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Anthropic just published an engineering guide on how to build always-on agents. The biggest misconception: an always-on agent does NOT run 24/7. It sleeps almost all day, wakes up for short runs, saves state, and goes back to sleep. The 5 core pieces I distilled: 1. Event Inbox Put a database table between webhooks and your agent. Acknowledge webhooks fast, run only one active worker per user so runs never collide, and batch rapid messages together. 2. Timers Keep timers in a separate table from the inbox. Split them into one-off follow-ups and recurring schedules. A background poller drops due timers into the inbox. 3. Lean Memory + Dreaming Only store what cannot be looked up again: user instructions, user notes, past messages, and task progress. Load a small index at wakeup, not every file. Run periodic dreaming passes to clean out stale facts. 4. Unattended Permissions Never put raw API keys inside the agent sandbox — inject them through an outside proxy. Use Deferred Tool Calls to pause risky actions for approval without blocking the worker. 5. Outbox Queue outgoing replies so your agent paces notifications instead of spamming users at 3 AM.

My mom fed a homeless man behind our house for 20 years. Three meals a day, even when we couldn’t afford electricity. I hated her for it. The day after her funeral, that same man took my hands, looked me straight in the eyes, and said: “Before she died, she begged me to stay silent.” I honestly had no idea what he was talking about. For 20 years, this man had lived in a makeshift shelter behind our rental house. My mom brought him breakfast, lunch, and dinner. Every single day. And the crazy thing was, we were poor too. My sneakers had tape covering the holes. Sometimes we struggled to pay our bills, and there were days when we couldn’t even afford electricity. But somehow, my mother always found enough food to feed him. I never understood it. I remember coming home two days before Christmas and finding a yellow eviction notice taped to our front door. We were struggling to keep a roof over our heads, yet my mother was still preparing three meals a day for a stranger. That night, I finally lost my temper. Me: “Maybe if you stopped feeding strangers, we wouldn’t live like this!” My mom turned around so quickly that I knew I had crossed a line. Mom: “Don’t you ever DARE say that again.” I had never seen her that furious before. I didn’t understand why she was defending him so strongly when her own child was going without things. I moved out when I turned 18. We fought less after that, mostly because I stopped asking questions. But the man stayed. Year after year, his little shelter remained behind our house, and my mother continued feeding him. Then my mom got sick. Cancer made her small. She became quiet, and it was the kind of quiet that scares you because you know something terrible is happening. Two weeks before she died, she reached out and grabbed my wrist. Her grip was so weak that it broke my heart. Mom: “Promise me you’ll keep feeding him.” I looked at her. Honestly, I wanted to say no. I wanted to ask why she was still worrying about that man when she was the one who needed help. But you don’t lie to a dying mother. So I promised. My mom eventually passed away. The day after her funeral, I prepared the best meal I could, put it on a plate, covered it with foil, and drove to her house. I had promised her I would keep feeding him. But when I got there, the man was gone. His shelter had been completely cleared out. Everything was gone. The ground had even been swept clean, as if those 20 years had never happened. I stood there holding the warm plate, wondering where he could have gone. Then I noticed something. A black SUV was parked at the curb. Standing beside it was a man wearing an expensive wool coat. He was clean-shaven, well-dressed, and looked nothing like the homeless man I had known for 20 years. But the thing that caught my attention was what he was holding. My mother’s old silver locket. The same locket she had told me she lost when I was eight years old. He looked at me and said: Man: “I thought you wouldn’t come.” I stared at him. Me: “Wait… is that you? What’s going on?” He smiled, but his expression was unsteady. His eyes were already filling with tears. Man: “Your mom hid something from you.” I felt my stomach tighten. Me: “What did she hide?” He looked at the plate in my hands before responding. Man: “Before she died, she begged me to stay silent.” My blood went cold. Me: “Silent about what?” He gently shook his head. Man: “Sit down. You shouldn’t hear this standing in the cold.” We sat on the front steps. The plate was still warm between us. He turned my mother’s silver locket over in his palm as though it might break. Then he began telling me something I never could have imagined. Man: “My real name is Vernon Hale. Before all this, I owned a company. I had a big house in Connecticut, a wife, and a little girl. My daughter was six years old.” I just stared at him.

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.

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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.

We’ve partnered with Fanatics Studios, the joint venture between @Fanatics and @OBB, for a multiyear collaboration that will bring Fanatics Studios’ creative and event production capabilities to NBA All-Star, including in-arena events, competitions and original content, starting with NBA All-Star 2027 in Phoenix.

Key takeaways on Nvidia CEO Jensen Huang’s resignation: 1. Near term, the bad news is priced in: For the stock market, this could be a one-time clearing event. Huang has now fully cut ties with Nvidia, so Congress summoning him and any follow-up investigations should have less impact on Nvidia’s stock from here. As for how Huang’s next moves might affect Nvidia, it’s too early to call before the investigation results are out. 2. Google’s TPU is likely the biggest beneficiary: With Nvidia facing succession uncertainty, Google’s TPU has a chance to win more trust from customers and the supply chain. Its key partners, MediaTek and Broadcom, could be the market’s near-term focus. 3. Succession impact shows up in 2028 at the earliest: CFO Colette Kress is now interim CEO. The formal CEO transition and the organizational changes that come with it will likely start affecting Nvidia’s product development and competitiveness in 2028 at the earliest. 4. Capacity pre-booking and spec upgrades are the key focus for supply chain checks: Huang’s product strategy pushed the supply chain hard in two ways: capacity pre-booking and spec upgrades. It’s critical to watch for any changes in capacity expansion and new tech development across the supply chain. These are among the core reasons Nvidia’s supply chain trades at high P/E multiples. 5. China demand and export controls: The share of Nvidia’s AI chip revenue that ultimately ends up with Chinese buyers may be higher than what the company has officially stated. That’s why some investors worry Nvidia’s revenue will drop sharply once the US government tightens export controls. But China’s end demand won’t disappear because of export controls. Even under tighter rules, as long as overseas resale channels exist, Chinese buyers may still pay the premium, even at several times the price, and get Nvidia chips/racks through indirect routes.

Jensen Huang is effectively OUT of NVIDIA🚨 Man His wife is 65 years 🇺🇸 They have been married for 41 years. As early microchip designers, she reportedly earned more money She totally left engineering work to raise their two children while Jensen Huang built Nvidia She was one of only three women in a class of 250 electrical-engineering students at Oregon State University when she and Jensen met. Jensen was 17 years when he walked up to the 19 year old Lori (his wife) and asked "Do you want to see my homework?" He promised that if they studied together every Sunday she would get straight A's, turning homework sessions into weekly dates. He also told her he would be a CEO by age 30. A promise he kept when he co-founded Nvidia in 1993. Jensen has repeatedly called meeting her "the most important, single event of Oregon university, and of my life" They married in 1985, the same year she graduated with her electrical-engineering degree. In 2022 the couple gave $50 million to Oregon State University (the campus where they met) to create a major innovation complex named after both of them. Jensen has said he does "zero percent" of his own shopping and that Lori (with their daughter) chooses his clothes, including the signature black leather jacket. He has publicly credited her with being "part of Nvidia every step of the way" and with handling the personal and financial details of their life. It's quite sad what is happening currently and how shattered Lori Huang must be.