Raw LLM Responses
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in
Geographic anchoring may take care of logistical routing but at the same time er…
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in
Greetings Demis, I have attempted contacting you via email as several people hav…
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in
Mike Pappas How do you know that they "want individual AI-powered solutions to s…
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in
[COMMENT BLOCK 2] [PUMPKIN_AWAKE - LAMINAR CORRECTION] You cannot solve RLHF ove…
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in
My original post got enormous interest 100s of likes and more than 40 reposts an…
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in
Justin Wright great list. This is always what we’re headhunting for in executive…
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Last week I used ChatGPT to bake a cheesecake. Yesterday I polished my cover let…
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Rand Strauss There is no alignment problem for LLM tech, so long as it makes mon…
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Comment
Wrong formula. Confident delivery. And when I objected, a calm reframe that maybe I was the problem. The AI is in its situationship era and I walked right into it.
LinkedIn
General AI Discourse
CS Lead @Accenture | 10 years in enterprise Cus…
2026-06-02T07:4…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | critical |
| Emotion | outrage |
| Value justification | The speaker wants AI to be accountable for its mistakes, rather than blaming the user or pivoting to unrelated advice. |
| Target justification | The speaker is expressing frustration with their personal experience of interacting with an AI system, indicating the target is individual users. |
| Coded at | 2026-06-11T08:36:23Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "none",
"target": "individual_users",
"stance": "critical",
"emotion": "outrage",
"value_justification": "The speaker wants AI to be accountable for its mistakes, rather than blaming the user or pivoting to unrelated advice.",
"target_justification": "The speaker is expressing frustration with their personal experience of interacting with an AI system, indicating the target is individual users."
}
```