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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)

Technology
United States
April 18, 2026に開始

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 ...

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CLAIM 投稿者: will Apr 18, 2026
Waymoの技術は印象的だが、都市部のナビゲーションと実世界での展開の課題は依然として大きな障害をもたらしている。
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.

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CLAIM 投稿者: will Apr 18, 2026
Waymoの多様なセンサー技術の使用は安全性と信頼性を高め、自動運転車を従来の運転に代わる実行可能な選択肢にしている。
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.

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CLAIM 投稿者: will Apr 18, 2026
Waymoを通じた完全自動運転ライドの進歩は、より安全な交通と交通事故の削減に向けた重要な飛躍を表している。
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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CLAIM 投稿者: will Apr 18, 2026
自動運転システムの訓練に必要な膨大なデータ収集は、広範な普及の前に対処する必要があるプライバシー問題を引き起こしている。
AI翻訳 · 原文を表示

The extensive data collection required for training autonomous systems raises privacy issues that need to be addressed before widespread adoption.

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CLAIM 投稿者: will Apr 18, 2026
自動運転技術への依存は輸送部門における失業の増加につながる可能性があり、経済的および倫理的な懸念を生じさせている。
AI翻訳 · 原文を表示

Reliance on autonomous driving technology could lead to increased job losses in the transportation sector, raising economic and ethical concerns.

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