Antimatter – Match the opposites (Mahjong solitaire mechanic)
I love word association games. Here's a playable wordplay game where you match opposite word tiles. After playtesting a lot of mechanics, I think opposites play really nicely with Mahjong solitaire. The current generation of frontier LLMs can't make puzzles that get much more interesting than hot-vs-big-vs-fast. New inferences keep circling a small pool of concepts unless the prompting has a way to get the LLM into new territories of language. Puzzlemaking needs graph traversals. I made 20 levels algorithmically because I work with a huge semantic graph with over 100M edges, built from…
In plain words
Antimatter is a word puzzle game where players match opposite word tiles using a Mahjong solitaire mechanic. It features 20 algorithmically-generated levels created from a semantic graph containing over 100 million word relationships. The game is designed for players who enjoy word association challenges. Each puzzle session randomly selects from the available levels, offering varied combinations of opposite word pairs to match.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I love word association games. Here's a playable wordplay game where you match opposite word tiles. After playtesting a lot of mechanics, I think opposites play really nicely with Mahjong solitaire. The current generation of frontier LLMs can't make puzzles that get much more interesting than hot-vs-big-vs-fast. New inferences keep circling a small pool of concepts unless the prompting has a way to get the LLM into new territories of language. Puzzlemaking needs graph traversals. I made 20 levels algorithmically because I work with a huge semantic graph with over 100M edges, built from manual lexicography and millions of LLM inferences (various models). I keep exploring what can emerge from this graph. The puzzles are randomly selected; reload to see others. The front-end was built with Claude Code. Maybe someday I'll make this into a mobile game, increase the complexity and peril. If you are a gamedev, feel free to dissect it and borrow any parts.
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, March 2026
the whole month →

Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com


