ConscioussAI
AI that runs your phone and computer
What it does
Consciouss AI is an AI agent that executes tasks for you, not just answers questions. It researches, browses the web, creates documents, manages messages, plans trips, shops online and completes complex workflows with your approval. Instead of switching between multiple apps and tools, just tell Consciouss what you want and it gets the work done. Available on Mac, Windows, iOS and Android.
ConscioussAI v1.33 Beta is an AI assistant for macOS, Windows, iOS, and Android. It understands context and helps execute work across apps, files, and the web.
ConscioussAI is an AI agent that integrates with your operating system and helps operate your phone and computer the way you would. ConscioussAI is an AI agent that integrates with your operating system and helps operate your phone and computer the way you would. ConscioussAI is an AI agent that integrates directly with your operating system and runs your device the way you would. It can control apps, navigate workflows, use a browser, understand screen context, automate tasks across desktop and mobile, connect with SOL through regular text messages, and run scheduled work so deliverables are ready before you even open your computer. It is not another chatbot; it is the execution layer for…from conscioussai.com
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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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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.
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