Dongxiang has almost no parallel data, so we fine-tuned Meta’s NLLB-200 instead of prompting a general model. Cleaning the bilingual corpus, checking subword fertility, registering a new language tag, and why Adafactor beat AdamW on one GPU.
I tabbed out of a showModal() dialog into the address bar and assumed it was a bug. It is not. Why the W3C APA group dropped the strict focus trap, what showModal() handles for you, and the two mistakes that make focus leak.
Notes from the AI contributor meeting: AI Experiments 0.2.0 is out, the Core Post Management abilities PR is under review, PHP AI Client v0.4.0 shipped, and the MCP Adapter stays a canonical plugin. February 19 is the Beta 1 cutoff.
Nominations for the WordPress 7.0 release squad are open until January 16, with the final release set for April 9, 2026. Here is the beta schedule and what the four lead roles actually involve.
Chrome 144 added the ::search-text pseudo-element, which finally lets you style find-in-page highlights. Relative color syntax keeps matches readable on dark themes and saturated backgrounds.
The WordPress 7.0 bug scrubs run twice a week from late January to April 8, moving from alpha triage to hunting regressions. Here are the dates, the Slack channels, and what it takes to lead a session.
The WordPress AI Client is being lined up for a core inclusion proposal. January 2026 contributor notes cover streaming leaving the PHP client, a kill switch filter for locked-down sites, and MCP for tool discovery.
WordPress 6.9 ships the DataForm component, so a settings page can be declared as configuration instead of a stack of PanelBody components. Field definitions, card layouts, and wiring the form up to the REST API.
WordPress AI Experiments 0.2.0 adds AI-generated excerpts in the block editor and an Abilities Explorer screen under Tools. Here is what the release changes for plugin developers, plus the code for registering your own ability.
Prediction models find patterns; they do not tell you what an action will cause. This post walks through the causal toolkit for that: potential outcomes, DAGs, de-biasing with OLS, propensity matching, and difference-in-differences.