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「SPA!FES2025」ありがとうございました🎀 たくさんのペンライトと熱いコール🔥 最高の空間でした🫧 みんなと楽しい思い出がまたできたね！！ また出演できますようにー！！！！ #SPAFES2025# #SKE48#

#スパフェス# ありがとうございました！！🩷🩷🩷 すごく一瞬に感じました！楽しかった！ 一緒に盛り上がってくれてありがとう🫶🏻  ︎︎ #SPAFES# #SKE48#

「SPA!FES 2025」 チームEのメンバーで出演させていただきました💚 たくさんのご声援、 ありがとうございました！✨ #SPAFES# #スパフェス# #SKE48# #青木莉樺# #浅井裕華# #大村杏# #河村優愛# #中坂美祐# #西井美桜# #森本くるみ#

今日は『SPA！FES』に出演します✨ 当日券もあるみたいです！！ SKE48はSpotify O-WESにて20:25〜 出演させていただきます！！ 楽しい思い出作りましょー✊🏻💚 #SPAFES2025# #SKE48#

「SPA!FES 2025」 🗓️11月29日（土） 📍Spotify O-WEST / duo MUSIC EXCHANGE / SHIBUYA RING 本日！ #SKE48# は20:25〜20:50（Spotify O-WEST） に出演させていただきます🎶✨ #SPAFES# #スパフェス# #青木莉樺# #浅井裕華# #大村杏# #河村優愛# #中坂美祐# #西井美桜# #森本くるみ#

Catching @spaceX starship doesn't mean its human-rated yet. It'll have to go through may itterations till it takes humans to spaces and humans to the moon (these would be 2 different versions of Starship - One for space and back, one for moon and back

What's happening at Starbase, Texas is truly incredible. Deep in south Texas, Musk and his team have pulled in some of the most brilliant people on Earth to make space travel as normal and boring as air travel. The energy there is just insane. It feels like a modern day Manhattan project, but built for peace not war. The building pictured below is the actual factory where they build Starship, like a car factory for spaceships. You probably wouldn't have guessed it, since it looks like a nice office building. Most factories are cold and industrial but Starfactory feels warm, clean, with design touches that make you feel like you're in Silicon Valley. There's something really special happening here. I envy everyone who gets to work here and live here. Most people never get a chance to devote themselves to something so meaningful, something that potentially bends the river of human history. It kind of feels like a college town, except everyone's building spaceships instead of going to class.

I am actually disgusted by the timing of this drop. And this will get a bit more technical. Let’s do a real technical teardown of this "1,385-sigma Blackwell weight fingerprint" report that OpenAI and Anthropic are breathlessly promoting today, because banking on nobody reading past the headline is how DC narratives get manufactured. ​First, look at the actual CUDA maths: when PyTorch initialises model weights (torch.nn.init) with a fixed PRNG seed, curand/Philox parallelises random number generation across the GPU’s Streaming Multiprocessors (SMs). Because Hopper has 132 SMs and Blackwell has 148 or 152 SMs, the exact same seed lays out initial weights in a different spatial pattern depending on the GPU’s SM count. In huge MoE models, certain low-gradient null-spaces or unrouted slices preserve faint directional traces of those step-0 weights even after training. ​So yes, brute-forcing the seed and SM grid can show that a model’s step_0 weight initialisation script ran on a 148/152-SM Blackwell GPU. Now read what the summary explicitly admits in the fine print: 1. Initialisation is not full training: The report literally states that these signatures show how the weights were created, and "support (but do not prove) the inference that Blackwell also participated in model training". Initialising a model checkpoint takes seconds on a single rented dev node before loading the safetensors onto a standard Hopper cluster. The "2,000 to 3,000 Blackwell GPUs" and "$500 million" cluster numbers do not come from the weight fingerprint and Depue admits in his own thread that he simply "estimated" cluster sizes from release schedules and model details. ​2. Zero geolocation and zero proof of smuggling: The final sentence of the executive summary explicitly admits that the findings "do not establish the physical location of the chips, how they were acquired, or whether export control regulations were violated". Depue himself rented a cloud GB200 instance just to run his verification test. Commercial labs that are not on the Entity List renting bare-metal Blackwell nodes in offshore clouds (Singapore, Japan, or the Middle East) is completely legal under BIS rules and leaves the exact same SM fingerprint. Now ask yourself why a former OpenAI researcher dropped this on November 12, the exact day Jensen Huang was pushed out, with OpenAI and Anthropic immediately stepping in to "independently verify" it. US closed-source labs are watching their paid API moats get eaten alive by free Chinese open-weights models. Conflating a step-0 PRNG initialisation seed with a "$500M smuggled Blackwell cluster" hands DC hawks the exact pretext OpenAI and Anthropic want to regulate global cloud compute and kneecap open-source AI.