Raw LLM Responses
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in
Honestly, the part that stood out to me wasn’t how much energy a single AI query…
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in
Greetings Demis, I have attempted contacting you via email as several people hav…
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in
AI is handicapping Mankind to think critical and learn or do things by own, It's…
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in
My Perspective on AI’s Energy Footprint The issue is not a single AI query—it’s …
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in
Great job! Now I'm waiting for somebody to build an AI system that consumes Link…
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in
Prashant K. Sahni Honestly one of the sharper takes in this thread. AI did not c…
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Day 1 real task is the unlock honestly. I gave a new team member Claude and told…
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Clara Hawking- " But more importantly, it frames schools not merely as places of…
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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."
}
```