Raw LLM Responses
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G
Yes they do use reinforcement learning. That’s literally how all AI learns. W…
ytc_UgxA-E_SQ…
G
Ai isn’t the problem, humans using ai for evil is the problem… humans don’t need…
ytc_UgyVlp5Nq…
G
@satyammaep
Haa sahi kaha , agar wo desh ke log , Country ko chalane ka Zimma…
ytr_UgwHEIGTB…
G
When honest work gets questioned, you adapt 🤷♀️ Ryne AI Humanizer is part of my…
ytc_UgzCIaIrJ…
G
@Mr_Fahrenheit_200 Oh, come on, just go train a trivially simple neural network …
ytr_UgwOzE28F…
G
7:53
Well, the answer actually should be very obvious. People want to create st…
ytc_Ugyhrmrpa…
G
Counter points:
1. China overregulates in every field, so that they can easily p…
ytc_UgzrS3WEw…
G
It's insulting how much they tell you to rely on AI to do everything for you whe…
rdc_ofims60
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"}
]