千亿帝国 Palantir 为什么长期给新员工发表演书？
身价百亿、前 Scale AI 创始人兼现任 Meta 首席 AI 官、muse负责人的 Alexandr，给出深度拆解： 不是教你搞诈骗，而是在复杂的企业级市场里，用顶级剧团的气场把好产品的价值放大十倍，
这也几乎讲透了企业级商业最残酷的一句大实话： https://t.co/I4dHaqdhmW
好莱坞顶级明星本·阿弗莱克在访谈里聊起 AI 技术，一开口就把全场科技圈的人给听愣了：
他不仅自己会写 Python 脚本，懂卷积神经网络，常年亲自用 GPU 跑视觉特效，
当年甚至直接利用奥斯卡巨星的身份，给 Google 和 OpenAI 高层打电话刷脸，提前跑到内部去参观他们还没发布的底层视频模型。
大家以为他只是个演蝙蝠侠的当红演员，
但很多人不知道，他在成立制作公司之前，自己就开过一家深耕视效和机器学习的后期工作室。
在视频里，他用两分钟大白话把高深的算法讲得比很多技术博主还要通透：
他说图像在计算机眼里就是一串叫张量的数字，
包含批次编号、帧编号，以及画面里每一个像素的红绿蓝 RGB 数值；
以前好莱坞抠绿幕、换背景，靠卷积神经网络去识别窗台或边缘特征，
而现在的 Transformer 架构，能一口气把这些计算并行跑在成千上万个张量上。
当团队告诉他 Google 和 OpenAI 开始用 Transformer 做视频生成时，
他抄起电话打过去说：嗨，我是本·阿弗莱克，我能去你们实验室看看你们在做什么吗？
两家顶级巨头当场开门放行，让他直接看到了最机密的内部研发进程。
这不仅是一段名人探班的趣闻，更点出了顶级创作者在技术浪潮里最核心的壁垒：
懂一线电影工业的真实痛点，懂底层代码和张量的物理限制，
再加上无可替代的顶级人脉资源，
这正是为什么他带队的 16 人后期 AI 团队，后来能被 Netflix 以 5.87 亿美元现金全资收购。
懂技术的极客不懂电影，懂电影的导演不懂代码，
而当一个手握奥斯卡奖杯的导演开始亲自写 Python 时，整个行业的代际差距就被瞬间拉开了。
在各行各业里，你都见过哪位跨界大牛对新技术的理解深度，曾彻底打破过你的刻板印象呢？ https://t.co/YMER7DETUX
引用：Ben Affleck reveals he writes Python, understands convolutional neural networks, worked extensively with GPUs, and used his celebrity status to get private looks at Google and OpenAI’s video models
“I’ve always been kind of into computers since I was young. Then, when film started to move from analog film to digital, I became more interested in that aspect of it. The visual-effects workflow for many years has included machine learning, so I can write pretty shitty Python scripts and stuff like that.
“With convolutional neural networks, which were the precursors to what the transformer can do, which is much more computation simultaneously, you would do things like look at what’s called a tensor. That’s the numerical translation of a visual image in numbers, like the batch number, the frame number and the red, green and blue values of each pixel in each frame. It’s just that simple. That numeric is called a tensor.
“You’d use a convolutional neural network to identify patterns that reveal what’s called edge detection or feature extraction, which is identifying patterns well enough to know, this is where the window ledge is, so we can more easily take the green-screen image out and replace it with something.
“That was familiar to me early on because, prior to Artists Equity, I had a small visual-effects company. I’ve worked with GPUs a lot too. The visual-effects guys said, ‘Hey, you should see. There are a couple: Google and this other company, OpenAI, are doing really interesting stuff with transformers in video.’
“I’ve learned that I can actually just call up and go, ‘Hey, it’s Ben Affleck. Can I come see what you’re doing?’ Sometimes people say yes, to my astonishment.”