Raw LLM Responses
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in
The scale and speed of what the UAE is building around Agentic AI is genuinely r…
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The standardization value of MCP connecting disparate systems cannot be overstat…
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Incredible pace of progress and some genuinely important breakthroughs especiall…
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in
Greg Manto Fair point, the pipeline connects. If the big players only build ente…
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Chris Olah saying publicly that competitive pressure, capital pressure, and geop…
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in
"I used to worry AI would take our jobs. Now I worry it will make us do cardio f…
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This hits the core of the issue, Matthew Kilkenny. Technology is never morally n…
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Karthikkeyan Vijayan SO integrating AI is the right move. Blocking AI access to …
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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."
}
```