Raw LLM Responses
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Demis Hassabis Regarding the safety of agentic systems and the deployment of Cod…
7463348975744…
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GALAXAI Solutions Accelerate your transition to an AI-native department without …
7464971626984…
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Incredible progress, especially on agentic systems. Building production GenAI pl…
7469818112024…
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The Dissonance of Google I/O 2026: Backend Triumphs vs. Frontend Regressions To …
7466118654498…
in
The control problem is the part that keeps getting underweighted in these conver…
7468697880745…
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Anthropic engineers shipping 8x more code proves that software development is sh…
7468667584205…
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Nice automation. How do you prevent losing your authenticity and credibility wit…
7447163842377…
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I think everyone is missing the picture and really over complicating things. In …
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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."
}
```