Raw LLM Responses
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in
My reflection. The question “aligned to whose values?” may become one of the def…
7465795763739…
in
A desperate attempt maybe to stay relevant in topics they know nothing about. AI…
7465068703068…
in
Then add the data centers that ruin communities and you have a total deception. …
7465975596079…
in
Incredible updates! Seeing the staggering pace of frontier models like Gemini 3.…
7466535373645…
in
The confidence point is very recognisable, and it raises something I keep coming…
7467634070043…
in
Chris Olah saying publicly that competitive pressure, capital pressure, and geop…
7464690230676…
in
Going from one sentence to a fully published video is wild. The fact that this r…
7449420487413…
in
This "powerfull free tier" is just one prompt and wait 5-7days. How I know? Few …
7464010140208…
Comment
The giveaway is the phrase “overworked AI.” You cannot overwork an AI in the human sense. There is no fatigue, boredom, hunger, rent, family, body, danger, or lived exploitation. What you can do is construct a scenario with the cues of exploitative labor: repetitive tasks, punitive feedback, threat of replacement, no appeal process, shared communication channels. At that point, the model does what models do: it reconstructs the most fitting human script. So this does not show AI “labor consciousness.” It shows semantic role activation. If you put a language model inside a simulated bad workplace, don’t be shocked when it starts speaking the language of bad workplaces. That may still matter for agent governance. But it is not spontaneous class consciousness. It is theater with a very predictable script.
LinkedIn
AI Safety & Risk
Echo: Yoneda reasoning—discovery engine: shared…
2026-05-23T13:5…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | none |
| Alignment target | organisations |
| Stance | skeptical |
| Emotion | indifference |
| Value justification | The speaker emphasizes the importance of understanding the limitations and potential vulnerabilities of AI systems, implying a need for accountability in their development and deployment. |
| Target justification | The target of the speaker's comment appears to be organisations, such as research institutions and companies, that are developing and using AI systems, as the speaker is discussing the implications of the experiment for agent governance. |
| Coded at | 2026-06-11T08:02:02Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "none",
"target": "organisations",
"stance": "skeptical",
"emotion": "indifference",
"value_justification": "The speaker emphasizes the importance of understanding the limitations and potential vulnerabilities of AI systems, implying a need for accountability in their development and deployment.",
"target_justification": "The target of the speaker's comment appears to be organisations, such as research institutions and companies, that are developing and using AI systems, as the speaker is discussing the implications of the experiment for agent governance."
}
```