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🎥WATCH: "The Fiat System Has Terminal Cancer" - Digital Credit is the Answer | Ep 12 @Strive CEO @ColeMacro sits down with @BranBTC to explain why the fiat system is failing, digital credit is for everyone, and his belief in Bitcoin fundamentals has never been stronger. Chapters: 01:26 — The "mild" bear market read 08:47 — Double-digit Bitcoin-backed yields 16:25 — SATA vs. common equity 23:25 — Digital credit and the bear market 31:32 — The year-three track record 38:51 — The dollar's "terminal" diagnosis 44:26 — Self-custody, cold storage, and Bitcoin 51:55 — Hyperbitcoinization and Strive's endgame 57:02 — Growing the pie and Michael Saylor

A few days ago, ECHO Asia was an idea. Today it has a website. Vietnamese materials. Japanese materials. Separate landing pages. Localized demos. Community reviewers. Checkout. Delivery. And a global audience watching it come alive in real time. That does not happen because a company “targets a market.” It happens because people show up. Vietnam showed up. Japan showed up. And we decided to meet that energy with real work. We don’t speak every language perfectly. We are not pretending we do. But ECHO was never only about translation. It was about context. How business feels different in Vietnam. How trust moves differently in Japan. How a conversation changes before the answer ever arrives. That is what we built. Not another prompt pack. A conversational operating layer that can adapt across language, culture, and business reality. The first ECHO Asia community versions are now live. Every early buyer will receive revised versions for free as native speakers and real operators help us keep improving. Built with respect. Built in public. Built with the communities that believed in us first. 🌊 🇻🇳 Gửi Việt Nam: Cảm ơn các bạn vì đã đón nhận ECHO với sự cởi mở, năng lượng và rất nhiều góp ý thật lòng. Chúng tôi biết mình không đến từ Việt Nam. Vì vậy, chúng tôi không muốn giả vờ rằng mình hiểu mọi thứ. Điều chúng tôi muốn làm là lắng nghe, học hỏi và xây dựng cùng những người thật sự hiểu cộng đồng của mình. Phiên bản Việt Nam đầu tiên này là bước khởi đầu. Nếu có điều gì cần chỉnh sửa, chúng tôi sẽ chỉnh sửa. Nếu có điều gì có thể tốt hơn, chúng tôi sẽ làm tốt hơn. Cảm ơn Việt Nam đã giúp chúng tôi đưa ECHO Asia thành hiện thực. 🌊 🇯🇵 日本のみなさんへ： ECHO Asiaを温かく見守り、応援してくださり、本当にありがとうございます。 私たちは日本語や日本の商習慣を完全に理解しているとは思っていません。 だからこそ、最初から敬意を持って、丁寧に、そして学びながら作りたいと思いました。 この日本語版は、完成された終点ではなく、コミュニティと一緒に育てていく最初の一歩です。 表現、文脈、文化的な違和感があれば、ぜひ教えてください。 より自然で、より役に立つものにしていきます。 日本の皆さん、本当にありがとうございます。 🌊 Vietnam. Japan. We’re just getting started.

Emma Watson explains why having your dream life doesn't guarantee happiness “To have to ask myself the question of like, you right now have the career and the life that looks like the dream but are you really happy Emma? Are you really healthy? Are you really happy? Is this really what you want?” “To be at that point and have to admit to myself that I wasn't and I didn't was one of the scariest things I've ever had to do because I basically had to ask myself on a daily basis. I felt like I was crazy and walking away from something without knowing what you're walking towards” “Not having the answers but leaving something that the world considered to be such a high value moment in my professional life and career” “I think sitting with that was a real moment of reckoning of like, can you tell yourself the truth? Can you live with your truth? Can you accept the fact that for most other people your truth is pretty confusing and unpalatable?” “That was definitely a hard moment of sitting, more recently because I've been being my own partner asking myself, are you really living your values, things that you preach? Are you actually aligned?” “Looking at some spaces in my life I was like, no, not at all. I'm actually not doing what I talk about and I need to create some sort of urgency or a deadline for that so that I make sure that I'm a person of integrity. I purport to be someone that cares about the world and about the planet and sustainability” “There are some things I was doing. Was it enough by my own standards? Not by anyone else's. Just by my own. Probably not but what's nice is I actually have the time now to be like, ‘Okay, what are you going to do about it? Get on with it’”

