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2026/05/23 PlayX4 2026 에픽세븐 - 해군 대령 랑디(@MAHO_COS) #에픽세븐# #EpicSeven# #エピックセブン# #랑디# #Landy# #ランディ# #에이크라운# #ACROWN# #코스프레# #コスプレ# #cosplay# #킨텍스# #KINTEX# #PlayX4#

On January 15, 2025, Falcon 9 successfully deployed Firefly Aerospace’s Blue Ghost Mission 1 and ispace’s RESILIENCE lunar landers on a trajectory to the Moon from pad 39A in Florida. For most of our missions, we plan a controlled deorbit of the Falcon second stage so it safely reenters over the ocean. For higher energy missions like those to a lunar transfer orbit, nearly all performance on the vehicle is devoted to successfully placing the payload in the intended orbit, and a controlled disposal maneuver is not always possible. We actively work to be as responsible as possible with hardware left in space to ensure space safety, including for more complex missions. In this case, over time, solar activity and gravity led the second stage toward the Moon. Impacts like this are rare, but they can happen with objects in these types of orbits, and we worked with NASA on the optimal disposal solution. Our focus remains on advancing reliable access to space while working toward even more sustainable operations with Starship in the future. As a fully reusable vehicle, Starship is designed to eliminate expendable upper stages entirely, reducing hardware left in orbit and enabling even more missions to the Moon, Mars, and beyond.

I just landed in Shanghai 🇨🇳 I’ve had the best shrimp wontons ( 鲜虾馄饨) and I can’t believe how quiet the streets are. There are people everywhere but EV adoption is huge, so it’s like a giant beast moving silently. My hotel room AC goes down to 18 (real) degree and Chinese people are super kind and helpful.

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?

Okay, the @VulcanBench results for Qwen3.8-Max are in, and it is not what I expected. First, for anyone new to VulcanBench, here's a quick TL;DR on the eval suite: 23 frontier-hard software engineering tasks taken from real merged OSS PRs, run in a Docker sandbox, 3 runs per task across all three of its effort levels. No puzzles, no random abstract stuff, all real things engineering teams would do with these models. It looks like Qwen3.8-Max has a major overthinking problem, it uses a LOT of tokens and is very slow, period, no other way to see it. My cost to run this benchmark was $126.25, to run the exact same eval suite with DeepSeek V4-Flash was only $13.60. This makes Qwen3.8-Max an insanely expensive model. The tasks Qwen genuinely can't solve fail at every effort level, extra reasoning didn't help. The regression is almost all in work it already handles: six tasks that low solves every single time account for 83% of the 26-point drop, three of them collapsing to zero. It's not losing the hard problems. It's losing the ones it already knows how to do. Since Qwen3.8-Max hit a lot of wall clock budget caps, I thought I'd share more about this. - VulcanBench caps both steps (50–200) and wall clock (5–60 min), each scaled by repo size. - This is aligned with how comparable harnesses bound agents, DeepSWE caps rollouts at 100 environment steps, sitting right inside my step range; Terminal-Bench enforces a per-task wall clock; SWE-bench Verified scaffolds typically allow 20–60 min per instance with 250–350 step limits. - Every model on my chart gets the identical budget, and Qwen is the slowest model I've tested at 20–25 min/task. Soooo... Alibaba positions Qwen3.8-Max as trailing only Claude Fable 5. But on the kind of real coding work engineering teams would actually throw at it, under a fixed budget, its best setting lands mid-pack and its default lands last, so common. If you want to optimize for accuracy, Grok 4.5 is the move. If you want accuracy per dollar, DeepSeek V4-Flash is hard to beat, heck it's 10× cheaper than Qwen and you get higher accuracy. Qwen just isn't in the game at this point, this is not a model I could see engineering teams using for daily coding work.

My triggered podcast coming up 6 pm et @rumblevideo with AJ Rice, author of new book “the curse of the bearded lady”, all about the trans mafia and woke insanity taking over the Democrat party, don’t miss it!!!

Agent-pilled sales teams are building custom landing pages + demo videos for every buyer in their outbound campaigns Response rates are in a different league This agent runs 24/7 in a loop: >finds prospects with real buying signals in @useapolloio >builds a custom page for each of them >embeds a custom demo video rendered with @HyperFrames_ Get this agent, Signal, on Hyperagent Marketplace: