Raw LLM Responses
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in
Shipping 8x more code is just faster interpolation, not true recursive self-impr…
7468747076127…
in
Interesting perspective. What we're seeing is not the end of ChatGPT, but the sh…
7466961293816…
in
"Kudos to those capable of working on complexity at such extraordinary speed." -…
7464978178743…
in
Very relevant. The easiest thing to copy today: UI + feature layer. The hardest …
7464491317298…
in
This really resonates with something I’ve been thinking about for a long time: A…
7465821635913…
in
ATTENTION: @Demis Hassabis & the Google DeepMind Safety Architecture Team Consid…
7465483074831…
in
Everything will move this direction. Local models running for regulated industri…
7463262928163…
in
The deeper challenge may be that concepts such as dignity, truth, justice, and p…
7464999926620…
Comment
"Though the AI-assisted test-takers had a higher solve rate than the control group for most of the experiment" - that's what a technology is for isn't it? If it can't solve it you fall back on yourself!
LinkedIn
General AI Discourse
Store assistant, Researcher, Investor, Website …
2026-05-24T20:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | beneficence |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | optimistic |
| Emotion | approval |
| Value justification | The speaker implies that AI should be used to enhance human capabilities and solve problems, which aligns with the value of beneficence. |
| Target justification | The speaker seems to be focusing on the individual user's experience and benefit from using AI, as evidenced by their statement about falling back on oneself when the technology can't solve a problem. |
| Coded at | 2026-06-11T08:04:59Z |
Raw LLM Response
```
{
"value_primary": "beneficence",
"value_secondary": "none",
"target": "individual_users",
"stance": "optimistic",
"emotion": "approval",
"value_justification": "The speaker implies that AI should be used to enhance human capabilities and solve problems, which aligns with the value of beneficence.",
"target_justification": "The speaker seems to be focusing on the individual user's experience and benefit from using AI, as evidenced by their statement about falling back on oneself when the technology can't solve a problem."
}
```