Raw LLM Responses
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in
Hey man! We gotta talk. I have built a Distributed AI Infrastructure platform, a…
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The best leaders right now are the ones who've made "cite your source and show y…
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SAURABH SINGH Interesting perspective Crazy how fast companies adopted AI withou…
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The #1 most used model on OpenRouter right now costs $0.07 per million tokens (H…
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Insightful shift in perspective. It’s vital to prioritize ethical frameworks in …
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AI is not cheap labor. It is leverage. But leverage only works if the workflow i…
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Assessment shapes behaviour. Change the assessment, change the behaviour. When g…
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What makes this moment historically important is that AI is no longer evolving a…
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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."
}
```