One LLM cannot draft emails, read documents and optimize a sales pipeline well. A look at splitting the work across reasoning, orchestration and execution layers, with TD learning doing the sequential decisions.
Metric depth, class-agnostic segmentation and geometric fusion turn ordinary photos into a labeled 3D scene. Includes the KD-tree voting code that took label coverage from about 20% to 78% of a point cloud with no extra annotation.
Voice picking used to mean vendor-locked hardware. ElevenLabs voice AI does the same job off an ordinary smartphone, and this covers the WordPress side of it: a cached text-to-speech wrapper, plus the latency and noise problems that sink most builds.
Waiting for the F1-score to drop means the fraud already happened. A FIDI Z-score on the symbolic layer flagged drift a full window earlier across five seeds. The code is below, along with the covariate blind spot it will not catch.
Vector search on its own leaves an agent repeating things that stopped being true months ago. Here is the memory lifecycle I build instead: decay scores, contradiction detection, confidence values, compression, and a background worker that does the cleanup.
Production models rarely decay on a smooth curve. They hold steady and then lose a fifth of their recall in an afternoon. Here is the R-squared test that tells you which regime you are in, and the three triggers I use instead of a retraining calendar.
Bigger context windows do not fix agent reasoning. Notes on context rot, compaction and folding, the harness that wraps the model, and why agents should pass distilled artifacts instead of raw traces.
WordPress AI Plugin 0.7.0 adds content classification that can stick to your existing terms, context-aware meta descriptions, bulk alt text in the Media Library, and a filter for system instructions.
VLA models put vision, language and motion in one latent space instead of three separate pipelines. Notes on why that unification works, and how action tokenization, diffusion heads and flow matching differ once the model has to output real movement.
The 7.0 release went back from RC to Beta so Real-Time Collaboration data could move out of post_meta and into its own table. Also covers the WP AI Client, pseudo-states in theme.json and the Playground MCP server.