Raw LLM Responses
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in
With new technology there will be good and not so good outcomes. Take for exampl…
7465439981969…
in
Safety of agentic systems starts with visibility. Most deployment failures don’t…
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in
The implications of this are far bigger than most people realize. If this works …
7464888623411…
in
Thank you for sharing this Pascal BORNET. This is where the control question bec…
7465391386796…
in
If Anthropic engineers vibe code and their product is getting insane hype, you k…
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in
You are right. Its that every AI company has a government deal...So it's Palanti…
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in
The plug it in bit...I work with lots of clients who understandly aren’t comfort…
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in
Human Centric frameworks that puts AI-Forward is a good balance. But orgs who pu…
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Comment
This is exactly the point: recursive self-improvement is not only a technical question, but a governance question. Even before AI systems become capable of designing their own successors, we already see a more immediate issue: AI is accelerating the pace at which humans build AI. That compression of time matters. Safety frameworks, public understanding, institutional oversight, and clinical or scientific validation do not scale as quickly as code generation. The opportunity is enormous, especially for medicine and research. But the central question is not whether AI can improve AI. It is whether human institutions can remain capable of understanding, auditing, and steering that process before the gap becomes too large.
LinkedIn
AI Safety & Risk
2026-06-05T16:4…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | safety |
| Alignment target | humanity |
| Stance | critical |
| Emotion | fear |
| Value justification | The speaker emphasizes the need for human institutions to understand, audit, and steer the AI development process, highlighting the importance of accountability. |
| Target justification | The speaker's concern is directed towards the impact of AI on human institutions and society as a whole, indicating a focus on humanity. |
| Coded at | 2026-06-11T08:38:52Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "safety",
"target": "humanity",
"stance": "critical",
"emotion": "fear",
"value_justification": "The speaker emphasizes the need for human institutions to understand, audit, and steer the AI development process, highlighting the importance of accountability.",
"target_justification": "The speaker's concern is directed towards the impact of AI on human institutions and society as a whole, indicating a focus on humanity."
}
```