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Tag: Backend

AI, AI in WordPress

Hours saved is the wrong way to measure AI value

Efficiency is one slice of AI value, not the whole thing. Where automation, augmentation and innovation each show up, why the accuracy tax cancels out saved hours, and how to queue an AI fraud check so it never blocks checkout.

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AI, AI in WordPress, Development

Where to cache in a RAG pipeline besides the prompt

Prompt caching gets all the attention while the expensive work happens before the model sees a token. Five places to cache in a RAG pipeline, from query embeddings to full query-response pairs, with a transients example for WordPress.

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AI, Development

How Neuro-Symbolic AI makes fraud rules auditable

A run at differentiable rule induction: the model wrote its own IF-THEN fraud rules, rediscovered V14 without help, and went dark in three of five runs. Notes on the consistency loss and when the architecture is worth shipping.

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Core Updates, Development

WordPress 7.0 Beta 6: 132 fixes and one big revert

Beta 6 lands 132 fixes, drops Client-side Media Processing to shrink the package, and stretches Real-Time Collaboration polling by 4x. Collaboration is opt-in behind a constant now, and RC1 is due March 24th.

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AI, Development

Linear regression is a projection problem

Linear regression is a projection: you look for the point where the error vector meets the feature space at a right angle. Vectors, dot products, a forest-and-highway analogy, and the scikit-learn code that matches it.

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AI, Development

SAP-RPT-1 and the trade-offs of tabular foundation models

SAP-RPT-1 applies transformer pretraining to relational tables, so you feed it context rows instead of training a model per use case. My notes on the cost that moves to inference, the merge logic the API needs, and why one universal model still looks unlikely.

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AI, Development, E-commerce Development

Two-stage hurdle models for zero-inflated WooCommerce data

Zero-heavy data breaks a single regression, and the +1 log-transform hack does not save it. How I split CLV prediction into a hurdle classifier and an amount regression, with the two mistakes that bite in production.

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AI in WordPress, Core Updates, Development

The WordPress 7.0 Connectors API, and its rough edges

The Connectors API gives WordPress one registry for external services, starting with AI providers. Notes on the init lifecycle, the unregister and register dance for overrides, and the keys that sit unencrypted in wp_options.

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AI, AI in WordPress, Development

AI coding assistants and the WordPress code they get wrong

AI coding assistants write PHP that reads fine and falls over in production. A WooCommerce audit, the naive fetch they keep producing, and the refactor I run it through.

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AI, AI in WordPress, Development

Gemini Embeddings 2: one vector space for text, images and video

Gemini Embeddings 2 is in public preview: one vector space for text, images, audio and video. The preview limits, calling it from WordPress with the HTTP API, and why cosine similarity on its own still is not enough.

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