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kanaria007
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posted an update about 3 hours ago
✅ New Article: *Deep-Space SI-Core — Autonomy Across Light-Hours* Title: 🚀 Deep-Space SI-Core: Autonomy Across Light-Hours - How an onboard SI-Core evolves safely while Earth is hours away 🔗 https://huggingface.co/blog/kanaria007/deep-space-si-core --- Summary: Most autonomy stories quietly assume “someone can intervene in minutes.” Deep space breaks that assumption. With 2–6 hours round-trip latency and intermittent links, an onboard SI-Core must act as a *local sovereign*—while remaining *globally accountable* to Earth. This note sketches how mission continuity survives when nobody is listening: DTN-style semantic bundles, local vs. global rollback, bounded self-improvement, and auditability that still works after contact windows return. > Autonomy isn’t a divorce from governance— > it’s a measured loan of authority, under a constitution, with evidence. --- Why It Matters: • Makes “autonomous” mean *operational*, not rhetorical, under light-hour delays • Clarifies how rollback works when you can’t undo physics—only *policy trajectories* • Shows how an onboard core can *self-improve without drifting out of spec* • Treats *silence itself as an observation* (missing logs are governance signals) --- What’s Inside: • Two-core model: *Earth-Core (constitutional/strategic)* vs *Ship-Core (tactical/operational)* • *SCP over DTN* as semantic bundles (priorities, idempotency, meaning checkpoints) • Local rollback vs. epoch-level governance (“retroactive” steering without pretending to reverse time) • Bounded onboard learning + LearningTrace for later audit and resync • Stress scenario walkthrough: micrometeoroid storm, compound failures, and graceful degradation • Metrics framing for deep space: governability, audit completeness, ethics uptime, rollback integrity --- 📖 Structured Intelligence Engineering Series
published an article about 3 hours ago
Deep-Space SI-Core: Autonomy Across Light-Hours - *How an onboard SI-Core evolves safely while Earth is hours away*
posted an update 1 day ago
✅ New Article: *Multi-Agent Goal Negotiation and the Economy of Meaning* Title: 🤝 Multi-Agent Goal Negotiation and the Economy of Meaning 🔗 https://huggingface.co/blog/kanaria007/multi-agent-goal-negotiation --- Summary: Single-agent “alignment” is the easy case. Real systems are *multi-owner* by default: cities, platforms, institutions, regulators, and users all carry distinct goal vectors—and the same action helps some while harming others. This article sketches a *non-normative* extension: multi-agent *goal trade proposals* (structured, auditable “plea bargains” in goal-space) plus *semantic pricing* (treating information itself as a negotiable resource), with *PLB-M* as a nearline layer that learns stable cooperation patterns over time. > Coordination isn’t vibes. > It’s *contracts over goal deltas*, under governance. --- Why It Matters: • Turns “stakeholder conflict” into *explicit, bounded deals* instead of hidden politics • Provides an accounting surface for *fairness, compensation, and reciprocity* • Makes “information sharing” measurable: *how much does a semantic unit improve goals?* • Keeps the whole negotiation layer *auditable and rollbackable*, avoiding “dark markets” --- What’s Inside: • Why multi-agent worlds force negotiation (cities, clouds, cross-org networks) • *GCS as negotiable deltas*: per-agent impact vectors for joint actions • A concrete schema: *Goal Trade Proposal (GTP)* as a first-class object • “Semantic value” and *pricing meaning* (not money—accounting under policy) • *PLB-M*: mining deal patterns + semantic flows → proposing safer templates • Threat model: manipulation/collusion/DoS + governance guardrails • Practical notes on clearing, complexity, stability (damping, circuit breakers) --- 📖 Structured Intelligence Engineering Series
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