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Show HN: Shoggoth Mini – A soft tentacle robot powered by GPT-4o and RL

news.ycombinator.com Unknown 2025-07-28 18:46:41

Shoggoth Mini July 14, 2025 Over the past year, robotics has been catching up with the LLM era. Pi’s π0.5 can clean unseen homes. Tesla’s Optimus can follow natural language cooking instructions. These systems are extremely impressive, but they feel stuck in a utilitarian mindset of robotic appliances. For these future robots to live with us, they must be expressive. Expressiveness communicates internal state such as intent, attention, and confidence. Beyond its functional utility as a communic

Topics: 2d control space tentacle tip
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Show HN: I made a 2D game engine in Dart

news.ycombinator.com Jochen Heizmann 2025-08-15 16:07:19

Writing games is fun again Bullseye2D is a HTML5 game library for the Dart Programming Language. It provides a simple and straightforward API, and a fast WebGL renderer. You can learn it in an evening and start making awesome games right from the start. It's made for developers who love Dart and want a solid foundation to make 2D games.

Topics: awesome bullseye2d dart games start
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First 2D, non-silicon computer developed

news.ycombinator.com Unknown 2025-09-12 05:26:43

The team used metal-organic chemical vapor deposition (MOCVD) — a fabrication process that involves vaporizing ingredients, forcing a chemical reaction and depositing the products onto a substrate — to grow large sheets of molybdenum disulfide and tungsten diselenide and fabricate over 1,000 of each type of transistor. By carefully tuning the device fabrication and post-processing steps, they were able to adjust the threshold voltages of both n- and p-type transistors, enabling the construction

Topics: 2d engineering materials research state
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Tiny-diffusion: A minimal implementation of probabilistic diffusion models

news.ycombinator.com Unknown 2025-09-14 23:52:49

A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets. Get started by running python ddpm.py -h to explore the available options for training. Forward process A visualization of the forward diffusion process being applied to a dataset of one thousand 2D points. Note that the dinosaur is not a single training example, it represents each 2D point in the dataset. Reverse process This illustration shows how the reverse process recovers the distribution of the trainin

Topics: 2d learning model process rate
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