The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production.
Accelerated use of AI in software development is rapidly altering the scope, skills, and strategies involved in securing code ...
AI safeguards can backfire when models learn to mimic the signals meant to verify truth. In one system, memory design and ...
Tencent just open-sourced Hy3 preview, a model that punches above its weight on coding agents, reasoning, and search—built in ...
How indirect prompt injection attacks on AI work - and 6 ways to shut them down ...
OpenAI says it has already put GPT-5.5’s coding skills to use internally. The LLM helped optimize the software that manages ...
EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...
Testing small LLMs in a VMware Workstation VM on an Intel-based laptop reveals performance speeds orders of magnitude faster than on a Raspberry Pi 5, demonstrating that local AI limitations are ...
Twenty years ago this month, my first post in this blog was " Security Myths and Passwords ," addressing the folk wisdom that monthly password rotation improves security. That myth had survived for ...
The software industry has embraced AI coding assistants with remarkable speed. GitHub Copilot, Cursor, Claude Code, and their competitors have moved from experimental curiosities to everyday tools for ...
Neuro-symbolic AI is now being used to provide mental health guidance. Turns out this is better than using conventional AI. I ...
Though I’ve recommended that you avoid vibe coding for embedded systems, I’ve been using chatbots to help with my programming ...
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