qvac

According to official news, Tether has launched a developer grant program that will reward developers with USDT or Bitcoin for building localized AI and payment infrastructure. There is no total grant cap for this program, and rewards will be issued based on technical tasks and deliverables, with current individual bonuses ranging from $1,500 to $4,000.This funding focuses on Tether's open-source technology stack, including wallet infrastructure, browser extensions, e-commerce integration, and particularly supports its local AI platform QVAC. Tether stated that QVAC can run AI inference directly on the device locally, without relying on cloud servers, to reduce latency, costs, and data exposure risks.In addition, Tether will also promote the development of its Wallet Development Kit (WDK) ecosystem. This tool allows developers to directly embed self-custody wallets within applications, enabling local key generation, transaction signing, and asset transfers without relying on custodial services or third-party APIs.Tether CEO Paolo Ardoino stated that a significant amount of infrastructure still forces developers to rely on centralized platforms and data business models, and Tether hopes to fund systems that can "run locally, hold value directly, and have no external dependencies" to enter the market.

Tether CEO Paolo Ardoino posted on the X platform that Tether may need to advance integration between WDK and QVAC in the future to support the development of features related to Agent Cards. Analysts believe that this direction will help improve the connection layer between AI agents and cryptocurrency payment infrastructure, providing more efficient underlying support for automated application scenarios.

According to Decrypt, stablecoin issuer Tether has announced the launch of the open-source software development kit QVAC SDK, which supports running AI applications directly on devices without relying on cloud servers.The toolkit is compatible with iOS, Android, Windows, macOS, and Linux platforms, built on the llama.cpp branch QVAC Fabric, and supports functions such as text generation, speech processing, visual recognition, and translation. It achieves peer-to-peer model distribution and delegated inference through the Holepunch protocol stack. Tether plans to subsequently add decentralized training and fine-tuning capabilities and launch specialized toolkits for robotics and brain-computer interfaces.

According to official news, Tether has released the synthetic educational dataset QVAC Genesis II.It is reported that the QVAC Genesis dataset will cover 19 educational fields, significantly enhancing the scale, depth, and reasoning quality of open AI training data. The new version will expand its coverage to 10 new fields, including chemistry, computer science, statistics, machine learning, astronomy, geography, econometrics, and electrical engineering, while also regenerating university-level physics data using improved methods.

Tether CEO Paolo Ardoino posted on social media that Tether is hiring a Chief Software Engineer for a mobile crypto (and AI-driven) wallet. This wallet will be supported by WDK and QVAC.It is reported that WDK and QVAC are the open-source wallet development toolkit and decentralized AI platform launched by Tether, respectively.

Tether CEO Paolo Ardoino tweeted that its engineering team made significant progress last week on QVAC (the AI development platform launched by Tether), WDK (the open-source toolkit), and BCI/AI (brain-computer interface / artificial intelligence). Some of the latest information will be shared in the coming days.

ChainCatcher news, according to the official blog, Tether Data's AI research division QVAC has launched the QVAC Genesis program and released the synthetic dataset Genesis I. This dataset contains 41 billion text tokens, helping to build smarter and more accurate STEM language models globally. The trained models can grasp words and their associative logic. It has been rigorously validated against educational and scientific benchmarks, demonstrating exceptional reasoning and problem-solving abilities in subjects such as mathematics and physics. It is the first publicly available synthetic dataset specifically constructed for educational content and rigorously validated, addressing the lack of publicly available training datasets in critical STEM fields. QVAC Genesis I aims to return the power of AI training to the public through open, high-quality data.In addition, Tether Data has released its first consumer application, QVAC Workbench, aimed at AI enthusiasts and others, supporting various large language models. The application is compatible with smartphones (currently only Android, with iOS to be launched) and desktop platforms, providing comprehensive local device support. When users utilize this application, chat and interaction data is 100% private, and the "delegated inference" feature can connect mobile and desktop versions, making full use of workstation resources.

ChainCatcher news, according to official sources, Tether announced today the upcoming launch of QVAC (QuantumVerse Automatic Computer), a smart development platform designed for both humans and machines, enabling highly scalable AI applications and agents to run directly on local devices without relying on centralized services and cloud infrastructure, thereby protecting users from corporate access to private user data.Tether will also soon launch the first batch of AI applications based on QVAC, focusing on privacy protection and self-sovereignty. The initial applications include QVAC/Translate, which can quickly transcribe and translate text, documents, images, and audio on the device without relying on the cloud; and QVAC/Health, a private health tracker that fully localizes sensitive health data.In addition, Tether plans to open source a comprehensive software development kit in the coming months, allowing developers to easily build, deploy, and scale their own QVAC agents on any device.