Raw LLM Responses
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in
The 'who benefits' framing exposes the governance gap. I see companies rushing t…
7464905715086…
in
Some needed context on both sides of the equation. We've recently added four sof…
7466170313010…
in
I agree. Most students are not trying to break the rules, they are trying to nav…
7466111267821…
in
While there's some general wisdom in Pope Leo's AI encyclical, it also completel…
7465977541863…
in
This breakdown is excellent, Luís. What I see in real systems is that the “body”…
7464950955843…
in
The danger is that this will create a small club of people who “know what’s best…
7464870150492…
in
Shipping 8x more code is just faster interpolation, not true recursive self-impr…
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in
The strongest part here is the sequencing from context → personalization → integ…
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Comment
Alvin Foo yes I also believe the future is agentic, but right now it is unsustainable. Compute costs are really high, and this is more a structural problem. Having 93+ agents running in parallel without a concern of how many tokens they are going to use is not an efficient approach at all. Ang Google really messed things up forcing its developer community to use antigravity 2.0, without any previous notice and developers just need the tools to build their agentic workflows, not a final product with a huge ticket price.
LinkedIn
AI Research & Models
Mechanical engineer building Python automations…
2026-05-24T14:5…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | sustainability |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | critical |
| Emotion | outrage |
| Value justification | The speaker expresses concern about the high compute costs and inefficient approach of running multiple agents in parallel, indicating a desire for sustainable AI practices. |
| Target justification | The speaker appears to be advocating for the needs and concerns of individual developers, who are being forced to adapt to new tools and workflows without sufficient support or consideration. |
| Coded at | 2026-06-11T08:04:32Z |
Raw LLM Response
```
{
"value_primary": "sustainability",
"value_secondary": "none",
"target": "individual_users",
"stance": "critical",
"emotion": "outrage",
"value_justification": "The speaker expresses concern about the high compute costs and inefficient approach of running multiple agents in parallel, indicating a desire for sustainable AI practices.",
"target_justification": "The speaker appears to be advocating for the needs and concerns of individual developers, who are being forced to adapt to new tools and workflows without sufficient support or consideration."
}
```