MindMeld
Powering the next generation of voice and chat assistants
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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
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 · 26d ago · cactuscompute.com
Launched alongside, February 2014
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- TJ
Life & fun · 2014 · github.com
- JL
http://instantclick.io/ It seems the internet architecture won't bring us instant websites anytime soon. So here is a hack. I released this JS library last month (today is version 2.0 release, fixing v1.0's rough edges), it makes use of HTML5's pushState and preloading to make a website instant. It works like this: before clicking on a link, you'll hover over it. And there's a delay of 200-300 ms between these two events. InstantClick uses this delay to preload a page, when you click on a link it will display instantly in most case. (You can test on the website.) That's…
Life & fun · 2014
- IR
Life & fun · 2014 · alp.im