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A Chinese developer recorded a 2 minute video on his solo day trading setup. Three monitors showing live order flow. Mechanical keyboard. Microphone arm. Posted it to Bilibili expecting maybe 100 views. While the West argues about whether AI will replace solo day traders, China is already filming the solo day traders for them. This guy was trying to show his setup. He just showed too much. Pause at 1:04. Look past the trading chart. Look at the reflection on the right edge of the monitor. The second desk behind him. Then look further back. That is not his apartment. That is a content farm. He had recorded a tutorial about being a solo trader. He had forgotten the wide shot showed five other desks behind him. The five other desks belonged to five other content creators paying eight hundred yuan a day to rent the setup. The comment section turned into a detective board. Someone slowed the video to 0.25x. Screenshotted every frame where the back of the room was visible. Stitched them together. Identified the coworking space from the chair model. The setup is not for trading. The setup is for filming. Three monitors running paper trading accounts the content farm rotates between renters. One AI agent trades the paper accounts every day for forty seven different solo trader brands. Six months ago a 14 year old in Shenzhen pushed an AI agent to GitHub. Judges said no real world application. 3,100 forks later. The content farm had been one of the early adopters. The agent now runs the paper trades viewers think are real. He deleted the video three hours later. Too late. Someone had already screen recorded it. The clip hit Discord. Then Telegram. Then Weibo. The original tutorial had 200 views. The clip of the back of the room has 400,000. 600K people watching the empty desks now. He has not posted anything since. The monitors are still on. The paper accounts are still trading. The content farm is still renting the desk. He wanted to show people how he made it as a solo trader. He accidentally showed them what his desk does when forty six other people rent it.

一週有七天而我有八天在想你 也許這首歌已經過時，但我對妳的愛永不過時❤️。 There are seven days in a week and I miss you eight days Maybe this song is outdated, but my love for you will never be outdated❤️. 舞蹈#肌肉##locking##seven##幹話日常#

Why the Overpopulation Narrative Endures Despite Physical Reality and Elon Musk’s Analysis Overpopulation is the most nihilistic lie ever told. The environmental movement started with a valid point: we need sustainable energy to avoid depleting finite fossil resources and messing with the atmosphere long-term. That core logic is sound that's why Tesla exists. But it got twisted into anti-human Malthusianism: viewing people as the virus, not the solution. Some now openly say eight billion humans make Earth better off with zero. That's insane. Look at the actual scale. All 8+ billion people on Earth could stand shoulder-to-shoulder on a single floor of New York City. Fly from LA to New York and 99.9% of the time you're not over a single person. Vast empty land everywhere. The cross-sectional area of humanity is tiny. Cities create a local illusion of crowding the planet is massively underpopulated. The real risk isn't too many people. It's collapsing birth rates. Fertility is falling below replacement across the developed world, now even in places like India. This is accelerating. Population collapse is the greatest threat to civilization by far worse than climate, AI, or anything else short of asteroids. We've seen it doom past empires. More humans = more brains solving energy, AI, robotics, and making life multiplanetary. We are the consciousness of the universe waking up, expanding from this single fragile planet against entropy. We need to become a spacefaring civilization, not manage decline. Humanity is not a plague. We are the bootstrap for something far greater. Stop the propaganda. Have kids. Build. Expand. Credit: @ZubyMusic I @elonmusk

