Raw LLM Responses
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G
I'm sorry but the technology to drive each truck is equal to 10 yearly wages of …
ytc_Ugx9_t4mP…
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Considering the (possibly AI) image shows an aux cord, that nothing supports any…
rdc_oi19iif
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Someone calling themself an "ai artist" and taking credit for the thing a machin…
ytc_UgzPth6N2…
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Lmao, not sure why people act like it's just on Facebook. This is appearing ever…
ytc_UgzOvTjY8…
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i did it three times on three different conversations: everytime the answer is "…
rdc_khzdgzt
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30:40 Electrical power usage for AI needs to be capped at current levels. Retai…
ytc_UgxIxMcI7…
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Just so you know, “art” in its current definition (and quality) is never going t…
ytc_Ugy--nt0i…
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Where is the FBI ?
We are so close to a police state, and complete tyranny.
If w…
ytc_UgzL3cZDw…
Comment
> Gen AI is a fancy auto-complete, and is fundamentally flawed. There's no science that can be done with Gen AI.
Mathematician here. This is not accurate. In math, high quality LLMs have been used to make mathematical discoveries both in developing new proofs and in finding counterexamples. Mathoverflow has been compiling [a list of major examples of this](https://mathoverflow.net/questions/502120/examples-for-the-use-of-ai-and-especially-llms-in-notable-mathematical-developme) which is now so long that there's discussion of just stopping making the list longer. AI generated results like this need to be checked very carefully, but it does work.
This isn't the only way scientists are benefiting from LLMs. For example, they can be used to help find obscure terms in literature. If one doesn't know what term is used for some definition or if it is in the literature, you can ask the AI. One gets a term from it and a few references. One does of course need to then check that the references are not hallucinated, and that the term means what the AI said it does, and you need to check this via a traditional lit search. And if the AI says that something is not in the literature, you cannot trust it. But when this works, this speeds things up a lot.
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Viral AI Reaction
1776614885.0
♥ 2
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[
{"id":"rdc_ohzs1pe","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"rdc_oh3fjdu","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"rdc_oh3fnqh","responsibility":"distributed","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"rdc_oh3ivrh","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"rdc_oh3mkku","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"resignation"}
]