Raw LLM Responses
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in
The industry is moving from AI hype to AI accountability. The real question was …
7465074550016…
in
Concerns like this are why some push against adoption altogether. But it's becom…
7465250612612…
in
Going from one sentence to a fully published video is wild. The fact that this r…
7449420487413…
in
I'm surprised Laura the AI director is called it chatGPT when it's actually open…
7466823924958…
in
Keith King, I have encountered this critical issue with AI Labs and was led to p…
7464885314868…
in
Respecting your struggle over the last many years Matthew, it’s good to know fin…
7465141383905…
in
Another reminder that innovation without human dignity eventually becomes extrac…
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in
The most interesting shift is not AI replacing expertise, but expanding what exp…
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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."
}
```