Maze Game
Challenge in randomly mazes while racing against AI opponent
What it does
Race through randomly generated mazes against two AI opponents with different strategies. One uses optimal pathfinding (BFS), the other follows the right-hand wall rule. Can you beat them both? Simple, addictive, and works offline!
Does a similar job
all alternatives →- MCMazeBattles.com – Race to solve generated mazes2018 · mazebattles.com · ▲63
- VAVisual A* pathfinding and maze generation in Python2024 · github.com · ▲135
I was fascinated reading through another recent HN submission about a highly efficient implementation of A* in Lisp, which got me thinking about how I could do something similar in Python. However, these kinds of pathfinding algorithms really need complex terrain/mazes with interesting obstructions to showcase what they can do and how they work. So, I started thinking about how I could generate cool and diverse random "mazes" (they aren't really mazes, but I'm not sure what the best term is). I got a bit carried away thinking of lots of different cool ways to generate these mazes, such…
- SASolve and generate mazes with JavaScript on HTML Canvas2019 · github.com · ▲96
- AMAntimatter – Match the opposites (Mahjong solitaire mechanic)Mar 2026 · linguabase.org · ▲12
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…
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 · 18d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d 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, November 2025
the whole month →
- IB
Life & fun · Nov 2025 · bitsnpieces.dev
- BBoing▲782
Life & fun · Nov 2025 · boing.greg.technology