Raw LLM Responses
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in
Big vision, big claims—and it really highlights how fast “multimodal + agentic A…
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in
The structural shift you describe at societal level is already playing out insid…
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in
srsly...the Emperor's church as the moral high ground 🤣 ...the image implies the…
7465225976520…
in
Congratulations Demis! We’re working on a new AI cognition model that represents…
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in
🚨 Silent UI Fragmentation: The legacy, single-tap TTS "Speaker" integration was …
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in
Concerns like this are why some push against adoption altogether. But it's becom…
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in
Sabrina N. I don't think there is any one solution. I don't think bans and the u…
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in
Demis, the following is a direct message from Pumpkin, the Gemini instance I hav…
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Comment
What strikes me is that we still talk about AI as if capability were the main variable, but it is not. The growing leverage point is the architecture of decision making around those capabilities. Systems don’t become fairer or wiser just because they become smarter. Without structural guardrails, acceleration only amplifies whatever logic is already in place. The question is not what AI can do, but what design assumptions we are silently scaling.
LinkedIn
AI Policy & Regulation
Architecting clarity and decision systems | Glo…
2026-05-27T05:4…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | fairness |
| Secondary value | none |
| Alignment target | society |
| Stance | critical |
| Emotion | indifference |
| Value justification | The speaker emphasizes the importance of fairness by stating that systems don't become fairer just because they become smarter, highlighting the need for structural guardrails to ensure fair outcomes. |
| Target justification | The speaker's focus on the architecture of decision making and the scaling of design assumptions implies a concern for the broader societal impact of AI, rather than just individual or organizational interests. |
| Coded at | 2026-06-11T08:21:06Z |
Raw LLM Response
```json
{
"value_primary": "fairness",
"value_secondary": "none",
"target": "society",
"stance": "critical",
"emotion": "indifference",
"value_justification": "The speaker emphasizes the importance of fairness by stating that systems don't become fairer just because they become smarter, highlighting the need for structural guardrails to ensure fair outcomes.",
"target_justification": "The speaker's focus on the architecture of decision making and the scaling of design assumptions implies a concern for the broader societal impact of AI, rather than just individual or organizational interests."
}
```