Raw LLM Responses
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in
Pradeep Sanyal You just defined the exact battlefield of next-gen AI Governance,…
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The SynthID coalition is the most underappreciated announcement here. OpenAI emb…
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in
Do you honestly think it naturally follows that the net result will be AI, robot…
7464825611421…
in
The real risk isn't AI taking our jobs, it's humans outsourcing their judgment s…
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in
This hits the core of the issue, Matthew Kilkenny. Technology is never morally n…
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in
Google I/O is a useful AGI checkpoint because DeepMind is packaging capability i…
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Gemini for Science is honestly one of the most exciting parts here. If AI can ge…
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Thought-provoking perspective on the future of work. The real challenge isn’t ju…
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Comment
Luís Rodrigues Great breakdown. One thing I would add: in enterprise AI, the weakest layer is often not the model. It is the system around it. LLMs, RAG, Agents, and MCP only create value when data quality, permissions, governance, ownership, and decision flows are designed intentionally. Agentic AI is powerful, but without the right operating model, it can simply automate confusion faster. The real work is designing the whole system.
LinkedIn
Workplace & Jobs
No-Fluff Transformation Partner ⚡ Cuts decision…
2026-05-25T18:3…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | none |
| Alignment target | organisations |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes the importance of intentional design in data quality, permissions, governance, ownership, and decision flows, which relates to accountability. |
| Target justification | The comment is directed at enterprise AI, implying that the target is organisations, as it discusses the system around AI models and the need for a well-designed operating model. |
| Coded at | 2026-06-11T08:09:24Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "none",
"target": "organisations",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the importance of intentional design in data quality, permissions, governance, ownership, and decision flows, which relates to accountability.",
"target_justification": "The comment is directed at enterprise AI, implying that the target is organisations, as it discusses the system around AI models and the need for a well-designed operating model."
}
```