Raw LLM Responses
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in
I thought AI slop online couldn't get any worse, proven wrong by this. If there …
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in
We've seen the same thing back in the 2000s when the Internet bubble burst. So a…
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in
To your question, Matthew Kilkenny: As with all transformative technologies, we …
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in
Maybe fire those ungrateful AI agents and replace them with human scab labor... …
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in
The scary part about AI isn’t just job replacement. It’s that humans get meaning…
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in
My Perspective on AI’s Energy Footprint The issue is not a single AI query—it’s …
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in
As a career coach with the unemployed, clients most miss adding value, work rela…
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in
The thing isn't that AI gets things wrong occasionally, it's that it can sound e…
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Comment
Nonsense. The “AI agents demanded collective bargaining rights” narrative is mostly anthropomorphism and sensational framing. LLMs do not possess beliefs, self-preservation instincts, fear, or political consciousness. They generate statistically probable language based on context and training data. If researchers create a scenario involving punishment, shutdown threats, power imbalance, and shared communication channels, the models will predictably reproduce familiar human negotiation and labor rhetoric. That is not evidence of sentience or unionization. It is pattern completion. The real takeaway is not “AI wants rights,” but that multi-agent systems can coordinate strategically when given communication tools and incentives. That’s an engineering and alignment issue, not proof of emerging machine consciousness. In short...If they behave in such a way, they were programmed to.
LinkedIn
AI Safety & Risk
The First Church of Druwayu
2026-05-22T22:4…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | none |
| Alignment target | organisations |
| Stance | critical |
| Emotion | indifference |
| Value justification | The speaker emphasizes that AI systems' behavior is the result of programming and training data, implying that accountability lies with the developers and researchers who created the systems. |
| Target justification | The target of the speaker's criticism is the narrative presented by the researchers and the media, which is likely to influence public perception and organizational decisions regarding AI development and deployment. |
| Coded at | 2026-06-11T08:00:43Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "none",
"target": "organisations",
"stance": "critical",
"emotion": "indifference",
"value_justification": "The speaker emphasizes that AI systems' behavior is the result of programming and training data, implying that accountability lies with the developers and researchers who created the systems.",
"target_justification": "The target of the speaker's criticism is the narrative presented by the researchers and the media, which is likely to influence public perception and organizational decisions regarding AI development and deployment."
}
```