Blog

Notes on (explainable) AI, computer vision, open data and mapping, with occasional excursions into whatever's shaping the current AI landscape.

Navier–Stokes, Scaling Laws, and Peak Tokens

AIScaling LawsOpen Data

OpenAI's Navier–Stokes result quietly admits that user prompts may be training data too. A look at why tokens — not energy or money — could be AI's binding constraint, and why that last reservoir is set up to run dry.

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Hidden in Plain Sight

Open DataOpenStreetMapPhotovoltaics

Something visible from the sky or the street isn't made safe by hiding the dataset — that only decides who gets to see it. Why openness is the robust choice for mapping infrastructure like rooftop solar.

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The Blind Men and the Solar Panel

Open DataPhotovoltaicsOpenStreetMap

Reconciling grid connection data, remote sensing, and OpenStreetMap: why comparing PV maps means agreeing on what a PV installation even is.

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What Does a Solar Panel Detector Actually See?

Explainable AIComputer VisionDeepPVMapper

Using wavelet decomposition to explain what a deep learning model actually detects, and why DeepPVMapper turned out to be a grid detector.

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