WP-Bench is the official WordPress AI benchmark. It runs model-written code inside a real WordPress runtime instead of asking a human whether the code looks right. How to run it, and what it still gets wrong.
Most data science applicants in 2026 are studying the wrong things and applying everywhere at once. Notes from reading hundreds of resumes: what to learn first, how to aim applications, and why referrals do the work.
SAM3 has not made custom-trained detectors pointless. Benchmarks on wheat, CCTV and blood cells show specialist models like YOLOv11 running 30x faster and scoring higher, which is why foundation models belong in development.
A side-by-side look at Azure ML and AWS SageMaker: Workspace-centric RBAC against job-level IAM roles, Datastores against raw S3 URIs, and which one holds up once training moves off notebooks.
A vendor changed a CSV delimiter at 2 AM and my nightly import died. Here is the try, heal, retry loop I built with Pandas, Pydantic and Tenacity so the pipeline handles that class of error itself.
Prompt engineering has stopped being the interesting part of LLM work. This is about context engineering, caching structured context in transients, and checking that the model’s reasoning holds up.
Zero-shot prompts make the model guess your coding standards. Feeding it two or three working examples from your own code gets output that matches your prefixes, namespaces and security patterns.
Anthropic’s January 2026 report puts the correlation between prompt sophistication and response sophistication at 0.925. Prompt engineering did not die, it moved from magic phrases to knowing your domain well enough to frame the problem.
Beta 1 is four weeks out. Notes from this week’s AI Contributor meeting: how the WP AI Client gets merged into core, the permission filter coming for AI prompts, and why WP Bench matters once you test models against real sites.
Where air quality data actually lives, from OpenAQ and the EPA feeds to Copernicus and NASA Earthdata, what NetCDF, COG and Parquet mean for a PHP stack, and a transient-based cache that keeps the fetch off every page load.