
Training Data - AI Microgames
As an AI you must gather training data by playing microgames
What it does
I've been sitting on this for about a year Last year I made my first game for @levelsio vibejam You are an ai and must play unhinged microgames to gather training data It's an idea i'd been thinking about for ages -making warioware for the things you do everyday oin your computer and phone Anyway peope loved the game it came 2nd in the vibejam and i expanded into this ios app that uses the camera and other sensors to make fun games Oh and the music is now even more annoying Check it out
Does the same job
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Dear Hacker News, I'm kindly asking for your participation in the open beta for my AI-managed mini-games website. Thank you in advance! For a limited time window, I'm setting the all-free feature flag to true. I hope you have a lot of fun exploring the AI's sense for games! Here and there, I tweaked it to help with visual consistency. I would be deeply grateful if you opted into analytics. $2,300 in API tokens... Cheers!
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Hi hn, Its been a while since my kid has been dreaming to make videogames, as you know, the entry bar is high, too many technical details are involved. A few months ago, we started making games, we have tried many different ways, from dragging blocks to write code with a high-level library to make it simple, it is still too much work. Getting into the AI boat, I decided to give it a try for making games, turns out that it works super nicely, still, you still have many technical concepts involved, what language should the game be written in? where do you store the file/assets? how do you…
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Hi HN, I'm a solo developer learning to code, and I'd love to share my second real project: MapMyLearn, an AI-powered app that automatically generates personalized learning paths based on any topic you input. What it does: Takes a topic (e.g. "history of capitalism", "learn Rust", or "data storytelling") Uses AI to break it down into a structured course with modules and submodules Each submodule includes: - Detailed, pedagogical content (developed based on online sources to mitigate hallucinations) - A quiz of 10 questions - Recommended resources - An AI chatbot for Q&A - Optional audio…
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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.
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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, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com