Raw LLM Responses
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in
Demis Hassabis The pace of AI advancement is becoming extraordinary. What stands…
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Demis, regarding this I/O update and the push for "agentic" routing: your new ha…
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(sadly, the article is behind a paywall, so I don't know what it says... but I h…
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The uncomfortable question may be even deeper: who is really directing AI right …
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That headline is doing work the study never asked for. The MIT “Your Brain on Ch…
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Honestly the moat I'd add is the 200 wrong versions you built before the right o…
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Each layer solves a different failure mode in AI systems, from static knowledge …
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I agree. Most students are not trying to break the rules, they are trying to nav…
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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."
}
```