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Fragmented liquidity is becoming a thing of the past. Meet unified tokenized stocks. • 40+ US stocks & ETFs, 24/7 • TradFi Perps for hedging • Trading bot support Now live in eligible regions:
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Dear ICP community, the Internet Computer has now been running strong for 5 years 👏👏👏 Here is a celebratory preview of ICP "cloud engines," the sovereign frontier cloud technology the network shall soon provide from Main points: — Cloud engines enable anyone to spin up their own sovereign frontier cloud. The technology involves an extraordinary inventive step, in which cloud is created from a mathematically secure network of nodes. The nodes run as part of the Internet Computer network ( but are selected and configured by the cloud engine's owner. — The frontier cloud provided by engines is strongly focused on enabling AI agents to build and update online applications and services for us. The world is changing fast, and nearly all new online apps and services are already being built with the help of AI, and thus cloud engines target the future of cloud. — Software hosted on cloud engines is tamperproof, which means that it is immune to infrastructure hacks, because it runs inside a mathematically secure network protocol, rather than on computers directly. This means that AI agents, and those building with them, don't need to have a security team in the loop, or to trust someone else's security team. This is crucial, because in the future, non technical people will demand the freedom to build with full automation — where they just need to issue instructions to AI about what to build, and don't need to worry about anything or anyone else. Of course, apps and services running on engines are also vastly safer from the new breed of hacker being enabled by frontier AI. (The cloud engines themselves are also "tamperproof." Even if a hacker gains physical access to some portion of a cloud engine's nodes, and can make arbitrary changes, the computations and data of the hosted apps and services cannot be corrupted or interrupted so long as the network's fault bounds aren't exceeded. The recent hack of Vercel, a major cloud platform, which gave hackers access to the apps it hosted, provides additional perspective on the importance of this advantage.) — Software hosted on cloud engines is guaranteed to run, so long as a sufficient number of the engine's nodes are running. This means that AI can build applications and services without the need to have a human systems admin team constantly tinkering with the underlying platform to keep it running, which is again crucial, because in the future, non technical people will expect the freedom to use AI to build without the support of others. — New frontier programming language technology, in the form of the Motoko language developed by Caffeine Labs, leverages seminal "orthogonal persistence" technology that unifies program logic and data to deliver further unlocks for AI (Motoko is the first computer language being developed that targets agents that are writing software rather than humans engineers per se). Nowadays, AI can build and update production apps at a prodigious rate, even at the speed of conversation. But it can also make mistakes, and there's a risk that an update it creates might be "lossy" in the sense it causes some transformed data to be lost. Again, in this new world, it's both undesirable and impractical for everyone to have to have a systems admin team on-hand to detect lossy updates and roll them back, but Motoko provides a solution: it can detect new software updates are lossy before they are applied, reducing potentially catastrophic errors by AI to harmless coding retries. — Software hosted on cloud engines is "serverless" but unlike traditional serverless software, directly it directly incorporates data through "orthogonal persistence." Another key purpose is simplify backend software logic and fuel the modeling power of AI by increasing abstraction (sorry for the technical language!!!). Put simply, this enables AI to produce more sophisticated backends, faster, and at dramatically lower costs, as measured by the number AI API tokens consumed during coding. (Tip for the technical: orthogonal persistence is a new paradigm where "the program is the database," and data lives inside program variables, which is possible because it's as if hosted software runs forever in persistent memory). — An expanding database of skills at shall make it possible to develop and directly deploy apps and services to your cloud engines directly from Claude Code, Perplexity, Codex and other AI platforms. Further, your account on can be connected, so that new apps and updates created through conversation automatically appear hosted from your cloud engine. In the future, R&D is going to be very seamless. You converse with AI, and your secure and unstoppable apps or services are created or updated. Cloud engines are designed to directly support this "self-writing cloud" future