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Imagine driving a single route that takes you along China's entire land border and coastline. That is exactly what a massive new 27,000-kilometer loop will make possible. According to the Ministry of Transport, China plans to build this super-highway during the 15th Five-Year Plan period (2026–2030) by linking three major routes—the G219, G331, and G228—end to end. Tracing the country's borders and coastline, the journey will stretch more than half the length of the Earth's equator. Far more than a transportation corridor, the route weaves together hundreds of scenic areas and historic cities, offering a journey across some of China's most diverse landscapes. G219 runs about 10,000 km from the Kanas Scenic Area in northwest China’s Xinjiang to Dongxing in south China's Guangxi, crossing deserts, the Qinghai-Xizang Plateau, the Himalayas, and other spectacular terrain. G331 stretches about 9,200 km along China's northern border, taking travelers through the vast grasslands of Inner Mongolia, the fertile plains of northeast China, and iconic destinations including Fuyuan, Mohe, Changbai Mountain, and the Greater and Lesser Khingan Mountains. G228 extends about 7,400 km from Dongxing in Guangxi to Dandong in Liaoning Province, linking China's coastal provinces and dozens of seaside cities. Running across major rivers including the Pearl, Yangtze, Yellow, and Yalu, it offers sweeping views of the country's coastline. If you could explore one part of this epic loop, where would you start?

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Only if education could be this interactive ❤️‍🔥 I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it. A 3D human anatomy application built with @threejs using GPT 5.6 Sol. It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one. Next, I converted each of those images into 3D models using @tripoai (and no, they didn't sponsor this 😄). After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models. Codex built the first version beautifully, but there was one big problem. Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps. After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand. Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that. The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step. It genuinely felt like building something that could make learning anatomy much more engaging. The inspiration came from @DilumSanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day." And I did it :D Live: Code:

Over the past three months, DeFi contracted across the board. Spark was the exception, posting notable growth across all major categories. - TVL: Spark TVL grew 16.4% while total DeFi TVL fell 23.5% - Lending: Spark active loans grew 81% while across major lending protocols’ active loans declined 25.5% - Savings & Allocation: Spark TVL on Ethereum grew 19.2% while major yield protocols declined 21% A single metric moving up can be easily gamed. But when every part of the system grows in tandem, that's virtually impossible to manipulate. That is exactly what sets Spark apart from its competitors. Across the same stretch, Spark ended larger on every line while the market contracted on each.