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I’ve seen some confusion about USDM supply, which is dropping on many dashboards. TLDR; this is healthy for a new ecosystem right now. But the explanation is long (although not complex): We always talk about “money” as if that’s a simple definition but economists have multiple definitions, each measuring a different set of assets considered part of the money supply. You may have heard terms like M1 money supply or M3 money supply if you read financial news a lot or took economics in school. At the bottom of the stack, the narrowest definition is M0 (which stablecoin issuer @m0 takes its name from). This is physical currency + your banks’ balance at the central bank. ⬆️ This is what most dashboards will show you for a stablecoin’s supply, because it’s relatively easy to count. Just add up the tokens, and of course central banks aren’t generally holding untokenized balances at Circle or Tether or Paxos. While this is a useful number, it excludes most of what we would in everyday usage call “money”. M1 is the next layer in the money stack, and includes M0 + demand deposits. When you say you have $500 in your checking account, you’re including M1 in your definition of money. ⬆️ This is where a deposit into @aave, @Morpho, or other short-term markets sits in the money stack. Quickly going through the other layers for your own curiosity: M2 = M1 + savings accounts + money market funds M3 = M2 + time deposits + repo agreements + short-term debt (usually up to 2 years) As of today, the M1 supply of USDM > M0 supply. Generally this is always the case with any currency, since it is what happens when fractional reserve lending, like on Aave, Morpho, Euler, Compound, or a traditional bank occurs. In the case of USDM, the M0 supply has shrunk while M1 has continued to grow. And remember that M1 cannot unwind without M0 (but can persist without it as long as the debt is healthy). This is due to a cross-chain carry trade. USDM has become a more attractive funding currency than USDC, and debt is being refinanced. This should be good news to those worried about USDM demand being purely for looping on the MegaETH Aave - it’s a second use case. Because Aave rates rise as utilization increases, at some point USDM will cease to be a good funding currency, and we’ll be at an equilibrium. This is growing pain of a healthy path for a new stablecoin (what’s the alternative, that no one wants to even borrow it?) - and is mostly a function of concentration on the Aave market. As USDM is accepted into other apps and another lender or three steps in for a piece of the market, I would anticipate less volatility in M0 supply of USDM, while M1 continues to grow at a more sustainable pace.
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[ #Piece_Of_Today# #💚# ] 이번 주 주간아이돌은 GOT7🐥 This week's Weekly Idol is GOT7🐥 #GOT7# #갓세븐# @GOT7Official #IGOT7# #아가새# #GOT7_BreathofLove_LastPiece# #GOT7_Breath# #GOT7_LASTPIECE#
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In 1990, the World Wide Web was invented on Steve Jobs' computer. Steve ignored it. This is the story I tell in my new book Steve Jobs in Exile. Here is what it should tell the rest of us about the moment we are in now. Steve was running NeXT, an unsuccessful computer company. He had been pushed out of Apple five years earlier and was burning his fortune trying to build a successor to the Macintosh. The machine NeXT sold was a matte-black magnesium cube -- expensive and beautiful and not selling. In October of that year, on the other side of the Atlantic, a British physicist named Tim Berners-Lee took delivery of a NeXT Cube at CERN, the physics laboratory on the Swiss-French border. He used it to invent the World Wide Web. The web ran on the Cube for its first year of existence. The revolution was happening on Steve's hardware, and yet Steve ignored it. Here is the question I keep thinking about from my book. If Steve Jobs, the most visionary tech mind of his generation, missed the Web, the most civilization-shaping tech of his lifetime, how are the rest of us supposed to see anything coming? Berners-Lee had been asking his boss at CERN for a NeXT Cube for months. His boss finally signed off, hoping to test the exotic Cube. "He suggested that I should buy one of these NeXT machines I'd been talking about so enthusiastically," Berners-Lee later told Fresh Air. "And if we needed a sort of test project to run on the NeXT machine ... 