Raw LLM Responses
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G
Guys let's program our own infinitely powerful super intelligent ai thst will go…
ytc_Ugw_QYnhr…
G
This is fascinating. I have a book started that is 10 chapters long so far (may…
rdc_jdjqmqo
G
The reason people call themselves "Ai Artists" is because they have the potentia…
ytc_Ugz3Cqw-w…
G
That robot is a hoax .
And a psy op test '
It's NOT a legitimate a.i. ' note i…
ytc_UgzLD8LC5…
G
Even AI knows that you gotta let other people hear how annoyed you are 😭😭😭😭😭😭😭😭😭…
ytc_Ugx_zJVBR…
G
Well this is a start at the end of the day solidarity is a great way of showing …
rdc_f1vgsv5
G
4:40 You had experience, this experience shaped how you think a little bit, your…
ytc_Ugw3CAWKo…
G
Generative AI should not be in the public domain, especialy not for free. It sho…
ytc_UgxhB6aXp…
Comment
You ignored the main thrust of the India's argument. He's calling net zero by 2060 is "pie in the sky" which doesn't address the climate problems we will face by 2030 already. And developing nations should start removing carbon already and targeting "net zero" in 50 years will not solve the issue, developing nations should start targeting "net negative" instead, by removing carbon from atmosphere.
Carbon capture is somehow a dirty word for most of the western world. Big oil spearheaded CC tech, but, that doesn't mean we should not remove carbon. We have already passed the stage where reducing emissions will tackle climate crisis, and we should be removing carbon too.
> “I believe that it’s important for all the developed countries to talk about, not net zero, but about removing more carbon from the atmosphere than they are adding — net negative is what they need to talk about,” Singh said. “And they need to tell us what they will do by 2030.”
> “Now the question is when are [emissions] going to come down. What we hear is that ‘by 2050 or by 2060 we will become carbon neutral’.” But “2060 is far away,” Singh said in reference to China’s own net zero goal.
reddit
Cross-Cultural
1617595030.0
♥ 3
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | mixed |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[
{"id":"rdc_gtd5v45","responsibility":"distributed","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_gtdbosl","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"outrage"},
{"id":"rdc_gtd1blc","responsibility":"distributed","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"rdc_gtd67x5","responsibility":"company","reasoning":"virtue","policy":"regulate","emotion":"outrage"},
{"id":"rdc_gtf2v2e","responsibility":"none","reasoning":"consequentialist","policy":"regulate","emotion":"mixed"}
]