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Subscribers receive new essays, field notes, project updates and preprints by email. Some technical papers and working documents are published only for subscribers, so subscribing is simply how they’re distributed.

What this is

aimez is where I publish work on making difficult questions measurable.

That usually means building new software, collecting new evidence and testing ideas in the physical world instead of stopping at theory.

Every project is documented from first prototype through deployment, with notes on the engineering, the research process and the AI systems that help produce it.

Current work

Current projects include Friend, an interactive model of Manhattan that estimates pedestrian conditions block by block from sparse urban observations, and Orcast, an orchestration framework for running large AI research campaigns with reproducible evidence trails.

Who writes this

Gil Raitses is an applied researcher working at the intersection of AI, physical systems and immersive scientific computing.

gilraitses.github.io