PublishLens Article Library
Explore source-grounded articles across engineering, applied AI, science, business, and policy, with practical context and clear topic desks for every reader.
Apple MLX for AI Model Local Deployment: Unified Memory Explained
A practical guide to MLX, unified memory, and the difference between model capacity and inference performance.
AI in Cybersecurity: Why Context-Driven Risk Scoring Is the Only Way Forward
Sorting vulnerabilities by CVSS alone is a spreadsheet sort, not a strategy. Learn how artificial intelligence and cybersecurity intersect through context-driven risk scoring—EPSS, attack path analysis, and environmental context that turns 59,000 CVEs into an actionable queue.
Remote Work Is Now an Endpoint Problem: AI Driven Endpoint Security Trends for Distributed Teams
Remote breaches cost more and take longer to catch, and the attack surface now lives on personal endpoints, identities, and browser sessions. A grounded look at the 2026 numbers and why the defense is shifting to the device edge.
Four Operations, Seventeen Countries, One Messaging Network: The Confluencia Takedown
INTERPOL coordinated four parallel operations across Latin America and Europe between March and September 2026, netting 95 arrests and exposing how messaging apps and crypto turned child abuse material into a commercial pipeline.
AI Security Infrastructure and the Human Ceiling in Autonomous Pentesting
Autonomous agents now match senior testers on benchmark web challenges and run at machine speed. But risk scoring, business context, and creative chaining still need a human. Here is where the line actually sits.
The Context Ladder, Laid Bare: A Cross-Model Look at AI Model Local Deployment on Apple Silicon
A cross-model read of the October 2026 mlx-serve context-ladder leaderboard on an M4 Max box — prefill and decode indices, where models degrade past 8k, and what the numbers actually tell you before you deploy anything locally.
AI Edge Infrastructure, One Tiny Model at a Time: MiniCPM-1B's Speed and Its Quality Floor
What a 1B model running locally via mlx-serve tells you about AI edge infrastructure: it tops throughput and latency, sits last on quality, and its only genuinely good task class is tool use.
When a cybersecurity data breach turns physical: ransomware gangs target employees and their families
Semperis' 2026 Ransomware Risk Report finds attackers increasingly threaten psychological and physical harm against staff, friends and family to force payment. What the survey data shows, what it does not, and how organizations can protect people alongside systems.
A Mixed-Precision LFM2.5 Pack Edges the Stock 4-Bit Model—With Important Caveats
A comprehensive analysis comparing the stock LiquidAI 4-bit model pack against a custom mixed-precision MLX build, covering benchmark results, deployment strategies, and agentic AI integration.
When ‘Plain’ Wins: Model Trade-offs Across AI Model Local Deployment Benchmarks
Expanded article analyzing cross-model plain vs best cell comparisons for local LLM deployment with complete setup, data table, explanations, and disclaimer.
AI Model Local Deployment on Apple Silicon: October 2026 Cohort Leaderboard Across Six Models
A per-dimension leaderboard (quality, repeatability, throughput, latency, context) for six models served locally with mlx-serve on an M4 Max, covering Flash Next, Qwen3.8 27B, Muse Glimmer 30B, MiniCPM-V 4.7 35B-A3B and 1B, and LFM2.5-24B-A2B.
Cybersecurity Data Breach at the Legal Aid Agency Exposes Records Going Back to 1978
The UK's Legal Aid Agency confirmed in October 2026 that a 2025 cyber-attack exfiltrated sensitive data spanning nearly five decades. Here's what happened, who was affected, and what it reveals about government data governance failures.