imo is something that comes from emotion and inflicts…
ytc_Ugw6uivS5…
G
Imo, AI is not okay, partially because none of the AI companies (outside of a fe…
ytr_Ugx6-euLz…
Comment
7:22 AI compares to transportations, you don't use huge LLM model to generate simple things like "How to boil water" - Scalability issues
24:00 Non-Profit purpose is to recruit talents. Kinda similar to Google Cloud uses OpenSource as a tag to attract customers. Quote: "Successful ppl build company, More successful ppl build country, Most successful ppl build Religion
28:51 1:04:36 Techniques vs Scale. We dont have techniques to reach AGI regardless of Scale, but Scale is more profitable and easier for big techs
48:40 Current issues of LLM development is expecting a small subset of ppl to develop sth that replaces human cognitive and critical thinking, similar to 1984
1:07:52 Big tech uses Scale to sell their LLMs, trap customers & business by building automation pipeline and solutions, which makes it hard to pivot due to high switching cost. Similar to AWS, CRM stories
1:12:10 Content moderator, Data Labeling business, similar to Scale AI, to filter hate speech by degrees. E.g Microsoft Tay chatbot
1:18:24 Compete to claim tasks to do labeling
youtube
Cross-Cultural
2025-07-05T02:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_Ugw8_800IiDTKpZCt7p4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy3Oiky-SObas9j6QR4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzNTpQC6NcANG5EOVp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugzhdy3QPhowv2-9W8p4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzT-Xs1Uhhq0dN2_ap4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwW-I2y3izwM7TlQ2Z4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxvsmfOriPkey9vBG94AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxvOp3-nhN5T9Ap8sR4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzPl4QJ3Kv12-MEvWl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgzoARV1M67066p5M6l4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"}
]