AI Experiments 0.5.0 now needs WordPress 7.0
AI Experiments 0.5.0 requires WordPress 7.0, drops its bundled AI client for the one in core, and moves API keys to the Connectors screen. What that means if you are still on 6.9.
Tag: AI
Why your data stack is not ready for AI agents
Dashboards are no longer the main consumer of your data. Here is what I would change in a data stack to make it readable by agents: fewer tools, open table formats, a real semantic layer, and feedback loops that act without waiting for a human.
Why SmashingConf Amsterdam is on my list for April 2026
SmashingConf Amsterdam runs in April 2026 at the Pathé Tuschinski. What pulled me in is the live-work format: speakers working through CSS and accessibility problems on stage instead of walking an audience through finished slides.
Fourier transform sound analysis without the black box
np.fft is not a black box you have to live with. This walks through the winding machine picture of Fourier transform sound analysis, the center of mass calculation behind magnitude and phase, and why Euler’s formula shows up instead of a plain sine wave.
Metropolis-Hastings, or how to sample without the integral
Bayesian work hands you densities you cannot integrate or invert. Metropolis-Hastings samples them anyway, with a random walk and an acceptance ratio that cancels the normalization constant. Includes the NumPy implementation and the three ergodicity conditions.
Cutting vector search costs by 80% with MRL and int8
Vector infrastructure gets expensive fast: 100 million 1024-dimensional float32 vectors need over 1.2TB of RAM. Pairing Matryoshka truncation with int8 quantization cuts storage by roughly 80%, and this post covers where the savings stop and recall starts to break.
Why spectral clustering beats K-means on curved data
K-means assumes clusters are round, so it cuts the two moons dataset straight down the middle. Spectral clustering reads the data as a graph instead: build the Laplacian, take its smallest eigenvectors, cluster in that space. With NumPy code and notes on tuning gamma.
WordPress 7.0 Beta 3 and the AI client ecosystem
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.
Neuro-symbolic fraud detection with differentiable rules
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: AI connectors and RTC on by default
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.