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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.

ppc paid search strategy3 weeks ago5 min

AI-Powered Digital Marketing for Performance & Growth: Your Keyword Research Toolkit

A no-nonsense comparison of Google Ads and Microsoft Advertising keyword planners, what their forecasts actually promise, and how Excel-based intelligence tools still earn their place in a modern PPC workflow.

financially motivated threat actors3 weeks ago3 min

Diesel Vortex and AI Cybersecurity Threats 2026 in Logistics Phishing

Examining how the Diesel Vortex threat group leverages 52 domains, 9-stage cloaking, and phishing kits to target freight and logistics platforms in 2026, set against the backdrop of evolving ai cybersecurity threats.

ai developer tools3 weeks ago4 min

Fine-Tuning Ultra-Low-Bit AWQ and AQLM Models with PEFT 0.9.0

How PEFT 0.9.0 enables LoRA adapter training on AWQ and 2-bit AQLM models, what it changes for AI developer tools and infrastructure, and why inference still requires separate adapters.

ai coding prompt optimization3 weeks ago6 min

Baking Instructions Into Weights: AI Developer Tools, Startup Investments, and the End of Bloated System Prompts

Microsoft's On-Policy Context Distillation (OPCD) compresses enterprise knowledge into a model's weights, collapsing latency and token costs without wrecking general capabilities. Here's how the technique works, where it beats RAG, and what it means for the AI developer tools market.

ai search seo3 weeks ago5 min

AI-Powered Digital Marketing for Performance and Growth: Ranking in Google's AI Overviews in 2026

A working guide to Google AI Overviews — what triggers them, how Google picks citations, and what a 2026 search engine optimization plan actually needs to do about it.

intertemporal choice cultural psychology3 weeks ago5 min

Predicting Human Decisions with Behavioral Theories: What Serotonin and the 75% Confidence Threshold Reveal About Patience

New research on dorsal raphe serotonin neurons shows patience isn't a fixed trait—it depends on reward probability and timing confidence. Here's what that means for behavioral economics and why SSRIs work better alongside therapy.

seo content strategy3 weeks ago4 min

AI-Powered Digital Marketing for Performance & Growth: Beyond Keywords in 2026

An in-depth editorial guide exploring how AI-powered digital marketing, human experience optimization (HXO), and multi-platform search dynamics are redefining visibility and SEO strategy in 2026.

cognitive science psychology of ai3 weeks ago5 min

The AI Overconfidence Trap: Why Smarter Users Misjudge Their Skills Most

New research from Aalto University reveals that using ChatGPT reverses the Dunning-Kruger effect, leaving AI-literate users most vulnerable to overconfidence and cognitive offloading.

ai and human cognition3 weeks ago3 min

Navigating AI's Dual Current: Using the Daoist Concept of Zhēn as a Benchmark for Wisdom

Exploring how AI simultaneously illuminates and flattens human cognition, using Peter H. Kahn Jr.'s Daoist-inspired concept of Zhēn (真) as a benchmark for wisdom and critical engagement.

cybersecurity data breaches3 weeks ago5 min

SonicWall Confirms All Cloud Backup Customers Exposed: A Cybersecurity Data Breach Case Study for 2026

SonicWall walked back its initial limited-exposure claim after Mandiant's analysis confirmed every cloud backup customer's firewall configurations were stolen. Here's what that means for your network's security posture.

labor economics employment3 weeks ago6 min

How the iOS App Economy Became a 2.2 Million-Job Labor Engine

Apple's commissioned Analysis Group research reveals that the iOS ecosystem now supports over 2.2 million American jobs, with small developer earnings up 118% in two years. A labor-economics breakdown of what that data actually means.

ai cost optimization model economics3 weeks ago3 min

The Economics of Leverage: Why Training Frontier AI Models Justifies Massive Upfront Capital

An examination of the economic implications of the 'train-once-deploy-many' property of AI models, comparing AI training scaling dynamics to human labor and exploring why AI labs can justify vastly larger upfront resource expenditures.