Raw LLM Responses
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in
AI is already transforming the way we work. The real question is no longer just …
7467201300720…
in
Demis, regarding this I/O update and the push for "agentic" routing: your new ha…
7466328706416…
in
Fascinating case. What I find especially important here is that the conversation…
7465453665546…
in
I was devastated to know my interactions with your staff were less than satisfac…
7465381161993…
in
"I used to worry AI would take our jobs. Now I worry it will make us do cardio f…
7463949895175…
in
Karthikkeyan Vijayan SO integrating AI is the right move. Blocking AI access to …
7466874287006…
in
The concern around AI isn’t really the technology itself... it’s blind trust wit…
7463902439612…
in
"Aligned to whose values" is the question the field has been avoiding precisely …
7466489182429…
Comment
I have to say: AI makes me often feel "very smart". Especially when it acknowledges an error in its own 'reasoning' and I point it out to it. 🤣On the other hand: these 'answers' keep making me stay awake and remind me to never ever trust the AI answer without checking it yourself. Does it sound logic? Is it logic?
LinkedIn
General AI Discourse
Ik help organisaties strategie vertalen naar me…
2026-06-02T09:4…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | safety |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | critical |
| Emotion | mixed |
| Value justification | The speaker wants AI to be safe by not providing wrong answers and to acknowledge its own errors, which implies a desire for risk control and guardrails against dangerous capability or misuse. |
| Target justification | The speaker is concerned about their own interaction with AI and how it affects their trust in the system, indicating that the target of alignment is the individual user. |
| Coded at | 2026-06-11T08:36:51Z |
Raw LLM Response
```
{
"value_primary": "safety",
"value_secondary": "none",
"target": "individual_users",
"stance": "critical",
"emotion": "mixed",
"value_justification": "The speaker wants AI to be safe by not providing wrong answers and to acknowledge its own errors, which implies a desire for risk control and guardrails against dangerous capability or misuse.",
"target_justification": "The speaker is concerned about their own interaction with AI and how it affects their trust in the system, indicating that the target of alignment is the individual user."
}
```