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【関西実業団/女子オープン100mH】 中島ひとみ(長谷川体育施設)が今季日本最高タイム 思わず、速! とスタンドがどよめく。 一人だけ2倍速で再生してるみたいな決勝レースでした。 予選&決勝&インタビューはYou-Tubeでご覧下さい。
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🚨 STARSHIP V3 UPGRADES SpaceX just unveiled Starship Version 3 Every major system redesigned: > payload tripled to 100 metric tons > all 33 Raptors now fire simultaneously > 3 grid fins instead of 4, 50% bigger > hot-stage adapter now fully reusable > engine shielding deleted > fuel transfer tube the size of a Falcon 9 first stage > 60 Starlink V3 sats per launch > new docking ports for in-orbit refueling The redesigned internal fuel transfer tube is so massive, it's literally the size of a Falcon 9 first stage. "We kind of put a rocket inside of a rocket"
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■You Tube #天城サリー# YouTube動画をUPしたみたいです‼️🐨✨ ㅤ 🇯🇵[Sally Amaki[official]🇺🇲 💁🏻‍♀️ 事務所全員インフル感染で涙の一人海外ft. DISNEY WORLD ㅤ チャンネル登録・高評価🔝 よろしくお願いします🦠🔥 ㅤ #ナナニジ#
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256 Tb/s data rates over 200 km distance have been demonstrated on single mode fiber optic, which works out to 32 GB of data in flight, “stored” in the fiber, with 32 TB/s bandwidth. Neural network inference and training can have deterministic weight reference patterns, so it is amusing to consider a system with no DRAM, and weights continuously streamed into an L2 cache by a recycling fiber loop. The modern equivalent of the ancient mercury echo tube memories. You would need to pipeline a bunch of them to implement modern trillion parameter models, but fiber transmission may have a better growth trajectory than DRAM does today, so it might someday become viable. Much more practically, you should be able to gang cheap flash memory together to provide almost any read bandwidth you require, as long as it is done a page at a time and pipelined well ahead. That should be viable for inference serving today if flash and accelerator vendors could agree on a high speed interface.
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『第67回 輝く!日本レコード大賞』 #TUBE# #前田亘輝# さんと📸 @TUBE__Official #BOYNEXTDOOR# #BND# #日本レコード大賞#
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■You Tube #天城サリー# YouTube動画をUPしたみたいです‼️🐨✨ ㅤ 🇯🇵[Sally Amaki[official]🇺🇲 妹が欲しくなくなる動画~You Wouldn’t Want a Younger Sister After This~ 💁🏻‍♀️ ㅤ チャンネル登録・高評価🔝 よろしくお願いします👫 ㅤ #ナナニジ#
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🚨BREAKING: New Radar Scan Reveals a Massive Engineered Substructure That Looks Like An Energy Grid Beneath the Giza Plateau🚨 Radar engineer Filippo Biondi just dropped the most explosive finding ever reported at Giza: eight clearly man-made, tube-like structures plunging more than a kilometer beneath the Khafre Pyramid and ending in huge 80-meter chambers. The structures are obviously artificially engineered and the synthetic aperture radar Doppler-tomography technique he used has precedent in accurately predicting underground structures (in both commercial and defense use cases). The Egyptian ministry of culture is extremely afraid this finding might rewrite their history. 1) The Core Structure: Eight hollow tubes (with two symmetrical sets of four) sit directly beneath the Khafre Pyramid’s base and run straight down over 1 km into the bedrock. They terminate in a massive chamber roughly 80 meters across. The shape is engineered; nothing in geology produces structures like this. 2) The Method Used: Regular SAR can’t see through rock. Biondi uses a Doppler-tomographic approach: the satellites measure tiny vibrations on the surface, and the inversion reconstructs what’s below from how those vibrations modulate the radar signal. It’s physics, not AI. 3) Independent Replication: The same underground structures appear in data from: • Umbra • Capella Space • ISI • COSMO-SkyMed If this were a glitch or artifact, it wouldn’t repeat across four separate systems. 4) Real-World Validation: Biondi’s method has already been tested against real sites where we know the exact layout. It has: • Mapped the Gran Sasso underground lab with exact accuracy • Reproduced the Osiris Shaft down to ~37 meters • Imaged magma and voids used in active civil-protection monitoring These aren’t speculative models...they match real measurements. 5) Giza As A Unified System: After Khafre, the team scanned the rest of the plateau. Similar tube-like structures miraculously appear beneath Menkaure (a smaller 2+2 pattern) and a single descending tube under the Sphinx. The evidence points to a giant connected system beneath all three monuments. 6) The Tunnel Network: The tomography shows a dense web of tunnels running between the pyramids and toward the Sphinx. Several known surface shafts, now blocked or filled with debris, look like the original access points into this network. 7) Water As A Key Variable: The Osiris Shaft contains water at about 33–37 meters. Biondi thinks water flow is part of how the system operates, possibly tied to vibrational or informational dynamics. He cites Preparata and Del Giudice’s work on coherent water domains but avoids any “power plant” jump. 8) Academia: Biondi already has a peer-reviewed SAR/Doppler tomography paper on the Khufu Pyramid in Remote Sensing. His larger Khafre + plateau paper is now in peer review. The work sticks to hard measurements: geometry, depth, replication. 9) Next Steps: The CAF Project is preparing a proposal to: • Clear out the sealed shafts between Khafre and the Sphinx • Run direct seismic surveys to confirm the satellite data • Enter the tunnel system if Egypt authorizes it At this point, approval from Cairo is the only barrier to verifying what the scans show. If those shafts are opened, the world may be looking at a multi-kilometer engineered complex beneath Giza. Full Documentary 👇
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