Raw LLM Responses
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in
AI may expand what researchers can discover, but perhaps its greatest impact wil…
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This is explored in my new book on Artificial Intelligence - AIlienMinds summary…
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Sure, and when I use it to have sophisticated language discussions and to reflec…
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While there's some general wisdom in Pope Leo's AI encyclical, it also completel…
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This is such an important conversation, Matthew Kilkenny! AI is advancing quickl…
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AI seriously disrupts the business model of academia. For decades, many academic…
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Rebecca Human AI Trust Leader Thank you for always adding value apologies I am j…
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Justin Wright great list. This is always what we’re headhunting for in executive…
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Comment
Rujuta Singh From what I have gathered..most of the work dont by AI engineer are to build AI agents followed by new specific MCP server ( writing AI interfaces to process and interact with new system), and lastly building/ defining new and better RAG to cut down Hallucination and false positive responses. Other work areas are prompt engineering to allow for better token management along with leveraging more on context engineering (coming up with better and more efficient token and persistency in vector database)
LinkedIn
Workplace & Jobs
Enterprise Cloud Solution Architect - High Perf…
2026-05-25T15:2…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | beneficence |
| Secondary value | none |
| Alignment target | organisations |
| Stance | optimistic |
| Emotion | approval |
| Value justification | The speaker wants AI to be used for improving its performance and efficiency, which aligns with the value of beneficence, promoting human wellbeing and flourishing. |
| Target justification | The speaker is discussing the work areas of AI engineers, which suggests that the target of AI alignment is organisations, specifically the companies or institutions that employ these engineers. |
| Coded at | 2026-06-11T08:08:39Z |
Raw LLM Response
```json
{
"value_primary": "beneficence",
"value_secondary": "none",
"target": "organisations",
"stance": "optimistic",
"emotion": "approval",
"value_justification": "The speaker wants AI to be used for improving its performance and efficiency, which aligns with the value of beneficence, promoting human wellbeing and flourishing.",
"target_justification": "The speaker is discussing the work areas of AI engineers, which suggests that the target of AI alignment is organisations, specifically the companies or institutions that employ these engineers."
}
```