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Tether Recognized by @OSCE for Supporting Global Efforts to Combat Human Trafficking Read more: tether.io/news/tether-re…

USDT is built for the people

Physical gold. Blockchain speed. ⚡🟡 Tether Gold ($XAUT) is officially deploying natively on @BNBCHAIN ! Hold real gold stored in a Swiss vault, but move it with lightning-fast transactions and pennies in gas fees. The gold standard just got an upgrade.

Tether Gold (XAU₮) is now available @binance

Tether Gold, the World’s Leading Tokenized Gold Product, to be Listed on BNB Chain Read more: tether.io/news/tether-go…

Huge reach! 206 submissions!

USD₮ usage on Celo is reaching new all-time highs! Celo supported 5M+ USD₮ users & faciliated 7.2M+ USD₮ transactions last week, bringing @Tether's digital dollar to real users throughout the world 🌐

USD₮ on @Plasma is now live on @rumblevideo

Tether Signs Big Four Firm to Complete First Full Audit, Setting a New Quality Standard for the Digital Asset Economy Read more: tether.io/news/tether-si…

👀 x.com/paoloardoino/s…

USD₮ SWAPS are now live on @Boltzhq

USD₮ on @Plasma is now live on @pdaxph

Tether ❤️ Bitcoin Bitcoin via Spark support in WDK (Wallet Development Kit) works seamlessly. People, machines and AI agents can now transact in Satoshi micropayments. CC @lightspark @davidmarcus

Happy St. Patrick's Day! ☘️ We are painting Times Square green with USA₮! We are live in NYC right now. Spot our billboards, find our street team, and have your Rumble Wallets ready to claim some digital green today. 📱💚 @rumblevideo Terms apply.

The era of Stable Intelligence is here 🤖 Tether’s QVAC Fabric just released the world’s first cross-platform 1-bit LLM LoRA fine-tuning framework. QVAC Fabric extends Microsoft's ultra-efficient BitNet architecture, allowing fine-tuning and inference of LLMs directly on your smartphone—no NVIDIA GPU/CUDA lock-in or expensive server required. The Breakthrough: - Total Sovereignty: LoRA fine-tune ultra-efficient models locally on any smartphone, including iPhones, Pixel phones, Samsung Galaxy phones and any desktop/laptop operating systems using Vulkan and Metal backends. - Extreme Efficiency: 1-bit architecture uses up to 90% less memory and runs up to 11x faster than traditional models. - Universal Access: What used to require a data center now runs on the chip in your pocket. Own your intelligence. The era of stable, local AI is here. 📱🧠 Read the full details on Hugging Face and grab the binaries to build on your own hardware. huggingface.co/blog/qvac/fabr…

Tether AI breakthrough Tether AI team just released new version of QVAC Fabric to include the World’s First Cross-Platform BitNet LoRA Framework to Enable Billion-Parameter AI Training and Inference on Consumer GPUs and Smartphones. Background Microsoft's BitNet uses one bit architecture to dramatically compress models. Traditional LLMs operate on full-precision computation, where weights are stored as complex, high-resolution numbers. The innovation of BitNet is that it shrinks these weights into a tiny ternary range of only -1, 0, and 1. significantly reducing memory usage and computation. LoRA, is a parameter-efficient fine-tuning technique that reduces the number of trainable parameters by up to ninety-nine percent. Together they slash memory and compute requirements. Yet BitNet has mostly been limited to CPU or CUDA NVIDIA backends, and lacked the support of LoRA fine-tuning. Enters QVAC Fabric: the unlock Today, with QVAC Fabric LLM, is the first time BitNet LoRA fine-tuning and inference work cross-platform across GPU vendors and operating systems using Vulkan and Metal backends. That means support for AMD, Intel, Apple Metal and also Mobile GPUs. And for the first time ever, BitNet inference runs efficiently on smartphones using mobile GPUs. On flagship devices, GPU inference is 2 to 11 times faster than CPU while using up to 90% less memory than the full precision models. The biggest unlock: QVAC Fabric LLM support for BitNet LoRA fine-tuning on heterogeneous GPUs. Our team was able to demonstrate this by fine tuning models up to 3.8 billion parameters on all flagships phones such as Pixel 9, S25 and iPhone 16 and up to 13 billion parameter models on the iPhone 16. Github repositories: github.com/tetherto/qvac-… : general QVAC Fabric codebase github.com/tetherto/qvac-… : specific QVAC Fabric's BitNet knowledge base, architecture docs and pre-built binaries What does it mean? What used to require dedicated GPUs now runs on consumer hardware. This breakthrough is the first real-world signal of a local private AI that can truly serve the people. And this is just the beginning. In the next months and years Tether will relentlessly continue to invest significant amounts of resources and capital to continue to research and develop open-source intelligence that can scale and evolve on local devices, providing maximum utility and privacy to its users. The era of Stable Intelligence has just begun. Free as in freedom.

Tether AI team is amazing ♥️

Tether’s QVAC Launches World’s First Cross-Platform BitNet LoRA Framework to Enable Billion-Parameter AI Training and Inference on Consumer GPUs and Smartphones Learn more: tether.io/news/tethers-q…

Tether BCI Team Achieves Global Academic Recognition in Neural Speech Decoding and Machine Learning Research linkedin.com/pulse/tether-b…