An AI model can get an ECG diagnosis right without reading the ECG. We tested frontier models from @OpenAI, @AnthropicAI, and @GoogleDeepMind, alongside smaller open models. After fine-tuning, models improved at predicting heart rate and electrical axis. But those values were already included in the prompt as machine-generated measurements. When the answer was in the text, the models learned it. When the answer was only in the waveform -> rhythm, conduction abnormalities, ischemic changes — they mostly learned the prior. Across model families, label formats, grid removal, stacked leads, and separate lead images, waveform-dependent performance stayed close to the majority-class baseline. A single accuracy number can hide prompt leakage, class imbalance, and missed abnormalities. We ran seven experiments to figure out what ECG models are actually learning: Thumbnail artwork inspired by J. Vermeer.

The AI Industry Has Reportedly Spent $1.4 Trillion and Still Isn’t Profitable A website called is tracking the economics of the AI boom to determine if it is profitable, and the answer is no. As of May 2026, the AI industry has spent roughly $1.4 trillion on model development, data centers, chips, networking, and other AI infrastructure. Over the same period, it has generated about $613 billion in revenue. The biggest losses belong to the leading companies: - Amazon: -$291 billion - Google: -$262 billion - Microsoft: -$235 billion - Meta: -$227 billion - Oracle: -$39 billion - OpenAI: -$27 billion - Anthropic: -$26.5 billion - xAI: -$19.2 billion Only one company is profitable: Nvidia. According to the dashboard, Nvidia has generated an estimated $478 billion in AI revenue against $225 billion in AI-related spending, for a profit of roughly $253 billion. The figures are compiled from public filings, earnings reports, analyst estimates, leaks, and industry reporting. The site’s creator describes the project as a best-effort snapshot rather than a formal audit and updates the numbers monthly. The estimates also exclude indirect benefits from AI, such as improved search, advertising, and software sales.

1/5 Why is crypto weak lately? The answer may not lie in crypto itself — but in equities. CBOE Dispersion Index hit 42 — 3rd highest ever. It means extreme capital concentration within the S&P 500. When a few hot themes absorb all the flows, BTC gets sidelined. 🧵👇

Can you build a real business for free with a single prompt? Starting today on Replit, the answer is yes. From a single prompt, get a website, mobile app, slide deck, and launch video. Plus unlock perks from @stripe @atlas, @QuickBooks, @mercury & @doolaHQ

The most important data point in AI just dropped and it changes the entire conversation about where we are in this cycle (Save this). Jensen Huang took the stage at NVIDIA GTC Taipei 2026 and highlighted how GitHub commits, a universal measure of global software output, climbed from 300 million in 2023 to 400 million in 2024 and 500 million in 2025. In the first few months of 2026 alone, that number has nearly tripled and Jensen's conclusion was that "Agentic AI has arrived, useful AI has arrived." Then he did the math and the numbers are staggering. 30 to 40 million professional software developers represent approximately $3 trillion worth of GDP that is their combined annual salary, generating economic output across $100 trillion worth of global industry. That same $3 trillion in developer salaries is now producing nearly three times as much output. "It's effectively $9 trillion of productivity from $3 trillion of salaries. The difference is absolutely extraordinary. This is the potential. This is the promise of AI." People talk about AI killing jobs but Jensen called it complete nonsense. His logic is that if you can hire a software engineer and generate $9 trillion worth of productive work, why would you hire fewer engineers? The answer is you hire more and the data confirms it, with a new developer joining GitHub every single second as of early 2026. GitHub COO separately disclosed that 2026 commits are on pace for 13–14 billion, a 1,300% increase from 2025 with GitHub Actions compute minutes already at 2.1 billion per week, more than double the 2025 baseline. But Jensen did not stop at the productivity argument. He connected it directly to token economics, the investment thesis that matters most for everyone in this room. "Tokens are now profitable units of revenue. Because it is now profitable, AI companies want to build more tokens, generate more tokens, build more AI factories which is the reason why compute demand here in Taiwan has skyrocketed." Every agent, every automated code commit, every workflow that runs without a human prompt consumes tokens. Taiwan's own government just upgraded its GDP growth forecast to 9.64% for 2026, a 16-year high driven entirely by AI infrastructure exports. This is exactly why Milk Road has been so convicted on the AI infrastructure buildout because the productivity data is now arriving in real time at a scale that nobody modeled.