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[📸] 250925 2025 학문체: 기억[記憶] Piece Of Memory 🍁💚 #JEONSOMI# #전소미# #THEBLACKLABEL# #더블랙레이블#
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[ #Piece_Of_Memory# #💚# ] 반가운 선배님들과의 하루, 너무 즐거웠습니다😎 Enjoyed the day with our seniors😎 #GOT7# #갓세븐# @GOT7Official #IGOT7# #아가새# #GOT7_BreathofLove_LastPiece# #GOT7_Breath# #GOT7_LASTPIECE# @Khunnie0624 @yubinofficial
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🔥Auction live for this frame by frame animation. Thank you so much @cs_barbz for the bid. Your support since the beginning of my way means a lot! "I'll share every moment of this world with you. Every memory, every piece of wisdom, and all of time. We will walk through this whispering forest, where the trees remember everyone who came before us. When we disappear, they will stay here, keeping our memories alive. But for now, let's walk this path together". 22h till the end👇
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I lost my dad at thirteen, so I didn't get to know him well. I made this piece of instrumental music last year around this time to honor his memory. I don't know that it's particularly dad-ish, but he was on my mind as I made it. Free player at link, headphones recommended.
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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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One week of Isoform 1.0. Here's what's next. More platforms. Windows and Linux, and Android. Your memory should follow you, not your laptop. Teams. Isoform is personal today. The plan is to distill what each person knows upward: personal SOPs to project, project to team, team to company. Open source stays open. Teams get a hosted plan. That's how a company stops losing what its people know every time someone leaves. Agent of You. The names reserved this week are first in line when it opens. Hardware. Here's the problem with a personal AI that lives on your computer: your computer sees a fraction of your life. Most of what you know never touches a keyboard. It happens in conversations, on walks, in the thing you said to yourself in the shower. So we're building a wearable that picks up silent speech. What you see on screen, how you move through the world, and what you say to yourself all land in the same memory. That's when the portrait is complete. It's further out, and it's the part I'm most excited about. Everyone deserves an agentic version of themselves. We shipped the first piece this week.
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Okay, so I stumbled upon this really cool generative NFT project called Pattern Retrieval, and it's honestly one of the most unique things I've seen in a while. It's from @adamilenich, who you might know from his work with @opensea. The whole concept is pretty mind-bending cos it takes every single printable ASCII character you know, letters, numbers, and symbols and treats them like delicate memories. These memories are stored in something called a Hopfield network. Then, the project deliberately messes with them, adding random noise, and lets the network try to piece them back together. It does this by simulating this old-school CRT phosphor screen, complete with that fuzzy glow and scanlines. What's interesting is that each piece also has its own generated audio. It starts out sounding like that static and noise, but as the memory gets restored, the audio transforms into this really calming soundscape, almost like it's singing. The entire thing is just one self-contained HTML file that plays on a loop in your browser. It really makes you think about memory, how things decay, and how patterns try to hold their form. If you're curious, you can check out the live site at and even interact with some of the examples yourself. It feels like a really deep dive into how we perceive and reconstruct information.
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A piece of 50 Cent history. The 50th Law has inspired entrepreneurs, leaders, and hustlers around the world with its message of fearlessness and self-reliance. Now you can own a limited-edition plaque featuring some of the book’s most memorable quotes—personally signed by 50 Cent. Only 50 were made. Once they’re gone, they’re gone forever. 🖊️ Individually numbered ✍🏾 Hand-signed by 50 Cent 📖 Inspired by the bestselling classic The 50th Law Secure yours now •
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No words are big enough right now to overcome this empty feeling in the stomach. We were close, really close to another final but it wasn’t enough. We’ve given everything over these last 7 weeks and to fall short is hard to take! I know the expectations are high and rightly so, we’ve been knocking on the door for 8 years now but again are missing that final piece of the jigsaw! That’s where we have to go away, process it and find a way to get better. I’m so proud of the boys and what we have shown throughout this tournament - some tough games and tough environments that we have overcome. Some memories that will stay with us players and I’m sure you fans for a long long time! Going for glory doesn’t always mean you will get it. You have to fight for it, get knocked down, pick yourself up and go again and that’s what we will do, there’s no other way but to keep believing and keeping pushing. Thank you to every single fan that travelled and showed their support in the stadiums. Thank you to every fan back home for believing in us. Thank you to the boys and staff for everything you have given. As always Win or lose, we learn and go again! 🏴󠁧󠁢󠁥󠁮󠁧󠁿🦁
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The glory work of GPU scheduling is in the frontier data centers with hundreds of thousands of GPUs, but a lot of research work is done with single GPU jobs on modest clusters, and the scheduling leaves much to be desired. I wish there were a clean way to preempt GPU tasks, so long running tasks could be transparently paused to allow higher priority tasks to get the minimum time-to-results. Manual checkpointing and cooperative multitasking is an option, but it complicates codebases and is fertile ground for bugs. It feels like most of the pieces are present: Everything goes through page tables on the GPUs already, Nvidia UVM (Unified Virtual Memory) allows demand paging to host memory, and MPS (Multi-Process Service) could act as a CUDA shim to force everything to use a different memory allocator. Memory page thrashing would be catastrophic for GPU tasks, but the idea would be to pause the host task of the low priority process, then let the high priority process force only the necessary pages out (or maybe none at all, if the memory pressure wasn’t high enough) while it is running, then resume the low priority task on completion, allowing it to page everything back in. Task switching at the level of tens of seconds, not milliseconds. Even if it didn’t handle absolutely all memory (kernel allocations and such) and had some overhead, that would be quite useful. Of course, Nvidia would prefer you to Just Buy More GPUs!
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