Raw LLM Responses
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in
Vatican is now taking interest in AI Safety - its important and significant. Vat…
7465598627374…
in
This is explored in my new book on Artificial Intelligence - AIlienMinds summary…
7463703198285…
in
I think part of this discussion may be focusing too narrowly on assessment metho…
7464397751410…
in
A few mornings ago I came across a LinkedIn Post titled: The Vatican has just pu…
7465854569009…
in
Shawn Bullock, which is why I keep saying, Science and Philosophy can only take …
7470467814424…
in
Thank you for writing this so honestly, Paolo. The 'raised the floor' line is th…
7464262548213…
in
Gemini Omni, Gemini for Science, CodeMender, and SynthID all point to the same d…
7465749046205…
in
The most important AI question was never just capability.It was always governanc…
7465429403355…
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."
}
```