Raw LLM Responses
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in
The real promise of AI is not replacing human thinking, but expanding what human…
7466493518585…
in
Workflow complexity becomes the real barrier in AI maturity. Value increases whe…
7466886737705…
in
Strong point on agents.Thank you, Demis. My conviction is that the next governan…
7463321134097…
in
We've seen the same thing back in the 2000s when the Internet bubble burst. So a…
7467936931348…
in
Oomkar S. This has been a common sentiment from many early users. The vision was…
7464322636878…
in
The concern around AI isn’t really the technology itself... it’s blind trust wit…
7463902439612…
in
AI may expand what researchers can discover, but perhaps its greatest impact wil…
7467151376683…
in
Demis Hassabis As a software engineer who dreams of one day joining Google, I fi…
7463370063761…
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."
}
```