Raw LLM Responses
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It is copying because it takes multiple real artists artwork without permission(…
ytc_UgzCrmIh2…
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When I was at university about 10 years ago (I studied Biology with a focus on A…
ytc_UgwJq5mRN…
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I feel like the script for this video was written by AI. It's good detailed inf…
ytc_UgwanCMVh…
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I genuinely don't understand how people are scared of chatgpt etc becoming "supe…
ytc_UgxYVeffi…
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I pretty much agree with all the points here. One interesting thought experiment…
ytc_UgxxjKLrC…
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In audit accounting and finance we use AI to do some of our time consuming tasks…
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This AI revolution is entirely driven by greed. Companies just want to replace a…
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AI and its impact on society. I’ve been inspired by recent discussions from lead…
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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"}
]