Raw LLM Responses
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G
Amazing. As humans, we better all treat whatever this is or become with respect.…
ytc_UgyHz3MIu…
G
The thing is, the ground rule of keeping AI locked away from the rest of the wor…
ytc_UgxNcb1WA…
G
He wanna record so bad, can't pull up the app to get it fixed🙄just fyi people. …
ytc_UgzM6sBRK…
G
@Forcoy that's not comparable because ai don't take photos you silly goose, thin…
ytr_Ugy4EZ6k4…
G
No, an LLM doesn't try to please you (it doesn't even "know" if you're pleased o…
ytr_UgydfGOw2…
G
@thewannabecritic7490 And that is exactly my point.
His whole video was about "…
ytr_Ugz9WuTHg…
G
Labor and love is the pulp of life. Do what you love and never work a day. They'…
ytc_Ugwifkvwh…
G
It's literally the essence of a group of humans, greedy, selfish, and impatient.…
ytr_Ugwh60fuU…
Comment
Karen Hao clearly is speaking beyond her knowledge here. She literally said scaling model parameters wasn't research driven in regards to having to choose between housing and innovation. Yes smaller models can be useful, but producing larger models was clearly the way to go based on how neural scaling laws were working. You get emergent properties like in context learning. Most research with smaller LLMs use distillation anyway, so they require the bigger models to create useful smaller models.
She says A LOT of things that made me cringe.
youtube
Cross-Cultural
2025-06-30T02:3…
♥ 8
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | mixed |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgzSW4Q1xgZF12GykVl4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugwzaa6_sSCF1SNL4Kx4AaABAg","responsibility":"company","reasoning":"virtue","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgxiNdcjAkRfjWYqujV4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgyWgH9j3VELIq03Sj14AaABAg","responsibility":"user","reasoning":"unclear","policy":"unclear","emotion":"resignation"},
{"id":"ytc_UgzO2ZBO3CMuVH7hCG54AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyROJP45-2RInyCcMt4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgyAmHoz-ZwSNAz1M1J4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_Ugy6mQsco82yGxjvsqt4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"ban","emotion":"fear"},
{"id":"ytc_UgzDcBXH_FkIIhFK9Yt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy7y6XJtDFZRbh7_8J4AaABAg","responsibility":"company","reasoning":"virtue","policy":"liability","emotion":"outrage"}
]