Raw LLM Responses
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Luís Rodrigues This is a universally relatable breakdown, Luís. My governance mi…
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The standardization value of MCP connecting disparate systems cannot be overstat…
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Wish Bakshi That’s the challenge with AI products right now, expectations are in…
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"This is the heart of AI – helping in real, human moments. The agentic era you m…
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@Pascal, the cardio-as-fuel framing is brilliant because it exposes how reductiv…
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Pascal BORNET The most important AI decisions today are about governance, owners…
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The agent-reasoning and agentic_rag implementations in this repo are standout fe…
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Demis Hassabis As a software engineer who dreams of one day joining Google, I fi…
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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."
}
```