モデルからモビリティへ:Waymoをともに構築する(ドミトリ・ドルゴフとの対談)
Waymo is now delivering hundreds of thousands of fully autonomous rides each week — but getting there required more than better models. It meant building a complete system for training, evaluating, and deploying a driver in the real world. In this episode — originally aired on the Cheeky Pint podcast — Waymo Co-CEO Dmitri Dolgov joins John Collison to break down how self-driving actually works today: from sensor fusion across LiDAR, radar, and cameras, to simulation, “critic” models, and the ...
ソース記事
Acquired Podcast (United States) | Apr 17, 2026
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AI翻訳 · 原文を表示
While Waymo's technology is impressive, the challenges of urban navigation and real-world deployment still pose significant hurdles.
AI翻訳 · 原文を表示
Waymo's use of diverse sensor technologies enhances safety and reliability, making autonomous vehicles a viable alternative to traditional driving.
AI翻訳 · 原文を表示
The advancement of fully autonomous rides through Waymo represents a significant leap towards safer transportation and reduced traffic accidents.
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The extensive data collection required for training autonomous systems raises privacy issues that need to be addressed before widespread adoption.
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Reliance on autonomous driving technology could lead to increased job losses in the transportation sector, raising economic and ethical concerns.
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