Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
in
AI from ChinaTM, right!When dependence becomes a strategic risk, self-reliance t…
7463584807743…
in
Ramon Portillo, Ph.D. Maybe in some places, but I happen to be sitting in front …
7464793415382…
in
"The proactive thrive. The passive get displaced." Since when this is a new tren…
7466902448389…
in
This gets me thinking in lot of other examples of hidden inference Name in promp…
7466763853373…
in
@Demis Hassabis You admit the need for "safety in agentic systems." But you are …
7463325330771…
in
🚨 Silent UI Fragmentation: The legacy, single-tap TTS "Speaker" integration was …
7466118625612…
in
Aaron H Indeed it does not sure what you mean by the “handful of people” : the “…
7465288613396…
in
While there's some general wisdom in Pope Leo's AI encyclical, it also completel…
7465619827131…
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."
}
```