Raw LLM Responses

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G The moment 'AI art' will become interesting and valuable will be when 'Ai' tells… ytc_UgzQw2PcN… G 10 years ago I wrote a paper in university concerning the ethical implications a… ytc_UgwfuReyx… G this just proves my point that we need to take away (and maybe destroy) all elec… ytc_UgwylKiSx… G I can see this going wrong in the future if a person with out any common sense p… ytc_UgwwEV3ky… G China does not need CHATGPT because China is already intelligent and they themse… ytc_UgyvM78GF… G NAHHHHH BRO Bro match the following:- Not human kids. White kids Human … ytc_UgzDNh2Xy… G ......human hubris is haughty.....it's already in use in the military....predict… ytc_Ugw-0f_l9… G the AI animation is so goofy whenever one has their eyes open the other person c… ytc_UgweMFaJS…
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
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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