Aivry
Interactive AI stories and games that react to your choices
What it does
Aivry turns AI interaction into playable stories and games. Choose a scenario, then type or speak your decisions as characters and worlds react. Play strategy campaigns, mysteries, fantasy adventures, interactive comics, character chats and classic games on the web, iOS and Android.
Aivry is a collection of interactive AI stories, strategy games, comics, character conversations and classic board games where your choices shape what happens next.
Choose a scenario, speak or type your decisions, and let AI characters and worlds react. You are the commander of StrikeTeam, leading a commando squad through a hostile office complex to defeat enemy forces. Move units between… You are the leader of a large survivor caravan crossing a zombie-ravaged world toward a distant fortified city. Make turn-by-turn decisions… You are the ruler of a Renaissance kingdom, seeking to preserve your crown and guide the realm through competing demands. Issue decrees and… You are the detective called to recover an irreplaceable bottle stolen from a locked cellar safe while every suspect remains inside the house.… You are a passenger seated beside Ela, a war…from aivry.net
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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 · 16d ago · simedw.com
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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…
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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


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 · 16d ago · simedw.com