Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
in
"released onto an unsuspecting public" is absolutely right. I wish I saw that fr…
7465155802295…
in
Amanda Kasmira Brown, I am glad this encyclical helps endorse all those who work…
7466137998410…
in
Interesting reality check. The conversation should move from “AI replacing human…
7467202844102…
in
People need to relax a bit. Elon isn't even close to the richest person in the w…
7464968330307…
in
This is a helpful way to explain the AI stack. LLMs think, RAG retrieves, Agents…
7464673512428…
in
The most important decisions in AI are no longer about capability, they are abou…
7464919303570…
in
IMO, Magnifica Humanitas is not simply about “AI ethics” in the usual sense. It …
7465242799047…
in
The next phase of AI strategy and implementation will be discerning where to use…
7470166502525…
Comment
I believe this is misplacing AI skepticism. pretty soon, there will be no discernible distinction between human advice and AI's. a more current frontier for skepticism is the efficiency (or lack of thereof) of AI output. it's becoming obvious that the current output is just too expensive to sustain. but that barrier too is likely to fall. when it falls, accountability (and liability) will be at the center stage of our troubled relationship with the algorithm. but this also will eventually be solved. what will never be solved is the human element, the sharing of human experience. there is where my most permanent AI skepticism lies, and I don't see it ever going away.
LinkedIn
General AI Discourse
Audit, Risk, Compliance
2026-06-02T12:3…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | none |
| Alignment target | humanity |
| Stance | skeptical |
| Emotion | unclear |
| Value justification | The speaker mentions that accountability and liability will be at the center stage of the relationship with AI when the efficiency barrier falls. |
| Target justification | The speaker discusses the impact of AI on human experience and the relationship between humans and algorithms, indicating a focus on the broader implications for humanity. |
| Coded at | 2026-06-11T08:36:59Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "none",
"target": "humanity",
"stance": "skeptical",
"emotion": "skepticism",
"value_justification": "The speaker mentions that accountability and liability will be at the center stage of the relationship with AI when the efficiency barrier falls.",
"target_justification": "The speaker discusses the impact of AI on human experience and the relationship between humans and algorithms, indicating a focus on the broader implications for humanity."
}
```