My Clippings.txt is an append-only mess, and the expanded highlights inside it will wreck any summary you generate from the raw file. Here is the parser, the deduplication logic and the local Ollama call I use instead.
An ad hoc prompt works once, then quietly stops matching the result you got the first time. Claude Code Skills wrap the workflow in a SKILL.md file, with structured JSON for the data and Python for the parts that have to be deterministic.
On EMNIST Letters, a GMVAE reached 80% accuracy from roughly three labeled samples per cluster, where XGBoost needed 35 times the supervision. Most of that comes down to soft decoding instead of hard cluster assignment.
Spry Fox has run the same WordPress blog since 2010, through hits, an acquisition and spin-outs. Why that outlasts social platforms, and how to cache a deep archive with the Transients API so an old database stays fast.
Gutenberg 23.0 adds an experimental revisions panel for templates, template parts and patterns, plus a flag that stops legacy meta boxes from disabling real-time collaboration. The Guidelines rename will catch you out on update.
Google’s TurboQuant compresses the LLM KV cache 5x with near-zero accuracy loss. How PolarQuant’s randomized rotation flattens outliers, and how QJL residual correction keeps the attention dot product unbiased.
WordPress 7.0 is on pause while Real-Time Collaboration is reworked. What the April 15 dev chat said about treating the next RC as a beta, the PR tagging problem, and core-abilities moving out of React.
Bigger context payloads buy accuracy and charge you latency and tokens. How KNN-based prefiltering with scikit-learn trims an ICL payload without losing predictive accuracy, and whether to run it client side or service side.
AI slop is code that reads fine until it meets real traffic. This is the problem, hypothesis, test, conclusion loop I run on AI written WordPress and WooCommerce work, including a benchmark that settles metadata API versus a custom table.
Retrieval gets worse as the memory pool grows, while the confidence score keeps climbing. Here is what causes RAG memory decay and the four fixes I put into production systems: topic routing, semantic deduplication, relevance based eviction, and lexical reranking.