✅ New Article: *Governing Self-Modification*
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✅ New Article: *Governing Self-Modification*
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Title:
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Title:
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🧭 Governing Self-Modification - A Charter for the Pattern-Learning Bridge
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🧭 Governing Self-Modification - A Charter for the Pattern-Learning Bridge
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🔗 
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🔗 
https://huggingface.co/blog/kanaria007/governing-self-modification
https://huggingface.co/blog/kanaria007/governing-self-modification
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Summary:
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Summary:
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“Let the system patch itself” sounds futuristic. In practice, it’s pattern mining over incidents + patch proposals + gradual drift risk.
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“Let the system patch itself” sounds futuristic. In practice, it’s pattern mining over incidents + patch proposals + gradual drift risk.
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This draft is a *non-normative charter* for governing a Pattern-Learning Bridge (PLB): a subsystem that proposes (and sometimes applies) changes to policies, thresholds, and even code.
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This draft is a *non-normative charter* for governing a Pattern-Learning Bridge (PLB): a subsystem that proposes (and sometimes applies) changes to policies, thresholds, and even code.
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> If you’re going to let a system help rewrite itself,
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> If you’re going to let a system help rewrite itself,
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> this is the minimum structure you owe yourself.
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> this is the minimum structure you owe yourself.
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Why It Matters:
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Why It Matters:
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• Prevents *slow, invisible goal drift* from “many tiny good patches”
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• Prevents *slow, invisible goal drift* from “many tiny good patches”
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• Blocks *governance bypass* (no self-budget edits, no weakening core constraints)
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• Blocks *governance bypass* (no self-budget edits, no weakening core constraints)
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• Makes change *measurable* (meta-metrics like adoption rate, rollback rate, sandbox↔prod agreement)
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• Makes change *measurable* (meta-metrics like adoption rate, rollback rate, sandbox↔prod agreement)
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• Defines an *emergency stop* and “rollback the PLB window” capability
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• Defines an *emergency stop* and “rollback the PLB window” capability
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---
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What’s Inside:
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What’s Inside:
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• A practical threat model for self-modification (overfitting, drift, bypass, over-trust)
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• A practical threat model for self-modification (overfitting, drift, bypass, over-trust)
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• *Self-mod budgets*: scope × magnitude × rate, with zone ladders (auto-patch → human-gated → suggest-only)
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• *Self-mod budgets*: scope × magnitude × rate, with zone ladders (auto-patch → human-gated → suggest-only)
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• A full governance pipeline: sensing → mining → proposal → validation → decision → deploy → retrospective
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• A full governance pipeline: sensing → mining → proposal → validation → decision → deploy → retrospective
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• Non-negotiable *red lines* + adversarial patch detection patterns
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• Non-negotiable *red lines* + adversarial patch detection patterns
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• Adoption roadmap: advisor → low-risk auto-patch → co-pilot → multi-agent → constitutional diagnostic
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• Adoption roadmap: advisor → low-risk auto-patch → co-pilot → multi-agent → constitutional diagnostic
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---
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📖 Structured Intelligence Engineering Series
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📖 Structured Intelligence Engineering Series
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A governance note for the moment “learning” starts touching the system itself.
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A governance note for the moment “learning” starts touching the system itself.
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✅ New Article: *Governing Self-Modification*

Title:
🧭 Governing Self-Modification - A Charter for the Pattern-Learning Bridge
🔗 https://huggingface.co/blog/kanaria007/governing-self-modification

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Summary:
“Let the system patch itself” sounds futuristic. In practice, it’s pattern mining over incidents + patch proposals + gradual drift risk.

This draft is a *non-normative charter* for governing a Pattern-Learning Bridge (PLB): a subsystem that proposes (and sometimes applies) changes to policies, thresholds, and even code.

> If you’re going to let a system help rewrite itself,
> this is the minimum structure you owe yourself.

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Why It Matters:
• Prevents *slow, invisible goal drift* from “many tiny good patches”
• Blocks *governance bypass* (no self-budget edits, no weakening core constraints)
• Makes change *measurable* (meta-metrics like adoption rate, rollback rate, sandbox↔prod agreement)
• Defines an *emergency stop* and “rollback the PLB window” capability

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What’s Inside:
• A practical threat model for self-modification (overfitting, drift, bypass, over-trust)
• *Self-mod budgets*: scope × magnitude × rate, with zone ladders (auto-patch → human-gated → suggest-only)
• A full governance pipeline: sensing → mining → proposal → validation → decision → deploy → retrospective
• Non-negotiable *red lines* + adversarial patch detection patterns
• Adoption roadmap: advisor → low-risk auto-patch → co-pilot → multi-agent → constitutional diagnostic

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📖 Structured Intelligence Engineering Series
A governance note for the moment “learning” starts touching the system itself.

👀
John6666