Fintech has moved from disruption to scale and regtech is now essential infrastructure. We're proud to be named to @CNBC's World's Top Fintech Companies 2026 list in the newly launched Regtech category. See the full list here ➡️

🎬 PhotonPay: In Conversation | Compliance is no longer just back-office — it’s a tech-driven enabler for global payments. 🛡️ Join our CCO JP Pey as we discuss: 🔹 Turning regulatory frameworks into a competitive advantage 🔹 Dynamic risk scoring 🔹 The future potential of Agentic AI in RegTech Watch how we build for secure, scalable growth. 👇 #PhotonPay# #GlobalPayments# #Fintech# #Compliance# #RegTech# #AI#

Tencent Cloud × UTM AI Hackathon 2026 Demo Day: 📅 Thursday, 13 August 2026 📍 UTM Kuala Lumpur Hi everyone! After reviewing all the amazing submissions, we’re excited to announce the finalists selected to pitch live at the Tencent Cloud × UTM AI Hackathon 2026 Demo Day: 🏆 AI Track Finalists ! 🏆 🤖 Team 1: Mindforge — A Multi-Agent Executive Copilot for Proactive Business Decision-Making 🤖 Team 2: Q-Check Secure — Q-Check Secure: AI Scam Shield 🤖 Team 3: Klantech — Regskill AI 🤖 Team 4: SURE_WIN — AduanFlow AI 🤖 Team 5: Lady Bugs — KPI Nexus 🤖 Team 6: Machine NOT Learning — TUNTAS 🤖 Team 7: Der Liliputaner — Lega: AI Banking Dispute Resolution Team 🤖 Team 8: YXLJPZ — RegTech Orchestrator 🤖 Team 9: Hashtag Sugoi — ProActAI 🤖 Team 10: Sleep Well — Transafe 🤖 Team 11: Agent Forge — Argus AI 🤖 Team 12: Min Min — CASE ZERO 🏆 Gaming Track Finalists 🏆 🎮 Team 1: Untitled Team Name — THRESHOLD 🎮 Team 2: SOLO_LVL — The Enchoverse 🎮 Team 3: AI-CAVAN — Oh My Work! 🎮 Team 4: Baxia — Unsaid 🎮 Team 5: Unstoppable — Alien Friends: A Relational Intelligence Engine Congratulations to all the selected teams! We’re looking forward to seeing your solutions presented live to our academic, technology and industry judges 🚀 The Demo Day is open to all UTM students — come join us and see the finalists bring their AI ideas to life! Register to attend:

TRM is proud to be a to partner on the Cambridge Digital Innovation and Regulation Initiative’s ✨Global Agentic Regulator Hackathon✨ (July 8 – September 18, 2026). AI is outpacing public sector adoption, and the risks are growing. This hackathon brings global experts together to build trusted, deployable solutions. Open to: ▪️ Regulators ▪️ AI researchers ▪️ Academia ▪️ Financial institutions we ▪️ RegTech & SupTech Learn more and submit a concept note by August 9 at 12:00pm BST: @CambridgeAltFin #AgenticAI# #RegTech# #SupTech# #DigitalInnovation# #AIforGood# #CDIRHackathon# #AgenticRegulator# #AgenticFinance#

👀 Top Crypto Fundraising Last Week 1️⃣ Kalshi (@Kalshi) - $1.2B; Prediction Markets 2️⃣ Exa (@ExaAILabs) - $250M; API, x402 3️⃣ Variational (@variational_io) - $50M; DEX, Perpetuals, Options 4️⃣ SignalPlus (@SignalPlus_Web3) - $40M; CEX, Perpetuals 5️⃣ Dust (@DustHQ) - $40M; Developer Tools 6️⃣ PopDEX (@popdex_) - $30M; DEX, Perpetuals 7️⃣ Catena Labs (@catena_labs) - $30M; Payments, AI, AI Agents 8️⃣ TownSquare (@TownSquarexyz) - $16M; Yield Aggregator, Lending, RWA 9️⃣ Eisen - $10.0M; RegTech 🔟 Checker (@checkercorp) - $8M; API

Open weights don’t need full parity with frontier labs. They only need what I call “pleb parity”: get close enough on high-value, high-volume task at a time, so 20 specialized plebs can divide the work and level the game against one elite. When you have a gang of equally talented, frugal and relentless Chinese AI founders, who stays #1# on the leaderboard matters less. What matters is that whenever one falls behind, another open-weight peer fills the gap very soon My simple mental model for Anthropic/OpenAI’s future ARR is the frontier-call ratio: Across an end-to-end business outcome, what % of steps still MUST call the most expensive frontier model? As plebs pushes that ratio down, pricing power and future ARR growth expectations get eroded. Think of the most elite revenue-generating team inside a company. How many seats truly need to be filled by Ivy/Stanford grads? AI stacks will look the same: frontier intelligence for the key steps where it materially changes the outcome; open weights everywhere else. The only domains I can think of with a real case for unlimited frontier-token budgets 1) Quant trading, mm and pod shops: RenTech, Jane Street, Point72 etc where raw intellectual horsepower can be translated directly into P&L 2) Ultra-high-stakes discovery: next-gen chips and materials, cancer drugs, etc. But even there, the upside/scale is limited by the even more scarce giga brain human minds to define the right problem and know where to tinker, not by token or compute For the rest of the world, and most knowledge-work domains, pleb parity is probably the long-term equilibrium. Long live the plebs. Kudos to every Chinese AI founder and engineer working against the odds to make it happen