Matthew(マシュー)🥭Hendricks (@tinycrops) header
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hypermedia production and generative ASCII art

Rochester, NY
Joined May 2015
Photo by Matthew(マシュー)🥭Hendricks (@tinycrops)Photo by Matthew(マシュー)🥭Hendricks (@tinycrops)Photo by Matthew(マシュー)🥭Hendricks (@tinycrops)Photo by Matthew(マシュー)🥭Hendricks (@tinycrops)Photo by Matthew(マシュー)🥭Hendricks (@tinycrops)Photo by Matthew(マシュー)🥭Hendricks (@tinycrops)Photo by Matthew(マシュー)🥭Hendricks (@tinycrops)Photo by Matthew(マシュー)🥭Hendricks (@tinycrops)
Matthew(マシュー)🥭Hendricks retweeted
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Matthew(マシュー)🥭Hendricks retweeted
One of the subagents just made a figure so bad that the lead Claude immediately killed them and replaced them with a new agent.
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best agentic sound design 2027
warning: do not turn on your sound Etretat tiles converge: palette-index nGPT mosaic as a 3D ASCIInGPT tumble
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anyone who has ever made a knife can tell you exactly when a knife shouldn't be used as a flat head screwdriver.
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warning: do not turn on your sound Etretat tiles converge: palette-index nGPT mosaic as a 3D ASCIInGPT tumble
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ASCIInGPT dance, beat-tracked to the take you liked
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Etretat tiles, palette-index nGPT (first attempt): mosaic no sound
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Matthew(マシュー)🥭Hendricks retweeted
1/10 🔮 Can a world model learn to make its own future more predictable?* In Latent-Foresight, we jointly learn a compact latent representation of visual foundation model (VFM) features and a generative dynamics model that predicts their future. Here's how 👇
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Matthew(マシュー)🥭Hendricks retweeted
are we for fucking real right now 😭
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asciinGPT — a world of other things: omnimodal competition
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asciinGPT kinetic study 02 — heat and shortest paths
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Matthew(マシュー)🥭Hendricks retweeted
"did you read the new @ThinkWiselyMatt post?" "no, did you?" "no"
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Matthew(マシュー)🥭Hendricks retweeted
Uploaded the camera-ready version of our #NeurIPS2026 paper: "Generalized Wasserstein Flow Matching: Nested Couplings for Point Cloud Generation" → Multisample Flow Matching in Wasserstein space 📄 arxiv.org/abs/2605.08424 with R. Duong & G.Steidl :)
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this is not what you want the output to look and sound like but it's evidence of progress. Ten nGPTs learn ten forms (grid)
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