Raw LLM Responses
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G
Companies want candidates with tons of experience and perfect grades but are tot…
rdc_m82dblg
G
I'm not going to give you shit or judge. I don't look down on what has just occu…
rdc_mvjezmm
G
Yea i watched it too and it was definitely absolutely disgusting how the investi…
ytr_Ugx1WpLju…
G
People are being like, "AI will become better and replace your job, look at wher…
ytc_Ugy0KxtOB…
G
Humans take their entire lives to create the art you love, Cleo. It took them de…
ytc_Ugw5rimif…
G
I don’t understand how you can find actual satisfaction in putting a prompt in a…
ytc_UgyfhYMu5…
G
The way humans and computers interpret references is drastically different . a h…
ytr_UgzhY_YQF…
G
@33:00 - This was a bit of a "professor moment" where i think mr Hinton grabbed …
ytc_UgyyXB-2g…
Comment
"Yes, Chinese AI model tokens are significantly cheaper—often one-sixth of the price—partly because they utilize distillation, distilling knowledge from larger, advanced U.S. models.
This technique allows smaller models to achieve 80–90% of a frontier model's performance with far less computational demand.
Other factors driving this price gap include more efficient "mixture-of-experts" architectures (often designed to run on less advanced hardware due to US chip restrictions) and lower energy costs"
I was just looking a Google's Gemma 4 this week.
Google's Gemma 4 uses both dense and Mixture-of-Experts models.
I don 't know how many other US model use MoEs. But if they want to I'm sure they can use MoEs.
youtube
AI Governance
2026-04-21T16:5…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[{"id":"ytc_UgzfSnzWst02KsznDNp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgzY8mdUvNIObd0uSLN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugy0AO0fNWQwyXR23b54AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"resignation"},
{"id":"ytc_UgzZ-nltPK1eP9yln694AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytc_UgzlI_R6I6jh169VVr94AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgyuU8SMkG6McRhNgaF4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"outrage"},
{"id":"ytc_UgyUA_DQcDFZ6VUdb214AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzHcRRdHIF518tDVil4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgwwPhpUcnxHfa8b2cF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"regulate","emotion":"indifference"},
{"id":"ytc_UgzHy8eKwczW26pQIG54AaABAg","responsibility":"none","reasoning":"unclear","policy":"ban","emotion":"outrage"}]