在路上
528 posts


嗯哼火锅花费3.99万,整场贡献不少乐子。 帽子叔叔来了、只能吃套餐不准加菜、一桌人吃一个双人餐。 点评:有的吃就不错了,币圈韭菜人生第一次见到回头钱。


Grok 4.5 is looking like a success with help from Cursor data but underneath the surface we expect future Grok/Cursor model training is likely to speed up in the coming months. We've spent several months getting up to speed on the SpaceXAI business, especially the tech underneath it. The C rewrite was under appreciated by the investor community so we dug in to quantify its impact. including building a physics first model that functions as a stopwatch for the SpaceXAI model factory. Bottomline: C-rewrite gets SpaceXAI faster model cycles, leveraging 33% more tokens/second/GPU against SOTA competition resulting in the potential to shipping new models every ~3.5 weeks. two core learnings from this modeling exercise: 1: the training cycle speed up is primarily coming from RL (not pretraining) where the increased tokens/second/GPU advantage can shave up 2+ weeks off full model training cycle. 2: the rewrite itself should compound the time savings as model sizes grow. at ~2T shaving off 2-3 weeks, ~8 weeks at 6T, and 15 weeks at 10T. Note: a 20T parameter model likely runs into a data bottleneck prior to a training speed bottleneck but the directional advantage stands. Also we assume tokens/second/gpu advantage will melt over time as competitors try to match it. when you do the math, in true SpaceX and Elon fashion, it looks like they are attempting to build a SOTA model factory that can pump out bigger models faster than anyone else. Full analysis here for the public: research.33fg.com/analysis/what-…

正对gate说我自己完成的人脸认证,现在我公开视频铁证回应: 2026 年 07 月 04 日 19:44:XX UTC+8,整段时间内,我(黑衣男)全程在抱着我儿子玩耍,没有拿起手机做人脸识别,也没有进行任何 Gate 安全项重置操作。视频原文件我已完整保留,可提交给警方、律师和司法机关核验。相信人民群众的眼睛,gate又应该如何解释我的人脸识别风控?






















