← AI intuition & LLM systems

Keep current without losing the foundations

Use a small reading loop: choose one new mechanism, check the original source, and connect it to a bottleneck you already understand.

Watch the systems you use

Read the release notes linked from your engine’s official documentation. Track changes to defaults, backends, metrics, and compatibility.

Turn a claim into an experiment

Write down the workload, hardware, baseline, quality condition, and missing assumptions. Reproduce only claims relevant to your service.

Update your mental map

For a new architecture, ask what changes in state size, arithmetic, data movement, and output quality.