AI technology, read across systems.

Follow Q, K and V through Transformer computation and data flow, from input processing to generation. Illustrated explanations, worked examples and exercises reveal how KV caches, attention, model architectures and speculative decoding work.

Understand K3's experts, attention, and depth-wise information flow through the computation of a single token: illustrated chapters, derivations, numerical examples, and resource tradeoffs.

22 questions and answers between Xiao Wang and Da Wang, with diagrams: the KV cache, chained hashes, Claude’s cache breakpoints, DeepSeek’s persistence, YOCO’s shared memory, an 890-byte conditional ledger, approximate restoration, sparse retrieval and Engram. 17 mechanism diagrams and 4 offline interactive labs.

When agents start writing code, reading company context, touching databases, operating robots, and entering financial systems, acceptance has to move from fluency back into structure.

A scroll-driven essay on checklists, training data, audit chains, and the daily actions that all point to the same problem.

A magazine letter on the week of May 12, 2026: across AI agents, perpetual futures, robotic hands, self-driving labs, cat facial mimicry, and a Colorado wet-slab avalanche, surface signals are quietly decoupling from deep structure.

A magazine-style read of one strange week in tech: Anthropic ships 'how an agent audits itself' as an SDK, Karpathy's own coding guide quietly makes Claude Code worse, the academic line on rubric verifiers, and a two-month-old kitten that just rewrote 70 years of cat archaeology.