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[📸] i-dle (아이들) 미연 ONE THING 광고 촬영 비하인드 ♡ 더 많은 사진은 i-dle (아이들) Berriz MEDIA 게시판에서 확인하세요! 🔗 #아이들# #idle# #미연# #MIYEON# #ONETHING#

“One thing you know about Philly fans they don't care about anybody besides their home teams, and I respect and I love that.” LeBron will officially play his historic 24th NBA season with the 76ers 👑

On July 14, the Department of the Navy released its Strategy to Weaponize Data and AI: a roadmap to an AI-first Fleet that can "out-learn and out-fight any adversary." Within a week, our team answered with working code. The Navy's new strategy frames data and AI as warfighting assets on par with weapons and munitions, and it prizes one thing above all: turning information into decisions, fast. That is exactly the problem our GURU architecture was built for. So when two Navy SBIR topics called for AI-driven maritime tracking and adaptive sensor management, we pointed at the sea what we had already proven in orbit. The video below shows both prototypes, back to back. First, GURU MarineGuard: 787 real vessels from public NOAA data, replayed through a cascade of learned models that forecast each ship's movement, flag deviations from its learned pattern of life, and hand analysts a ranked review queue instead of an unfiltered flood. The full stack runs on a laptop. Second, an adaptive sensor resource manager add-on to MarineGuard: it measures each radar's marginal contribution to each track, projects the consequence of releasing a sensor task before proposing it, and then waits for the operator. Advisory by design. Both inherit their DNA from OrbitGuard, our system watching 14,710 space objects at the SDA TAP Lab with 94 to 96 percent maneuver-detection accuracy. Same architecture, new domain, days not years. These are prototypes, and we say so on screen. The trajectories are real. The sensor numbers are deliberately notional. No score is a threat call. Showing your assumptions is a capability, not a caveat, and national-security guidance now demands exactly that: AI that is reliable, robust, steerable, and controllable under rigorous test and evaluation. Our doctrine was written for that bar. Learned models accelerate and rank. Validated references confirm and decide. Humans stay in command. One architecture. Space, maritime, autonomous engineering, regulated nuclear autonomy. This is simply the latest sign of what this team fields, fast, where mistakes are not allowed. Sailors, engineers, program folks: what mission should GURU learn next? #DefenseTech# #ArtificialIntelligence# #MaritimeDomainAwareness#

Trump at the WHCD: "I was disappointed that Gavin Newsom didn't show up... there's only one thing we know about Gavin, and that's he definitely doesn't want to fight fire with water." He then called Newsom's recent interview "one of the worst I've ever seen by a professional politician."

For a thousand years, Jingdezhen has been dedicated to one thing: making the finest porcelain. Congratulations on the inscription of the Jingdezhen Handicraft Porcelain Industry Sites as a UNESCO World Heritage site.

.@POTUS: "I was disappointed that Gavin Newscum didn't show up... I heard that he recently said that 'we will lose our country if we don't fight fire with fire.' And, to be fair, there's only one thing we know about Gavin—and that's that he definitely doesn't want to fight fire with water."

These are photographs from the very first portfolio I shot after arriving in Mumbai in 1981. I was 25 years old. A young man from Shimla with a suitcase full of dreams and a heart full of belief. The city was enormous. It could make you feel like a tiny drop in a vast ocean. Every face looked more confident, every street seemed to be moving faster than my dreams. There were days when my premature balding bothered me. I wondered if people would see my hair before they saw my talent. But then I would remind myself of one thing… I knew my craft. The National School of Drama had given me confidence. Life had given me hunger. And hunger, when it is backed by hard work, becomes a powerful force.😍 People often ask me, “Did you know you would make it?” No. I didn’t know. But I knew I would never stop trying. Dreams are strange. They don’t come true because you merely wish for them. They come true because you wake up every morning, work on them relentlessly, survive rejection, silence your fears, and keep showing up. If you truly believe in your dream, your dream slowly begins to believe in you. Looking at these photographs today, I don’t see a struggling actor. I see a young man who refused to negotiate with his dreams. And for that 25-year-old boy, I have only one thing to say… “Thank you for not giving up.” ❤️ #Throwback# #FirstPortfolio# #MumbaiDreams# #DreamsDoComeTrue# #WorkHard# #NeverGiveUp#

The Multicoin HYPE playbook — a masterclass in saying one thing and doing another: Jun 25: Publishes a deep-dive bullish HYPE thesis. Early Jul: Partner calls a $319 target, tells retail to "accumulate in thirds." Mid Jul: Onchain sleuths catch $37M of HYPE on the move, $11.2M sent to Galaxy's OTC desk. Jul 21: Unstakes 1.96M HYPE in one go — roughly $120M. Jul 22, morning — founder tweets (see image): "We did not unstake to sell. Our funds are constantly tracked, forcing regular wallet rotations. Institutions need privacy — that's why we're long ZAMA and ZEC." Jul 22, same day: Multicoin wallets deposit $23.8M HYPE to Coinbase Prime and unstake another $13M. One tweet, three jobs: deny the exit, complain about being watched, shill their own privacy bags. The next day he added: "If you pre-announce that you are simply moving funds, what happens when you actually want to sell? You won't be able to honestly make that announcement." — honestly, can't argue with that one. Cost basis $30. Price $57. Up 90%. The thesis was written for you. The $319 target was shouted for you. The "thirds" were for you to catch. Institutions DO need privacy — otherwise you'd watch them dump. The chain doesn't lie. People do. $HYPE