Raw LLM Responses
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in
All the more reason to run your own AI, privately.⠀ Datacenters (plantations) ar…
7463616969431…
in
Incredible milestones at I/O, Demis. The speed of Gemini 3.5 Flash and Omni open…
7463512819301…
in
Thank you for writing this so honestly, Paolo. The 'raised the floor' line is th…
7464262548213…
in
Clara Hawking- " But more importantly, it frames schools not merely as places of…
7465015260937…
in
A lot of people are focused on which AI model is winning. The bigger opportunity…
7466510507273…
in
The adoption of SynthID by OpenAI and others is a quietly significant announceme…
7463572021919…
in
The implications of this are far bigger than most people realize. If this works …
7464888623411…
in
While there's some general wisdom in Pope Leo's AI encyclical, it also completel…
7465977541863…
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."
}
```