Raw LLM Responses
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in
Godfrey Jeremiah While it can be used for training if time is not a constraint, …
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Human Centric frameworks that puts AI-Forward is a good balance. But orgs who pu…
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Then add the data centers that ruin communities and you have a total deception. …
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Really thoughtful framing I don’t think AI can be “disarmed” in the sense that c…
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I think we are entering the “adoption race.” This brand is better than that one.…
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in
The truth exists. Every religion has books full of truth and people who don’t ac…
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If AI takes over repetitive work, that's not the end of human value it's an oppo…
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“It’s truly remarkable to witness the accelerating pace of AI development, as De…
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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."
}
```