Raw LLM Responses
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in
It’s striking how much the concerns of the Church, AI designers, builders, and u…
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in
I believe it’s a short dip as companies are starting to realize how implementing…
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in
As the Pink Floyd song goes: "Welcome... to... the machine." Certainly we will n…
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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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in
Mehran Shovkati that's a fair point. AI gives you the answer. SO forced you to u…
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in
AI seriously disrupts the business model of academia. For decades, many academic…
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in
Tyrone Muhammad, BSDA exactly. SO was built for a time when finding the right an…
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The EdTech point 👏🏾 If the systems being deployed in learning environments carry…
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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."
}
```