7x7x7 Express : Agentic AI Edition (7 women, 7 use cases, 7 mins each)

Arbitrum Founder House Singapore 🇸🇬 In collaboration with Robinhood Chain Please note: Applications are open. If you see "Join Waitlist," the event is not full. It simply means Founder House is a screening-based program. Click Join Waitlist to apply for one of the 120 Founder House spots, and selected applicants will be approved after their application is reviewed. Open House brings together founders and teams building the next generation of onchain businesses. Following editions in New York City and London, which engaged 2,160 builders across online and in-person activations and received 177 and 273 project submissions respectively, Open House is coming to Singapore. The program began with a global online Buildathon from September 14 to October 4, followed by Founder House Singapore, an application-only, three-day experience for founders with an existing product, prototype, or business. Founder House gives selected teams focused time to build, test their direction, and connect with the Arbitrum ecosystem. Note: This form is for Founder House applications only. 📅 Online Buildathon: September 14–October 4, 2026 📅 Founder House: October 23–25, 2026 📍 Singapore About Founder House Founder House Singapore is part of Arbitrum Open House, in collaboration with Robinhood Chain. It is designed for founders who are already building and are ready to make meaningful progress on their product. Over three days, selected teams will build alongside other founders, receive feedback from mentors and ecosystem participants, and work through product, technical, and go-to-market challenges. Come with an existing project. Use Founder House to build or launch a meaningful new feature, validate a key assumption, and leave with a clearer path forward. Prizes and Grants Founder House participants will have access to $300K in prizes and grants across several opportunities: General Builder Track: $120K in prizes for three standout teams building innovative products on Arbitrum and Robinhoo

DISCLAIMER: NOT FINANCIAL ADVICE Casual run of about 3.5km - 4km. Hais, seems like there isnt a a community run group on bitcoin in Singapore. Please visit below page to sign up (Dont pangseh hor). It is the only way I can filter out the bots. There is always more things to learn about Bitcoin. One of it being low time preference. The group welcomes anyone who is interested in knowing more about saving in bitcoin or simply just want to join us to have a good run.

Singapore manages around S$6 trillion, and 88% of it is already invested offshore. Australian managers bring income that travels and the growth most family offices say they are missing. This is where you meet both. Join 350-plus family offices, professional investors and managers for one day in Singapore. Attendance is curated for wholesale, sophisticated and professional investors. Learn more: yieldandgrowth.wholesaleinvestor.com/singapore --------------------------------------- Secure your seat Now- Early Bird rate available --------------------------------------- Why now 88% of Singapore-managed assets are already invested offshore. Your capital is already global by default. You’re looking for quality income and growth regardless of borders. We are bringing both the Australian and regional yield and growth strategies that fit where your capital is already going. Private credit is the fastest-growing alternative in the market. Australia is a deep, accessible source of it, and of the growth that family offices are under-allocated to. The gap is in growth. 65% of family offices prioritise AI as an investment theme, yet 57% hold no venture or growth allocation. They want the exposure. Most do not own it yet. Two engines, one room The yield engine. Australian and regional private credit, real estate credit, listed income and yield ETFs. Income that already travels across borders. The growth engine. Australian and regional private equity, venture, growth and a curated group of innovators in deep tech and life sciences. The direct venture access that most family offices say they are missing. What you will leave with 20+ curated opportunities: Screened Australian and local yield and growth opportunities, including the venture access family offices are trying to find. A clear read on sourcing offshore: Leading Australian managers on income and growth from a quality market, in one room. A room of 350+. Family offices and professional investors from Singapore and the br

As intelligence moves into the physical world, technical breakthroughs are only the start. Building scalable companies takes the infrastructure to move from simulation to deployment, and founders who can turn new capabilities into products people will adopt. Amazon Web Services (AWS) and Liminal are bringing together founders, builders, and operators across that frontier to explore what's already being built, what it takes to deploy Physical AI at scale, and where the next generation of companies could emerge. Drawing on AWS's experience powering Physical AI workloads and Amazon's deployment of more than 1 million robots, alongside Liminal's experience co-building with top-flight founders and entrepreneurial scientists, we'll explore the technology, companies, and people shaping this next wave. What to expect: Why Physical AI, why now Why Physical AI could represent the next major platform shift after generative AI, and what's making it possible now. From simulation to deployment What it takes to move intelligent systems from controlled environments into the physical world. Who builds what comes next What to look for in founders taking on technically difficult, category-defining problems. Physical AI in action Meet startups building at the edge of Physical AI and see their technology in action.

What does it take for AI-powered robots to work in the real world? From robots that can reason across different tasks, to models that translate what they see and understand into actions, AI is expanding what robots can do beyond controlled environments. But building robots that can operate reliably in the real world requires more than better models. They need to reason and plan, remember what has happened, respond to changes around them, and act reliably despite constraints such as latency, connectivity, and uncertainty. Together with IMDA, we are bringing you an AI Wednesdays × Technical Sharing Session edition focused on AI and robotics, exploring the models, systems, and infrastructure shaping how intelligent robots are built and deployed beyond the lab. More About the Sharings Soujanya Poria (Associate Professor, NTU) will share on “Beyond Better Actions: What Generalist Physical Agents Still Need.” What will it take to build robots that can perform many different tasks across different environments? Soujanya will argue that the challenge isn't simply collecting more robot data. Large language and multimodal models can already reason and plan, but physical agents must coordinate that slower reasoning with fast control, remember what happened earlier, and know when they need more evidence before acting. He'll explore this through three pieces of work: GE-Act 2.0, a world action model pretrained at scale; MemBodied, which adds persistent memory to vision-language-action models; and RoboQuest, a long-horizon benchmark that separates failures in evidence gathering, interpretation, planning, execution, and verification. Together, these point towards a different challenge for generalist physical agents: coordinating fast control, persistent memory, and higher-level planners that know when to gather more evidence, replan, and check their own work. Raphael Yee (Director, Griffin Labs) will share on “Griffin Alpha.” Raphael will share how Griffin Labs built Griffin Alph

AI coding agents are writing more of your production code every quarter. Writing code has become cheap. Knowing that it works hasn’t. Geoff Huntley, creator of the Ralph Wiggum loop and Field CTO at Antithesis, has spent the past year taking engineering teams around the world through what changes when agents do most of the typing. His view: the models are no longer the constraint. What’s left for engineering teams is vision, verification and agency. This evening is for the leaders who own the consequences. We’ll talk about: What your engineering organisation looks like when agents write most of the code Where AI-written code fails in production, and why existing tests and code review miss it How teams are rebuilding confidence in what they ship without slowing down It’s a short talk, then an open conversation. There’s no pitch and no panel. Who it’s for: Engineers and engineering leaders who care about building software that works. We’re keeping it to about 50 people.