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Show HN: The Cascade Graph – An interactive map of AI and energy constraints
Hello, I wanted to share with you all a interactive map of the economics and physics constraints of the AI buildout. It has macro drivers, industrial chokepoints, and where that shows up in markets. I've added 393 nodes and 562 edges to capture other supply / physics constraints as well. There's no sign up, and no pay wall, it's all free. Please let me know what you think!
AI's Affordability Crisis
Show HN: Nimic – Pure Python as a systems language with AOT compilation
Show HN: Treedocs: Documentation that automatically checks for staleness
Show HN: peerd – AI agent harness that runs entirely in your browser
Hey HN. http://peerd.ai is an AI agent harness that lives entirely in your browser as a web extension. You don’t have to install a separate “AI browser”. You don’t have to bolt on or run some external process or manage a clunky mcp integration. It’s just a fully contained web extension, written in no build vanilla JS with minimal non-browser dependencies, using your own provider keys, and Apache 2. This isn’t just a fun hack. While it has largely been a solo side project, I genuinely believe the
Markdy: Like Mermaid Diagrams, but for Motion
Performance of WebAssembly Runtimes in 2026
Lift4D: Harmonizing Single-View 3D Estimation for 4D Reconstruction In-the-Wild
Task Failed Successfully: Saturating NIC and Disk Bandwidth
Show HN: TikZ Editor – WYSIWYG editor for figures in LaTeX
Hi all! TikZ is a widely-used LaTeX package for drawing figures in papers. It uses commands like \draw[->] (0,0) -- (1,2); to draw lines, shapes, text, etc. Academics usually code up their figures by hand, so there is lots of twiddling around with the coordinates and recompiling until things look nice. I guess it’s a bit like SVG, but it’s more code than markup, for example it has loops with \foreach. I built an open-source WYSIWYG TikZ editor (available for web and desktop) that allows you to e
Show HN: Bun-sqlgen – Type-safe raw SQL for Bun, no ORM
Elevated error rate across multiple models
Spying on kids to save kids from spying is stupid
Mistral OCR 4
MSG Made Dossier on Activists Who Opposed Facial Recognition
Overfitted a 900KB Transformer to Compress a 100MB CSV into 7MB
I built an experiment that uses an overfitted transformer and arithmetic coding to compress individual files. Instead of training the model to generalize, I train a 900KB transformer to memorize a single file and predict the next byte. Those predictions are fed into an arithmetic coder to produce the compressed output. On a 100MB NYC taxi CSV, it compresses to about 7MB (~0.5 bits/byte). On a 100MB slice of enwik9, it compresses to about 21MB (~1.68 bits/byte). It's pretty slow right now (roughl