Joined April 2025
72 Photos and videos
Looking to build a local AI app? The QVAC SDK is a great place to start. One npm install, 12 AI tasks, all running on-device. Text, embeddings, RAG, speech-to-text, text-to-speech, translation, vision, image generation, OCR, classification, on-device fine-tuning, and brain-computer-interface transcription. One SDK. It runs natively on iOS and Android from a single npm install, plus desktop and server. Swap one model for another without rewriting your app. Apache 2.0, no API keys, no per-token cost, nothing leaves the device.
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Local AI just got a body. @G_Bionics built the robot, QVAC runs on it. The same SDK that runs on a phone now runs the robot.
First Tether AI's QVAC powered robot by Generative Bionics
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There is a middleman between you and almost every AI you use. Today, using capable AI means routing every request through a cloud provider. They hold the model. They see the prompt. They decide whether you still have access tomorrow. The intermediary is not a bug. It is the structure. That structure has a cost beyond the bill. Every query you send trains their model and sits on their servers. You are not the one getting smarter. The system in the middle is. Remove the middleman and you disintermediate your access to intelligence. The model runs on your device. Your prompts never leave it. No account to suspend, no key to revoke, nothing between you and your own thinking. That is what QVAC is. Intelligence with no intermediary. Open source, runs offline, yours to keep. github.com/tetherto/qvac
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QVAC reposted
First Tether AI's QVAC powered robot by Generative Bionics
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Rome. Le Corsie Sistine. The Last Question. @paoloardoino took the stage to make the case for local AI over centralized AI and for putting intelligence back in the hands of the people who use it. Not your AI, not your intelligence. #TheLastQuestion #QVAC
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QVAC is built by a team working at the frontier where AI, biology, and computing converge, a convergence that is compressing decades of progress into years. That means real research, in the open. Tether just had four papers accepted at ICLR, and open-sources the whole stack for millions of developers and researchers to scrutinize. techcrunch.com/sponsor/tethe…
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Frontier labs keep pushing the limit of what AI can do, and that matters. But the limit is not the problem most people have. Most people are not asking AI to do frontier things. They ask it to explain something, summarize a page, draft a message, answer a question. For that, a model small enough to run on the phone in your pocket is already enough. A few gigabytes, fully on-device, no account, no bill. Pushing the frontier and putting AI in everyone's hands are two different jobs. One is crowded. The other is wide open. QVAC builds for the second one. The AI most people actually need should run on the device they already own, not behind someone else's paywall.
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QVAC now has a dedicated community channel on @keet_io, and the team is in there with hundreds of AI builders and enthusiasts. It is the easiest place to ask us anything and talk on-device AI directly. New to Keet? It is the most private messenger out there: fully peer-to-peer, end-to-end encrypted, no servers, no phone number, no metadata.
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How to join? 1. Download the Keet App 2. Use the link below or scan the QR code to join the QVAC Room. keet://chat/gfo61f4e6zc5t1ifncyh9yp7s5eynbruz5bs95oc5ufn3e79entmhiqoesiz3bnmzrro146epcrte3sghteyaezm3crqtisco11nj8ff4fu839kmem1tqw3qprr6mzzktmrpuc6ikwsf1ysf7j5fdfkbdik5wyed14rq5gif1wtrn4mwjmbm3johnoferya
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More announcements about QVAC x Keet coming very soon 👀
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In our lecture of AI of this weekend the kids learned how to connect local #AI @qvac SDK and a JS based Pokemon Fan-Project. We built an AI Poke-trainer to learn about several tools. Imagine their future if they are learning Linux, git and AI on weekends. Kids deserve fun
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A level 5 Charmander against a level 22 Bellsprout needs all the help it can get. Good thing it has a local AI Pokemon advisor, built with QVAC. x.com/PupusasG/status/207144…
In our lecture of AI of this weekend the kids learned how to connect local #AI @qvac SDK and a JS based Pokemon Fan-Project. We built an AI Poke-trainer to learn about several tools. Imagine their future if they are learning Linux, git and AI on weekends. Kids deserve fun
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QVAC SDK 0.14.0 is live. This release makes the on-device stack faster on mobile, ships the developer-agent path, and takes local text-to-speech to 31 languages. Main highlights: - OpenCode and OpenClaw. The first official OpenCode plugin, plus a maintained OpenClaw compatibility path, both built on managed mode and qvac serve. Point a coding agent at a local model with far less setup and far fewer surprises. - Brain-computer interface transcription, on the SDK. Take recorded neural signal data and decode it into text, fully on-device, no cloud. Stream it in chunks through a simple API. In 0.14 it runs GPU-accelerated on iOS. - Text to Speech in 31 languages with our Supertonic3 upgrade. VOICE AND SPEECH - Supertonic3 multilingual TTS, 5 languages to 31. - Chatterbox and Supertonic now run on the Android GPU, with lower memory use (especially on iOS), quantized s3gen Chatterbox support, and a fix for Chatterbox occasionally emitting random speech. - Whisper transcription now runs on the iOS GPU. Parakeet runs on the Android GPU, with steadier real-time streaming. VISION AND OCR - VLM multi-tile batching: high-resolution Pan and Scan images are encoded in one pass instead of tile by tile, for faster vision throughput. - OCR on ggml (EasyOCR and DocTR) reaches full speed parity with the onnx path, across Metal, OpenCL, and Vulkan. PLATFORM AND RELIABILITY - Dynamic compute backends on Linux: one build picks the right backend at runtime, and opens the door to ROCm and CUDA support without per-backend builds. - Thinking tokens are kept out of the model context, so reasoning no longer fills the KV cache. SDK 0.14.0 is now leaner and faster to start. Let’s build.
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Install or upgrade in one command: npm install @qvac/sdk NPM download: npmjs.com/package/@qvac/sdk Release Notes: docs.qvac.tether.io/referenc…
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The Tether Developers Cup is live: a global hackathon that runs like a football knockout tournament. Teams of 1 to 4 build a football-themed project on the Tether open-source stack, pick a nation to represent, and survive five rounds until one team lifts the cup. Three tracks: - @qvac for on-device AI - @Pears_p2p for peer-to-peer apps - @WDK_tether for self-custodial wallets 8,000 USDt in prizes. Free, worldwide. Register June 28 to July 6, live Final July 15. Register with the link below ⬇️
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QVAC reposted
Centralized big-tech AI is starting a warpath against open-source AI models. The excuse: safety. The reality: extinction of their business model, already heavily underwater with gazillion dolllars capex.
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QVAC reposted
Tether AI is 100% open-source x.com/paoloardoino/status/20…
Centralized big-tech AI is starting a warpath against open-source AI models. The excuse: safety. The reality: extinction of their business model, already heavily underwater with gazillion dolllars capex.
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