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.
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.
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.
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.
Shadow AI shows up because the official workflow is slower than the shortcut. Here is how I read that usage as a signal, and what a governed option looks like inside a WordPress stack.
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.
Prompt caching takes up to 90% off input token cost and around 80% off latency, but only when the prompt prefix never moves. Here is how the pre-fill stage works, where the 1,024-token threshold sits, and how to order a prompt so it hits the cache.
A single noisy A/B test made a client drop a feature that was working. Bayesian thinking is the correction: write down what you believed before the data arrived, then update it. Includes the mammogram problem and a five-step checklist.
I moved a 500-line prompt into a Claude Code Skill and stopped re-pasting it every morning. This covers the three loading stages, how to write a description Claude will act on, and the three implementation patterns.
Grace periods for the EU AI Act and the Cyber Resilience Act run out in 2026, which moves data governance out of the legal team and into the server room. What that means for provenance, SBOMs and brittle pipelines.