'Why not just do this hypertext thing you're talking about?'" The "test project" evolved into the World Wide Web. The problem Berners-Lee was trying to solve was not a glamorous one. CERN employed thousands of scientists from over a hundred countries, most cycling through on short assignments and taking their knowledge with them when they left. Berners-Lee was trying to keep institutional knowledge from walking out the door. He wanted a system that worked the way human memory does, where any piece of information could connect to any other without permission or central control. Through late 1990, he coded in his gray-floored office. The Cube's object-oriented system let him build in months what would have taken a year on anything else. By December, the first website went online. The World Wide Web now existed, running on a single black NeXT Cube in CERN's Building 31. Berners-Lee scrawled a warning on it in red ink: "This machine is a server. DO NOT POWER IT DOWN!!" Underneath the elegant interface he was building HTTP, HTML, and the server software that would deliver web pages. These three inventions would form much of the invisible plumbing of our modern connectivity. When a colleague of Berners-Lee's brought a demo of the Web to NeXT's headquarters in California, he could not get anyone there to pay attention. Nobody even dared show it to Steve, afraid he would dismiss it. NeXT was busy with its own internet plans, which Steve eventually killed. So back to the question. If Steve Jobs missed the web, how are the rest of us supposed to see whatever comes next? The honest answer is that we cannot. Nobody can. The rest of us are not going to outpattern-match Steve Jobs. But here is what I learned writing Steve Jobs in Exile. Transformations almost always begin in obscurity, on the margins, solving boring problems with boring tools. The web did not look revolutionary in 1990. It looked like a tool for sharing physics papers. We are in another such moment now. AI is the obvious changemaker. But the biggest transformations are rarely the obvious ones. The next one is happening somewhere right now, and it is trickier to spot than any sweeping proclamation about AI. We will recognize it, if we recognize it at all, from the unglamorous work few people are focused on. I will not speculate on what Steve would have made of AI today. But if he could miss the Web, the rest of us are going to have to look harder. Photo of the original CERN NeXT Cube courtesy of Robert Scoble.
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[ #Piece_Of_GOT7# #💚# ] Did you have a great Friday Night with GOT7?🔥 OUT today because of Perfect GOT7👏 #GOT7# #갓세븐# @GOT7Official #IGOT7# #아가새# #GOT7_BreathofLove_LastPiece# #GOT7_Breath# #GOT7_LASTPIECE# #2020KBSSongFestival#
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Two weeks ago, Ethereum researchers met in Berlin to continue charting the protocol's long-term trajectory, following along discussions with client teams in Svalbard in April. The updated strawmap is at and I attached a picture of it to this post. My own high-level takeaways: * "Lean Ethereum" is not a single one-shot upgrade, it is a collection of improvements that will come online to the Ethereum network over the course of three or four years. But make no mistake, this IS the third major iteration of Ethereum in the same way that the Merge was the second. Almost every major piece of the protocol will be replaced: - Verification through recursive STARKs, rather than direct re-execution. Recursive STARKs become an enshrined first-class core component of the protocol - Replacing everything quantum-vulnerable with quantum-safe alternatives - Consensus: decoupled available chain and finality, one or two-round finality. Theoretically optimal security properties, simpler than today, and faster than today - Multidimensional gas - State: not just tree structure, but what *types* of state are available - Changes to client architecture ... At the same time, simplification, cleanup and future-proofing. And this will all be done in a way that minimizes disruption to existing application. We've done this before (the Merge), we can do it again. * H-star (aka Hegota) is probably Ethereum's last thematically "pre-Lean" fork. Starting from I-star, most of everything we do will have a very strong "Lean" feel to it in one way or another. * Privacy is no longer an afterthought, it is a first class goal. When designing Frames, the mempool, additions to the state tree, we explicitly ask the question "okay, how do quantum-safe, intermediary-free privacy protocol transactions go through this, and what is the overhead?" * Formal verification of everything for security. * FV also makes us much more comfortable with canonicalization (having pieces of the protocol that are directly defined as a piece of bytecode expressed in some language). evm-asm is being written in part to become a canonical proof system for the EVM. * Quantum safety has shifted up a LOT in priority. This adds a lot of work (eg. finalizing a quantum-safe blobs design has become urgent; this work has already been ongoing for months) * Probably the single most disruptive part of the plan is