🎤 @XRPSEOUL 2026 Highlights | Panel "Bringing Stablecoins into Everyday Finance" How stablecoins can move from trading into everyday payments, banking and cross-chain finance. 🗣Speakers: • Moderator: Lacey Wisdom (@lacey_wisdom), General Partner at @plcapital • Leo Lee, Manager at KakaoBank • John Lilic (@johnlilic), CSO at @useTria • Fig (@ecdsafu), Co-founder at @squidrouter 🔎 Key Takeaways: 1️⃣ Local-Currency Stablecoins & Remittances Establishing local-currency stablecoins (such as KRW-backed tokens) is crucial for preventing local capital flight, eliminating double FX conversion fees for consumers and merchants, and unlocking seamless global money transfers. 2️⃣ Abstracting Web3 Friction for Retail Projects must abstract gas fees and multi-chain complexities in the background, adopt traditional banking terminology instead of crypto jargon, and replace cumbersome seed phrases with familiar Web2 authentication like email and 2FA. 3️⃣ Bank-Tech Synergy & Monetary Sovereignty Building mainstream trust requires blending bank-level reserve management and regulatory compliance with startup technical agility. As USD stablecoins scale toward a trillion-dollar market cap, nation-states will increasingly prioritize local-currency stablecoins to preserve monetary sovereignty, while stablecoins serve as the foundational liquidity rail for tokenized RWAs. 💡 The Takeaway Transitioning stablecoins from speculative trading to everyday finance depends on removing technical barriers for everyday users, launching compliant local-currency stablecoins to cut cross-border friction, and combining bank-grade trust with agile Web3 infrastructure. Hosted by @XRPLKorea

NVIDIA $NVDA CEO JENSEN HUANG JUST ANNOUNCED NEW INVESTMENTS IN 4 GERMAN 🇩🇪 STARTUPS They're part of Nvidia's nearly $10B commitment across Europe 🇪🇺 - Agile Robots: AI robots and a humanoid for factories, logistics, and healthcare - Avelios Medical: AI-native software that runs hospitals - Mirelo: AI that creates sound effects, speech, and music for video - Reflex Aerospace: satellites ready to launch in about 12 months

One of the most compelling parts about working at an ElonCo was the agility to pivot to whatever the most important problem was. One day I said: I wasn’t hired to go after spam, but a tsunami is coming and I’m going to drop everything to focus on that. The org is so flat and agile that your title is basically meaningless. Anyone can sound the alarm about a problem and solve it themselves—or rally the team to join them. This is how startups work but it’s very hard to make it work in a larger company.

Stats time! Humanoid robot startups raised $8.6B this year. Almost none of them ship robots. The company shipping 44% of the world's humanoids is worth a fraction of the one still running pilots. Here's the humanoid money board, valuation vs what actually shipped: 1. Unitree. ~$53B market cap. $235M revenue in 2025, sells humanoids from $5,900. IPO popped roughly 460% in August. 2. Figure. $39B. A BMW pilot that has handled 90,000+ parts. 3. Skild AI. $14B+. Software only. No robot. 4. 1X Technologies. ~$10B reported. 10,000 preorders for its home robot in 5 days. 5. NEURA Robotics. ~$7B. Roughly a €1B order book. 6. Physical Intelligence. $5.6B, in talks at $11B+. Foundation models, no hardware. 7. Apptronik. ~$5.5B. Mercedes and GXO pilots. 8. UBTech. ~$5.4B. 1,079 humanoids shipped in 2025 to Foxconn, BYD and Airbus. 9. AgiBot. ~$5-6B IPO range. 8,400 units shipped in H1 2026. 44% of the world's humanoid shipments. 10. Galbot. ~$3B+. Autonomous stores in 30+ Chinese cities. 11. Agility Robotics. $2.5B. $300M+ in booked revenue and ~1,000 robots under contract. 12. Fourier. ~$800M. Eldercare humanoids in hospitals. Read it again. Figure is worth 16x Agility. Agility has the booked revenue. And the world's number 1 shipper, AgiBot, is worth about a seventh of the company still in pilot phase. America raises. China ships. The market has not decided which one wins. Valuations as of Aug 26, 2026, per press reports. Estimates and in-talks figures marked on the graphic.

My friend wanted to launch an AI startup in Germany I told him Europe is one of the best places in the world to build startups All he had to do was: 1. Register the company 2. Notarize the incorporation documents 3. Deposit the minimum share capital 4. Register the beneficial owners 5. Appoint a data protection officer 6. Complete an AI risk assessment 7. Prepare a GDPR impact study 8. Complete a cybersecurity audit 9. Register for VAT 10. Obtain professional liability insurance In just 24–36 months he will be ready to start building his product “But by the time I finish all this, American competitors will already have launched” I looked at him confused “You cannot rush innovation at the expense of proper regulation” This is why precisely Europe leads in AI