Raw LLM Responses

Inspect the exact model output for any coded comment.

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
DimensionValue
Primary valueaccountability
Secondary valuenone
Alignment targetorganisations
Stanceskeptical
Emotionindifference
Value justificationThe 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 justificationThe 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 at2026-06-11T08:02:02Z
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." } ```