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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."
}
```

Raw LLM Responses