Raw LLM Responses
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G
This 'trade' agreement is all about letting corporations sue governments the mom…
rdc_d0f6b9o
G
In my opinion, Tesla is an amazing car. For this I would give self driving featu…
ytc_Ugz7n6uzV…
G
This is the most depressing thing I've seen in years. One thing I think it leave…
ytc_UgzuznNfk…
G
@elimelechalvarado1006 Thank you for the colorful commentary! As they say, only …
ytr_UgwFmMJxN…
G
Tried talking to Snapchat A.I. about ethics, but it wouldn't learn anything new.…
ytc_UgyOrGZYj…
G
You say that like it is unique to AI art lol
Online art in general is 90% women…
ytr_UgxXgbcdn…
G
The AI answer the questions,,, they could not possible learned 2 years of materi…
ytc_UgxLu7BXF…
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This seems like an awful school. All their academic stuff is on ai apps, so you’…
ytc_UgwQwznLG…
Comment
As you all know, LLMs are dynamic non-linear adaptive filters that perform lossy semantic and syntactic compression. The larger they get, the more they are able to BOTH memorize specific facts AND generalize abstract patterns, due to deep double descent. This is like a human with eidetic memory (like Rainman): they are reconstructing the text probabilistically from weights, not retrieving static files from a hard drive. So it's not quite like file compression because the reconstruction is probabilistic and non-deterministic. I'm happy to argue this point and if I'm wrong anywhere, it's here. Still, OpenAI and the others ingested trade secrets and copyrighted text without consent. They essentially laundered intellectual property through a neural network, stripping the metadata but exploiting the value while pleading ignorance. Saying LLMs retain text might be incorrect, but per copyright law and the de minimis non curat lex concept, I think the AI companies are cooked.
youtube
2026-01-18T21:3…
♥ 7
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgyunfLve-L562axr7N4AaABAg","responsibility":"government","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwqVXhT_hhqAq2D21t4AaABAg","responsibility":"company","reasoning":"contractualist","policy":"industry_self","emotion":"resignation"},
{"id":"ytc_UgzCo0L3KqyiPARg1xd4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzMoAD5ELYYfvoDTB54AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgzpJEegG83Fv_WtRIF4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxgskV-Ok6_SaEkk7d4AaABAg","responsibility":"unclear","reasoning":"deontological","policy":"none","emotion":"fear"},
{"id":"ytc_UgwhAzbtRO6qwJg2f_l4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"resignation"},
{"id":"ytc_UgwR1tiOLPAT6eKSEjN4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugzx61ugRZ3Pih6Aaoh4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"indifference"},
{"id":"ytc_UgzSJedXilFTX30pJwt4AaABAg","responsibility":"company","reasoning":"contractualist","policy":"liability","emotion":"resignation"}
]