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白皮書讀書會香港 [01] A deep discussion on the Institutional Privacy Stack, led by @BrianSeong (@0xMiden, WPRC) and organized by @ninjanovadotsol (@sns, WPRC). Brian created a framework to evaluate @CantonNetwork, @tempo, and @0xMiden across multiple layers. Summary Notes [COMING SOON] We discussed: (i) where privacy lives in the stack, (ii) the cryptographic tools (FHE, ZK, TEE) and layers (payment channels, L1s, nodes) used for privacy, (iii) how existing financial institutions work, (iv) why and when privacy is needed, and (v) how each chain solves the regulatory auditability problem, e.g. viewing keys. An incredible group of people joined us — from RWA founders and traders, to investors, researchers, and students. Thank you @henrychen_cy (@snzholding, @ethereumhkhub) for joining the discussion and providing awesome insights and questions. Thank you @NPC_Leo (@snzholding, @Ethtao_Ethtao), Sara, and the rest of the SNZ team for hosting us again! Shoutout to Andrew W (Building in RWA) and Kent Lau (Building in Pharma X Crypto) for joining the discussion and some friends from @852devxyz ) ----- 一場關於機構級隱私技術棧 (Institutional Privacy Stack) 的深度討論。本次活動由 @0xMiden 及 WPRC 的 @BrianSeong 領銜主講,並由 @sns 及 WPRC 的 @ninjanovadotsol 策劃組織。Brian 建立了一個評估框架,橫跨多個層級對 @CantonNetwork@tempo@0xMiden 進行了深入對比。 總結筆記 [即將推出] 我們的討論重點包括: (i) 隱私在技術棧中存在的位面 (ii) 用於實現隱私的密碼學工具(如 FHE、ZK、TEE)與技術層級(如支付通道、L1 主網、節點)(iii) 現有金融機構的運作模式(iv) 為什麼以及何時需要隱私(v) 各條公鏈如何解決監管審計合規問題(例如:查看密鑰 Viewing Keys)。 本次活動匯聚了優秀的參與者——涵蓋了 RWA 創始人、交易員、投資者、研究員以及在校學生。 感謝 @henrychen_cy (@snzholding, @ethereumhkhub) 參與討論並提供極具啟發性的見解與提問。感謝 @NPC_Leo (@snzholding, @Ethtao_Ethtao)、Sara 以及 SNZ 團隊的其他夥伴再次為我們提供場地支持! 同時感謝 Andrew W(RWA 領域開發者)、Kent Lau(醫藥 × 加密貨幣領域開發者)以及來自 @852devxyz 的朋友們一同參與交流。
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A Jenner and Bieber-approved shoe, Katie Holmes adds her own co-sign to the red-carpet-event-to-city-streets sandal.
A Chinese blogger eats spicy hot pot in Spain while watching "Empresses in the Palace." #甄嬛傳#
A six-year-old girl suftered cardiac arrest dueto choking and was resuscitated by medicalstaff following emergency treatment.#Heartwarming##Rescue##MedicalStaff#
A man collapsed in pain on the green belt dueto kidney stones Motorcycle patrol officerssent him to hospital within five minutes#Heartwarming##Police##Kidney# Stones
A cake is a cake… even with a candle on it 🍰😏 #trans# #ladyboy#
A pair of flip-flops. Three Vogue editors. Here's how to style the shoe of the summer in three entirely different ways.
A PhD student built a working nuclear fusion reactor in his garage, let an AI run it, and 400 thousand dollars later he works for Elon Musk. he posted it once. that single post ended with a grant in his account and a job offer from the most powerful man on earth. not a simulation. not a school project. an actual device that fuses atoms, sitting where his car used to be. fusion is the thing governments have been chasing for 70 years with billion dollar labs. the hard part was never the reactor itself. it was the control. the plasma inside has to be held at conditions hotter than the core of the sun, and it shifts and collapses in milliseconds. no human can react fast enough to keep it stable. so he stopped trying to do it himself. he handed the control loop to an AI. the model reads the sensor data hundreds of times a second, predicts how the plasma is about to move, and adjusts the magnetic fields before it ever drifts out of line. it does not wait for the plasma to misbehave. it sees it coming and corrects it before it happens. the same reaction-before-the-event speed no person could ever match. this is the exact kind of build people are tearing apart inside @NeuroClubAi. not to make reactors, but because the workflow is identical for anything hard. let the AI run the loop, predict the problem, fix it before it breaks. same playbook whether it is plasma or a business. then the post went out. within days Elon's fusion team reached out. they did not ask him to interview for an entry role. they handed him a 400 thousand dollar grant and pulled him onto the team building this at scale. one garage build turned a PhD student into an operator for the most ambitious man alive. here is the part that should stop you. he was one guy with a PhD, a garage, and an AI model doing the job that entire teams of physicists used to fail at. the AI was not assisting him. it was the operator. he built the hardware. the machine ran it. and that was enough to get noticed at the very top. most people think AI writes emails and makes pictures. meanwhile someone pointed it at one of the hardest physics problems on earth, held the plasma steady, and got paid by Elon Musk for it. the gap is not between humans and AI anymore. it is between the people who realize what this thing can already do and the people still using it to summarize their inbox.
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A Democrat Rep just stormed out of Marco Rubio’s hearing: Rubio: “Why is she leaving?? I’m gonna answer her questions.” Democrat Rep: *yells incoherently* Rubio: “Well, thank you for coming!” 🤣🤣🤣
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