the changes to state. There is growing consensus around leaving present-day-style "dynamic state" mostly unchanged, but scaling it only a medium amount, and adding new types of state that are more scalability-friendly (eg. no need for builders to sync/store all of it) but more restrictive, and that will scale a large amount. eg. possible Ethereum in 2030: 2 TB of present-day-style (dynamic) state, and 100 TB of new-style (scalable but restrictive) state This "new-style" state would work very well for ERC20s, NFTs, many defi use cases, but not eg. highly "central" objects like Uniswap contracts, or onchain order books, or other complex things (which are crucial for Ethereum but which only take up a small percentage of state) Hence, it will not be *necessary* to rewrite any apps, but it will be *very cost-effective* to eg. rewrite an ERC20 token into a newer design that uses a new type of UTXO storage that is currently being explored, so that it will have >10x lower txfees. Design of these new state types (current ideas: keyed nonces, ring buffers, UTXOs, statically accessible state, temp state) is an area where we will need a lot of feedback from application developers (incl. privacy-friendly application developers) and probably several rounds of rethinking and iteration. * In the context of a much larger total state size, we need to figure out the incentive issues around who stores this state and what motivates them to. Even saying "each node stores 1%" is not good enough - why do they store that 1% and why are they willing to serve it? This is being elevated as a first-class research area. * Ethereum will need to have a "VM" other than EVM in one form or another - at the very least, we need something like leanISA for recursive STARKs - and the gains are large in exposing it to users so that we support programmable privacy and better scalability. Right now, the most likely contenders are leanISA and RISC-V. My own ideal is that in this world, we adjust the protocol so that the EVM becomes a high-level-language compiler-level feature, and the protocol only "sees" RISC-V / leanISA directly. But this is still far away. * Gas limit increases, blob increases and slot time decreases will happen many times over the next ~5 years. We expect a large gas limit increase with Glasterdam. Each step of increased scale or decreased slot time is a matter of getting to the point where it is safe to do it, which comes from a combination of client optimization and protocol changes. Ethereum is CROPS. Ethereum is scaling. Ethereum is reinventing itself. Onward.
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我今天听说一片姨妈巾45元 你们说是真的吗? 那我这种水平一次要用1000多元啊 I heard today that a piece of aunt's towel is 45 yuan. Is it true? At my level, I need to use more than 1,000 yuan at a time.
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I ran across this video a few days ago and couldn’t stop watching it. It’s about something ordinary & boring, a plastic gas lighter. But it changes how one thinks about manufacturing. That lighter in so many of our homes, holds pressurised gas. It has over 30 microscopic parts, has to pass international safety codes, & travel 10,000 miles by sea, & the total cost of doing all that, materials, labour, freight, every middleman along the way, comes to fifteen U.S cents. So how does anyone make money on this? Turns out almost the entire world’s supply comes from one place: a county called Shaodong, in China’s Hunan province. It wasn’t always there. But today, Shaodong has 114 lighter-related companies packed into the place & between them they source more than 200 different components from each other, all within a 20-kilometre radius. They supply something like seventy percent of the world’s disposable lighters. And the industry alone employs over 80,000 people locally. Nobody there is winning on cheap labour anymore. They’re winning by shaving a thousandth of a cent off the thickness of a plastic wall, or redesigning a base so a few thousand more units fit into the same shipping container. It took my thoughts back to an old professor of mine, Michael Porter. His 1980 book, Competitive Strategy, is still the 1st book most MBAs read, the one that gave the world the Five Forces and basically invented modern strategic thinking. But there’s a quieter piece of his work, on industrial clusters, that never got nearly the same attention, and it is the one that explains exactly what is happening in Shaodong. His argument was that nations and regions rarely win because of cheap inputs. They win when rival firms and specialist suppliers crowd into the same small geography for long enough that they keep pushing each other past what any one of them could manage alone. He found it in the Swiss watchmaking towns of the Jura, in the German printing press industry and in Italy’s