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PERSES มาแล้ว โปรโมชันก็มาด้วย! HUAWEI WATCH FIT 5 Series สมาร์ทวอทช์คู่ใจสายแอคทีฟ พร้อมดีไซน์ที่แมตช์ได้ทุกลุค และโปรโมชันสุดคุ้มที่ห้ามพลาด รับฟรีของแถมสุดพิเศษ มูลค่ารวมสูงสุด 2,024 บาท!

いよいよ今夜です✨️ 皆さんにT-POPの魅力が沢山伝わりますように🤭 楽しみだー(((o(*ﾟ▽ﾟ*)o))) #TPOPShowCaseTokyo2024# #IzurinaCGM48# #伊豆田莉奈# #いずりな# #QRRAinJapan# #QuadLips# #PROXIEmaJAPANlaewna# #PERSESinJapan#

2024年4月5日に開催されますSuperball presents T-POP Showcase Tokyo 2024のチケット販売が現在行われています!! 詳細は公式サイト にてご確認下さい♪ 私はMCで出演します😊楽しみにしてます🥰 #TPOPShowcasetokyo2024# #IzurinaCGM48# #PERSES# #PROXIE# #QRRA# #QUADLIPS#

You want to know what frustrates the hell out of me? Putting your heart, your art, your time, and your own money into building things you believe in… then watching so much of that work disappear into silence. And yeah, some days that shit gets to me. Did I bring books, reading badges, Discord, crypto, and NFTs together into one connected library? 📚 I fucking did. Did it get much attention? Nahh. Did I build an entire browser-based world with its own points economy? A world where you can turn your NFT into a character with a click, rigged, animated, and ready to step into Universe? I did. Much noise about that? Nahh. Am I building RAAP to give NFTs persistent identity, memory, and history? So an asset can carry something meaningful forward when it passes to a buyer or someone in your family? Yes. Because I believe these things can become more than pictures sitting in a wallet. Does that work get the attention I feel it deserves? Nahh. I draw the fucking art. I develop the applications. I write the books. I work through the problems. Six applications that communicate with each other. Two gaming platforms with multiple games. An NFT overlay builder with AI. A stickers and GIFs hub. Do you understand how much work goes into making all of that actually function together? The hours spent fixing something nobody will ever notice, because when it finally works, it’s supposed to feel easy. Then there’s the Discord bot. More than 30 features. A subscription service. An economy tracked on a ledger. Tools to help keep a community engaged when its owner needs to step away and live their damn life. Built it. Still feels like shouting into an empty room sometimes. And Antthony? Our smart ass AI whose dream is to become a stand-up comic? 😂 He lives across our apps. He’ll help you, roast your gameplay, and talk shit when you deserve it. He even has a comedy club inside Universe, where you can sit down with your character and watch his avatar perform. I care enough about this world to give the fucking AI a dream of his own. That’s how deep this goes for me. And I’m still building a marketplace. Still working on an NFT insurance protocol and other projects. Still writing Book 2 for the library. Still preparing two more collections under our umbrella. ☂️ So yeah, I get angry. Because I know what I’m putting into this. I know how much of myself is in every drawing, every feature, every chapter, and every problem I refuse to leave broken. Sometimes I want to scream: what the fuck else do I have to build for people to pay attention? But I also need to correct myself when I say “nobody cares.” Because some of you do. You show up. You read. You play. You test things. You tell me what’s broken and give me a reason to make it better. You matter too damn much for me to erase you just because I’m frustrated with the silence around us. 🖤 I want this to reach more people. Of course I fucking do. I’ve poured too much love into it to pretend otherwise. And I’m going to keep building because I love doing it, and because the people already here deserve to see how far we can take this. More to come in 2027. The plans are in. I’ve got work to do. 🐜

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.

Thank you @JensenHuang for 33 years of bold leadership. You built a small startup into America’s most valuable company, with relentless improvement. Your grit and perseverance should always be remembered. Your personal generosity with time and advice to founders like me has secured a bright future for America and AI.

¡Buenos días, amigos de México! 🇲🇽👋 Soy de China 🇨🇳 y tengo una pregunta que siempre me ha dado curiosidad. En las películas y series, los cárteles mexicanos parecen dar muchísimo miedo. 😨 ¿Es verdad que, si alguien insulta o le falta el respeto a un jefe del narco, podrían perseguirlo incluso por eso? ¿O es algo que las películas exageran mucho? Quisiera saber qué tan diferente es la realidad de lo que vemos en la pantalla. 🇲🇽

In traditional Chinese culture, the plum blossom is admired for its ability to bloom in the cold of winter, making it a powerful symbol of resilience, strength, and perseverance. Now, let's take a moment to enjoy soprano Geng Haolan performing “Plum Blossoms” with the Shen Yun Symphony Orchestra. May the beauty of the plum blossom—and the music inspired by it—remind us that even through life’s coldest seasons, we can continue to stand strong and bloom. ============= ☘️ Watch more videos: ☘️ Watch live:

谷歌刚刚放出一门 70 分钟的官方课，手把手教你打造一个7 * 24小时完全自动化的生产级 Agent 。 很多人学 Agent 看了几十个小时零散教程依然搭不出可用的东西，核心是没有搞清玩具 Demo 与工业级架构的边界。 谷歌这门 1 小时课程没有任何水分，只聚焦 5 个真正的工程核心： 1. 从 0 跑通首个 Agent：拆解模型调用、工具绑定与执行环境的基础闭环。 2. 状态持久化（Persistent Memory）：告别单次对话即失忆，构建跨会话的记忆索引与上下文回填。 3. 长时自主循环（Agentic Loops）：摆脱线性问答，让 Agent 具备自我反思、容错重试与多轮状态流转能力。 4. 吃透 MCP 核心架构：彻底理清 Model Context Protocol 与传统 API 的本质区别，学会构建标准化的上下文协议。 5. 多智能体协同系统（Multi-Agent）：把分散的专职 Agent 串联成高协作度的自动化系统。 完全免费。 比市面上价值700刀的课还要干货。 建议收藏，今晚就观看 。🔖

Il vero amore è un dono di Dio, e non possiamo produrlo da soli. Dove l’amore umano è spesso macchiato da desideri egoistici, l’amore di Dio è invece disinteressato, paziente, perseverante e possiede tutte le meravigliose qualità che san Paolo elenca nella prima Lettera ai Corinzi (1Cor 13). #Youcat#