Raw LLM Responses
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in
Most of what the encyclical says is straightforward: AI systems can simulate emp…
7466400218427…
in
I am afraid it is a little too late. It is naive to think we can go back and sta…
7464911707312…
in
Kun Cheng Absolutely. Physical AI becomes truly useful only when intelligence mo…
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Rebecca Human AI Trust Leader Thank you for always adding value apologies I am j…
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in
Agreed. As AI tools continue to proliferate, the real value will be in platforms…
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in
What makes this moment historically important is that AI is no longer evolving a…
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in
Evan Hunter Evan the nuclear analogy lands hard because it's exact. We didn't le…
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While there's some general wisdom in Pope Leo's AI encyclical, it also completel…
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Comment
AI is not cheap labor. It is leverage. But leverage only works if the workflow is designed well. If every engineer runs agents on every task without cost control, context, review, and clear ownership, the bill will explode. So I think it is not “AI vs humans”. I think the key q-n we should ask is: where does AI improve output per dollar?
LinkedIn
Workplace & Jobs
Serial Entrepreneur | AI-Native Infra & Autonom…
2026-05-26T08:5…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | economic_equity |
| Secondary value | none |
| Alignment target | organisations |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes the importance of cost control and efficient workflow design to leverage AI effectively, highlighting the need for economic equity in AI adoption. |
| Target justification | The speaker appears to be addressing organisations, such as Microsoft, Uber, and NVIDIA, that are adopting AI and need to optimize their workflow to improve output per dollar. |
| Coded at | 2026-06-11T08:13:17Z |
Raw LLM Response
```json
{
"value_primary": "economic_equity",
"value_secondary": "none",
"target": "organisations",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the importance of cost control and efficient workflow design to leverage AI effectively, highlighting the need for economic equity in AI adoption.",
"target_justification": "The speaker appears to be addressing organisations, such as Microsoft, Uber, and NVIDIA, that are adopting AI and need to optimize their workflow to improve output per dollar."
}
```