Raw LLM Responses
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G
if so then we don't need the working class. just shake down ai companies for mon…
ytc_UgwRj5Kvp…
G
the funny thing is...if scaling LLMs doesn't lead to AI/AGI (most scientists agr…
ytc_Ugzz5VMBm…
G
"Whats all the talk about sora ai?"
*insert megamind reference looking ahh*
"…
ytc_UgwgBOMlX…
G
This is the main argument I keep telling people when they say that I'm techno-pe…
ytc_Ugx6mi9bH…
G
This guess is full of bologna. How can unemployment be 99% with a full take over…
ytc_UgzH5oC6_…
G
@kitchenersown No, it's just because using ai art for such things might come wit…
ytr_UgzwyiQ6U…
G
This bias does not even come from the ai itself but its training data there is s…
ytc_UgysRqcbk…
G
Honestly, what hurts the most about all this "AI artists" is how art is being tr…
ytc_UgxBElHzb…
Comment
Appreciate that Anthropic does publish findings from their red team on what has gone wrong for transparency. It supports Apple delaying certain features of Apple Intelligence as it too found errors, and we all know many people (myself included) don't use Siri because only a handful of times it gets something wrong/doesn't understand the basics, and it's worthless -- it'd be the same for Apple Intelligence -- I'd rather see it delayed and get it right instead of being on-time and failing (like Siri). Yes, Apple probably should've had that research done and solidified before announcing, so some of the criticism is warranted, but having these papers published by other AI companies is great so we are cautiously optimistic instead of going full speed ahead and then run into a cybersecurity nightmare in which all the AI companies get taken down in one fell swoop, which then affects all of tech, the stock market, the economy, etc. The research on the hard stuff doesn't impede progress -- it makes it stronger. And why the concern over regulation? Why shouldn't we regulate like telecommunications, energy, etc. If nobody is protecting the consumers, you won't have consumers to use your products.
youtube
2026-01-11T17:1…
♥ 4
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | approval |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_UgyWS5tpKI7VlFvDX_V4AaABAg","responsibility":"company","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytc_UgyP-b-TtSOiwCTS2IB4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_Ugx9HgbvZ0aOPA450yN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwMTM9IM7aibbY9z554AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgwJyuqprAN3gmjdqih4AaABAg","responsibility":"company","reasoning":"mixed","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgzBuqenu8QXVzKXKQl4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgwdCwuaW9LD0049w094AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgyURtDwfoapMnJJuPt4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgwfSCKzzYOFOdltH0l4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwM9Vd6rUYpR8oL_Bt4AaABAg","responsibility":"company","reasoning":"mixed","policy":"none","emotion":"indifference"}
]