Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
in
In the context of AI, informal data stewards are the people catching the problem…
7455462971734…
in
Very important perspective. The biggest AI question is probably no longer whethe…
7464968754314…
in
yeah the “AI layers” metaphor lands. i’ve learned the hard way that if you skip …
7464684065976…
in
Which is why it should only be a tool, and not a sole source of reliance. AI, wh…
7467500189822…
in
This hits the core of the issue, Matthew Kilkenny. Technology is never morally n…
7465079911347…
in
Thank you for writing this so honestly, Paolo. The 'raised the floor' line is th…
7464262548213…
in
We've seen the same thing back in the 2000s when the Internet bubble burst. So a…
7467936931348…
in
srsly...the Emperor's church as the moral high ground 🤣 ...the image implies the…
7465225976520…
Comment
If task is vague, they complete the wrong thing fast. The hands need guardrails... runtime bounds max spend, max actions, and approval for high risk actions, and audit trails, and kill switch. The nervous system MCP is the wiring. The brain LLM is the intelligence. The hands Agent are the execution. All three need to be designed together. The weakest layer diagnostic is the starting point.
LinkedIn
Workplace & Jobs
AI & Machine Learning Consultant | Saving Teams…
2026-05-25T15:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | safety |
| Secondary value | accountability |
| Alignment target | organisations |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker wants AI to have safety features such as guardrails and runtime bounds to prevent it from completing the wrong tasks. |
| Target justification | The speaker is addressing the design of AI systems for organisations, highlighting the need for a comprehensive approach that includes multiple layers. |
| Coded at | 2026-06-11T08:08:35Z |
Raw LLM Response
```
{
"value_primary": "safety",
"value_secondary": "accountability",
"target": "organisations",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker wants AI to have safety features such as guardrails and runtime bounds to prevent it from completing the wrong tasks.",
"target_justification": "The speaker is addressing the design of AI systems for organisations, highlighting the need for a comprehensive approach that includes multiple layers."
}
```