AI raised the floor on production, and that changed what designers are actually paid for. Here is where human strategy still decides the outcome, and why judgment now carries the accountability.
Machine learning at scale is an infrastructure problem before it is a modeling one: why availability beats accuracy, how label leakage fakes good metrics, and why heavy models and fallbacks belong on different hardware.
Intel’s Gaudi accelerators lost half their throughput on AWS DL1 because every byte detoured through host DRAM. This is how Peer Direct, libfabric and DMA-BUF put that data path back on the network.
Vibe coding a feature is easy; keeping it out of the technical debt pile is not. A CLAUDE.md handbook, plan mode before any edit, and a review pass that assumes something is broken.
Quantum machine learning is not fast AI. It changes how data is represented, from bits and floats to amplitudes you can only read by measuring, and most quantum-inspired pipelines are not QML at all.
WordPress 7.0 Beta 2 adds one Connectors screen for AI providers and forces Block API v3 blocks into the iframed editor. Both change what your plugin code has to do before the April 9 release.
AI Experiments 0.4.0 puts prompt-based image generation in the Block Editor and the Media Library, and adds a Generate Review Notes pass for accessibility and readability. It also points at the WordPress AI rename in 0.5.0.
LatentVLA drops natural language reasoning for self-supervised latent action prediction, using VQ-VAE codebooks and distillation to hit real-time speed. It also explains why open-loop NavSim scores flatter these models.
Running OpenClaw on bare metal, skipping the system prompt, and handing it admin API keys are the three setups that go wrong most. What to do instead, with a docker-compose file and a scoped IAM policy.
Claude Skills keep instructions in files the agent reads only when needed, which cuts the token overhead of always-on MCP tools. Subagents push it further by throwing away their own context once the job is done.