Funny enough, this is already the third post in my Waza skill design series. Today’s one is about /think, the skill I use for solution design before writing code. I have two settings in Claude Code that I find especially useful. The first is /model opusplan, which means planning is done with Opus while execution runs on the regular Sonnet model. That helps me save Max usage for the places where it matters more. The second is that I usually run Claude Code with alias c="claude --dangerously-skip-permissions". I would not recommend that to less technical users. I use it because I know what it is doing, and mostly because I am lazy. Back to /think. How do you get the strongest model to produce better technical plans? It starts with the model itself. Models tend to avoid taking a position. I prefer engineers who can give a clear recommendation. So the first thing I do is require the model to have a point of view. It must state its recommendation, explain what evidence could overturn it, and avoid empty lines like “There are many ways to think about this.” Giving two or three options is fine, but it has to make a clear recommendation, and it must always include a minimal option. But a plan is not done just because it sounds good. The second step is to make it argue against itself. Under what conditions would this plan fail? If those problems can be fixed, the fixes should be folded back into the plan and the revised version presented again. If the plan breaks under certain conditions, it has to say exactly where and why it fails. That way, by the time the plan reaches you, the tradeoffs are already visible. I also go fairly deep on validating the premises before planning starts. First, it checks whether it is even looking at the right part of the codebase. I have seen models produce plans against the wrong path. Then it looks for older technical design docs to avoid reinventing work that already exists. After that, it searches GitHub to see whether similar problems have already been solved elsewhere. Only after those three steps does it start proposing solutions. That helps prevent the entire plan from being built on a bad assumption. There is also complexity grading. If the work touches more than eight files or introduces a new service, the plan must explicitly call out the scale. If data flows across more than three components, it has to draw an ASCII diagram and look for cycles. API keys and third-party dependencies also have to be listed during the planning phase, so you do not waste time or end up with a plan that depends on shaky assumptions. There is one more hard rule. The plan cannot contain things like TBD, TODO, “we can decide this later,” or vague phrases like “similar to step N.” That goes back to model behavior again. Once you leave that kind of escape hatch, execution tends to drift, skip work, or fill in the blanks poorly. I try not to leave the model any room to wiggle out of precision. The output format is also strict: what we are doing, what we are not doing, which option was chosen and why, three to five decision factors, and a clear list of unknowns. /think does not write code. Execution only starts after the user approves the plan. When I built this skill, I was really trying to capture how strong technical experts approach solution design: investigate first, form a clear recommendation, make decisions decisively, leave no loose ends, and improve the plan immediately when something invalidates it. If you have better ideas for planning and solution design, feel free to contribute to Waza.

🚨 BMW HAS SOLVED ONE OF HYDROGEN’S BIGGEST PACKAGING PROBLEMS. The company has developed a new “Hydrogen Flat Storage” system for the iX5 that uses seven slim hydrogen tanks instead of two large ones. This flat design fits into the same space as the high-voltage battery pack used in the electric iX5. This is significant because it allows BMW to build the hydrogen-powered iX5 on the same production line as petrol, diesel, plug-in hybrid, and fully electric versions without major changes to the factory or vehicle architecture. The system stores 7kg of hydrogen at 700 bar and gives the iX5 an estimated range of 385 miles. BMW plans to start series production of the iX5 Hydrogen in 2028, using a fuel cell developed in partnership with Toyota. Why this matters: • One of the biggest barriers to hydrogen vehicles has been packaging the tanks without sacrificing interior space or requiring completely separate production lines • This modular “flat storage” approach makes hydrogen powertrains much more practical to manufacture at scale • It gives BMW flexibility to produce multiple powertrains on one platform depending on demand and regional infrastructure The deeper implication: While battery electric vehicles currently dominate, BMW is continuing to develop hydrogen as a parallel technology, particularly for larger vehicles and longer-range applications. Being able to build both BEVs and FCEVs on the same line is a pragmatic engineering step that could make hydrogen vehicles more commercially viable in the future if the refuelling infrastructure catches up. Follow for more frontier automotive and energy technology.

⚽️Hey hey, something fun to share with you all The World Cup kicks off tomorrow — and we’re dropping the first batch of 30 Choice Player Card NFTs today, launching on @jumpbot_fun . Super simple to play — use $CHOICE to open packs, and we’ll double the entire prize pool. Every dollar you put in, we match it. Here’s the exciting part — whoever wins the Golden Ball, the holder of that card splits a $200,000 $CHOICE prize pool. Total prize pool worth seven figures dollar. Get in now while it’s still early. Who are you betting on? 🃏

Hudson Yards just got a lot more colorful. The Hisense RGB Pop-up is officially open. Seven days. Three colors. The Real Game Begins in the middle of New York City. From the Color Pitch to the Digital Mirror to the VAR booth… It's all here, and it starts today. Come find us at Hudson Yards. Open now through June 14th. Exclusive onsite rewards alert: Participate in all activities to receive a free gift, and post on social media with the event hashtag for a chance to win exclusive Vessel tickets! You could even win official FIFA World Cup 2026™ Match Tickets!

You train hard. You sleep okay. You eat clean. And your brain still isn’t as sharp as it was three years ago. You’ve felt it. The 2pm fog. The reread-the-same-line. The decision you’d have made in ten seconds at 25 that now takes an hour. It’s not age. It’s seven inputs you’re getting wrong by accident: sleep, glucose, attention, breath, movement, caffeine, light. I put the fix into a 30-day protocol. No supplements. No gadgets. Shoes and a notebook. I’d take a 20 percent edge on focus over another supplement any day. So I built it. That is the whole thing 👉