Sovi Web
Your entire study stack in one AI workspace.
What it does
Sovi is an AI-native cognitive workspace that brings your entire study stack into one place. Instead of jumping between disconnected tools, Sovi unifies everything from problem-solving and lectures to writing, reviewing, and exam prep. With multimodal AI agents and persistent learning memory, Sovi learns how you learn, understands where you struggle, and evolves alongside your academic journey.
Sovi.AI is your all-in-one AI study workspace: get step-by-step homework help, chat with PDFs, generate quizzes, write essays, and practice AP exams…
Sovi.AI brings every study tool into a single workspace so you can learn smarter, solve faster, and achieve more. Get instant homework help, study from your own PDFs, prepare for AP exams, and write better essays — all powered by AI across every subject. Sovi.AI is trusted by millions of students and educators worldwide. Every answer comes with clear, step-by-step explanations so you understand the how and why — not just the final result. Pick a study mode, then upload homework images or PDFs to begin. New to Sovi.AI? Start at Sovi.AI , read study guides on the Sovi.AI Blog , or download the iOS app to study on thefrom mysovi.ai
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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 · 17d ago · simedw.com
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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…
AI · 27d ago · cactuscompute.com
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Dev tools · 2d ago · opentrailpaper.com
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Life & fun · 5d ago · github.com
Turn text, pics, video, + 3D into camera-controlled HD video
AI · 5d ago · worldlabs.ai