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Educational materials, tutorials, and lecture notes on statistics, machine learning, and AI, plus conference talks and presentations. This includes fundamentals of AR, MR, and VR development (Machine Learning for data science, VR Fundamentals & WebXR Development, 3D Interaction Design, Performance Optimization), as well as research-based teaching on GenAI applications in Virtual Reality, eye tracking and bio sensors in immersive systems, and digital sovereignty and privacy-preserving technologies.
How an autonomous AI agent discovered 21 previously unknown vulnerabilities in FFmpeg — the media library inside almost everything that plays video. Technical analysis of AI-powered vulnerability discovery, how it differs from fuzzing and SAST, and implications for open-source security.
Deep-dive into Claude Fable 5 and Claude Mythos 5: Mythos-class architecture, safety classifier design, benchmark analysis vs Opus 4.8 / GPT-5.5 / Gemini 3.1 Pro, the export-control suspension, pricing at $10/$50 per million tokens, and practical adoption guidance.
Comprehensive technical analysis of the Miasma (Shai-Hulud) self-replicating supply-chain worm: Phantom Gyp binding.gyp execution, AI coding agent persistence hooks, 73 Microsoft repositories compromised, 448+ artifacts across npm/PyPI, credential harvesting scope, and defensive countermeasures.
GitHub announced upcoming breaking changes for npm v12. Practical migration guide covering workspace protocol changes, peer dependency resolution updates, config deprecations, and impact on CI pipelines.
How to trace, evaluate, and monitor LLM applications in production — from prompt versioning and eval suites to cost tracking and drift detection.
Runtime monitoring and instrumentation for LLM applications — OpenTelemetry GenAI semantic conventions, streaming metrics, LLM gateway patterns, multi-tenant cost control, and production debugging.
A practical guide to backup strategies, DR planning, and recovery validation for small-to-medium self-hosted environments — because digital sovereignty includes recoverability.
Production patterns for edge computing with k3s — multi-cluster management, offline-first deployments, GitOps, and observability at scale.
Comprehensive DR testing and edge-specific patterns for k3s — failover validation, scheduled snapshots, multi-cluster recovery, and RPO/RTO planning.
Production hardening for k3s deployments covering upgrade strategies (yum/apt, blue-green, system-upgrade-controller), backup and restore (SQLite vs etcd), disaster recovery planning, and known issues at scale.
A deep technical comparison of NetworkPolicy enforcement between eBPF-based CNIs (Cilium) and iptables-based CNIs (Calico). Covers implementation internals, real performance benchmarks at scale, L7 policy trade-offs, migration strategies, and production debugging patterns.
Practical patterns for integrating LLMs, VLMs, and neural networks with immersive XR environments — from spatial AI assistants to real-time scene understanding.
Optimizing AI inference for XR devices — model quantization, NPU acceleration, hierarchical serving, bandwidth optimization for real-time 60fps rendering.
A comprehensive comparison of k3s distributions (official, k3sup, k3d, AutoK3s) and CNI plugins (Flannel, Calico, Cilium, Canal) covering NetworkPolicy support, performance benchmarks, ingress, storage, and production deployment considerations.
A deep dive into the networking architecture of OSISM-managed SCS cloud deployments — covering network separation, Virtual IPs (VIPs), Keepalived, HAProxy, and multi-node connectivity for production-ready sovereign cloud infrastructure.
A practical guide to choosing the right 3D printing filament for mechanical parts, outdoor use, food contact, and high-temperature environments.
WebGPU hit Baseline, Safari finally shipped WebXR, AI-assisted XR development landed from Meta and Google, and adoption surged 40%. A no-hype look at the immersive web ecosystem in mid-2026.
Analyzing 63,844 L-functions reveals a sharp split in their zero spacing statistics: CM forms follow GUE (Montgomery-Odlyzko), non-CM forms are near-Poisson. The aggregate intermediate value is a mixing artifact.
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