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I was able to go and see The Primals for a second time!!! Honestly so hype from start to finish! 💫 #FF14# #THEPRIMALS#
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Went to see The Primals concert tonight in Budokan!!! They were incredible as always! 🤩🥹 #PRIMALS# #FF14#
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Tomorrow is Tokyo Game Show!! The next day I am getting up early to stream Silent Hill f! Straight after my stream I need to travel a few hours away to check into my hotel for Oarai Firework Festival (CosFes) the next day. The next day will be the cosplay event! Then I need to travel back to Tokyo after the event, late in the eveing. Then the next day I need to get up early again to go and shoot a sponsored cosplay. It's already late, so i have to edit and prepare the photos and videos as soon as I get home. The next day is a video shooting in Shibuya, requiring two cosplays, and again very fast turn-around for the results. And the last day of the month will be The Primals concert! I am a little stressed, but I'm going to get this all done!! FIGHT-O!!🦾
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Track Mode allows you to individually adjust stability control, handling balance & regenerative braking, giving you ultimate authority over your car’s handling 🏎️ You can also access real-time telemetry data like G-meter, vehicle thermals, tire utilization & more Available on Model 3/Y Performance & Model S Plaid
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What's the next step change in chip packaging technology? @bubbleboi: "The main difference between EMIB and CoWoS is CoWoS relies on what we call silicon interposers. They're like these huge plates where you put the chips on, and you start etching channels in between through the interposers." "An effect of that is that heat dumps into the interposers, just like anyone knows when they heat up popcorn, things expand and contract, and this creates worse yield." "NVIDIA's already seen this. Part of the reason why Blackwell had trouble ramping was all thermals, the package warping. That's a huge issue." "I think even TSMC knows it's a huge issue because in their further along roadmap, they don't really plan on adopting that for much longer. They're now going to a more Intel style thing where you use little bridges... smaller pieces of silicon to connect just the relevant parts." "What that effectively does is cut your costs 'cause you're using way less silicon, the thermals, the communication, it's centralized in one area."
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Jensen Huang just revealed the mathematics of manufacturing a mind. We are no longer writing software. We are pouring concrete. The world is racing to construct AI factories. Not data centers. Planetary-scale nervous systems. The largest infrastructure buildout in human history. Huang: “Each one of these, at 1 gigawatt level, started at 30, 20, 30 billion dollars. It is at 50, 60 billion dollars, and soon it will be 80, 100 billion dollars per gigawatt.” One hundred billion dollars. That is not a corporate budget. That is the GDP of a sovereign nation. Poured into a single physical structure designed to convert raw electricity into cognition. Biology had millions of years to iterate. To mutate. To fail and adapt. These factories get one attempt. Huang: “100 billion dollars into an AI factory. It must work the first time and it must work right away.” Evolution had the luxury of time. A hundred billion dollars does not. So Nvidia built a digital universe to stress-test the physical one. Using the DSX Sim Omniverse blueprint, partners design and validate an entire Vera Rubin AI factory inside a digital twin before a single rack ships. Every layer. Chips. Network. Cooling. Power grid. Designed end to end. We are simulating reality inside a machine to ensure we can build the machine in reality. Because compute is revenue. And the bottleneck was never silicon. It is thermodynamics. Current AI factories overprovision power by up to 40%. DSX Max LPS eliminates that. More GPUs inside the same power envelope. Billions in recaptured annual revenue. And Nvidia is deploying AI agents inside the factory itself. Balancing cooling and power in real time. Steering stranded watts rack to rack. Routing energy wherever compute demand lives. The intelligence is regulating its own physiology. Hunting for stranded energy. Balancing its own thermals. The machine is learning to keep itself alive. Huang: “Because Nvidia ultimately is not just building a GPU, not just building a system, we’re helping customers build these AI factories, these AI infrastructure that is so immensely complex.” Nvidia’s moat is not silicon. It is that no other entity on Earth has built the complete architecture for constructing and operating intelligence at industrial scale. TSMC fabricates the chips. Nvidia fabricates the factory that turns those chips into cognition. For ten thousand years humanity built monuments to outlast our bodies. Pyramids. Cathedrals. Skyscrapers. We are now pouring hundreds of billions into structures designed to outthink our minds. They must work the first time. Because there is no second draft when the thing you are building might one day write its own.
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