TLDR Data · MISCELLANEOUS
USING MODELS TO CREATE MODELS OF NEW YORK CITY
Summary from the TLDR Data newsletter
Peter Sobot used 1,000+ photos, Claude, and Gaussian Splatting to build a 3D model of the New York skyline. Running 74+ subagents and roughly 280 experiments, the project showed that AI can handle much of the technical workflow, but still struggles with visual judgement, messy data, and knowing when the result is genuinely good.