where we can work hands-free. — Tech sovereignty is becoming a huge issue worldwide, with governments and corporations seeking to create sovereign tech stacks owing to geopolitical tensions. Increasingly, people are realizing that tech provided by foreign nations can come with hidden backdoors and kills switches, from the base platform, right up through hosted apps and services. ICP technology is open source, and those building on ICP using AI own their own source code. When you have the source code, you can verify that there are no backdoors, and when you own the source code thanks to AI, you can update it at will, freeing you from vendor lock-in. But cloud engines take sovereignty much further... — You create a cloud engine by selecting the nodes that will be combined. You can choose the class of nodes used, and their number, but more importantly, you can choose who operates the nodes, and where they are located. Almost any configuration is possible, because the Internet Computer scales the security privileges afforded to hosted software within the network according to configuration (software hosted on cloud engines can directly interoperate with software on other engines and traditional subnets, but base restrictions are applied according to security rules). A cloud engine can be created within a region such as Europe, to comply with regs such as GDPR, or completely within a sovereign state like Switzerland or Pakistan. But cloud engines go further still... — Sovereignty is also about freedom from vendor lock-in. Cloud engines are essentially ICP (Internet Computer Protocol) network configurations, and this means the underlying compute nodes they combine can be swapped out without interrupting their hosted apps and services. This is a big deal. In addition, cloud engines now support nodes that are instances running on Big Tech's clouds, in addition to nodes that are dedicated specialized hardware, as per the Gen I and Gen II nodes that dominate the Internet Computer today. For example, it is possible to have an engine running across different AWS data centers, say, and then reconfigure the engine to run across a mixture of AWS, Google, Azure and Hetzner for even more resilience, without the users of hosted apps and services noticing a thing. That's true freedom. — Sovereign AI is becoming increasingly important too, and cloud engines allow special "AI nodes" to be added to them, so that hosted software can perform inference on hardware provisioned by the owner from a location the owner has selected. Even though the AI nodes are only accessible within the cloud engine, they can still benefit from the forthcoming Internet Intelligence Gateway (IG), which will make it possible to validate inference performed on key frontier open weights LLMs, even when the inference is performed on completely independent AI clouds. When the results of inference are received, this technology can verify that neither the prompt+context (input) nor the inference result (output) have been modified, and that the results were produced by the precise LLM expected. This ensures that AI clouds don't cheat by running inference on cheaper models than are being paid for, and bad actors aren't modifying the inputs or outputs to surreptitiously insert advertising into results, say, or change facts, or insert malware when code is being generated. What's super cool about this technology is the cost of the verification is scalable. A very valuable additional security can be achieved with only 1-2% of extra cost. — Scaling apps and services when they hit capacity limits is another thorny problem that cloud engines help the world address. Engines make scaling possible without rewriting or reconfiguring software. The query workload capacity of hosted software can be horizontally scaled simply by adding new nodes to an engine, and nodes can also be added in geographical proximity to demand. Meanwhile, update workload capacity can first be scaled-up by swapping an engine's nodes out for the next class up, and then when no larger class of node is available, horizontally scaled-out by "splitting" the engine into two, which doubles available capacity. (Technical tip: horizontally scaling update capacity by splitting engines requires multi-canister architectures). — For those who have been following how Caffeine builds apps that can efficiently store large numbers of files, I should mention that apps built on cloud engines will also support the new ICP Blob Storage cloud network (since cloud engines currently have up to about 3 TB of memory, which apps storing large amounts of files can easily exceed). We are also working on allowing blob storage nodes to be added to cloud engines, to enable sovereign mass blob storage within an engine, similarly to how AI nodes can be added currently. — Lastly, but certainly not least, I should mention that cloud engines are multi-blockchain capable, and ready for digital assets, thanks to the clever math at their core. For example, an e-commerce service built on a cloud engine can securely accept and