A look at Accessible UX Research, the new Smashing Magazine book by Dr. Michele Williams, and why passing a WCAG checklist is not the same as being usable. Includes the nav menu ARIA fix I keep applying to custom themes.
Five ways to turn continuous variables into bins: equal width, equal frequency, domain-defined intervals, K-Means, and a shallow decision tree. What each one does to outliers and skew, with the scikit-learn and Pandas code.
WordPress 7.0 lets you register a block entirely in PHP. The autoRegister flag tells the editor to build the inspector controls from your attribute definitions, so a server-rendered block needs no JavaScript. The setup, and the attribute types it skips.
No model is interpretable in the abstract. Interpretability is a set of methods for answering a question, and in production that question is usually diagnosis, validation or discovery. Includes a way to store explanation data in WordPress meta and transients.
One agent cannot learn routing, packing and weight limits at once. A hybrid MARL-LP setup gives reinforcement learning the fleet-level strategy and hands the hard constraints to a linear programming solver, which trains faster and generalizes across hubs.
AI handles static problems well and struggles with systems that keep moving, which is where operational scar tissue still pays. On static versus flux systems, the physical limits on adoption, and why judgment stays scarce as cognition gets cheap.
WordPress 7.0 adds a programmatic watch() to the Interactivity API and populates state.url on the server, so the guard code around that first undefined value can go. Also covers the deprecated core/router navigation properties and what to use instead.
After fourteen years, I moved away from enterprise WordPress maintenance. Four things pushed me out: release cycles measured in weeks, proprietary wrappers that hide core, six-month footer tickets, and a culture that punishes shipping.
A walk through the YOLOv3 architecture: why Darknet-53 drops maxpooling for stride-2 convolutions, how the three detection scales work, and why the class heads use sigmoids instead of softmax. With PyTorch code for both blocks.
Standard DDP makes every GPU keep a full copy of a 7B model, roughly 112 GB of VRAM. ZeRO shards those states across the cluster instead, PyTorch FSDP implements it, and the price you pay is network bandwidth.