One model, many brains. 🧠 Tether Evo just published 3 new peer-reviewed papers showing how a single BCI model can generalize across different people across 3 key areas: Speech: Translating neural data to text in minutes Vision: Reconstructing images from primate spiking data Music: Decoding songs and genres from brain activity Read the full breakdown:

Tether just released its quarterly USDT attestation for Q2 2026. Tether had a great second quarter of 2026, with ~1.5B in net operating profit, despite highly volatile global markets. USDT user base continued to grow, reaching the new all-time-high of 650M+, with the widest surge across all emerging markets, fueled by the continued period of geopolitical uncertainty. Without a doubt, Tether continues to deliver financial inclusion in the developing world like no other company or organization ever has in the history of humanity; we're all incredibly proud of this achievement. Most of the financial industry today is so excited for overly-inflated AI stock valuations, like moths to a flame. But at Tether we keep dreaming of a stable Society that drives both financial and intelligence inclusion for the 4 billion people left behind. Highlights as of 30 June 2026: * ~1.5B in net operating profits for Q2 2026. * ~184.6B total issued USDT, end of Q2 2026. * ~4.1B excess reserves, on top of the 100% reserves in liquid assets that back all issued tokens, end of Q2 2026. These results show that Tether has the liquidity, discipline and scale to remain resilient across market cycles while continuing to serve hundreds of millions of users around the world. Thank you very much for the continued support ❤️

Tether AI just released VisionPsy, a best-in-class state-of-the-art vision language model optimized for edge devices (phones, laptops, ...) with the highest overall score in its class/weight 🤖

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.

Because pronunciation was never really the point. Teh-ther. Tee-ther. However you say it, one thing doesn't change: we're stronger TogETHER, and we're always there for you. How do YOU pronounce it? 👇