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Professor Ting Chuen PONG, Vice-President (Administration & Business) of HKUST(GZ), welcomed Newcastle University's Professor Stephanie Glendinning, Pro-Vice-Chancellor of the Faculty of Science, Agriculture and Engineering, and Professor Stuart Edwards, Dean of Global & Education Development in the Faculty of Science, to the HKUST(GZ) campus on Sept 28. This marked Newcastle University's second visit to HKUST(GZ), following the visit of Professor Chris DAY, Vice-Chancellor and President, in November 2025. Professor PONG introduced the University's distinctive academic structure, commitment to innovation-driven education, and the construction of the second phase of the campus. The delegation also toured the Brilliant Energy Science and Technology Lab and held themed seminars with young professors from the University, covering smart manufacturing, AI & data science, and sustainability. The visit strengthened the partnership between Newcastle University and HKUST(GZ), providing a valuable platform for both universities to exchange insights and explore shared research priorities.

Get ready for @askar_dex "Part 2" 😎 Built on the @CantonNetwork Non-custodial wallet & DEX on Canton Network. Atomic swaps, private by design, global composability. Your Keys. Your Assets. One Synchronized Network. 🟡 We always hear the words "Atomic Settlement" but what exactly is that? 🤔 Atomic: Transaction Finality = No partial fills & No counterparty Risk! Private: Data shared strictly on a need-to-know basis Composable: One wallet across every app on the Global Synchronizer 1) Features: 👇 Everything a Canton wallet should be...which is😉 "An independent wallet built to run on the Canton Network...only now in your pocket!" Non-Custodial by Design: Your private keys are generated and stored only on your device. Nobody — including us — can touch your funds. Atomic Settlement: Trades either complete fully or not at all. Real-time finality with zero counterparty risk on the Canton ledger. Global Composability: Interact with any application connected to the Global Synchronizer — no bridges, no silos, one wallet. Trustless Swaps: Swap Canton Coin and tokenized assets peer-to-peer, settled instantly and atomically on-ledger. Sub-Transaction Privacy: Canton shares transaction data strictly on a need-to-know basis. Your activity is invisible to everyone else. Real-World Assets: Hold and manage tokenized RWAs alongside crypto — built for the network where institutional finance settles. *** @WalletConnect Support *** Connect @askar_dex Wallet to dApps on the Canton Network with WalletConnect! Simply scan, approve, and sign every session securely from your phone...😎🔥 2) Runs on the Canton Network 👇 The network where real finance goes on-chain... The Canton Network is a privacy-enabled, interoperable blockchain network designed for institutional-grade assets. @askar_dex Wallet is an independent, non-custodial wallet built to run on this network. 01 Privacy with compliance... canton-network:native is the only public network with sub-transaction privacy. Participants see only the data they are entitled to, while remaining fully auditable. 02 Institutional-Grade Rails... Built by @digitalasset and operated by a decentralized ecosystem of banks, exchanges, and market infrastructure providers moving real value on-chain. 03 The Global Synchronizer... A decentralized interoperability backbone that lets independent applications transact atomically with each other. No Wrapped Assets & No Bridges! 3) The App 👇 Designed to feel effortless... A clean and Very Fast interface for everything you do on the cc rails...from your first Canton Coin, to bridging and swapping tokenized assets, Askar DEX has you covered! *Portfolio - Track Crypto & RWA holdings at a glance *Swap - Trustless Atomic Swaps settled on-ledger *Bridge - Move Assets in & out of Canton *Activity - Full Transaction history with live status *Profile - Manage your identity & security settings 4) Get Started 👇 On the network in three steps... From download to your first atomic transaction in minutes. 1: Download & Install Get Askardex Wallet on your Android device. Setup takes less than a minute. No account or email required 2: Create or Import a Wallet Generate a new wallet with a 12-word recovery phrase, or import an existing one. Keys never leave your device. 3) Transact on Canton! Send, receive, swap, and bridge assets across the Canton Network. Every transaction signed by you, settled atomically...😉 Website: Wallet:

Today’s historic meeting at the White House was an important first step to ensure government and industry work together to maintain safety AND America’s global lead in innovation. Those are not mutually exclusive pursuits. We will keep steady hands at the wheel as we continue this incredible progress for the American people and all of humanity.

