Did It Start Yet?

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Agentic AI Pipeline A swarm of autonomous micro-agents continuously monitors thousands of open-source intelligence feeds. Each agent specialises in a single domain — troop movements, diplomatic cables, social media spikes — and reports to an orchestrator agent that synthesises signals into a unified conflict-onset probability score, updated every 90 seconds.

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Real-Time Neural Inference A fine-tuned large language model runs continuous inference over live news streams in 47 languages. Using retrieval-augmented generation (RAG) grounded on a curated geopolitical knowledge base, it detects escalation language patterns, ceasefire violations, and mobilisation rhetoric with sub-second latency on dedicated edge TPUs.

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Computer Vision & Satellite Telemetry Multimodal vision transformers analyse near-real-time satellite and drone imagery for convoy formation, artillery positioning, and airfield activity. Change-detection diffusion models flag anomalies against historical baselines, feeding confidence scores directly into the master inference graph.

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Reinforcement Learning from Global Feedback The system self-improves through online reinforcement learning. Every confirmed escalation or de-escalation event is used as a reward signal to retrain the ensemble in production — no cold redeployments, no stale checkpoints. The model that runs tonight is smarter than the one that ran this morning.

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Multi-Source Sensor Fusion Signals from radio-frequency interceptors, seismic sensors, financial market volatility indices, and dark-web chatter are fused through a Kalman-filter-inspired neural state estimator. Conflicting signals are resolved by a dedicated adversarial reasoning agent trained to spot disinformation and spoofed data.

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Edge-Deployed Micro-Agent Mesh Hundreds of lightweight quantised micro-agents run directly on-device across a distributed mesh network, enabling inference even under degraded connectivity. Agents gossip-sync their local posteriors every 30 seconds, ensuring the global consensus reflects ground truth with minimal centralised bottleneck.