The Scaling Era: An Oral History of Ai, 2019-2025
暫譯: 擴展時代:人工智慧的口述歷史,2019-2025

Patel, Dwarkesh, Leech, Gavin

  • 出版商: Stripe Press
  • 出版日期: 2025-10-08
  • 售價: $1,410
  • 貴賓價: 9.5 折 $1,339
  • 語言: 英文
  • 頁數: 248
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1953953557
  • ISBN-13: 9781953953551
  • 相關分類: Large language model
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

An inside view of the AI revolution, from the people and companies making it happen.

How did we build large language models? Is scaling them up all we need to create general intelligence? How do they think, if they think? Will we be able to make them share our goals--and what happens if we can't?

In a series of in-depth interviews with leading AI researchers and company founders--including Anthropic CEO Dario Amodei, DeepMind cofounder Demis Hassabis, OpenAI cofounder Ilya Sutskever, MIRI cofounder Eliezer Yudkowsky, and Meta CEO Mark Zuckerberg--Dwarkesh Patel provides the first comprehensive and contemporary portrait of the technology that is transforming our world.

Drawn from his interviews on the Dwarkesh Podcast, these curated excerpts range from the technical details of how LLMs work, to the economic, philosophical, and safety considerations of creating artificial general intelligence. Patel's conversations cut through the noise to explore the topics most compelling to those at the forefront of the field: the power of scaling, the potential for misalignment, the sheer input required for AGI, and the economic and social ramifications of superintelligence.

The book is also a standalone introduction to the technology. It includes 170 definitions and 17 visualizations, explanations of technical points made by guests, classic essays on the theme from other writers, and an unpublished interview with Open Philanthropy research analyst Ajeya Cotra.

The Scaling Era offers readers unprecedented insight into a transformative moment in the development of AI--and a vision of what comes next.

商品描述(中文翻譯)

AI 革命的內部視角,來自推動這一變革的人們和公司。

我們是如何建立大型語言模型的?將它們擴展到更大規模是否就是創造通用智慧所需的一切?它們是如何思考的,如果它們會思考的話?我們能否讓它們與我們的目標一致——如果不能,會發生什麼?

在與領先的 AI 研究人員和公司創始人的一系列深入訪談中——包括 Anthropic CEO Dario Amodei、DeepMind 共同創始人 Demis Hassabis、OpenAI 共同創始人 Ilya Sutskever、MIRI 共同創始人 Eliezer Yudkowsky 和 Meta CEO Mark Zuckerberg——Dwarkesh Patel 提供了對這項正在改變我們世界的技術的首個全面且當代的肖像。

這些摘錄來自他在 Dwarkesh Podcast 上的訪談,涵蓋了從大型語言模型(LLMs)如何運作的技術細節,到創造人工通用智慧的經濟、哲學和安全考量。Patel 的對話穿透噪音,探討了對於這一領域前沿人士最具吸引力的主題:擴展的力量、潛在的錯位、實現 AGI 所需的巨大輸入,以及超智能的經濟和社會影響。

本書也是對這項技術的獨立介紹。它包含 170 個定義和 17 個可視化,解釋了嘉賓提出的技術要點,其他作家的經典文章,以及與 Open Philanthropy 研究分析師 Ajeya Cotra 的未發表訪談。

擴展時代 為讀者提供了前所未有的洞察,揭示了 AI 發展中的一個變革時刻——以及未來的願景。

作者簡介

Dwarkesh Patel is the host of Dwarkesh Podcast, where he produces deeply researched interviews with both obscure intellectuals and the most influential figures of our time.

作者簡介(中文翻譯)

Dwarkesh Patel 是 Dwarkesh Podcast 的主持人,他製作深入研究的訪談,對象包括鮮為人知的知識分子以及當今最具影響力的人物。