TRON will ring the closing bell at @Cboe Global Markets' trading floor in Chicago today, September 29, to celebrate the listing of TRXS, an exchange-traded product offering staked exposure to TRX, the native token of the TRON network. The milestone reflects the TRON network's growing adoption across traditional financial markets, with TRXS giving institutions access to TRX through participating brokerages. More details @TheBlockCo 👇

Stablecoins are getting easier to hold. The harder question is still: what can you actually use them for? In most wallets, the loop stops at Hold → Send → Receive. Changer+ is building the next layer: global eSIMs, tickets, and everyday digital services — redeemed with supported stablecoins. Not just holding stablecoins. Using them.

Why Tokenization Could Be the Most Important Economic Innovation of Our Lifetime | Bruce Fenton @BruceFenton is a longtime Bitcoin advocate since 2012, securities professional, and one of the early pioneers of tokenized securities. He is the founder and CEO of Chainstone Labs and founder of Atlantic Financial. Alongside Overstock founder @PatrickByrne, Bruce was involved in some of the earliest efforts to bring securities and financial-market infrastructure onto blockchain rails. In 2018, he tokenized equity in his own company, Chainstone Labs, on the Ravencoin blockchain—years before tokenization became one of Wall Street’s biggest narratives. In this episode, Bruce breaks down naked short selling, the plumbing behind traditional securities markets, and why he believes much of the problem is ultimately a ledger problem. We dive into questions such as: Who actually owns the stocks sitting in your brokerage account? How can shares be lent and rehypothecated? What role do brokers, clearing firms, DTCC, and Cede & Co. play in determining who owns what? And could blockchain replace an opaque system of claims and intermediaries with a transparent ledger showing exactly where an asset is and who owns it? We unpack what “tokenized stocks” actually means—and the important distinction between a token that simply gives you exposure to a stock’s price and a security issued natively onchain, where the token itself represents the actual share and the ownership rights that come with it. Bruce discusses how tokenization could allow smaller businesses to tokenize ownership and have their stock traded globally without needing to be listed on a traditional exchange like the NYSE, as well as what a future without KYC could look like. Finally, we get into Wall Street’s embrace of tokenization, the SEC’s evolving approach to tokenized securities, and one of the biggest questions surrounding the future of this technology: who ultimately controls these new financial rails? Remember to subscribe and hit the bell “🔔” icon to get notifications 0:00 Bruce Fenton & Patrick Byrne: Pioneers of Tokenized Securities 3:36 Naked Short Selling Explained 6:28 Who Actually Owns the Stocks in Your Brokerage Account? 12:00 Tokenization Solves Wall Street’s “Ledger Problem” 15:48 What Are You Actually Buying With Robinhood’s Tokenized Stocks? 16:48 Real Tokenized Stocks: When the Token IS the Share 21:46 Tokenization Could Open U.S. Markets to the Entire World 22:52 Why Companies May No Longer Need the NYSE 26:29 Could Tokenized Markets Exist Without KYC? 29:31 Bruce Tokenized Equity on Ravencoin in 2018 30:53 Will Blockchain Make Clearing Houses & DTCC Obsolete? 33:17 Could Tokenization Have Prevented the GameStop Crisis? 38:19 Wall Street Is Embracing Tokenization — Who Gets the Power? 40:20 The SEC’s New Tokenized Securities “Innovation Exemption” 42:57 Why Robinhood’s Tokenized Stocks Don’t Qualify 47:01 Could Everything Eventually Be Tokenized? 51:02 The Dystopian Side of Tokenization: Surveillance & Asset Seizure

Right in the middle of the Conan set, a woman is inverted in a full handstand, Her form is tight and controlled, arms locked, body perfectly vertical against the dark stage. Conan sits a few feet away at his desk, suit jacket on, ocean-night backdrop glowing behind him.

