与「MEET_UNIVERSE_NOW」相关的搜索结果

[💡] 아이즈원의 #유니버스# 로 놀러와🎶🙌 #UNIVERSE# 에서만 만날 수 있는 아이즈원의 색다른 모습! 기대되신다면, 지금 바로 #MEET_UNIVERSE_NOW# 💝 iOS ▶ Android ▶ #IZONE# #아이즈원# #アイズワン#

Justine Musk on being married to Elon Musk what it means to a visionary In her TED Talk “Visionaries are People Who Can See In The Dark”, Justine Musk shares her experience reading a recent profile Elon: “He’s quoted as saying something to a friend — and this happened during the time we were still married together… He said that he was prepared to sacrifice his entire fortune to get a rocket into orbit. And he said, ‘I don’t care if Justine and the kids and I end up living in Justine’s parents’ basement. I’m going to make this happen.’ And so I read this and kind of wanted to go back in time, go up to him, take him by the shoulders, look him very seriously in the eyes, and say, ‘Have you seen my parents’ basement?’” Justine reflects what it means to be a visionary: “Visionaries take all that passion, their badass personalities, their mad skills, and the mastery of their chosen subject matter, and they use it to put themselves on the line unlike anybody else you’ll ever meet. And it’s this that allows them to open up windows into another, deeper reality in which transformation is possible and things of awe happen on a regular basis.” She continues: “In the beginning, we don’t trust them because we think they’re crazy, but by the end, we trust them because we know they’re crazy. They’re crazy enough to accomplish anything and risk it all in order to bring us something new to believe in. They might make lousy husbands and terrible wives. They might be the friend who never sends you a birthday present and forgets to show up for coffee. But they bring light to the dark, and they show us the universe.” Source: @TEDTalks (Jun 2017)

🚨Wow, what a moment! 🇺🇸🚀 SpaceX just keeps raising the bar. Catching Starship with the tower is incredible to watch. Elon and his team are showing us what happens when big ideas meet determination. Who else is excited to see what comes next?

FBI ve Adalet Bakanlığı, Kuzey Kore bağlantılı devlet destekli hackerların FaceStealer adlı düzenle sahte video görüşmeleri üzerinden 400 milyon doların üzerinde kripto para çaldığını açıkladı. Son 18 ayda 900'den fazla kurban var; hedefte kripto ve web3 sektörü, özellikle açık kaynak geliştiricileri. Bu rakamı iki kez okudum. Sahte ya da ele geçirilmiş hesaplardan gelen davet sizi Zoom, Teams veya Google Meet'in taklit sürümüne çekiyor.

Meet the backers helping us build DI. We’re proud to introduce our investors: OKX Ventures, Lingfeng, DraperDragon, W3 Storage Lab, DepinX, Central Pinnacle Technology Limited, and individual investors. Our latest funding round closed at a $100M valuation. We believe everyone should have access to a team of financial AI agents that helps them explore ideas, challenge assumptions, and make sense of the markets. That’s the future we’re building at DI: a user-owned AI financial agent network for U.S. stocks and crypto. First up: Event Engine, launching soon. Bring a market question. Our specialist agents will explore what could happen next, where they agree, where they disagree, and why. Thank you to our investors and community for building with us.

Everyone believes CUDA is NVIDIA's moat, the reason we've maintained our dominance in the AI era. I've never believed that. NVIDIA has only one true moat: its people. And the most important of them is Jensen Huang. I've worked on CUDA compilers, libraries, and DSLs for eight years, from Volta to Rubin. I think I've earned the right to share my perspective on what NVIDIA's moat really is. I hope you'll bear with me. 1. What is CUDA? Many people think CUDA is just a programming language and its compiler, and that NVIDIA's moat comes from the massive amount of software written in CUDA, making it impossible for developers to leave NVIDIA GPUs. This is completely wrong. It's an incredibly naive understanding of CUDA. To me, CUDA is everything NVIDIA does. CUDA isn't just a language, software, or hardware architecture. It's a product defined by a unique customer experience. When you find GPU programming too difficult, CUDA gives you an easier way. When your GPU code isn't fast enough, NVIDIA engineers respond and help you solve it. When a handful of GPUs can no longer push your technology forward, NVIDIA has already scaled its computing platform from desktops to massive data centers. When you need more data centers than anyone else can supply, NVIDIA has already secured wafer and HBM capacity years in advance to meet your demand. That experience is CUDA. It's made possible by the relentless, day-to-day work of everyone at NVIDIA. And the person who brings all these people together, who gives them a shared vision and purpose, is Jensen Huang. 2. What made CUDA possible? Patience. Perseverance. An unwavering commitment to a vision. Around 2006, NVIDIA bet that the future would demand far more computing power, and began transforming GPUs from graphics processors into a platform for general-purpose computing. Initially, it was a commercial disaster. The added costs hurt margins, the market wasn't ready, and the strategy faced enormous skepticism and pressure, including questions from the board. But Jensen persisted. For roughly a decade, NVIDIA kept investing in CUDA, building its hardware, software, and developer ecosystem long before the commercial payoff became clear. Eventually, deep learning arrived. And NVIDIA was ready. Today, this sounds like an inspiring story. But for those who lived through it, it meant a decade of perseverance, doubt, and being misunderstood. Looking back at the history of technology, how many people could have done the same? This is what I've always loved most about NVIDIA. And now, Jensen has been pushed out. This won't kill NVIDIA. The company can still create tremendous commercial value. But it has killed NVIDIA's soul. And how far can a body go without its soul? If this is how Jensen Huang is treated today, how will those of us who built CUDA be treated tomorrow? I love NVIDIA deeply, but I have to say it: NVIDIA is dead.

The REAL story finally came out. And THIS is exactly why I waited before jumping on the outrage bandwagon. Not only had these individuals pulled the same stupid prank in front of FOUR other Ring cameras before reaching this apartment, but BOTH sides have now acknowledged that they didn’t even know each other. The pranksters didn’t even know the race of the people living inside the apartment. Now these individuals are being threatened, doxxed, and dragged across the internet. One even left the university. Was the prank stupid? Absolutely. Does that justify what is happening to them now? NOT EVEN CLOSE. Imagine living in a world where making monkey noises into a Ring camera can potentially land you in more trouble than k*lling your own THREE CHILDREN. Imagine living in a world where a woman pulled a stupid prank and is forced to step away from her education, but a MURDERER who admitted to k*lling a student at a track meet is not expelled and is allowed to graduate. The world is backwards.

Will I be chosen? I’m completing quests and getting active with WFit for a chance to claim my FREE MINT and meet my Labyrinth Companion. Your next adventure needs a Companion. Ready to find yours? @CompanionsWfit

Meet Gemini 4 Hydrogen. It brings cutting-edge intelligence to everyone, with speed and efficiency for everyday coding and agentic work. Across 4 thinking levels, it stands on its own or teams up with Carbon and Argon — 2.5X faster than 3.8 Flash, outpacing competing models in its class.

Meet Gemini 4 Hydrogen: built for rapid coding, multimodal synthesis, and everyday workflows. It finishes tasks 2.5x faster than 3.8 Flash and surpasses Argon on the @ArtificialAnlys Intelligence Index.