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Four Leaders, One Vision: Adani Group Maps Out Succession Adani Group’s next-generation leadership structure brings together Pranav, Karan, Sagar and Jeet Adani under the G2 Leadership framework. Pranav focuses on urban infrastructure, natural resources and communications; Karan on ports, logistics and cement; Sagar on energy, transmission and finance; and Jeet on airports, AI, data centres, defence and metals. The transition comes as Adani Group operates across 20+ business verticals with nearly ₹3 lakh crore in FY26 revenue and over ₹17 lakh crore in listed market capitalisation.

Drawing an uncompromising direct parallel to commercial aviation, Elon Musk underscores why partial rocket reusability remains an incomplete economic solution for space logistics. While Falcon 9 proved that recovering first-stage boosters drastically cuts launch costs, discarding the upper stage on every mission is the capital equivalent of scrapping a commercial airliner after a single transcontinental flight. ✈️ Achieving 100% full and rapid reusability with Starship—recovering both the Super Heavy booster and the upper stage—drops the capital expenditure per mission near the marginal cost of propellant alone. 🚀 By converting orbital hardware into rapidly turn-aroundable transport infrastructure, full reusability fundamentally lowers the cost-per-kilogram barrier to orbit, turning spaceflight from an expensive luxury into an accessible, high-cadence commercial standard. 🌐⚡

NEW: Stord’s $3B Bet on Robotics, AI & Physical Infrastructure From Thiel Fellow at 19 to building a $1B+ revenue business Founder & CEO Sean Henry (@seanhenry) @GetSTORD stats: › 100M packages/year › ~$20B in GMV › $1B+ revenue this year, after 10Xing in 4 years › 8B operational data points The goal is to level the playing field with Amazon Prime for the other 2/3 of commerce on the internet. I sat down with Sean in Cap Ferrat to talk about the company's $250M Series F, its massive bet on robotics & AI, plus why he believes the biggest value from this technology may ultimately accrue to physical businesses, not the AI and robotics companies themselves. We get into: › The data advantage behind 100M packages a year › Why humanoids may be the wrong form factor for warehouses › How acquisitions & vertical integration are accelerating Stord's scale › Going from Thiel Fellow at 19 to building a $1B+ revenue business Sean also explains the flywheel behind Stord: more volume creates greater density, lower costs and faster delivery, which in turn makes the company more competitive as it scales. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Sean Henry, Founder & CEO at Stord (00:41) What Stord is building in logistics (02:42) Why robotics is finally ready for the real world (04:37) How Stord is teaching robots to work (06:09) Do humanoid robots actually make sense? (07:20) Why owning the whole supply chain matters (10:01) The problem that started Stord (11:53) The Thiel Fellowship lesson: Build a monopoly (13:10) Hot take: Why AI and robotics will become commodities

🦔Someone is buying Japanese used books by the ton. Not novels or comics. Philosophy, history, medical law, Edo-period cultural texts. Multiple buyer accounts all ship to one logistics center in Okayama Prefecture that won't answer questions. Export records show over 50 tons, roughly 100,000 volumes, shipped to the US since last year. No buyer has been identified. Separately, court documents confirmed Anthropic's "Project Panama" bought millions of books in the US, cut the spines off, scanned them, and shredded the originals. An internal memo said the goal was to "destructively scan all the books in the world." Similar operations have been reported across Europe. My Take Anthropic's US book operation came out in court filings earlier this year. Project Panama. Millions of books, cut the spines off, scanned, shredded. Their VP chose the codename so nobody outside the company would find out. That story broke and apparently the same operation just moved to Japan. Anonymous buyer accounts, a warehouse in Okayama that won't take questions, and 100,000 volumes of specialized academic texts that nobody buys to resell. I don't know how you build a trillion-dollar industry on material you had to acquire in secret through middlemen because you knew the public would object. Authors spent years on those books and now they're fed through a scanner and thrown away so a chatbot can sound smarter. If the data was free to use, they wouldn't need codenames and anonymous warehouses. The lawsuits over who owns this material have barely begun and I think the copyright exposure across the whole AI industry is enormous. Anthropic's internal memo said the goal was every book in the world, which describes the foundation of the product. Hedgie🤗

Tesla Semi Pre-Reveal Revealed! Excited to share this segment of the drone flight one day prior to the Tesla Semi Reveal event. They have added branding to several Tesla new generation semis. Including: Pepsico US Foods Einride LTS Nevoya OK Produce ABF Freight DHL WattEV IMC Logistics HMD Some of these we knew about and some are previously unknown. @tesla_semi @danWpriestley

The 3rd China Railway Express (Zhengzhou) Expo officially opened on August 26th in the Zhengzhou Airport Economy Zone, running for three days! #ZAEZ# #Zhengzhou# #BeltAndRoad# #Logistics# #Trade# #Henan#

After so many demos, models, pilots, robots are still struggling to land real deployments with real customers. Until now. Today we’re excited to share that our robots have successfully crossed the ROI threshold, and Din Tai Fung, one of the highest revenue per location restaurant chain in the US, is rolling out Dyna robots across its extensive restaurant network. This brings our rollouts across hotels, logistics, data centers, and many other use cases to a fleet that reaches hundreds of robots by the first half of 2027. And we’re just getting started. It’s been a wild year, and today we’re double clicking on the battlefield stories and sharing a few learnings about scaling robot deployments. We are just scratching the surface. Read the full blog post:

⚓️ Ethra Ship Notes｜Vol.050 Today, I came across a number that made me stop. Nearly 1,900 vessels are now considered part of the maritime "dark fleet" according to Windward, roughly tripling since the Russia-Ukraine invasion. The interesting part isn't just the number. It's what the number tells us about visibility. A ship can disappear from AIS. That doesn't mean the ship disappears from the ocean. It just disappears from one information layer. And that's a very different thing. This is where I think Sea Verity's approach gets interesting. Instead of asking a single system to tell us the truth, it combines different sources. Reporters on the ground. AI analysis. Controller nodes. Each piece adds another layer of evidence. And rather than forcing every observation into a simple "true" or "false", the system is designed around confidence scores. I like that approach. Because the physical world rarely gives us perfect information. A satellite image can be obscured. A reporter can only see part of a vessel. AIS can disagree with visual evidence. Weather can make everything harder. The honest answer isn't always certainty. Sometimes it's: We're 90% confident this is what happened, and here's why. That's much more useful than pretending the other 10% doesn't exist. For insurers, traders, logistics companies and regulators, knowing the confidence behind a piece of maritime intelligence could be just as important as the information itself. The ocean is enormous. Maybe the answer isn't one perfect signal. Maybe it's many imperfect signals learning how to verify each other. @EthraShip #EthraShip# #EthraShipProtocol#

Geography is becoming a competitive advantage again. For decades, manufacturing chased the lowest cost. Today it's chasing resilience. Supply chains, energy security, logistics, technology, and geopolitical stability are reshaping where companies invest and build. Türkiye is positioning itself at the center of that shift—but long-term success will depend on productivity, innovation, and price stability, not geography alone. The next manufacturing leaders won't be defined by cost. They'll be defined by resilience. This content is provided for informational purposes only and should not be considered investment advice.