Raw LLM Responses
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in
So true. People never wunder why they are pushing Ai. It's not for the greater g…
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in
Great job! Now I'm waiting for somebody to build an AI system that consumes Link…
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in
In the context of AI, informal data stewards are the people catching the problem…
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in
Thank you for your reflections. I’ve ordered a hard copy, which will arrive in J…
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in
Atheism only says God is absent from the material world. It does not mean humans…
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in
The biggest AI risk for many organizations may not be the technology itself. It …
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in
What’s striking in this wave of progress isn’t just the acceleration of capabili…
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in
My original post got enormous interest 100s of likes and more than 40 reposts an…
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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."
}
```