ceramic tile and footwear districts (interestingly, it’s the SAME blueprint which built Morbi, in Gujarat, into the world’s second-largest ceramic cluster, now outproducing Italy by volume. I have posted before, about Morbi) None of these started out as giants. The neighbourhood made them giants. Which is exactly why it’s so relevant to India’s climb up the global manufacturing table I’ve also attached a slide with this post that I saw recently and which shows us breaking into the top 5 manufacturing globally. (A quick reference check told me that we may not have overtaken Korea yet, but the trajectory’s clear) That climb has happened on the back of scale: bigger plants, bigger parks, more FDI. I should declare an interest here, because the Mahindra Group set up 2 of India’s first integrated, plug-and-play business cities, in Chennai in 2002 & Jaipur in 2006. Both have been extremely successful. Chennai’s business zone alone today employs 45,000 people.. But I admit that we need to think differently. A park brings in investors and hands them a ready plot, power, water & roads A cluster is a completely different animal: hundreds of small, specialised suppliers, each obsessed with doing a tiny thing better than anyone else, feeding off each other’s presence for years until no outsider can compete with the whole. I think that’s the work ahead of us now. Not just more factories, and not just more parks. Policymakers & developers like us need to start consciously pulling as many of the inputs and resources a sector needs, the toolmakers, the component suppliers, the testing labs, the logistics specialists, into the same neighbourhood. Shaodong and Morbi both got there by accident, one town stumbling onto a way to shave a thousandth of a cent off a lighter wall, the other discovering it had the clay and, later, the gas pipeline for tiles. We don’t have the luxury of waiting for accidents anymore. We need to do it on purpose
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Today, SpaceX goes public! For investors and enthusiasts alike, this is an opportunity to own a piece of the company that will continue to take space exploration and humanity to the next level.
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Masayoshi Son has been right twice in a way that changed the world and he is making the same call again (Save this). Alibaba, $20 million in 2000 turned into $130 billion. ARM, bought for $32 billion in 2016 when the market thought it was a smartphone chip business, now the architecture underneath every major AI chip being built today. Now he is saying AI is 50 times bigger than the dot-com era and he is not concerned about corrections. He says if there is one, that is the best buying opportunity of the decade. When asked where the next trillion-dollar company comes from, he says it's in physical AI and in robotics. Masa has spent three years assembling every piece of the stack required to own this category. SoftBank holds 90% of ARM, the architecture inside every major AI chip deployed globally today, including Nvidia's Vera CPU, Amazon Graviton, Google Axion, and Microsoft Cobalt. Every robot running edge inference will almost certainly run on ARM. SoftBank completed a $40 billion investment into OpenAI in late 2025, making it the largest external backer of the company building the cognitive layer that physical robots will run on. In October 2025, SoftBank acquired ABB Robotics for $5.4 billion, one of the most mature industrial robot manufacturers in the world, deployed across thousands of factories globally. SoftBank then created Roze AI, consolidating its robotics investments with a target $100 billion IPO already in process with Goldman Sachs, JPMorgan, and Morgan Stanley as underwriters. The market is beginning to confirm the thesis. The humanoid robot market was roughly $3 billion in 2025 and Barclays projects it reaches $200 billion by 2035 at a 48% compound annual growth rate. SoftBank is the most complete expression of the physical AI thesis available in public markets today, ARM for the chip royalties, OpenAI for the cognitive layer, ABB for manufacturing, Roze AI for the robotics platform, and Stargate for the compute infrastructure underneath all of it. Son has not just identified the next wave and has built the stack to own it before the market agrees with him. Come join Milk Road Pro and get our full physical AI breakdown which names we're watching across the robotics stack and our full AI thesis. Link below
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Great to be back at Microsoft Build today. For us, it is not about any one piece of technology or even the platform. It is about how we can build a frontier intelligence ecosystem together. Sharing some of our big announcements today ...
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