Continuing to model the world through long-form podcasts! @CarinaLHong This episode is full of the "beauty of mathematics". She is also our youngest guest to date — Hong Letong, born in 2001, known online as the "Math Girl". This is her first-ever interview in Chinese. We talked about mathematics as invented versus discovered, proofs from the Book of Proofs, the entrepreneurial journey of the most unlikely founder, and of course, AI for Math. ✍🏻✍🏻 A 4-hour Interview with Carina Hong: AI for Math, Lean, Proofs from The ... 来自 @YouTube

Yes, our latest special guest is Fuli Luo @_LuoFuli . The second battle in the global large model arms race has begun: shifting from the Chat era dominated by pre-training to the Agent era driven by post-training. This marks Fuli Luo’s first-ever interview, as well as her first in-depth technical conversation. We talked systematically about the massive AI upheaval triggered by technological breakthroughs including Claude Opus 4.6 and OpenClaw in 2026, along with its subsequent structural impacts across the industry. Amid the fierce large-model arms race, the world around us is undergoing brutally rapid changes—even for researchers who train models firsthand. “I used to believe our work was highly creative, and could never be simplified into fixed skills or standardized workflows. But now I realize it can be automated after all. If that’s possible, can models train stronger models on their own? Can they achieve iterative improvement through self-evolution? This is exactly what will unfold in the next couple of years,” Fuli Luo says. As human knowledge and wisdom are internalized into model capabilities, what will humanity pursue in the future? Is our society truly ready for this tsunami-scale technological revolution? All in all, this is an information-dense dialogue. It reveals how an AI lab makes strategic technical bets, allocates resources, and adjusts organizational structure and team planning amid a major paradigm shift. At the core of its response to drastic change lies its established culture and core values. Though lengthy and technically intensive, we hope this conversation brings great insights to every viewer. Our podcast, video episode and article are released simultaneously across platforms, with English subtitles provided to assist non-Chinese-speaking audiences. Luo Fuli: OpenClaw, Agent Frameworks — The AI Paradigm Has Already Chang... 来自 @YouTube

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 及 @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。