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.
Sector 2026 Closes in Toronto: What the Record Crowd Really Said About Artificial Intelligence AI Cybersecurity
Sector 2026 wrapped in Toronto with record attendance and 22% growth. Here is what the shifting threat picture actually looks like, and how AI is used in cybersecurity on both sides of the line.
Choosing MLX weight precision by tensor role and storage budget for ai model local deployment
An in-depth explainer on MLX affine group quantization, 4-bit, 8-bit, and mixed 4/8-bit precision choices for local model deployment on Apple Silicon. Covers tensor-role preservation for norms, scales, biases, and router gates using an audited LFM mixed pack example.
AI Cybersecurity Threats in 2026: How TA4903 Automated the Entire Attack Chain
An in-depth analysis of how threat group TA4903 has integrated artificial intelligence across its attack chain in 2026, examining ai cybersecurity threats, automated social engineering, and BEC fraud.
AI Model Local Deployment: Qwen3.8-Flash Throughput Gains Between mlx-serve 26.8.11 and 26.10.2 — What Is Real?
Comparing two benchmark runs of Qwen3.8-Flash-Next mixed-quantization on Apple Silicon M4 Max across mlx-serve releases, separating genuine build improvements from environmental contention artifacts, with quality scores and deployment guidance.
Active Parameters in AI Model Local Deployment: A Decode/Prefill and Quality Head-to-Head
A head-to-head look at cohort-relative speed and quality indices in an October 2026 local model benchmark.
Where Local LLM Serving Hits Its Concurrency Ceiling
Comprehensive October 2026 benchmark analysis of cross-model concurrency scaling, batching efficiency, early saturation, and local deployment strategies on Apple Silicon.
How AI Cybersecurity Companies Are Tracking the Global Proxyjacking Threat on Edge Devices
A comprehensive technical analysis of the global proxyjacking campaign affecting edge devices across 34 countries, examining how AI cybersecurity companies track bandwidth theft, enterprise risk, and corporate threat assessments.
AI Model Local Deployment: Analyzing the MiniCPM-V Text-Only Conversion Scorecard
A detailed technical analysis of the MiniCPM-V 35B 4-bit text-only benchmark scorecard running on Apple Silicon, exploring local deployment practices, execution throughput, and agentic AI capabilities.
AI Model Local Deployment: Deep Dive into Qwen3.8 Flash Next Scorecard
Comprehensive single-model deep dive into Qwen3.8 Flash Next local deployment on Apple Silicon, covering plain vs MTP decode, prefill metrics, context ladder, latency, and capability scorecard.
How We Benchmark AI Model Local Deployment: Building a Repeatable Local-Model Suite
A local-model benchmark suite under development separates model quality, throughput, latency, and context behaviour, fixes the protocol and setup for repeatability, retains per-run evidence, and refuses to collapse unlike dimensions into a composite winner or a general recommendation.
Trojanized yay and paru: Fake AUR Helpers Join the 2026 Wave of AI Cybersecurity Threats
A threat actor mass-uploaded typosquatted AUR packages impersonating the yay and paru helpers, shipping an install scriptlet that ran a remote shell as root from Russian hosting. Here is how the October 2026 campaign worked, its possible tie to the DirtyBlanket npm worm, and the practices that keep Arch users off the victim list.
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.