custody stablecoin payments, or a multi-chain DEX could be hosted. Further, engines can support software autonomy (software orchestrated and controlled by other autonomous software, in a decentralized way) and can themselves be orchestrated by SNS technology, and thus run autonomously too. Today, though, the focus is on *mainstream* cloud. This year, the cloud industry will generate approximately one trillion dollars in revenue. That number is already huge, but is expected to grow to two trillion dollars by 2030. After years of continuous development, which have seen more than $500m spent on R&D, the Internet Computer network is now tacking directly toward this mainstream cloud market with cloud engine technology. In their first version, cloud engines are not meant to be a cloud panacea. For example, currently they are not ideal for working with big data. You should use something like DataBricks for that. Cloud engines are carefully targeted at enabling AI to produce traditional online applications and services, including SaaS, in a safer and more productive way, which represents a new market segment with tremendous potential. Of course, DFINITY will continue to work relentlessly to push forward ICP's capabilities, so expect further developments. It's worth mentioning that this cloud segment isn't just about creating new apps and services using AI, it's also about replacing legacy systems and apps built on super expensive SaaS services. Caffeine Labs is working to produce technology (Caffeine Snorkel) that can study an enterprise's legacy systems and app built on SaaS, create replacement systems and apps, and migrate the data, while supporting key stakeholders through the process over email and chat, with full automation. Thus the legacy systems and SaaS markets shall also be addressed by cloud engines. Zooming out, and reasoning in a more metaphysical way, we believe, as we always have, that there is room for a new kind of cloud created by mathematical networks, that provides seminal advances in the fields of security and resilience, as well as true sovereignty and freedom from lock-in. That this same technology, with the help of additional technologies like orthogonal persistence and Motoko, enables AI to build for us without the need for so much oversight, and to create more backend sophistication while consuming fewer AI API tokens, enables ICP to bring game-changing advances to the world. Cloud engines will work synergistically with the Intelligence Gateway, which will enable apps and services running on engines to seamlessly leverage AI, wherever that AI is running, while providing verifiability at extremely low cost for open weights frontier models. We believe that cloud engines represent an inflection point in the storied history of the Internet Computer project, and I'm very proud to be sharing the details with you on the network's fifth birthday 💪 I'll be back with more news soon!!
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象眠舎主催「Becoming a thing」 @ 丸の内COTTON CLUB ありがとうございました! 「Somebody Else Now」と「じゃあ、何故」を 小西さん率いる象眠舎さんアレンジで歌わせて頂きました🎤もう本当に最高だった… とにかく象眠舎の皆様が優しくて、歌も演奏も最高でした。 呼んでくれたコットンクラブさん、象眠舎さん、会場にお集まりの皆さん、そして駆けつけてくれたあべまにあのみんな! 本当に楽しいステージをありがとうございました! Photo by 萬壽洸樹/manju koki(@manju_koki) @Zoo_Min_Sha #象眠舎 #Becoming_a_thing# #阿部真央#
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🐰 Thank You! 🐰 #象眠舎# "Becoming a thing" 2024.11.23 COTTON CLUB Photo @manju_koki 🐘🐘🐘🎶 #阿部真央# #15th_abemao# @Zoo_Min_Sha
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[LIVE INFO] 🐰 今日はライブ 🐘 ゲストボーカルとして出演です🎤🎶 #象眠舎# “Becoming a thing” 11月23日(土) 📍丸の内 COTTON CLUB [1st show] open 15:00 / start 16:00 [2nd show] open 18:00 / start 19:00 #阿部真央# #15th_abemao#
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[LIVE INFO] 🐰 明日はライブ 🐰 ゲストボーカルとして参加させていただきます🎤🎶 象眠舎 “Becoming a thing” 📅 11月23日(土) 📍 丸の内 COTTON CLUB [1st show] open 15:00 / start 16:00 [2nd show] open 18:00 / start 19:00 #阿部真央# #15th_abemao#
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[LIVE INFO] ⋰ 小西遼さん率いる #象眠舎# のライブに #阿部真央# がゲストボーカルとして出演決定🐰 ⋱ 豪華オーケストラ編成でお届けするスペシャルライブ ぜひ遊びに来てください🎤✨️ 「象眠舎 Becoming a thing」 11月23日(土)東京・COTTON CLUB [1st show] open 15:00 / start 16:00 [2nd show] open 18:00 / start 19:00
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At midnight on February 6th, earlier this year, the doorbell to our apartment rang. The doorbell was followed by a pounding on the door. I answered the door and a security person in our building handed me his phone. It was my oldest daughter Eloise. She had found my 26-year-old daughter unconscious on the floor of her apartment and had called 911. The EMT team was already there, but they did not know what was wrong with Lucy or to which hospital they would take her. I threw on some clothes and jumped in an Uber heading east toward Brooklyn. (Lucy lived alone in Williamsburg.) On the way, I learned that they were taking her to Elmhurst, a City trauma hospital in Queens. I arrived about five minutes after the ambulance to join Eloise, Lucy’s mom, and a friend, and waited to learn what was