Long-form technical writing on execution models, consensus, EVM foundations, and verifiable AI. Each insight makes Web3 clearer.
"Scaling" is often treated as one problem. This piece splits it into consensus, data availability, execution, and settlement — and places L2s, sharding, standalone DA, and L1 parallel execution on that map, including where parallel EVM sits.
How classic BFT’s serial phases and messaging complexity limit throughput, how Pipeline BFT overlaps heights in a pipeline, and where correctness boundaries sit once consensus is decoupled from execution.
