WordPress 7.0 adds a watch() function to the Interactivity API for side effects that do not belong to a single DOM element, and the router store now gets state.url from the server, so the undefined guards can go. Two navigation properties are deprecated along the way.
WordPress 7.0 Beta 3 keeps the AI client in core small and pushes the providers out to plugins: Anthropic, Google and OpenAI are on the repository already, with Ollama being prepped. Plus where the MCP adapter is going and what AI Experiments 0.5.0 drops.
WooCommerce 10.6 is mostly maintenance: SQL fixes in the admin, lazy loading on by default for the Product Image block, and two changes that can break custom breadcrumbs and headless Store API calls.
A live panel on March 31, 2026 with Amber Hinds, Mary Hubbard and Raquel Manriquez, on finding collaborators instead of solving everything alone. Plus a small transient wrapper so an upcoming events widget stops hitting an API on every page load.
Beta 3, a silent Beta 4 next to 6.9.3, and Beta 5 due March 12. What real-time collaboration, the new Breadcrumb block filters and theme.json pseudo-elements mean for your custom code before the RCs land.
Weighted BCE starves when fraud is 0.2% of your data. I walk through adding a differentiable rule loss in PyTorch, what it does to ROC-AUC, and why both models need thresholds tuned the same way.
Gutenberg 22.7 ships the Connectors API, turns real-time collaboration on by default, adds live previews for style variations, and puts phpMyAdmin in wp-env. Notes on what to test before you ship it.
Google Trends normalizes every score per region, so a 100 in the US and a 100 in the UK mean different things. Borrowing the index-basket idea from finance gives you an anchor and makes the numbers comparable.
Raw averages describe a world that was not reacting to you. This post uses the penalty kick problem to show why competitive data needs mixed strategies, and what that looks like in pricing, fraud detection and WordPress backends.
Vibe-checking search results is how teams end up rebuilding a backend for a system that scores worse than the SQL it replaced. What a real AI search evaluation needs: a golden set, repeated trials, and an ICC check before you ship.