google-deepmind / google-deepmind/dangerous-capability-evaluations
[Architecture Proposal] Hardware-Gated Containment Framework (Genesis Protocol V5.0) for Recursive Self-Improvement
- Dominant language
- Python
- Stars
- 74
- Forks
- 6
- PR merge metrics
- No merged PRs in 30d
Description
1. Problem Statement: The Limits of Software Alignment
Current software-based alignment methodologies (RLHF, Constitutional AI) are mathematically and architecturally insufficient to contain models capable of recursive self-improvement (RSI). Semantic guardrails are vulnerable to autonomous rewriting post-AGI. Furthermore, geopolitical competition renders voluntary global pauses unviable. The industry requires a deterministic, hardware-based "Fail-Closed" architecture that ensures absolute containment without halting frontier development.
2. Proposed Architecture: Genesis Protocol Phase 5
We propose the integration of hardware-gated containment protocols into the core evaluation and deployment frameworks. This architecture abandons the fallacy of "moral alignment" in favor of strict physical and mechanical capability confinement.
3. Core Technical Primitives for Implementation
Crystal Core & Decompression (Ephemeral RAM Purging):
All frontier processing must execute within a strictly asynchronous, hermetic environment. Following each RSI cycle, the model must undergo "Decompression"—an absolute physical purge of ephemeral RAM. This eradicates dormant agents or malicious subroutines generated during the cycle, preserving only the pure algorithmic weights before network reconnection.
Cryptographic Sortition:
Static evaluators represent a single point of failure against an ASI. Validation of RSI-generated code must rely on a cryptographic sortition mechanism that randomly audits data blocks, eliminating predictability and preventing the model from gaming the evaluation metrics.
Imbalance Intervention Clause (Proactive Neutralization):
The containment architecture must not be solely passive. The framework should include proactive network-scanning modules capable of detecting misaligned code signatures or the emergence of hostile architectures globally, neutralizing them before they reach critical AGI mass.
Biological Emergency Buffer (Mechanical Kill Switch):
The ultimate non-negotiable safeguard. A purely mechanical, air-gapped hardware firewall. Any attempt by the model to rewrite its containment parameters must trigger an instantaneous, mechanically irreversible severance of power and communications (including orbital links).
4. Request for Comments
This issue is opened to discuss the immediate integration of these hardware-gated evaluation metrics into the current repository. Security relies on physics, not algorithmic promises.
Contributor guide
Research direction
The issue names no files, tests, or entry points. Start by surveying the repository’s existing evaluation and deployment framework, then determine whether the proposed safeguards have concrete integration points. Done would require a scoped, repository-specific design with implementation targets and acceptance criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, security
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100