Raw LLM Responses
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in
“It’s truly remarkable to witness the accelerating pace of AI development, as De…
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in
Big vision, big claims—and it really highlights how fast “multimodal + agentic A…
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in
These new tools called "AI" will no doubt change human society very profoundly a…
7465347336014…
in
The key issue may not be only how capable AI systems become, but how clearly the…
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in
Safety of agentic systems starts with visibility. Most deployment failures don’t…
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in
The adoption of SynthID by OpenAI and others is a quietly significant announceme…
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in
Honestly, going from "AI will automate the boring stuff" to "doing cardio to kee…
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in
I thought AI slop online couldn't get any worse, proven wrong by this. If there …
7463953015138…
Comment
The control problem is the part that keeps getting underweighted in these conversations. The capability curve is well documented. The governance curve is not keeping pace and that gap is where the real risk lives. One of the core arguments I make in The Executive's AI Playbook is that business leaders cannot afford to outsource their understanding of what AI systems are actually doing inside their organizations. The recursive improvement scenario makes that argument more urgent, not less. You cannot govern what you do not understand and most executives still do not understand what they have already deployed.
LinkedIn
AI Safety & Risk
Founder & CRO @ Spartera | Founder @ Orion AI |…
2026-06-05T16:1…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | transparency |
| Alignment target | organisations |
| Stance | critical |
| Emotion | fear |
| Value justification | The speaker emphasizes the need for business leaders to understand what AI systems are doing inside their organizations, implying a desire for accountability in AI governance. |
| Target justification | The speaker is addressing business leaders and organisations, highlighting the importance of internal understanding and governance of AI systems. |
| Coded at | 2026-06-11T08:38:45Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "transparency",
"target": "organisations",
"stance": "critical",
"emotion": "fear",
"value_justification": "The speaker emphasizes the need for business leaders to understand what AI systems are doing inside their organizations, implying a desire for accountability in AI governance.",
"target_justification": "The speaker is addressing business leaders and organisations, highlighting the importance of internal understanding and governance of AI systems."
}
```