Raw LLM Responses
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in
This is the correction phase of the AI hype cycle that many experienced engineer…
7465065210773…
in
Pascal BORNET The real inflection point is governance of AI driven value distrib…
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in
The most interesting shift is not AI replacing expertise, but expanding what exp…
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in
@Pascal, the cardio-as-fuel framing is brilliant because it exposes how reductiv…
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Michelle L. Being obsolete after graduation will depend on their major & minor. …
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A lot of people are focused on which AI model is winning. The bigger opportunity…
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Godfrey Jeremiah While it can be used for training if time is not a constraint, …
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Dr. Dean Fido CPsychol AI review is a large amount of work, often outside person…
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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."
}
```