Raw LLM Responses
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in
AI impacts work, but human compliance expertise is crucial. Navigating TTB and s…
7464166813048…
in
AI is not cheap labor. It is leverage. But leverage only works if the workflow i…
7464962449264…
in
This is what happens when companies don’t truly understand what they are getting…
7465465083406…
in
Strong explanation — especially the shift from isolated models toward layered AI…
7464654815554…
in
Clara, the framing of schools as civilizational institutions responsible for hum…
7465109674334…
in
The question also extends to how the control is done, how much of AI are we impl…
7465064247069…
in
Congratulations Demis! We’re working on a new AI cognition model that represents…
7463652979850…
in
The shift from isolated tutorials to open-sourcing actual enterprise-grade, prod…
7463135266371…
Comment
Your framework elegantly explains why some AI projects deliver impressive prototypes but struggle with production deployment. Missing layers or weak connections between layers prevent scaling from capability demonstrations to business value.
LinkedIn
Workplace & Jobs
Head of GTM Smart Answering services @ SoundHou…
2026-05-25T12:2…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | beneficence |
| Secondary value | none |
| Alignment target | organisations |
| Stance | optimistic |
| Emotion | approval |
| Value justification | The comment implies that AI systems should be designed to deliver business value, which is a key aspect of beneficence, as it promotes human wellbeing and flourishing through effective technology deployment. |
| Target justification | The comment mentions production deployment and business value, indicating that the target of AI alignment is organisations, which are the entities that deploy AI systems to achieve business goals. |
| Coded at | 2026-06-11T08:07:13Z |
Raw LLM Response
```
{
"value_primary": "beneficence",
"value_secondary": "none",
"target": "organisations",
"stance": "optimistic",
"emotion": "approval",
"value_justification": "The comment implies that AI systems should be designed to deliver business value, which is a key aspect of beneficence, as it promotes human wellbeing and flourishing through effective technology deployment.",
"target_justification": "The comment mentions production deployment and business value, indicating that the target of AI alignment is organisations, which are the entities that deploy AI systems to achieve business goals."
}
```