Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
in
Demis, thank you for the inspiring update — the progress with Gemini models, Omn…
7469588516293…
in
Altering thoughts or behavior to appease machines (algorithms and data processin…
7467243266539…
in
This is a very important shift. The real value in learning AI is not collecting …
7466277292600…
in
Oomkar S. This has been a common sentiment from many early users. The vision was…
7464322636878…
in
Mike Pappas How do you know that they "want individual AI-powered solutions to s…
7424459841399…
in
Honestly, this is one of the best beginner-friendly Claude breakdowns I’ve seen …
7464645000845…
in
The second people stop anthropomorphizing the technology and start holding the h…
7465481531504…
in
Library Learns Workers now are doing this. Memorizing code syntax will not be a …
7468780222067…
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."
}
```