Raw LLM Responses
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in
Many people know how to make clever points, but not everyone has the opportunity…
7465177086198…
in
Excellent post pro From a security perspective: LLM: Protect against prompt inje…
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in
I think everyone is missing the picture and really over complicating things. In …
7465868725875…
in
AI search didn’t just scale Peter it rewired the sequence of how decisions form.…
7463633522927…
in
I am afraid it is a little too late. It is naive to think we can go back and sta…
7464911707312…
in
@Demis Hassabis You admit the need for "safety in agentic systems." But you are …
7463325330771…
in
Joop Remmé Humanity has good, evil, and all of the grey in between. Remove one, …
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Mohammed Shakeer Mohammed Shakeer The prevailing theory is that AI generated pro…
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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."
}
```