Raw LLM Responses
Inspect the exact model output for any coded comment.
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in
This is exactly what we're building at G-Connect. The shift from "writing code" …
7464358082370…
in
The real AI race is shifting from performance leadership to infrastructure indep…
7463513643134…
in
Mohammed Shakeer Mohammed Shakeer The prevailing theory is that AI generated pro…
7468781666589…
in
What strikes me is that we still talk about AI as if capability were the main va…
7465275718193…
in
I agree that we need to examine not only what AI can do, but what organizational…
7466125104671…
in
Use of computers is not without consequences, you literally speak to yourself on…
7463537700810…
in
The idea of AI preserving and documenting the reasoning paths behind discovery i…
7468658490601…
in
Exactly.AI is not just scaling intelligence — it is scaling power, decisions, an…
7465312920793…
Comment
Well said—declaring "RIP ChatGPT" misses the mark, like swapping out a screwdriver and calling carpentry dead. The real magic is how teams stitch together these AI models into cohesive, value-generating systems that actually do the work, not just talk about it. That’s exactly where platforms like shine. Instead of chasing the latest model hype, Chat Data lets you design robust workflows, link multiple agents, and automate complex processes across text, voice, and much more. It’s about building a reliable AI-powered machine shop, not just showing off shiny new tools.
LinkedIn
AI Research & Models
Building the coolest Enterprise-grade AI agent …
2026-06-01T01:4…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | beneficence |
| Secondary value | none |
| Alignment target | organisations |
| Stance | optimistic |
| Emotion | approval |
| Value justification | The comment emphasizes the importance of using AI to generate value and do actual work, which aligns with the value of beneficence, promoting human wellbeing and flourishing. |
| Target justification | The comment mentions teams and platforms, indicating that the target of AI alignment is organisations, which are expected to benefit from the value-generating systems. |
| Coded at | 2026-06-11T08:35:31Z |
Raw LLM Response
```
{
"value_primary": "beneficence",
"value_secondary": "none",
"target": "organisations",
"stance": "optimistic",
"emotion": "approval",
"value_justification": "The comment emphasizes the importance of using AI to generate value and do actual work, which aligns with the value of beneficence, promoting human wellbeing and flourishing.",
"target_justification": "The comment mentions teams and platforms, indicating that the target of AI alignment is organisations, which are expected to benefit from the value-generating systems."
}
```