Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
in
For field robots, AI is not only about better conversation or coding. It is abou…
7463314655923…
in
Luís Rodrigues This is a useful way to frame the AI stack. LLMs, RAG, agents, an…
7464782746461…
in
Exactly. AI is powerful, but many companies treated it like a replacement strate…
7465056015944…
in
Abacus? Really? I mean seriously? I have an Abacus and 1minAI account and this i…
7466877880925…
in
Stand by me, Demis Hassabis... I create Sarinem Chat with Opal (your multi-modal…
7463455972225…
in
All the more reason to run your own AI, privately.⠀ Datacenters (plantations) ar…
7463616969431…
in
Pascal, this reframe cuts right to it. In enterprise GTM and CS contexts, I see …
7465279438583…
in
The real risk isn't AI taking our jobs, it's humans outsourcing their judgment s…
7464590955933…
Comment
The 'who benefits' framing exposes the governance gap. I see companies rushing to deploy agents without defining ownership of the output or liability for errors. Speed beats scrutiny every time. How are you seeing leadership teams actually structure accountability for autonomous AI decisions?
LinkedIn
AI Policy & Regulation
Creating Breakthroughs by Leaders, AI, Strategy…
2026-05-26T05:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | fairness |
| Alignment target | organisations |
| Stance | critical |
| Emotion | outrage |
| Value justification | The speaker emphasizes the need for accountability and liability for errors in AI decision-making, indicating a primary concern for accountability. |
| Target justification | The comment focuses on companies and leadership teams, suggesting that the target of the speaker's concern is organisations. |
| Coded at | 2026-06-11T08:11:53Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "fairness",
"target": "organisations",
"stance": "critical",
"emotion": "outrage",
"value_justification": "The speaker emphasizes the need for accountability and liability for errors in AI decision-making, indicating a primary concern for accountability.",
"target_justification": "The comment focuses on companies and leadership teams, suggesting that the target of the speaker's concern is organisations."
}
```