跳到正文
martin_casado· @martin_casado · X·· 3 小时前
事实摘要

我保证你能从中学到东西。这是我做过的最深入的讨论之一,涉及机器人端到端经济学、机器人公司为何趋于垂直化、长尾的复杂性等。

正文 · 原文

I promise you'll l earn something from this. It's one of the more in depth discussions I've ever had on end to end economics of robotics, why robotics cos tends to verticalize, the complication of the long tail, etc.

引用a16z@a16z
Tutor Intelligence co-founder and CEO Josh Gruenstein is putting AI robots to work in American factories and warehouses, taking on the back-breaking jobs they can't hire for. Tutor builds its robots in Massachusetts and charges by the hour, with no upfront cost. When the AI gets stuck, a human "tutor" takes over and teaches it the task, creating training data along the way. Josh joins a16z's Martin Casado and Raghu Raghuram to discuss how Tutor goes from a first sales call to a working robot in about three months, why so many robot startups died building for a single customer, why anyone will be able to start a business in the physical world, and a whole lot more. 0:50 Deploy robots, then build the data 2:50 Why smart robots aren't enough 4:38 The ultimate systems problem 6:45 Why robot companies go vertical 9:07 How remote humans tutor robots 11:00 Will robots outgrow their tutors? 14:54 How AI labs sped up robotics 16:57 Meet Cassie and Sonny 20:55 What factory work actually looks like 23:18 A robot for $16 an hour 25:51 When robots become coworkers 29:04 Why robot startups keep dying 31:21 When 1% cheaper flips a market 34:52 Robots cost more to run than to buy 38:18 China's automation bet may backfire 42:02 Real-world RL on a 100-robot fleet YouTube: https://youtu.be/lXkjXSul6yg @joshgruenstein @tutorintel @martin_casado @RaghuRaghuram
在 X 查看被引用的帖子

来源:martin_casado · x.com

所属事件:a16z 对话探讨 Tutor 机器人经济学