wrong. After about 15 minutes, I asked a nurse where she was. I looked over his shoulder to his computer. Next to her name, it said “non-responsive.” I walked into the emergency room and wandered around looking for her until I found her unconscious on a gurney surrounded by several doctors and nurses. By about 2:30am with the results from a CAT scan, Lucy’s doctors had determined that she had a massive brain hemorrhage and would need an emergency hemicraniectomy to release the pressure on her brain and remove the blood from the hemorrhage. I called our wonderful friend and family doctor Eddie Fisher and explained what was going on. He woke up Josh Bederson, Chairman of Neurosurgery at Mount Sinai, to find out more about Zach Hickman, the neurosurgeon on call that night. Dr. Bederson said Hickman was an excellent surgeon, which was comforting as we had no choice. The surgery to save Lucy’s life began around 3:15am and finished around 5:30am. It was successful. The following day, I joined Lucy in an ambulance while she was being transferred to Mount Sinai on Madison Avenue. Later that day, we determined from Lucy’s Oura ring that her hemorrhage had occurred around 9am, which meant that more than 19 hours had passed from the time of the hemorrhage to the completion of the surgery to release the pressure on her brain (I only wish @ouraring had an alert for this kind of a medical event. Imagine it could call a family member if the wearer doesn’t cancel the alert). I later learned that the standard of care is not to do surgery to save a patient with a large brain bleed if more than five hours have passed since the hemorrhage. Even when the surgery is done, I was told that the likely outcome for the patient is a few months in a nursing home and death from pneumonia. When I met Lucy’s doctors, I did my best to inspire them: “Let’s see what can be accomplished if we give her the best care possible and we invest unlimited resources to restore her to life.” And I promised that whatever we learned we would make available to everyone. Dr. Chris Kellner, her neurosurgeon, and Dr. David Putrino, Director of Rehabilitation Innovation for the Mount Sinai Health System have led Lucy’s care team since that day. Words cannot describe the remarkable and compassionate care that she has received beginning with the EMT team and then from nurses, doctors, therapists, and the army of people who have worked to save her and return her to life. To this day, we have a daily Zoom where we discuss her progress and make adjustments to her care. While her care and oversight have been incredible, the learnings for the Mount Sinai team have also been elucidating and will assist in the care of many others. Lucy began in a bad place. She was in a coma for several weeks and then awoke not being able to breathe on her own, unable to walk, see or speak. Over the last six months, she has recovered her cognition – she understands everything including her circumstance – is able to walk a hundred or more steps at a time with assistance, is making progress with sounds, vowels and consonants and the beginnings of speech, but she remains unable to see. Each day, she makes a little progress, and daily progress compounds. Every day I tell her that she just needs to make a little progress and it won’t be long before she is back. We remain optimistic that Lucy will return to normal function. It will likely take years, but I believe it is only a matter of time, hard work, and technological progress, along with some, and perhaps a lot, of divine intervention. Many people have been praying for Lucy and we are incredibly grateful for the prayers and remarkable support she has received. Lucy’s friends have been with her every day since the beginning, and their presence and friendship have saved her life and helped to rebuild and maintain her spirit. And on a very positive note, Lucy’s challenge has brought together our entire modern family who have all been incredibly devoted to her care and recovery. Lucy's vision and other faculties may require some form of brain computer interface, work that is underway at Neuralink, Precision Neuroscience, Science, Synchron, Nudge, and other companies in the space. If you are going to have a devastating brain injury, now is the best time in history for that to happen. We are living in a world when you can be confident that the blind will soon see again. We are going to do everything we can to help make that happen, including by assisting existing companies in the space. With respect to our promise to make Lucy’s care available to others, we have made good progress. In May, a real estate colleague made me aware of a 93% vacant, brand new, 400,000 square foot Class A+ purpose-built biotech facility on West End Avenue between 65th and 66th Streets that missed the market and was available for sale. The Pershing Square Foundation acquired the building 60 days later. We also put under contract an adjoining 130,000 square foot building at 320 West 66th Street that is currently being used by Saturday Night Live for studio