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国际商会(ICC):2024生成式AI与虚拟世界的竞争报告(英文版)(17页).pdf

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1、 Competition in generative AI and virtual worlds Response to the European Commissions call for contributions ICC|March 2024|Competition in generative AI and virtual worlds|2 Please cite as:ICC(2024),Competition in generative AI and virtual worlds-Response to the European Commissions call for contrib

2、utions.https:/iccwbo.org/news-publications/policies-reports/competition-in-generative-AI-and-virtual-worlds Copyright 2023 International Chamber of Commerce All rights reserved.ICC holds all copyright and other intellectual property rights in this work.No part of this work may be reproduced,distribu

3、ted,transmitted,translated or adapted in any form or by any means,except as permitted by law,without the written permission of ICC.Permission can be requested from ICC through publicationsiccwbo.org.This document,as well as any data and map included herein,are without prejudice to the status of or s

4、overeignty over any territory,to the delimitation of international frontiers and boundaries and to the name of any territory,city or area.ICC|March 2024|Competition in generative AI and virtual worlds|3 The International Chamber of Commerce(ICC)as the institutional representative of more than 45 mil

5、lion companies in over 170 countries welcomes the opportunity to participate in the European Commissions(the Commission)call for contributions.ICC expresses its appreciation for the Commissions interest in understanding the potential impact of generative AI on competition and innovation in the digit

6、al economy.Generative AI is a rapidly evolving and promising field of artificial intelligence that can produce novel and realistic content,such as text,images,audio or video,based on existing data or models.Generative AI has a vast range of applications across numerous sectors and domains,such as ed

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本文是国际商会(ICC)对欧盟委员会关于生成式人工智能和虚拟世界竞争问题的回应。主要内容包括: 1. 生成式人工智能(AI)的主要组成部分包括数据、计算能力、资本和技术专长。数据是训练AI模型的关键,计算能力是训练AI模型所需的资源,资本是开发AI模型的必要条件,技术专长是开发AI模型的基础。 2. 生成式AI的进入和扩张主要受上游GPU和云计算市场的资本和技术壁垒影响。然而,下游AI模型和应用市场的竞争日益激烈,表明目前没有显著的进入和扩张障碍。 3. 生成式AI的竞争主要发生在AI技术栈的各个层面,包括AI加速器芯片、计算基础设施、数据、AI模型开发和下游AI应用。 4. 生成式AI可能出现的竞争问题包括上游关键输入的获取、数据和计算能力的获取等。 5. 生成式AI的盈利方式包括AI加速器芯片销售、计算资源销售、数据许可、AI模型和应用销售。 6. 开源生成式AI与专有生成式AI在竞争中各有优势,开源AI在数据和模型方面具有优势,而专有AI在应用和定制化方面具有优势。
生成AI系统如何获取关键数据? 开源与专有AI系统竞争效果如何? 欧盟如何应对生成AI带来的竞争问题?
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