Raw LLM Responses
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in
This "powerfull free tier" is just one prompt and wait 5-7days. How I know? Few …
7464010140208…
in
Exactly! Also like the Pope writes in his Enzyklika: it’s about humanity and AI.…
7465496051475…
in
Well probably cause you are talking about ML and not training a LLM model which …
7468892442688…
in
The real shift is not AI replacing humans. It is AI exposing how much of our wor…
7464002714071…
in
Pascaline Amuzu Isn't it sad that people need work to show up? Maybe this is a c…
7465660200553…
in
I find it rather ironic that, in the comments section, people who are willing to…
7463899542464…
in
The danger is not that AI suddenly becomes anti-human. The danger is colder than…
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in
"Though the AI-assisted test-takers had a higher solve rate than the control gro…
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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."
}
```