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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."
}
```

Raw LLM Responses