Raw LLM Responses
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in
The concern around AI isn’t really the technology itself... it’s blind trust wit…
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in
This is one of the most important conversations in AI today because it moves bey…
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in
All the comments below seem to support Bernie's point - AI being controlled by a…
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in
As AI becomes more influential in everyday life, keeping human dignity, responsi…
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in
I'm glad OpenAI and the Vatican are in sync, but I'm skeptical of the AI corps o…
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Too real. AI can be wrong with the confidence of a senior consultant and then ge…
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“whether society can evolve fast enough...” It’s disturbing to put whole societi…
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@Demis Hassabis You admit the need for "safety in agentic systems." But you are …
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Comment
This is a helpful way to explain the AI stack. LLMs think, RAG retrieves, Agents act, and MCP connects. But one layer is still missing: structural state. AI cannot make reliable enterprise decisions from files alone. A file stores content, but it does not carry state, permission, responsibility, history, risk, or execution conditions. Humans judge situations through relationships and context, not data alone. The same document can mean different things depending on who approved it, what state it is in, and whether action is allowed. So the next step is turning documents and data from static files into objects. Only then can AI move from retrieval and automation to responsible decision support. Enterprise AI will not mature only by connecting more tools. It will mature when data itself becomes structurally intelligent.
LinkedIn
Workplace & Jobs
Designing Structural Closure and Two-Mode Execu…
2026-05-25T13:4…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | none |
| Alignment target | organisations |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes the need for AI to consider structural state, permission, responsibility, and history to make reliable decisions, which is related to accountability. |
| Target justification | The comment focuses on enterprise decisions and the maturity of enterprise AI, indicating that the target is organisations. |
| Coded at | 2026-06-11T08:07:58Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "none",
"target": "organisations",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the need for AI to consider structural state, permission, responsibility, and history to make reliable decisions, which is related to accountability.",
"target_justification": "The comment focuses on enterprise decisions and the maturity of enterprise AI, indicating that the target is organisations."
}
```