Raw LLM Responses
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in
What stands out is how quickly AI development is moving from narrow task perform…
7463516737792…
in
Interesting point. External oversight matters, but I think the next challenge is…
7464930869976…
in
Well AI is replacing humans for the context in it requires best architectural pr…
7466201019878…
in
Many people know how to make clever points, but not everyone has the opportunity…
7465177086198…
in
I believe they are just creating hypes for getting funding from the investors. E…
7469051676491…
in
Beautifully said. The point about slow reading feels essential. A document conce…
7464995772388…
in
We have to find alternative ways to ensure the use of AI is limited to copilotin…
7464350150082…
in
Dan Martell This is very underrated advice for AI tools almost nobody talks abou…
7464795085214…
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."
}
```