Raw LLM Responses
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"Foothills of the singularity" is a statement about relative position, not absol…
7464514189366…
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These new tools called "AI" will no doubt change human society very profoundly a…
7465347336014…
in
Great to see Anthropic taking a lead here and consulting sources of wisdom to gu…
7464779483259…
in
This "powerfull free tier" is just one prompt and wait 5-7days. How I know? Few …
7464010140208…
in
Insightful shift in perspective. It’s vital to prioritize ethical frameworks in …
7465006587196…
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What’s emerging here is less about search evolution and more about a shift in wh…
7463926552246…
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Incredible progress, especially on agentic systems. Building production GenAI pl…
7469818112024…
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AI seriously disrupts the business model of academia. For decades, many academic…
7464552896521…
Comment
Strong point on agents.Thank you, Demis. My conviction is that the next governance layer will not be another policy document; it will be verifiable execution: signed decision receipts, replayable evidence, suppression history, and contestability around consequential agent actions. We call this governed AI: no receipt, no governed decision. I would welcome a serious technical exchange with the teams thinking about agent safety at runtime.
LinkedIn
AI Safety & Risk
Founder & CTO, OptimaX Solutions LLC | Governed…
2026-05-21T20:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | transparency |
| Alignment target | organisations |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes the need for verifiable execution, signed decision receipts, and replayable evidence, which are all related to accountability and transparency in AI decision-making. |
| Target justification | The speaker mentions a 'serious technical exchange with the teams thinking about agent safety at runtime', indicating that the target of alignment is organisations, specifically the teams working on AI development. |
| Coded at | 2026-06-11T07:56:34Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "transparency",
"target": "organisations",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the need for verifiable execution, signed decision receipts, and replayable evidence, which are all related to accountability and transparency in AI decision-making.",
"target_justification": "The speaker mentions a 'serious technical exchange with the teams thinking about agent safety at runtime', indicating that the target of alignment is organisations, specifically the teams working on AI development."
}
```