Raw LLM Responses
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in
The vending machine framing is the right diagnosis. The failure mode isn't the f…
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in
Demis Hassabis Regarding the safety of agentic systems and the deployment of Cod…
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in
AI isn’t the threat. The people who own it are. The tech isn’t deciding anything…
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in
Dr. Dean Fido CPsychol AI review is a large amount of work, often outside person…
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The structural shift you describe at societal level is already playing out insid…
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I was devastated to know my interactions with your staff were less than satisfac…
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in
Many people know how to make clever points, but not everyone has the opportunity…
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Which is why it should only be a tool, and not a sole source of reliance. AI, wh…
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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."
}
```