Paolo Ardoino ๐ค
@paoloardoino โข 356,741 subscribers
CEO @tether ๐๏ธ + CTO @bitfinex ๐ | @keet_io ๐ + https://t.co/arlfWS9TE7 @QVAC ๐ค + ๐ฆ (Views are my own)
Shorts
Videos
iShowspeed shopping with USDT in Nigeria Speedโญ๏ธ
Paolo Ardoino ๐ค1,378,205 Aufrufe โข vor 8 Monaten
GM to the Unstoppable Search Engine. Tether P2P team is developing a peer-to-peer search engine that can scale across thousands of nodes and self-organize data in fault-tolerant structures to maintain high availability and censorship resistance. Work progress is impressive. Here you can see the full Wikipedia archive stored and searchable across 100 distributed nodes in our test environment. Performance is insane.
Paolo Ardoino ๐ค69,130 Aufrufe โข vor 1 Monat
QVAC first demo (android mobile) of its local on-device fine-tuning generalized framework, which aims to bring LORA fine-tuning to any device, scaling from the smallest embedded device to any smartphone, laptop, server, operating system. In combination with WIP multi-node features, we expect QVAC to become the standard for local on-device single/multi node inference and fine-tuning. Imagine a horde of AI agents being able to learn from your emails, notes and messages, maintaining 100โ privacy, leveraging only your own devices. A P2P private intelligence network at your fingertips. That's how QVAC personal assistant will look like. Future of Intelligence won't be centralized. Infinite Ingelligence vibes.
Paolo Ardoino ๐ค142,902 Aufrufe โข vor 11 Monaten
The cloud has failed us. Again. 16 billion passwords just leaked. Itโs time to ditch the cloud. Thatโs why weโve been building PearPass โ coming soon. A fully local, open-source password manager. No cloud. No servers. No leaks. Ever. Just you โ and your keys, stored securely on your devices.
Paolo Ardoino ๐ค177,407 Aufrufe โข vor 1 Jahr
First Tether AI's QVAC powered robot by Generative Bionics
Paolo Ardoino ๐ค45,962 Aufrufe โข vor 3 Monaten
๐ฎ๐น๐ฎ๐น๐ฎ๐น Tether invests in Generative Bionics, spinoff of IIT (the Italian Institute of Technology), to support the development of a new generation of intelligent humanoid robots. The future of robotics is local on-device AI ( ), programmable money (Bitcoin, USDT, USAT, XAUT) and self-custodial wallets (WDK, Wallet Development Kit).
Paolo Ardoino ๐ค85,420 Aufrufe โข vor 10 Monaten
Yesterday at Lugano Plan โฟ I presented a preview of Tether's Local AI development kit, privacy focused, powered by peer-to-peer technology ๐๐ Write the code once, and run everywhere, from a 40$ phone, to a flagship smartphone, from a laptop to a mainframe with many H100, from a smart fridge to a car entertainment system. Based on ๐ป Terher's AI SDK is extremely modular, it uses supports any model (Marian, Llama, ...) and loads/stores weights and fine-tuning data in P2P data structures. Open source once battle tested. Demo of a sample local and 100% private translation app working on any device ๐
Paolo Ardoino ๐ค127,950 Aufrufe โข vor 2 Jahren
QVAC SDK will support in 0.9.0 (gonna be release in ~10 days) LoRA fine-tuning directly on-device, letting developers customize LLMs with their own data without sending anything to the cloud. You just load a base model, point it at your training dataset, and get a lightweight LoRA adapter back โ all running locally. The fine-tuned model can then be used for inference immediately, with no extra setup. Why it matters: LoRA (Low-Rank Adaptation) fine-tuning lets you specialize a general-purpose language model for your specific use case โ like matching a brand's tone, mastering domain terminology, or following a particular output format โ using a fraction of the compute a full fine-tune would require. QVAC handles the entire workflow locally: dataset preparation, training with configurable hyperparameters, checkpoint saving, and seamless inference with the resulting adapter. Your data never leaves the device. The developer experience: Fine-tuning with QVAC is as simple as calling "sdk.finetune()" with your dataset and a few hyperparameters. Training runs entirely on your local hardware, produces a compact LoRA adapter file, and supports pause/resume so you can stop a job and pick it back up without losing progress. The result plugs straight into QVAC's inference pipeline โ no model conversion, no deployment step, just immediate local completions with your fine-tuned model.
Paolo Ardoino ๐ค42,413 Aufrufe โข vor 6 Monaten
Here is a demo of the (Wallet Development Kit) WDK Template Wallet. - build 100% on WDK by Tether - well encapsulated reusable UI components - soon opensource - fully non-custodial (supports different seed backup strategies to enable super simple user-experience) - available for any platform/os both mobile and desktop - implements USDT, USDT0, an extremely comprehensive set of DeFi primitives (lending, swapping, ...) - security audited - clone, add your customizations, build and release to your community - team is doing an incredible job, very proud WDK by Tether will be the building block for billions of wallets.
Paolo Ardoino ๐ค55,461 Aufrufe โข vor 1 Jahr
#lugano #planb and #bitcoin at Bellinzona Carnival fest ๐จ๐ญ๐ซ๐ฎ
Paolo Ardoino ๐ค134,811 Aufrufe โข vor 3 Jahren
Demo of Tether's QVAC running local inference on a mobile device at incredible speed, via llama.cpp + LLAMA 3.2 1B parameters. QVAC is a generalized inference and fine-tuning runtime able to adapt to any device, from smartphones, to laptops and servers. Lots of models being supported already. More to come. No limits. Infinite intelligence. Coming soon
Paolo Ardoino ๐ค42,127 Aufrufe โข vor 1 Jahr
Marco Marco Chiappetta, Head of Product at QVAC Health, explains the last private beta app update. Still lot of work in progress. Current focus is building all the underlying structured local datastore so that anything can be built on top of it. Enjoy ๐ช
Paolo Ardoino ๐ค38,290 Aufrufe โข vor 1 Jahr
Diffusion image generation support coming to QVAC SDK 0.9.0 (to be released in a couple of weeks)
Paolo Ardoino ๐ค20,225 Aufrufe โข vor 6 Monaten