Raw LLM Responses
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AI will make those who use it appear to be smart, but in reality, AI will make y…
ytc_UgyHeTwKn…
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Sue the company that maintains and trains the AI system? That doesn't seem to be…
ytr_UgwyTaQbG…
G
Hello sir,
I'm a fresher physiotherapist...and doing part time job in clinic
Me…
ytc_UgwEnCfzf…
G
Haha, that's a funny thought! It's always interesting to consider the possibilit…
ytr_UgyZWxJ_1…
G
Ban racist, homophobic and transphobic people from using ai.
I know it isn't t…
ytc_UgxH8Zw2-…
G
Ai is the anti christ said it aged 12 in the early 80s I wasn’t wrong…
ytc_UgwCFrWOb…
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Who would have thought that the so-called "godfather" of AI is a wormy looking c…
ytc_UgxIPlwsL…
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@TheDiaryOfACEO , Everyone’s talking about efficiency and automation, but here’s…
ytc_UgzTtu-5w…
Comment
Neural networks have immense potential for good. They can identify patterns in large datasets more effectively than any human. I've worked with them in medical settings where they were used to flag precancerous cells from biopsies where no human lab tech could ever investigate every cell on the slide. I've read about training bespoke systems for decoding brain activity to give nonverbal people back their speech. They are immensely powerful tools for optimization when implemented correctly. But they are only, and CAN only be, reflections of the patterns, valid OR NOT, of the data they are trained on, and that puts such immense responsibility on us to combat immoral uses, to combat bias in all forms, to refuse unethical sources and practices, or see it reflected and intensified in the final model, and then have that uncritically accepted by the humans using it.
More than any technology in history, neural networks DEMAND accuracy and integrity from us, because any failure in these is concentrated and concentrated and concentrated and then fed right back to us, with no regard, with no WAY to hold regard, for how disconnected that output is from reality, or the harm it does.
youtube
Viral AI Reaction
2025-04-01T14:1…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
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{"id":"ytr_Ugz0h-nDGiTyWWYm0wN4AaABAg.AGNXo3DKevpAGNaEFAtdbb","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_Ugz0h-nDGiTyWWYm0wN4AaABAg.AGNXo3DKevpAGNej9koDc0","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgyXRnHjL680MwKFcZp4AaABAg.AGNXPToAG4jAGNY_l0ubIM","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_Ugwp8_D4I4CDT47NkGZ4AaABAg.AGNWHevASd7AGOJNP0vHte","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_UgxvXk2SVawqsEphkXh4AaABAg.AGNVdipYY9RAGNWaE4QbGp","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"},
{"id":"ytr_UgzGP40pYCBWCvDdY1B4AaABAg.AGNUWcE1tSxAGNxZURrmHf","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytr_UgxtJvU9ZwmAKJm6ig94AaABAg.AGNUFQl5tqWAGNVR5-N9fD","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_UgwS9NSzEq7f1N2ZjAN4AaABAg.AGNRyhEwpP6AGNWDts-69a","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwS9NSzEq7f1N2ZjAN4AaABAg.AGNRyhEwpP6AGNcK1_r6wE","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}
]