Grok Bot将原本需要数小时的Claude Code工作缩短到秒级，效率提升惊人。
Gavin Baker表示Grok Bot感觉像是另一个ChatGPT时刻。他使用Claude Code构建内容需要数小时，而创建Grok Bot只需3分钟就能获得更好版本。播客摘要功能在Grok Bot中仅需10秒完成。Substack和X平台的摘要以及X情感追踪工具，使用Claude Code需要数小时，而Grok Bot只需7-12秒且效果更好。
Gavin Baker says Grok Bot feels like another ChatGPT moment because it turns hours of Claude Code wo...
Gavin Baker says Grok Bot feels like another ChatGPT moment because it turns hours of Claude Code work into seconds: "You see these 23-year-old kids and just the way they use AI, they're just fluent and native in it. I just feel like maybe in a way that no matter how hard I try, I will never be, and I'm trying really hard." "We got Claude Code. I built some stuff, did some cool stuff, and in, I don't know, 3 minutes of creating Grok Bots, I had much better versions of everything I created." "I love having a podcast summarizer... It takes 10 seconds in Grok Bot. It's amazing, and it's so good." "A Substack summarizer, an X summarizer, an X sentiment tracker for topics and stocks... All of those would have taken me hours working with Claude Code, and they each took 7 to 12 seconds with Grok Bot. And it's better." "To me, Grok Bot does feel like another ChatGPT moment." @GavinSBaker @DavidGeorge83 Your browser does not support the video tag. 🔗 View on Twitter a16z @a16z Gavin Baker and a16z's David George on the state of the AI boom: The future doesn't have to be winner-take-all. Labs, open-source, applications, and the clouds can all capture value. Demand for intelligence is still dramatically underestimated. Today's power users number in the millions and will grow to hundreds of millions. Gavin and David argue a compute shortage is a more real risk than an AI bubble, and building through it is an opportunity to reindustrialize America. In this episode, they get into why compute investments pay back so fast, what the data center backlash gets wrong, the case for putting compute in orbit, why enterprises will run several models at once, and how Nvidia ended up at the center of the entire supply chain. 00:00 Intro 01:06 The bear case Gavin couldn't find 05:50 Why a lab would cut its own revenue 75% 08:05 What LPs get wrong about a crash 10:50 Microsoft slowed its capex and regrets it 14:33 The engineers spending 100x the median 17:35 Why 23-year-olds use AI better than Gavin 21:45 How much copper 500M AI users need 23:00 Stop promising to cure cancer 26:00 America's richest county is full of data centers 30:48 Who gets priced out of compute 33:05 The age of Elon and Jensen 34:25 Orbital data centers 44:40 Asteroid mining 48:12 Why Microsoft doesn't need a frontier model 54:02 Who becomes the abstraction layer 55:40 Everyone wanted a deity, Cursor wanted a product 1:00:25 Never take shots at Jensen 1:07:40 What happens when the chip doesn't work 1:12:10 What chip deals reveal about customer demand YouTube: youtube.com/watch?v=FGC4of… @GavinSBaker @DavidGeorge83 Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 9 🔄 1 ❤️ 46 👀 16326 📊 12 ⚡