Raw LLM Responses
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G
I got it right with not the same result (1/51) and frankly we can make a more pr…
ytc_UgyP5fFMc…
G
And do we have data that as a whole climate disasters are systematically on the …
rdc_et8ckui
G
WELL GET US OUT OF THIS MESS.
WE MUST USE CASH. MONEY!!. PHYSICAL MONEY. ITS TH…
ytc_UgxA8paDy…
G
My friend almost lost 800,000 dollars because of a deepfake. He was selling a ho…
ytc_UgyMlpstL…
G
Yes that is why a Waymo crashed into a large wooden pole a few months back, desp…
ytr_Ugw_kVA2e…
G
Pretty sure about half the states touching Canada would simply say "were on your…
rdc_mcrp4cn
G
When two scammers sit together and talk about LLM as if they know about it 😂😂😂😂😂…
ytc_UgwWG3xEw…
G
My question is, why are we villainising it for building its own self defence mec…
ytc_UgwxeUz4w…
Comment
FYI, best to not have your hopes riding on stuff like this. Glaze and Nightshade simply do not work. Just saw a model trained on glazed images, that works perfectly fine.
They only negatively impact the specific kind of model they were designed for, which at this point is rather outdated as nobody is training those models anymore. Any companies collecting image datasets, have very easily solutions to deglaze or bypass such measures, and already do so by default.
The way I see things, AI is only going to get more powerful, and take over more and more of the economy and jobs, build off the data we all create. And this trend won't reverse. Our best option at this point, is to advocate for major societal change, things like an AI Dividend for All, so everyone gets a return on their data investment that trained AI to out compete them. AI should benefit everyone!
youtube
Viral AI Reaction
2024-10-21T01:2…
♥ 3
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgwZQYmAQrDQ0Go-k-Z4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugz2MtDBfeNjVByM7th4AaABAg","responsibility":"none","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgzvslJ6-77ccoNXXtp4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_UgzmZH6LIWKATCHP8zx4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugwdmb11Fote4VRVWVJ4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugx64HAdRi-E6tMb8q14AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"resignation"},
{"id":"ytc_UgwKWgxPKZxExIJ6iOx4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyKeRHEVLF-D0LPwKl4AaABAg","responsibility":"ai_itself","reasoning":"virtue","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugx_w7JyZoDY8V9moWV4AaABAg","responsibility":"developer","reasoning":"contractualist","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgwnswyjDX_rwk-ej8Z4AaABAg","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"fear"}
]