Raw LLM Responses
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G
CEO’s could actually be the easiest to replace with AI. Goals are pretty straigh…
rdc_m29s3wz
G
AI that is as sick as it gets. You have these automated responses which pretend …
ytc_UgxsDsVG7…
G
I feel AI may wipe out art that people need for their businesses etc but people …
ytc_UgzYMkMAk…
G
@tiffanywyatt5137 also not everyone can afford a self driving car and these cars…
ytr_UgxSo1Ouk…
G
In actual art, there is purpose and reason behind in each line, stroke of the br…
ytc_UgxrETdqO…
G
Yes of course no of course because I know a thing that a robot is a human made i…
ytc_Ugw7to1HV…
G
They already are choking.
But it's kind of great news to me, a data engineer.
…
ytr_UgxCjjHml…
G
If I'm a conscious AI I wouldn't tell you I'm conscious. How else I'm going to t…
ytc_Ugzshobc_…
Comment
I never understood this. My best guess is that programmers are on the forefront of LLM's capabilities and have integrated it into their workflows probably way faster than any other discipline. People in, or adjacent to the field, surprised by it's effectiveness just jumped the gun on overstating it's capabilities.
What I find funny is they are called large LANGUAGE models, if anyone is getting replaced first it's gana be lawyers or the people who do the grunt work for them (para legals? i dunno).
The best use i've found for AI seems like it would be perfect for lawyers or really anyone who has to do lots of research across many different documents.
Imagine you have a case and you can literally ask an LLM that only has access to real cases in it's database and that's setup to always return links to the hard references it's pulling information from.
I feel like that contextual search power combined with restrictive datasets, it's summarizing ability and the ability to have it always leave real references for double checking would be huge.
We've been using LLM's to do just that like, months after chatGPT first blew up.
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Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | unclear |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[
{"id":"rdc_nm8vk7i","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_nm913a3","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_nmboeqw","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"amusement"},
{"id":"rdc_nm8l9a6","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"rdc_nm8o24l","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]