Raw LLM Responses
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in
and nobody understands you because your communication is different and most neur…
7465381416080…
in
With new technology there will be good and not so good outcomes. Take for exampl…
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in
What is happening right now is historically unprecedented: Religious institution…
7465453158098…
in
Frankly, the pope hasn’t really done right by girls so he’s just kind of just an…
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in
Sabrina N. I don't think there is any one solution. I don't think bans and the u…
7465618166144…
in
I will say this. I can understand this analogy - for sure. It makes sense (as do…
7465108799117…
in
Human Centric frameworks that puts AI-Forward is a good balance. But orgs who pu…
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The cost is only going to get higher as well. As there is more of a can’t live w…
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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."
}
```