Raw LLM Responses
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in
AI value increasingly depends on how seamlessly capabilities connect across the …
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Posted over two years ago lets hope the EU AI ACT has imbedded the values of Pop…
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This resonates beyond pure research. In finance and compliance, AI is beginning …
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Excellent post pro From a security perspective: LLM: Protect against prompt inje…
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srsly...the Emperor's church as the moral high ground 🤣 ...the image implies the…
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Pascaline Amuzu Isn't it sad that people need work to show up? Maybe this is a c…
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AI is always 1 step ahead... may not be in the right direction though…
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Mohammed Shakeer Mohammed Shakeer The prevailing theory is that AI generated pro…
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Comment
What’s striking in this wave of progress isn’t just the acceleration of capability, but the growing need to keep an agent’s epistemic boundary visible as systems become more autonomous. Multimodal understanding, persistent agents, and scientific tooling expand what AI can do but they also expand the space where verification becomes harder. Embedding traceability, provenance, and structured oversight directly into the architecture is what ensures these systems scale responsibly. That’s ultimately what will shape how we approach AGI, not just raw performance gains.
LinkedIn
AI Safety & Risk
AI Engineer | LLM-Based Analysis & Verification…
2026-05-22T05:3…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | transparency |
| Secondary value | accountability |
| Alignment target | humanity |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes the need for traceability, provenance, and structured oversight in AI systems, which is a key aspect of transparency. |
| Target justification | The speaker discusses the impact of AI on a broad scale, mentioning the approach to AGI, which suggests a focus on the well-being of humanity as a whole. |
| Coded at | 2026-06-11T07:57:53Z |
Raw LLM Response
```
{
"value_primary": "transparency",
"value_secondary": "accountability",
"target": "humanity",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the need for traceability, provenance, and structured oversight in AI systems, which is a key aspect of transparency.",
"target_justification": "The speaker discusses the impact of AI on a broad scale, mentioning the approach to AGI, which suggests a focus on the well-being of humanity as a whole."
}
```