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When AI Learns to Pentest: The ARTEX Case and the Rise of Agentic Attack Tooling
In October 2026, an open-source AI pentesting tool called ARTEX was linked to attacks on South Korean financial institutions — and within 48 hours its developer pulled the source and went closed-source. This article reconstructs the timeline, unpacks its technical positioning, and answers the more important question: how should defenders respond when attack tooling is driven by AI agents?
OkHuman Capability Evaluation: An Agent That Misdiagnoses Itself
Thirteen verifiable tests on a local 9B model revealed the biggest flaw: OkHuman confidently misreports its own capabilities. Why agent evaluation must never trust self-reports.
A/B Test Automation and Analysis
How do you build an automated A/B testing pipeline — from hypothesis generation, experiment design, and traffic allocation to statistical-significance judgment and applying results? This article teaches you to build a data-driven optimization engine that puts every page element through scientific validation. The focus is on 'avoiding common statistical traps' and 'scaling experiments'.
A Reality Check on Decision Models: Why They Seem Miraculous Online but We Measured Only 54%: A Full Comparison of JEV / LAYA / KEV / CLM-8B and a Deployment Formula
In September 2026, System One decision models formed a new category within two weeks: the closed-source JEV API, then LAYA, KEV, and CLM-8B open-sourced one after another. This article does more than summarize the differences among the four; it uses six everyday scenarios to explain how they are actually used, and places the official marketing side by side with our same-question measurements: on the same set of questions, full-coverage accuracy was only 54%, but with confidence gating it reached 91.7%.
AI Security and Red Teaming: Prompt Injection, Jailbreak Defense
A full landscape of security threats to AI systems: Prompt Injection, Jailbreak, Data Poisoning, and practical defense strategies and red team testing methods.
LLM Evaluation and Selection Guide: How to Scientifically Choose Models in 2026
A systematic LLM selection framework: Benchmark interpretation, real-world scenario testing methods, cost/performance matrix, DeepSeek V4 vs Qwen vs Llama comparison.