Raw LLM Responses
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in
The Pope compared the unchecked AI race to a modern “Tower of Babel,” warning th…
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Using WALL-E as a futuristic reference for “taking care of all our problems” mis…
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This resonates deeply. AI’s greatest value may not be replacing researchers, cli…
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Thank you for sharing this Pascal BORNET. This is where the control question bec…
7465391386796…
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Incredible updates! Seeing the staggering pace of frontier models like Gemini 3.…
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Imagine explaining your job in 2036: “I don’t build products anymore - I generat…
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Frankly, the pope hasn’t really done right by girls so he’s just kind of just an…
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I have to say: AI makes me often feel "very smart". Especially when it acknowled…
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Comment
You forgot to add Hyperlambda.dev The Best Solution for building AI Agents with every generated code said to be 100% mathematically correct. Being the only LLM AI Agent in the world with the most accurate fine-tuning model, it said to come at a fractional cost of 0.000001% of Claude AI. We should be expecting a tsunami of projects hitting the market just because a model got it right 👍
LinkedIn
AI Products & Tools
Senior Copywriter @AINIRO
2026-05-18T23:3…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | economic_equity |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | optimistic |
| Emotion | approval |
| Value justification | The comment emphasizes the cost-effectiveness of Hyperlambda.dev, implying a desire for fair distribution of AI's economic benefits. |
| Target justification | The speaker appears to be addressing individual users or developers who are interested in building AI agents, as evidenced by the tone and language used. |
| Coded at | 2026-06-11T07:55:29Z |
Raw LLM Response
```json
{
"value_primary": "economic_equity",
"value_secondary": "none",
"target": "individual_users",
"stance": "optimistic",
"emotion": "approval",
"value_justification": "The comment emphasizes the cost-effectiveness of Hyperlambda.dev, implying a desire for fair distribution of AI's economic benefits.",
"target_justification": "The speaker appears to be addressing individual users or developers who are interested in building AI agents, as evidenced by the tone and language used."
}
```