Modern AI runs on CPUs, GPUs, TPUs and NPUs, and a WordPress site only ever meets two of them. A look at where inference actually runs, how to call a model without wrecking your server, and when the visitor’s own hardware can do the work.
LLM recommendations on a store get affordable when a free query builds the shortlist and the model only reranks thirty candidates, with the result cached. This is the WooCommerce version of a restaurant recommender pattern, including the PHP and the caching most posts skip.
Nathan Bos argues we should train AI to betray its users, because obedient superintelligence is a lone bad actor’s dream tool. I agree with where he ends up and disagree about the layer: for sites and stores, that decision belongs in permissions code, with a human on the send button.
A fine-tuned Mistral model now classifies 15 emotions in short text, and the weights are public under Apache 2.0. I look at what it took to train, how I’d wire it into WooCommerce review triage, and the parts I would not trust on a real store.
WooCommerce 10.9 logs every transactional email to the standard wc-logs directory, with sent, failed, disabled and skipped statuses. I compare it with the WP Mail Logging plugin and a hand-rolled wp_mail_failed hook, and note what it will never see.
Random splits flatter models trained on WooCommerce order data, because the same customer leaks into both sides of the split. Here is how grouped and time-based validation give honest scores, and why per-segment error belongs next to every prediction.
A team that just bought Eppo says the scorecard tied, the money was in who runs experiments, and the tool is the pipes. Before you sign anything, run your store’s tests on the parts you already own. Here is what I would build first.
WordPress 7.0.1 is on track for late June, and it will install itself on most sites the day it ships. Here is who actually runs the 7.0.x maintenance branch, and what I check on client sites before an auto-update lands.
Gutenberg shipped React 19 in 23.3.0, watched plugins that bundle React 18 crash in the editor, and rolled the runtime back in 23.3.2. Here is why bundling your own jsx-runtime caused it, and what I’d check on client sites before WordPress 7.1.
A cosmologist moved his likelihood from SciPy to Diffrax and got roughly seven times faster solves plus exact gradients. I go through what the numbers really show, the three silent porting traps, and the cases where I would keep solve_ivp.