Raw LLM Responses
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in
What strikes me is that we still talk about AI as if capability were the main va…
7465275718193…
in
Users who are vulnerable, who are forming genuine relationships with AI, who are…
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in
One aspect that stood out to me was the distinction between governance as a chec…
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in
"Though the AI-assisted test-takers had a higher solve rate than the control gro…
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in
Impressive level of automation, but the real question is elsewhere: where does h…
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in
The release of Magnifica Humanitas proves that the AI revolution has officially …
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in
AI opens a new space for human exploration. By reducing cognitive friction, it c…
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The SynthID expansion is the most underrated announcement here. Watermarking sol…
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Comment
Prashant K. Sahni Honestly one of the sharper takes in this thread. AI did not create the inefficiency, it just made it visible and gave companies a cleaner narrative to act on it.
LinkedIn
Workplace & Jobs
CEO @ Appinventiv | Entrepreneur | Building AI-…
2026-05-26T12:0…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | transparency |
| Secondary value | none |
| Alignment target | organisations |
| Stance | optimistic |
| Emotion | approval |
| Value justification | The speaker values transparency because they believe AI made inefficiencies visible, giving companies a clearer narrative to act on. |
| Target justification | The target is organisations because the speaker is discussing how companies like Microsoft, Uber, and NVIDIA are affected by AI and its costs. |
| Coded at | 2026-06-11T08:16:02Z |
Raw LLM Response
```json
{
"value_primary": "transparency",
"value_secondary": "none",
"target": "organisations",
"stance": "optimistic",
"emotion": "approval",
"value_justification": "The speaker values transparency because they believe AI made inefficiencies visible, giving companies a clearer narrative to act on.",
"target_justification": "The target is organisations because the speaker is discussing how companies like Microsoft, Uber, and NVIDIA are affected by AI and its costs."
}
```