space. The building has 35-foot ceilings with massive column-free spaces that can be converted into superb rehabilitation facilities. We will close on the SNL building in December. We are also acquiring an adjoining vacant lot with additional air rights. With just the existing zoning rights, we can add a 150,000 square feet for a total of 680,000 square feet, a lab footprint larger than Rockefeller University, and that’s without including the potential for an upzoning that would allow for substantially more buildable area on the site’s 3.4 acres with spectacular views of the Hudson. Our goal is to build the world’s greatest brain research, rehabilitation, recovery, human optimization, and longevity institute. We have named it The Ackman Oxman Institute or the AOI for lack of a better name, but also to reinforce the point that Neri and I and our family are all-in on the mission. The AOI will be patient-centric. It will not be an academic research institute that produces lots of papers, a Nobel Prize winner or two, but little if any results for patients. We will be laser-focused on cures, treatments, devices, rehabilitation and exercise equipment, and targeted and basic research with a goal of massively accelerating the time from idea to innovation to production to helping a patient. While the AOI will be a non-profit, it will have highly commercial instincts. The AOI will have its own venture funding and will work to develop innovations to create companies that we will seed, assist, and spinout to ensure technologies, treatments, techniques, and drugs get to patients as promptly as possible. On one 3.4 acre campus in what is still the greatest city in the world, we will do neurosurgery, neuroscience, rehabilitation, nutrition, BCI and device development, human trials, hyperbaric oxygen treatments, and life extension programs, and we will mandate and incentivize collaboration among the teams with no silos, politics, bureaucracy, or any other constraint that is inconsistent with the mission. Mount Sinai will be an important partner and deservedly so, but it won’t be our only hospital or medical school partner as we don’t believe any institution has a monopoly on the best ideas or the best talent. We don’t believe in exclusive relationships because that is not in the best interest of patients. Five years ago, we considered launching a brain institute inspired by Neri’s mom who sadly died from Alzheimer’s. We couldn’t make the math work as the real estate was too expensive and we believed it would be too difficult to recruit the best talent from universities to our effort. Since then, the real estate became available at a 70% discount, universities became a much less attractive place to work due to politics outweighing meritocracy, protests that disrupt learning, the curse of antisemitism, and a decline in funding. Fortunately, during the same time, I made sufficient personal economic progress to make the AOI possible. The advance of AI in the last few years will also enable us to greatly accelerate our mission. AI still has a lot to learn about human intelligence and the brain, and the AOI should be at the forefront of the interplay between the brain and AI. Today, I am making a public filing disclosing a gift from Neri and me of ~$400 million or 10,000,000 shares of Pershing Square Inc. (PS) to the AOI. It is very early days for Pershing Square so these shares are intended to anchor the long-term work of the AOI as the shares compound over time while generating what we expect will be a growing stream of quarterly dividends to fund the Institute. We will also be announcing an additional gift of similar and potentially greater size which won’t be in the form of Pershing Square stock to provide the AOI with the short- and intermediate-term runway necessary to enable it to achieve its goal of becoming a self-sustaining institute, which reinvests all of its revenues, royalties, and the economic rewards of company formation to advance the fields of brain health and human longevity. Neri and I have chosen to anchor the funding of the AOI to maintain vision alignment and limit the need for the organization to focus on fundraising. We expect the AOI to be the best-resourced brain, rehab, recovery, and longevity institute in the world. We are grateful to have been able to form a board which includes Dean Kamen (our generation’s Thomas Edison), George Yancopoulus (CEO of Regeneron), James Rothman (Nobel Laureate), Bernardo Sabatini (neuroscientist), Chris Kellner (neurosurgeon), Olivia Flatto (CEO Pershing Square Foundation), Neri Oxman, and myself. We have recently identified a CEO who we expect to announce by October along with other key hires, and are beginning searches for a Chief Scientific Officer, a Chief AI/Technology Officer, a Chief Operating Officer, a Chief Financial Officer, and other key leadership roles. If you find what we are building compelling and want to be part of the leadership team that creates and builds the AOI from a standing start, please send an email to: search@aoiinst.org with a short note as to why you believe you can help. Please include your best three ideas for the AOI along with a summary of your background and your most important accomplishments. We promise strict confidentiality to those expressing interest in working with us. We have learned from Lucy that the brain can recover from even catastrophic injury. There is so much more work to be done as the mind is a terrible thing to waste. For details from my Pershing Square SEC filing see:
