Sampo AI OS (Junior V2) unites Bernard Baars' Global Workspace Theory with deterministic execution harnesses. Powering sovereign breakthroughs across real-time water intelligence, planetary macroeconomics, and in silico pharmacology.
Unlike stateless cloud wrappers or fragile prompt chains, Sampo AI OS implements genuine bio-digital metacognition.
Implements a computational interpretation of Bernard Baars’ Global Workspace Theory (GWT), coordinating specialized cognitive sub-agents (Planner → Analytical Thinker → Adversarial Critic → Motor Executor) through a centralized conscious workspace bus, ensuring single-focus execution and zero context decay.
Automated offline alignment based on the Bradley-Terry preference framework and Direct Preference Optimization (DPO). Junior logs execution friction to an immutable audit diary; the automated DPO Harvester Daemon dynamically constructs calibrated preference pairs to systematically eliminate recurring reasoning failures.
Grounded in Endel Tulving’s cognitive memory taxonomy and hippocampal consolidation models. Unifies volatile Working Memory (STM with exponential half-life decay), chronological Episodic LTM, and an associative Neocortical Knowledge Graph (10,480+ nodes) with sleep-cycle synaptic pruning.
Independent research platforms and domain engines architected and accelerated via Junior's cognitive reasoning pipeline.
Autonomous multi-hazard water intelligence and infrastructure decision-support platform engineered for river catchments and global water security. Deploys a unified reinforcement-learning engine (PPO, 503k steps) to concurrently manage flood surges (48–168h lead time), drought stress (FAO-56 Penman–Monteith), and ecological water quality (WFD standards)—coupling real-time UK EA & FMI sensor fusion with autonomous 5-D sluice/pump control, ethical governance audit trails, and global geopolitical water threat tracking (GDACS/UNEP). Empirically validated on the River Cam catchment (UK) and international hydrometeorological gauge networks.
Planetary-scale macroeconomic decision engine for national climate policy and investment stress-testing. Evaluates 153 national economies by unifying physical carbon budget limits (FaIR v2.2.4) with multi-sector CGE macroeconomic simulation—empowering governments, central banks, and global funds to de-risk net-zero transitions, energy mandates, and fiscal trade balances.
Autonomous in silico systems pharmacology and combinatorial drug discovery engine that de-risks preclinical R&D by 80%. Replaces 10–15 year wet-lab trial-and-error by mathematically identifying patentable super-additive therapeutic synergies (CI < 0.70), predicting free blood-brain barrier penetration, and optimizing targeted multi-carrier delivery vectors under US FDA MIDD and ASME V&V 40 regulatory standards.
Sovereign, air-gapped AI operating system engineered for enterprise intellectual property protection and autonomous R&D. Eliminates cloud data leaks, vendor lock-in, and recurring API token costs by running local foundational models with deterministic AST security harnesses, offline DPO preference learning, and guaranteed zero external telemetry.
Production-grade modular architectures, smart contract nodes, and autonomous risk tools engineered for specialized enterprise deployments — featured in Season 1 developer deep dives on The Sampo Protocol YouTube Channel ↗.
How Junior enforces mathematical precision, security sandboxing, and zero state corruption.
Harri Lanzett is a Principal AI Systems Architect and Local-First Multi-Agent Systems Builder who transforms complex frontier ideas into operational, verifiable, and sovereign architectures. He bridges cognitive agent orchestration, deterministic execution harnesses, sovereign local-first AI infrastructure, and research-grade deep-tech product engineering.