Raw LLM Responses
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G
The end game for all ai is not to make the world a better, easier place..it's to…
ytc_UgyTktNtr…
G
This is just a re-tread of automation. Except where it was easy to ignore the co…
ytc_UgyBO_k_0…
G
Does anyone have data for power levels higher than 2500W? In Juan Yang's results…
rdc_cqubbbk
G
I found AI is mostly only good at getting a rough idea of some commissioners cha…
ytc_Ugyukh7km…
G
6:20 - this is the dream of those captured by the Nietzschean branch of Hegelian…
ytc_UgxMXwC3B…
G
That dogshit looking wolf in one of the images should he enough of a tell that i…
ytc_UgwkTpeZD…
G
I blame ai art for my gambling addiction. I am doing penance by learning how to …
ytc_Ugz4lhCgN…
G
It's a step in the right direction, I hope more countries catches. Especially Ja…
rdc_dv10sd5
Comment
AI engineer here! Chinese models and American models both uses mixture of expert(MOE), there architecture is not different. The reason Chinese models are cheaper is because they are open source. Whereas American frontier models are closed source, meaning there algorithms, model weights and source code are not available to public for free. Chinese companies make them available for free so anyone can download for free and build on top of Chinese models. That’s the only reason they are cheaper. You are not paying DeepSeek or Moonshot to use there models. Ironically Chinese companies are very transparent about there tech.
youtube
AI Governance
2026-04-21T09:0…
♥ 14
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[{"id":"ytc_Ugyho4YAo19NPbyQ-wt4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgymriO1cDl0b7BmyVZ4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyaoldSKD4I6ePNLqR4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyfPdsytKUVZ6h6EXx4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwdNrFrGyh8qNxC9s54AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxpgY1u6kfTouEZPk94AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgwTDHS0hfCuLDvaiSV4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxRqHQuS1wWd95klZd4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwdE30KQoVqNc3on-B4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyrsX4907aE3dortX94AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"liability","emotion":"outrage"}]