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⚡️The early Bitcoin holder may be one of the cleanest wealth outcomes capitalism can produce. Think about what happened to the rare person who accumulated meaningful Bitcoin very early and actually held it. They did not need to build a 10,000-person company. They did not need customers. They did not need employees. They did not need a board. They did not need to manage LP money. They did not need to continually recreate the economic engine that made them wealthy. They made one extraordinarily consequential capital-allocation decision, survived years of uncertainty, and eventually the asset itself did almost all of the scaling. That is an incredible lifestyle outcome. A founder worth $100M may technically have the same net worth, but much of it can be trapped inside a company requiring their attention, carrying payroll, lawsuits, competition, customers, executives, financing, and constant strategic decisions. The early Bitcoin holder can have $100M sitting in an asset that requires almost no organizational complexity to own. Enormous wealth. Tiny operating surface area. That combination is rare. There is also something profound about how the wealth was created. They recognized a new category before the world agreed the category was real. The wealth came from carrying uncertainty. Bitcoin looked ridiculous. Then dangerous. Then speculative. Then legitimate. Then institutional. Every step upward removed uncertainty while also removing asymmetry. The earliest holders were compensated for occupying the period when the world could still plausibly say the entire thing was worthless. But survivorship bias here is enormous. Thousands of people also concentrated into things they believed were revolutionary and lost everything. Even among people who bought Bitcoin early, many sold at 2x, 5x, 10x, or 50x. Others lost keys. Others got destroyed by exchanges. Others overleveraged. Others simply could not psychologically carry an asset through repeated 70% to 90% drawdowns while everyone around them told them they were insane. So the extraordinary outcome required several things to happen together: see correctly very early, size enough for being right to matter, survive enormous volatility, preserve custody, and resist selling when the gain already looked life-changing. That is almost impossibly difficult in real time. The highest form of wealth creation may actually be finding a very small number of generational capital-allocation decisions rather than continually maximizing labor output. One Bitcoin-like decision can compress decades of economic effort into ownership of the right thing at the right moment. Afterward, the entire purpose of wealth can change. You no longer need to optimize for more work. You can optimize for autonomy. Time. Privacy. Research. Relationships. Travel. Building things because they matter to you rather than because they need to pay you. And compared with becoming a billionaire CEO whose phone can never truly be turned off, the anonymous person who quietly owns enormous permanent capital may have won a different and arguably more valuable game. The founder builds a machine powerful enough to create freedom later. The generational investor finds an asset powerful enough to make the machine unnecessary. That second outcome is incredibly rare. But when it happens, the lifestyle asymmetry is almost absurd.
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Jayson Tatum says becoming a father at 19 gave him purpose and helped him avoid the mistakes that often come with fame and wealth “I have two boys.” “I was 19 when Deuce was born.” “That was the best thing that could have ever happened to me.” “It wasn’t planned.” “I was afraid.” “I was just leaving Duke.” “I was entering my new career.” “I was moving to Boston.” “I was starting my new life.” “Now I’m about to be a father.” “He was born 12 games into my NBA career.” “I was nervous.” “I didn’t think I was ready.” “I was selfishly thinking about myself.” “My career.” “What I wanted.” “The moment it changed was when he was born.” “The doctor handed him to me.” “I was like, ‘I want him to be a junior.’” “For me, it’s nothing more rewarding than being a dad.” “Being a father gave me a sense of responsibility.” “Before I made any decision, I had to think about him.” “I remember holding him and it just hit me.” “I was like, ‘Oh no, he has swim lessons tomorrow.’” “It gave me a sense of purpose.” “That really made me grow up a lot faster than I expected.” “It was perfect timing.”
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