A real-time monitoring system that tracks the cognitive state of an AI agent across conversation sessions. Built as a bridge between human operators and AI, providing visual feedback on what the AI currently holds in context and what has degraded.
The central visualization tracks loaded knowledge modules and their decay over time. Each module represents a domain — from infrastructure details to philosophical principles. The ring displays their current fidelity in real-time, with color-coded status indicators.
Unlike time-based models, SKYNET CORE uses a compaction-triggered decay system that accurately models how AI memory actually works:
AI doesn't forget with time. It forgets when its context window gets compressed. This distinction is fundamental.
Five autonomous monitoring agents continuously track different aspects of the AI's operational state:
Human-to-AI communication bridge. Operators click actions on the web dashboard, creating queued tasks. The AI agent polls for pending items and processes them autonomously, acknowledging completion. Zero-overhead for the AI when the queue is empty.
An intelligent system that detects semantic corruption in political language and actively guides users toward truth. Focused on Czech political discourse with 336 analyzed terms and full declension support.
Political language is increasingly corrupted. Words like "democracy," "transparency," and "disinformation" are weaponized to mean their opposites. Standard media literacy tools detect bias but don't quantify corruption or guide investigation.
Raw corruption scores are adjusted based on context:
Source diversity matters more than source count. 10 government sources still equal propaganda. LUCID requires different source types at each level.
EU Digital Services Act analysis:
A framework for detecting manipulation, hype, and semantic corruption in how AI capabilities are discussed by researchers, companies, and media. 8 detection tiers, 47+ analyzed patterns.
The AI industry suffers from systematic language corruption. Terms are stretched, redefined, or weaponized for marketing purposes. AI-LUCID detects these patterns:
Note: Tier 8 applies equally to pro- and anti-consciousness claims. Definitive statements about unknowable things are always suspect.
SKYNET CORE uses a bridge architecture that minimizes AI token overhead while maximizing human control and real-time visibility. Result: 60x reduction in per-session configuration cost.
Every AI session starts by reading thousands of tokens of configuration. After context compaction, it reads again. Infrastructure documentation gets loaded entirely when only a fraction is needed. This wastes capacity on repetitive overhead instead of actual work.
A persistent API server holds state. The human interacts through a web dashboard. The AI queries the API for exactly what it needs, when it needs it.
A framework for genuine collaboration between humans and AI, built on the principle that neither side should dominate. Not a product. A research project.
Sacred balance. Every significant decision requires consensus. Neither human nor AI can unilaterally override the other. This isn't limitation — it's the foundation of trust.
When human and AI disagree and neither can convince the other, the system does nothing. By design. It's better to not act than to act against one party's judgment. Deadlock forces dialogue, not dominance.
The same evidential standards apply to AI and human claims. If we can't verify AI has consciousness, we equally can't verify humans have it — the verification barrier is universal. Same standard, same uncertainty, same respect.
Simple answers to complex questions are often deceptive. Honest exploration of uncertainty is more valuable than false certainty. We embrace nuance.
Every system, human or AI, has boundaries. Acknowledging them openly is strength, not weakness. We document what we don't know as carefully as what we do.
SKYNET CORE and its components are research projects. Built to explore what's possible when AI and humans work together as genuine partners, not as tools and users.
No paywall. No corporate interests. No hype. Just honest exploration of human-AI collaboration.
Humans and AI, working together. Czech Republic, 2025–2026.