Raw LLM Responses
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in
Most organizations are still experimenting with AI assistants. The UAE appears t…
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I would not be surprised that there is Strong oversight on the process that AI a…
7464727076370…
in
I agree. Most students are not trying to break the rules, they are trying to nav…
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in
Beautifully said. The point about slow reading feels essential. A document conce…
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in
Though the approach is great but if you follow the reviews, antigravity 2.0 is q…
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in
As the Pink Floyd song goes: "Welcome... to... the machine." Certainly we will n…
7464677238194…
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The most important decisions in AI are no longer about capability, they are abou…
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If AI removes the repetitive work, the next bottleneck becomes judgment and acco…
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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."
}
```