Raw LLM Responses
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in
I hope they found a reliable Ai that doesn’t hallucinate at all. Sounds like a m…
7464637181991…
in
This is the responsible thing to do, and other frontier labs and politicians sho…
7464748924126…
in
Tyrone Muhammad, BSDA exactly. SO was built for a time when finding the right an…
7466906916955…
in
Interesting development. I think we really need to take this movement seriously.…
7468689884321…
in
The industry is moving from AI hype to AI accountability. The real question was …
7465074550016…
in
It is the responsibility of all governments in the world to NOW care for their p…
7464991565753…
in
"Interesting framing from Terence Tao. The value here isn't AI doing the thinkin…
7466349983923…
in
AI agents are programmed by humans and are not 100% autonomous. Numerous filters…
7463967613690…
Comment
The confidence point is very recognisable, and it raises something I keep coming back to in my own use of AI. What looks like confidence is not really confidence in the human sense. The model is producing an answer through a mathematical/probabilistic process, not weighing doubt or certainty as a person might. That is why fluency can be so misleading: we can mistake it for judgement, and certainty for truth. Verification matters; so does resisting the temptation to anthropomorphise what the system is doing.
LinkedIn
General AI Discourse
Finance Leader with extensive background in str…
2026-06-02T17:5…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | transparency |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | critical |
| Emotion | indifference |
| Value justification | The speaker emphasizes the importance of understanding how AI models work and not mistaking fluency for judgement, which relates to the value of transparency in AI decision-making. |
| Target justification | The speaker is discussing their own use of AI and how they interpret its outputs, indicating that the target of alignment is the individual user. |
| Coded at | 2026-06-11T08:37:06Z |
Raw LLM Response
```
{
"value_primary": "transparency",
"value_secondary": "none",
"target": "individual_users",
"stance": "critical",
"emotion": "indifference",
"value_justification": "The speaker emphasizes the importance of understanding how AI models work and not mistaking fluency for judgement, which relates to the value of transparency in AI decision-making.",
"target_justification": "The speaker is discussing their own use of AI and how they interpret its outputs, indicating that the target of alignment is the individual user."
}
```