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Reworking the TESSERA Zarr store layout after community feedback, Springer's API woes for evidence synthesis, vibecoding introspection, and git remote helpers for ATProto.
Tessera produces global land-cover embeddings at 0.1-degree resolution, roughly 11 km square at the equator. For each year and each grid tile, there is a directory containing NumPy files of the embeddings.
We’ve all been using Claude via the prompt, and some have even ventured into running claude --dangerously-skip-permissions in a nice sandbox like avsm/claude-ocaml-devcontainer.
This post walks through how to use mtelvers/day10 to compare which opam packages build successfully under two different compiler configurations.
Evidence synthesis at the DEFRA science conference, TESSERA transcoding and building a new SPA, OpenStreetMap/DuckDB bindings in OxCaml, and early thoughts on vibecoding etiquette.
For Pi Day, I have implemented the same algorithm in both OCaml and OxCaml and compared the generated assembly and runtime performance.
How we restructured TESSERA's geospatial embeddings from millions of individual numpy files into sharded Zarr v3 stores for efficient HTTP streaming, enabling everything from single-pixel mobile lookups to regional-scale analysis with just a couple of range requests.
