Raw LLM Responses
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in
Honestly, Day 3 is where the real magic happens. Banning words like "delve" or "…
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in
There's a version of leadership that's disappearing fast.The kind where your val…
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in
Very clear and practical framing. What I like about this analogy is that it sepa…
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in
Pascal BORNET The real inflection point is governance of incentives. AI is alrea…
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in
"This is the heart of AI – helping in real, human moments. The agentic era you m…
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in
Yes, students can now use AI to generate essays without deeply reading books, bu…
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in
IMO, Magnifica Humanitas is not simply about “AI ethics” in the usual sense. It …
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Luís Rodrigues This is a useful simplification because many organisations still …
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Comment
Luís Rodrigues I think this has to start higher and has to go deeper. First AI is not equal AI. Anthropic and OpenAI don't share training data, prompts, weights and built in configuration. Anthrophic has 11 products that all have different limits and purposes. When using any of those everything starts with understanding the built in tools like read, webfetch. What you describe is a set of fancy over hyped key term. Behavioral patterns, known use cases. There dependencies. Guardrails, built in immutable prompts, those are the things that differentiate. An MCP an agent could be anything.. My skills in my workspace use API calls, run external judges, confirm semantically, review visually. Are those skills them agents? Can they overcome the char count limit of any built in tool?
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Workplace & Jobs
Senior Director — Enterprise AI Transformation …
2026-05-26T05:4…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | transparency |
| Secondary value | accountability |
| Alignment target | individual_users |
| Stance | critical |
| Emotion | outrage |
| Value justification | The speaker emphasizes the importance of understanding the built-in tools and limitations of AI systems, suggesting a desire for transparency in AI development and deployment. |
| Target justification | The speaker appears to be addressing individual users, such as themselves, who need to understand the capabilities and limitations of AI systems to use them effectively. |
| Coded at | 2026-06-11T08:12:11Z |
Raw LLM Response
```json
{
"value_primary": "transparency",
"value_secondary": "accountability",
"target": "individual_users",
"stance": "critical",
"emotion": "outrage",
"value_justification": "The speaker emphasizes the importance of understanding the built-in tools and limitations of AI systems, suggesting a desire for transparency in AI development and deployment.",
"target_justification": "The speaker appears to be addressing individual users, such as themselves, who need to understand the capabilities and limitations of AI systems to use them effectively."
}
```