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in Well probably cause you are talking about ML and not training a LLM model which … 7468892442688… in This breakdown is excellent, Luís. What I see in real systems is that the “body”… 7464950955843… in Though the approach is great but if you follow the reviews, antigravity 2.0 is q… 7464089910627… in AI in research should feel like an AGI as removing the human from the loop might… 7466859369691… in The release of Magnifica Humanitas proves that the AI revolution has officially … 7466136344793… in Rand Strauss There is no alignment problem for LLM tech, so long as it makes mon… 7465676247977… in Always friendly answers, but not always what you need in the specific context. A… 7469441951348… in The scary part about AI isn’t just job replacement. It’s that humans get meaning… 7464779763283…

Comment

Demis Hassabis Regarding the safety of agentic systems and the deployment of CodeMender: While software-layer vulnerability detection is advancing rapidly, the foundational cryptographic assumptions securing these systems remain mathematically vulnerable to future quantum computation. To address the hardware and cryptographic layer, the Temporal Rotation Security Protocol (TRSP v3) and its digital infrastructure extension (TDC) were published today as Open Prior Art (DOI: 10.5281/zenodo.20332811). TRSP proposes shifting the security parameter from mathematical complexity to physical law. It utilizes local hardware entropy and orbital relativistic time dilation to generate ephemeral keys that are physically destroyed within a millisecond window. By casting time-irreversibility directly into silicon via destructive readout mechanisms, the architecture structurally eliminates the "Harvest-Now-Decrypt-Later" vector. As DeepMind builds the long-term infrastructure for AGI, I respectfully ask: would a physics-grounded, time-irreversible cryptographic anchor be a relevant addition to the hardware safety architecture of your agentic systems?

LinkedIn AI Safety & Risk All things are possible until they are proved i… 2026-05-21T22:0…

Coding Result

Dimension	Value
Primary value	safety
Secondary value	none
Alignment target	organisations
Stance	demanding
Emotion	approval
Value justification	The speaker emphasizes the importance of addressing mathematical vulnerabilities in cryptographic assumptions to ensure the safety of agentic systems.
Target justification	The speaker is directing their question to Demis Hassabis and DeepMind, indicating that the target of the value alignment is the organisation.
Coded at	2026-06-11T07:56:51Z

Raw LLM Response

```
{
  "value_primary": "safety",
  "value_secondary": "none",
  "target": "organisations",
  "stance": "demanding",
  "emotion": "approval",
  "value_justification": "The speaker emphasizes the importance of addressing mathematical vulnerabilities in cryptographic assumptions to ensure the safety of agentic systems.",
  "target_justification": "The speaker is directing their question to Demis Hassabis and DeepMind, indicating that the target of the value alignment is the organisation."
}
```

Raw LLM Responses