Higgsfield is the most untold story in tech. $1BN in ARR in 18 months. Faster than everyone other than OpenAI and Anthropic. They spend $4M a month on models. They expect this to be $100K per person per month. They have 150 people working in a content machine. They will breed more millionaires than any other company in Kazakh history. For the first time, @alexmashrabov on the journey to $1BN in ARR. (below) 1. The Power of the Immigrant Founder Coming from Uzbekistan, Alex was pushed into competitive programming at age eight as his single path to reach the United States. For international founders, placing top in global competitions serves as the ultimate social elevator, instilling the relentless work ethic required to build breakout companies. 2. My Biggest Lessons in the Journey to Finding Product-Market Fit @higgsfield burned over $10 million of its $16 million seed round chasing hype and narrative rather than product quality. With under $5 million left, the team pivoted to product-led growth, solving camera control for creative directors, which immediately triggered organic hypergrowth without paid ads. 3. The 150-Person Content Team Powering Higgsfield's Billion in ARR Nearly half of Higgsfield's workforce consists of 150 in-house creative professionals producing tutorials, ads, and cinematic projects. Generating 90 minutes of TV-quality AI video requires 100 hours of raw output, proving human taste and curation remain the primary drivers of distribution. 4. We Spend $4 Million per Month on Models Higgsfield spends $4 million monthly on internal model usage, averaging $10,000 per employee so teams can freely vibe code and test workflows. Uncapped inference compute acts as a force multiplier, allowing top talent to discover breakthroughs at maximum velocity. 5. Why Chasing Benchmarks Is Bullshit and the Corporate Misalignment Occurring Public benchmarks have devolved into corporate psyops where lab researchers overfit test data to secure bonuses before job-hopping. Text-to-video benchmarks ignore real production workflows requiring 3,000-word prompts, proving direct customer iteration beats artificial leaderboards. 6. Why Team Sizes Won't Be Impacted as Much as People Think While AI handles over 60% of basic support requests, complex B2B environments cannot eliminate human teams. High product velocity constantly shifts rules and context, requiring smart, coordinated operators across legal and customer success. 7. Americans Are Way More Promiscuous When It Comes to Leaving Companies Silicon Valley workers routinely jump jobs every two years, prioritizing short-term trends over deep commitment. This transactional market gives international hubs an advantage, where cultural loyalty and team stability build compounding technical moats. (links in comments)

Modal @modal 这份「GPU 术语手册」做的太友好了，它把整个 GPU 技术栈拆成四个相互勾连的层面：设备硬件、设备软件（执行模型）、主机软件（驱动与工具链）、性能分析，每个词条都密集交叉链接，既可以按需查阅单个术语，也可以从头到尾线性通读。 理解这份手册从「CUDA」开始，CUDA 有三重含义：一种设备架构、一个并行编程模型、一个软件平台。这份手册的四个章节恰好分别展开这三个含义加上性能分析。 GPU Glossary 四个章节： 1. 设备硬件：GPU 的物理解剖 - CPU 用复杂核心避免延迟，GPU 用海量简单线程隐藏延迟 2. 设备软件：CUDA 的执行模型 - 线程层级、内存层级、硬件三层严格同构，程序员亲手管理内存 3. 主机软件：驱动、工具链与库 - Runtime 包着 Driver，闭源库拿来即用，CUTLASS 一系负责构造自己的 kernel 4. 性能分析：完整诊断链 - 定瓶颈 → roofline 定性 → 利用率定位 → warp 机制 → 访存模式 → 资源约束 这三句总结很到位 GPU 的本质是“单周期切换海量简单线程来隐藏延迟”；编程的本质是“沿线程-内存-硬件的同构层级，把数据在正确的层级间搬运，把算术强度做到岭点以上”；性能工程的本质是“沿诊断链逐层定位，用 Little 定律算够并发，不为中间指标（如占用率）本身而优化。