Raw LLM Responses
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in
All the more reason to run your own AI, privately.⠀ Datacenters (plantations) ar…
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in
The real question behind AI is exactly right, who benefits and who sets the dire…
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This post captures why point solutions fail in enterprise environments. Real AI …
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We've seen the same thing back in the 2000s when the Internet bubble burst. So a…
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Irresponsible and should be immediately stopped by governments. This is dangerou…
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“NVIDIA has already lost China” sounds punchy, but it collapses under the first …
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Always friendly answers, but not always what you need in the specific context. A…
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The strongest part here is the sequencing from context → personalization → integ…
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Comment
Jérôme Frossard You raise valid concerns, and honestly that’s exactly why conversations like this matter. The issue isn’t just AI itself, it’s who controls it, how it’s deployed, how transparent it is, and whether society has any meaningful oversight in the process. Technology introduced at massive scale without public understanding or democratic discussion naturally creates distrust. I don’t think the answer is blind adoption or blind rejection. I think the answer is verification, transparency, accountability, and systems that encourage cross checking rather than dependence on a single source of “truth.” That’s partly why I’ve been so interested in concepts like consensus based AI systems. Not to replace human judgment, but to strengthen it by comparing perspectives, exposing inconsistencies, and reducing the risks of centralized influence or bias. At the end of the day, AI should remain a tool that serves humanity, not a system humanity quietly adapts itself around.
LinkedIn
General AI Discourse
Founder | Building ConsensusAI – AI Consensus &…
2026-05-23T12:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | transparency |
| Secondary value | accountability |
| Alignment target | society |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes the need for transparency, verification, and accountability in AI systems, indicating a primary concern for transparency. |
| Target justification | The speaker mentions the importance of public understanding, democratic discussion, and societal oversight, suggesting that the target of AI alignment is society as a whole. |
| Coded at | 2026-06-11T08:01:42Z |
Raw LLM Response
```
{
"value_primary": "transparency",
"value_secondary": "accountability",
"target": "society",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the need for transparency, verification, and accountability in AI systems, indicating a primary concern for transparency.",
"target_justification": "The speaker mentions the importance of public understanding, democratic discussion, and societal oversight, suggesting that the target of AI alignment is society as a whole."
}
```