QVAC

One day your robot will hear you, answer you and walk across the room without asking a server for permission. @G_Bionics already built one & showed it running on QVAC at Plan ₿ Forum in Lugano.

OpenAI CEO Sam Altman believes people owning RAM is wasteful, and that it belongs in data centers instead. "From a global allocation perspective, actually, it’s quite terrible to have everyone have a bunch of the world’s limited supply of DRAM sitting in their own computer."

We just released QVAC TranscribePsy, a speech-to-text model small enough to run inside a phone app. It covers 25 European languages on a laptop and 8 on a phone, and on an iPhone 17 Pro Max's Neural Engine the 8-language build transcribes a 10-minute recording in 1.65 seconds. Glasses, robots and phones are moving to voice, and each of them first has to write down what you said. Today that step mostly happens on a server. TranscribePsy does it on the phone or laptop, so dictation and meeting notes keep working with no signal, and a private conversation can be transcribed without the recording ever leaving the room. Run it on our qvac-fabric-speech.cpp's parakeet engine, which optimizes for efficient execution and delivers the highest performance. Get the models: huggingface.co/collections/q…

We solved financial inclusion with USD₮. Now we are tackling intelligence inclusion with QVAC. 🤖 Join me for a Reddit AMA on October 7th at 3pm UTC to talk about on-device AI runtimes, privacy, local inference, and the future of decentralized tech.

We love seeing apps using QVAC into their stack. Keet just shipped two new features built on the QVAC SDK: transcripts and AI summaries of your calls, made on your device. A messenger built around privacy can only offer this with local AI. Sending calls to a cloud service to be transcribed would undo the privacy the rest of the app protects.

Parakeet Redux is compressed from NVIDIA's Parakeet TDT 0.6B v3, so we ran it against the original, which QVAC runs in Q8. Both transcribed the same two hours of audio on the GPU of a MacBook Pro M5 Max. QVAC took 22.3 seconds, 323x real time, and Redux took 44.2 seconds, 163x. Both times include loading the model.

Tether gave the developing world access to dollars. QVAC does the same for intelligence.

QVAC SDK 0.19 is live. 🚀 We added support for: - LTX-2.3 IC-LoRA reference-conditioning API, generating consistent video from reference sheet - Qwen3.8-Flash-Next (qwen4exp) - Turbovec, making RAG search hundreds of times faster - MiniMax Music3, writing full songs with vocals - Checking if a model fits before you download it - A QVAC-native translate route in qvac serve - The QVAC test-suite in the monorepo, so framework and tests move as one - Clustered inference on Fabric that splits one model across two machines Learn more in the thread below. Complete release doc here: github.com/tetherto/qvac/rel…

A medical model that runs on a phone changes who can get access to vital information when needed most. No clinic nearby, no signal, no subscription and no account. MedPsy still works, and the questions stay on the device. New piece in The Verge: theverge.com/ad/959338/what-…

Tether AI just dropped a 460M parameter vision model that runs on your phone and tops every benchmark in its class. > Leads on document understanding, OCR, visual perception, reasoning, and instruction following * Best-in-class scores against every other sub-500M VLM FRONTIER VISION AI NOW FITS IN YOUR POCKET.

Introducing VisionPsy-Nano: state-of-the-art vision-language models at 460M parameters, small enough to run on the phone in your pocket. VisionPsy-Nano-460M leads every other ~0.5B vision-language model tested & compares favourably on 16 of 17 benchmarks, tops all four capability categories, and outperforms models up to 2.3x larger. Two variants, one tuned for maximum accuracy and one for real-time responsiveness. Open weights, Apache 2.0, and no cloud in the loop.

Hermes is an AI Harness from @NousResearch that is truly yours: you can shape its persona, it remembers you across sessions, and it gets better the longer you use it. We ran it fully local on QVAC. The persona, the memory, the skills it learns, all of it stays on your machine.

I built a FULLY LOCAL web3 agent using @tether's QVAC and gave it my private key! The AI brain is Qwen3-8B running 100% on my machine. It drives a self-custodial, gasless wallet on @monad (Tether WDK). Open source and ready for PRs 👇 github.com/portdeveloper/nad…