OrqonixAI
A Real AI workforce you own.
What it does
Sovereign AI employees for Customer Support, Sales, Ops, and Executive Office deployed on your own infrastructure, adversarially tested, and monitored 24/7. Not SaaS. Not a chatbot. A real AI workforce you own.
OrqonixAI - Enterprise Autonomous AI Departments & Sovereign Mesh Networks.
System Update: Autonomous AI Support Mesh V2.0 Now Live | Current Deployment SLA: 24-48 Hours Sovereign, autonomous AI departments deployed on your own infrastructure. Built by OrqonixAI. Tickets resolved in seconds, not hours — AI handles the volume, humans step in only when it matters. From outbound to closed deal — AI handles the pipeline, humans approve the pricing. AI-drafted board updates, budget tracking, and contracts — nothing sent without your approval. Zero-touch data routing, procurement, and process monitoring — running while you sleep. We map your existing workflows and identify exactly where capital is leaking to manual routing. We provision your isolated AWS instance and…from orqonixai.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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Life & fun · 10d ago · louisabraham.github.io
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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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