☕️ The Afternoon TEE Party recording is live! 🇦🇷🔥 We covered everything from the truth behind recent “TEE exploits,” to why trustless agents and real-world privacy matter. The conversations were packed with insights from Oasis, iExec, and an incredible panel of privacy builders. If you couldn’t make it, no worries — you can watch the entire session here 👇

www.youtube.com

💰 Tether приобрела биткоины на сумму $1 миллиард, использовав свои резервы в $USDT. Это первый случай, когда компания активно инвестирует из своего казначейства. 🌐 Наши ссылки | Торгуем на Bybit | Торгуем на BingX

It’s that time again, Shping Community! Let’s recap the week’s highlights and wins! 🏆 📊 App Insights & Analytics ✅ 12,640 new product reviews – with some amazing video testimonials ✅ 41,926 retail stores & service providers now registered ✅ $1,892,384 in purchases captured from receipt data 📌 Happening on November 28! Ready to join us for our November AMA? Here's the broadcast link. Share it to your family and friends, and be sure you're available on the 28th of November at 14:00 AEST. Send your questions for the Shping team through this link. 👉 AusCryptoCon 2025 is just around the corner! We're excited to meet you at our booth —come see us at the Innovation Pod in the ICC, Sydney if you're joining the conference. Visit this link to learn more. 🤔 Why you should sign up to be a Shping Insider? You can be part of a global community of Shping supporters, all while getting the hottest updates on your favourite project! Learn more. 📢 October Shping Newsletter Have a look through our latest newsletter release to get a gist of where the Shping project's at. 🤩 Explore What’s In Our Social Feeds Global retail marketing spend is nearing $1T How shoppers unlock a direct connection to brand marketing budgets In Web3 retail, shoppers stop being data donors. Connect With Shping on Our Official Channels Twitter | LinkedIn | Instagram | Facebook | Tiktok Done for the week! Go relax & recharge! 🌙

🚀 Fresh on Orbler Project Board! 1️⃣ Perpl (@perpltrade) – A fully on-chain perpetual DEX built with a CLOB model for maximum transparency and capital efficiency. 👉 Campaign: Grab Discord roles early, Perpl just raised $9.25M and more activities are expected soon. 🔗 app.orbler.io/projects-board/236 2️⃣ Polynomial (@polynomialfi) – An L2 built to hyperscale on-chain derivatives with unified liquidity and ultra-fast settlement. 👉 Campaign: Join the Polynomial Superchain campaign, stake assets, earn points, and be one of the earliest stakers (only ~900 on the board). Boosts active for the first 2 weeks. 🔗 app.orbler.io/projects-board/237 3️⃣ Zaiffer (@ZaifferProtocol) – A multi-chain protocol for financial privacy using synthetic assets and homomorphic encryption for private on-chain transfers. 👉 Campaign: Zaiffer Testnet is now live, apply for Whitelist access and start interacting for a potential airdrop. 🔗 app.orbler.io/projects-board/238 ✨ Three fresh drops today, dive in on Orbler Project Board.

Binance Completes Integration of USDC (USDC) on Sei Network, Opens Deposits and Withdrawals - 2025-11-21

www.binance.com

Most AI engineers in 2025 still deploy without understanding the VRAM their models actually need. A RAG prototype runs fine on a MacBook and suddenly everyone thinks it’s “production-ready.” Then an 8×H100 setup throws out-of-memory errors at 3 AM with a handful of concurrent users and the system collapses. Model choice isn’t what breaks you. Poor capacity planning does. Batch sizes, context windows, retrieval steps, embedding dimensions, concurrency paths, all of it compounds. If you don’t size VRAM requirements before deployment, the failure is guaranteed. Do the maths before you scale.

Most AI engineers in 2025 still deploy without understanding the VRAM their models actually need. A RAG prototype runs fine on a MacBook and suddenly everyone thinks it’s “production-ready.” Then an 8×H100 setup throws out-of-memory errors at 3 AM with a handful of concurrent users and the system collapses. Model choice isn’t what breaks you. Poor capacity planning does. Batch sizes, context windows, retrieval steps, embedding dimensions, concurrency paths, all of it compounds. If you don’t size VRAM requirements before deployment, the failure is guaranteed. Do the maths before you scale.