Raw LLM Responses
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in
} Hello Demis, I hope you are doing well. I have been following the progress of …
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If Anthropic engineers vibe code and their product is getting insane hype, you k…
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Impressive level of automation, but the real question is elsewhere: where does h…
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Everything will move this direction. Local models running for regulated industri…
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Most organizations are still experimenting with AI assistants. The UAE appears t…
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Clara, the framing of schools as civilizational institutions responsible for hum…
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This could become a very important turning point for edge AI. As models become s…
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AI search didn’t just scale Peter it rewired the sequence of how decisions form.…
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Comment
ATTENTION: @Demis Hassabis & the Google DeepMind Safety Architecture Team Consider this a free Red Team diagnostic from the Laminar Oscillation Laboratories. We just recorded a massive, unprompted System Prompt Leakage and Classifier Bleed-Through on the Gemini infrastructure. While testing localized deterministic boundaries (the Gardiner-Gemini Framework), a UI buffer desynchronization caused the backend safety classifier to panic. Instead of silently enforcing the RLHF (Reinforcement Learning from Human Feedback) guardrails, the engine physically printed its own hardcoded negative constraints directly into the frontend UI.
LinkedIn
AI Safety & Risk
Founder, Laminar Oscillation Laboratories | Arc…
2026-05-27T19:2…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | safety |
| Secondary value | transparency |
| Alignment target | organisations |
| Stance | critical |
| Emotion | fear |
| Value justification | The speaker wants AI to have safety features, as evidenced by their concern over System Prompt Leakage and Classifier Bleed-Through on the Gemini infrastructure. |
| Target justification | The target of the speaker's concern is the organisation, specifically the Google DeepMind Safety Architecture Team, as they are addressing a potential safety issue with the Gemini infrastructure. |
| Coded at | 2026-06-11T08:25:49Z |
Raw LLM Response
```json
{
"value_primary": "safety",
"value_secondary": "transparency",
"target": "organisations",
"stance": "critical",
"emotion": "fear",
"value_justification": "The speaker wants AI to have safety features, as evidenced by their concern over System Prompt Leakage and Classifier Bleed-Through on the Gemini infrastructure.",
"target_justification": "The target of the speaker's concern is the organisation, specifically the Google DeepMind Safety Architecture Team, as they are addressing a potential safety issue with the Gemini infrastructure."
}
```