Raw LLM Responses
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in
Too real. AI can be wrong with the confidence of a senior consultant and then ge…
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Honestly, this is one of the best beginner-friendly Claude breakdowns I’ve seen …
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} Hello Demis, I hope you are doing well. I have been following the progress of …
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Paul Crinigan I didn't Experiance that, AI developed my autonomous crypto tradin…
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The 'who benefits' framing exposes the governance gap. I see companies rushing t…
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Karthikkeyan Vijayan SO integrating AI is the right move. Blocking AI access to …
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I will say this. I can understand this analogy - for sure. It makes sense (as do…
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Sanders asks the right question — and immediately retreats from it. "Who decides…
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Comment
Rebecca Human AI Trust Leader Yes and no 🙂 I think that, as you stated, AI can "re-solve" known (from training data) problems, in different variations. But it can also generate solutions that match for new (in the sense of "not been in training data") problems. Most likely this is not how a human would have tackled a new problem, but the result can still be of value, ideally checked, confirmed and utilized by a knowledgeable human. Furthermore, I disagree with "machines do not navigate the real world". They do, collecting and analyzing enormous amount of data for military and for civilian purposes.
LinkedIn
General AI Discourse
Projektmanager
2026-05-23T08:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | human_autonomy |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | optimistic |
| Emotion | approval |
| Value justification | The speaker emphasizes the importance of human oversight and confirmation of AI-generated solutions, indicating a desire to maintain human control and autonomy in decision-making processes. |
| Target justification | The speaker's focus on the interaction between humans and AI, particularly in the context of problem-solving and decision-making, suggests that the target of alignment is individual users who work with AI systems. |
| Coded at | 2026-06-11T08:01:00Z |
Raw LLM Response
```
{
"value_primary": "human_autonomy",
"value_secondary": "none",
"target": "individual_users",
"stance": "optimistic",
"emotion": "approval",
"value_justification": "The speaker emphasizes the importance of human oversight and confirmation of AI-generated solutions, indicating a desire to maintain human control and autonomy in decision-making processes.",
"target_justification": "The speaker's focus on the interaction between humans and AI, particularly in the context of problem-solving and decision-making, suggests that the target of alignment is individual users who work with AI systems."
}
```