Raw LLM Responses
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in
Most of what the encyclical says is straightforward: AI systems can simulate emp…
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in
Chris Olah saying publicly that competitive pressure, capital pressure, and geop…
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in
this is where the AI debate becomes larger than technology policy. Human dignity…
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in
Thank you for sharing this Pascal BORNET. This is where the control question bec…
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in
The shift from isolated generative outputs to autonomous agentic execution prese…
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in
Sure, and when I use it to have sophisticated language discussions and to reflec…
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in
(sadly, the article is behind a paywall, so I don't know what it says... but I h…
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in
Pascal BORNET The most important AI decisions today are about governance, owners…
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Comment
The thing isn't that AI gets things wrong occasionally, it's that it can sound equally convincing when it's right or wrong.
LinkedIn
General AI Discourse
Training Leaders to Think and Win with AI | Tur…
2026-06-02T08:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | transparency |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | critical |
| Emotion | indifference |
| Value justification | The speaker wants AI to be transparent about its accuracy, highlighting the issue of AI sounding convincing even when wrong. |
| Target justification | The target of the comment is individual users who interact with AI systems and may be misled by their confident but incorrect responses. |
| Coded at | 2026-06-11T08:36:33Z |
Raw LLM Response
```
{
"value_primary": "transparency",
"value_secondary": "none",
"target": "individual_users",
"stance": "critical",
"emotion": "indifference",
"value_justification": "The speaker wants AI to be transparent about its accuracy, highlighting the issue of AI sounding convincing even when wrong.",
"target_justification": "The target of the comment is individual users who interact with AI systems and may be misled by their confident but incorrect responses."
}
```