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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 · 19d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 20d 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 · 29d ago · cactuscompute.com
Source: Product Hunt launch ↗
Launched alongside, September 2022
the whole month →- IM
Life & fun · 2022 · dogbunnypuzzle.com
- IM
A couple of years ago, I had an interesting idea. What if there was a marketplace where all the underlying tech was open-source? The order management system, the storefront, customer support, etc. The marketplace would simply connect to the seller’s infra instead of locking them in. If, for some reason, the seller is removed from the marketplace, their software stays with them and they can continue accepting orders directly. This model can be used to disrupt any marketplace from AirBNB to UberEats: building tech for home renters and restaurants and later, leveraging that to build a competing…
Dev tools · 2022 · openship.org
