Calvin Ho’s Taipei agency builds Web3 and CRM integrations on WordPress.com instead of a self-managed VPS. What that choice buys them, the transient-cached API pattern behind it, and what self-hosting really costs in dev hours.
Sean Moran’s work wires transformer weights analytically instead of training them: the residual stream becomes working memory and attention becomes a lookup. What that means when you need an exact computation instead of a probable answer.
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.
WordPress.com shipped an alpha Telegram bot for managing a site from your phone, opened Studio Sync to Personal and Premium plans, and split MCP read and write tool access per site.
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.