Raw LLM Responses
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in
The strongest part here is the sequencing from context → personalization → integ…
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in
Sure, and when I use it to have sophisticated language discussions and to reflec…
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in
The deeper shift here is the move from models that respond to prompts to systems…
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in
What is happening right now is historically unprecedented: Religious institution…
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in
We'd better begin ramping up our human capital in the west. My decades-long plan…
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Robert Studholme in my cloister/starship class I do exactly that after forcing t…
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The second people stop anthropomorphizing the technology and start holding the h…
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These new tools called "AI" will no doubt change human society very profoundly a…
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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."
}
```