Raw LLM Responses
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in
So true. People never wunder why they are pushing Ai. It's not for the greater g…
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in
Correct, but it misses also a huge part of the problem.The ripples, the side eff…
7464952935957…
in
I’m amazed by everything you’ve done, including your well deserved Nobel Prize, …
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in
The AI debate keeps getting stuck at the surface level: “good or bad” “ethical o…
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in
AI in research should feel like an AGI as removing the human from the loop might…
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in
Well probably cause you are talking about ML and not training a LLM model which …
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in
This gets me thinking in lot of other examples of hidden inference Name in promp…
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in
this is where the AI debate becomes larger than technology policy. Human dignity…
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Comment
Marek Porycki, The archaeology framing is spot on. You keep the result and lose the reasoning. And in any field where work has to be reproduced, audited or defended, that missing trail is not a minor gap. It is a fundamental problem with how we treat AI assisted discovery right now.
LinkedIn
AI Research & Models
2026-05-30T05:2…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | transparency |
| Secondary value | accountability |
| Alignment target | workers |
| Stance | critical |
| Emotion | outrage |
| Value justification | The speaker emphasizes the importance of preserving the reasoning and trails behind AI-assisted discoveries, highlighting the need for transparency in the decision-making process. |
| Target justification | The comment is directed at the community of researchers and scientists, specifically those who rely on reproducibility, auditing, and defensibility of their work, which suggests the target is workers in these fields. |
| Coded at | 2026-06-11T08:31:54Z |
Raw LLM Response
```
{
"value_primary": "transparency",
"value_secondary": "accountability",
"target": "workers",
"stance": "critical",
"emotion": "outrage",
"value_justification": "The speaker emphasizes the importance of preserving the reasoning and trails behind AI-assisted discoveries, highlighting the need for transparency in the decision-making process.",
"target_justification": "The comment is directed at the community of researchers and scientists, specifically those who rely on reproducibility, auditing, and defensibility of their work, which suggests the target is workers in these fields."
}
```