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每次我提 agent browser，都有推友说说 ego lite 强，我一直拖延症爆发是因为我不想下一个新的浏览器应用，今天有空终于试了一下，确定已经是非常强了，可以一件导入chrome 的状态这个很方便，试了下几个复杂流程执行成功率也挺高，人机并行也很方便。 当然它现在好像只有 mac 和 windows，我很多开发公族哦的 E2E 现在都是在 grok bot 上跑的，暂时还没发替代 agent browser，假如是本机使用，使用 ego lite 配合他的 skill 确实更强大。

An American porn actress says a single shoot in Madrid involved 80 men and nearly a liter of semen. She counted 122 ejaculations, followed by another 10 onto her face. The night before, she had sat across from the director asking about pay and medical testing. He answered by opening a spreadsheet. In the interview below, she describes how the production was organized, from recruiting performers to deciding when she could take a break. According to her, the studio maintained a roster of around 300 men in Madrid. Getting onto it required a referral. Test results fed into the spreadsheet so the crew could track who was cleared to participate. The men could earn more depending on the shot they delivered. She says she was given three medications before filming, including one she describes as a muscle relaxant. Nine women worked as fluffers. Their waiting room had pink furniture and candy on the table. Outside, the men lined up while her videos played on a television. The shoot followed a repeating schedule: ten ejaculations into her mouth, swallow, then another ten. After fifty, she took a break and recorded an interview before returning. One assistant held a bowl beneath her chin to catch whatever spilled. She says the role even had a name: “scooper.” Amid all that coordination, she remembers one man missing and quietly apologizing. “I’m so sorry. I’m so sorry.” For the final sequence, she requested ten men instead of the usual five. Then the director addressed the group in Spanish. One word caught her attention: “ojos.” Eyes. Afterward, she asked whether he had instructed them to aim at her eyes. He denied it. According to her, he had repeated something she mentioned over dinner - that she didn’t mind and the men interpreted it differently. She has since referred other American performers to the production. “I’ve sent them so many Americans.”

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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.

>Jensen Huang gets ousted from Nvidia literally 12 hours ago >OpenAI and Anthropic immediately form an alliance to back congress to ban AI chip exports to china This was a targeted takedown.

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