Y 联合首席执行官加里 Tan过去曾开玩笑地承认自己患有"网络精神病"，在沃尔特·艾萨克森(Walter Isaaacson)播客The Builders(The Builders)的一出新剧集中
他告诉艾萨克森，“我每年花费大约100美元到20万美元作为纪念”。 他将agents用于无数的工作项目和编码任务，并在GitHub上自由分享了自己被称为gstack的23个Claude Code的一套技能——这是帮助教别人agents能做什么，他称。
一方面，他用他的agent像许多人一样使用AI：帮助他研究艾萨克森的播客，并准备他可能要问的问题。 另一方面，他的agent也帮助他运行他的生活。
“它读了我所有的电子邮件和我的收发箱。 我所有的Apple 指出，甚至我的疗法指出
他描述，使用AI agents是在“几乎在你日常生活中做的任何事情”上获得帮助的，为了让它更加自主。 把它当做你肩上一直有的Jiminy板球就像，几乎任何你想做的事，它了解你，它在那里帮助。 它实际上会跑在前面说，“这个怎么样？” 也会帮助你看到角落。
作为早期的OpenClaw领养者，他现在是一个电力用户，有些人担心“可重复性和安全性
例如，Y Combinator也在使用agent，即“重建我们在YC的运作方式”。 “我们现在有一个内部的AI agent，例如，它被命名为Stray Light，这种光具有个性，然后它有一个公司的大脑。 就像我们曾经支持过的每个创始人一样
Tan自然是科技爱好者(如任何运行硅谷出名的起动加速器的人)，成本必须降低。
称说，他知道他花在AI agents上的钱是“非每个人都能做的疯狂特权 ”。
但由Big Tech控制的Freebie agents可能也不是答案。 在讨论他希望科技建设的未来，以及Meta作为一个社交媒体公司如何影响我们时，“这样你就能想象一个你控制的个人人工智能，你编程的人工智能。”
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Y Combinator CEO Garry Tan has, in the past, jokingly admitted that he’s suffered from “cyber psychosis” and sometimes barely sleeps because he’s so excited to be working with his AI agents. On a new episode of Walter Isaacson’s podcast The Builders, set to publish on Tuesday, Tan put a price tag on his passion.
“I spend about maybe $100[,000] to $200,000 a year on tokens,” he told Isaacson. He uses agents for countless work projects and coding tasks and has freely shared his set of 23 Claude Code skills, called gstack, on GitHub — an effort to help teach others what agents can do, he said.
On the one hand, he uses his agent the way many people use AI: to help him research Isaacson’s podcast and prep for the kinds of questions he might be asked. On the other, his agent also helps him run his life.
“It’s read all of my email and all of my Dropbox. It’s read, like, all of my Apple Notes, even my therapy notes going back 20 years,” he said.
He describes using AI agents as getting help with “almost anything that you do in your day-to-day life, and for it to do it somewhat more autonomously. Think of it as a Jiminy Cricket on your shoulder at all times. Like, almost anything you want to do, it knows you, and it’s there to help. And it will actually sort of run ahead and say, ‘What about this?’ Or it’ll help you see around corners.”
As an early OpenClaw adopter who is now a power user, Tan says one thing he’s learned is not to treat AI agents like traditional software. Some people are so worried about “repeatability and safety that they actually trade off all of the beautiful parts of working with an AI agent, which basically can be so similar to a human,” he said.
For instance, Y Combinator is also using an agent that is “rebuilding the way we operate at YC,” he said. “We now have an internal AI agent, for instance, named Stray Light that kind of has a personality, and then it has a company brain. Like it actually has the total context of every founder we’ve ever backed, anyone who’s ever emailed us, like all the applications.”
Tan, who is, naturally, an avid lover of technology (as anyone running Silicon Valley’s famed startup accelerator would be), believes personal AI agents will eventually become mainstream, if one major problem is solved: Costs have got to come down.
“It’s too expensive right now,” he said, adding that he knows the amount of money he spends on AI agents is “a crazy privilege that not everyone can do.”
But freebie agents controlled by Big Tech maybe aren’t the answer, either. When discussing the future he’d like tech to build, and how Meta as a social media company has impacted us, he said, “This is a huge company that controls the algorithm, and we all wish that they didn’t at some level,” he said. “So you could imagine a personal AI that you control, that you program.”
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