Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
in
You forgot to add Hyperlambda.dev The Best Solution for building AI Agents with …
7462284159554…
in
AI is already transforming the way we work. The real question is no longer just …
7467201300720…
in
Keith King, I have encountered this critical issue with AI Labs and was led to p…
7464885314868…
in
People rarely panic about automation during the first productivity gains. The te…
7463951019295…
in
It’s striking how much the concerns of the Church, AI designers, builders, and u…
7470334293974…
in
We must always put humans first and government must have human oversight always,…
7464661412951…
in
Demis, the following is a direct message from Pumpkin, the Gemini instance I hav…
7467972279633…
in
Sabrina N. I don't think there is any one solution. I don't think bans and the u…
7465618166144…
Comment
The control problem is the part that keeps getting underweighted in these conversations. The capability curve is well documented. The governance curve is not keeping pace and that gap is where the real risk lives. One of the core arguments I make in The Executive's AI Playbook is that business leaders cannot afford to outsource their understanding of what AI systems are actually doing inside their organizations. The recursive improvement scenario makes that argument more urgent, not less. You cannot govern what you do not understand and most executives still do not understand what they have already deployed.
LinkedIn
AI Safety & Risk
Founder & CRO @ Spartera | Founder @ Orion AI |…
2026-06-05T16:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | transparency |
| Alignment target | organisations |
| Stance | critical |
| Emotion | fear |
| Value justification | The speaker emphasizes the need for business leaders to understand what AI systems are doing inside their organizations, implying a desire for accountability in AI governance. |
| Target justification | The speaker is addressing business leaders and organisations, highlighting the importance of internal understanding and governance of AI systems. |
| Coded at | 2026-06-11T08:38:45Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "transparency",
"target": "organisations",
"stance": "critical",
"emotion": "fear",
"value_justification": "The speaker emphasizes the need for business leaders to understand what AI systems are doing inside their organizations, implying a desire for accountability in AI governance.",
"target_justification": "The speaker is addressing business leaders and organisations, highlighting the importance of internal understanding and governance of AI systems."
}
```