Raw LLM Responses
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in
Here is Anthropic’s response... Claims to be skeptical of: “8x more code per qua…
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Evan Hunter Evan the nuclear analogy lands hard because it's exact. We didn't le…
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ATTENTION: @Demis Hassabis & the Google DeepMind Safety Architecture Team Consid…
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This shift toward autonomous AI government operations is a monumental leap that …
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So true. People never wunder why they are pushing Ai. It's not for the greater g…
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"Aligned to whose values" is the question the field has been avoiding precisely …
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Rand Strauss There is no alignment problem for LLM tech, so long as it makes mon…
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What’s emerging here is less about search evolution and more about a shift in wh…
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Comment
This is such an important reality check especially when studies are already showing AI is economically viable in only a fraction of roles despite the massive hype around replacing humans. I think a lot of companies underestimated that scaling AI also means scaling infrastructure, oversight, context management and decision accountability.
LinkedIn
Workplace & Jobs
Content & Brand Strategist | Making Innovation …
2026-05-28T09:3…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | economic_equity |
| Secondary value | accountability |
| Alignment target | organisations |
| Stance | critical |
| Emotion | approval |
| Value justification | The speaker emphasizes the economic viability of AI in only a fraction of roles, highlighting the need for a reality check on its cost-effectiveness. |
| Target justification | The speaker is addressing companies, such as Microsoft, Uber, and NVIDIA, that have invested heavily in AI, indicating that the target is organisations. |
| Coded at | 2026-06-11T08:27:11Z |
Raw LLM Response
```
{
"value_primary": "economic_equity",
"value_secondary": "accountability",
"target": "organisations",
"stance": "critical",
"emotion": "approval",
"value_justification": "The speaker emphasizes the economic viability of AI in only a fraction of roles, highlighting the need for a reality check on its cost-effectiveness.",
"target_justification": "The speaker is addressing companies, such as Microsoft, Uber, and NVIDIA, that have invested heavily in AI, indicating that the target is organisations."
}
```