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The small world web of AI

Abstract:
The rise of generative AI has transformed many fields, including networking. While generative AI is already used for network management and operation, little was done to fundamentally change the way we use the web. In this paper, we make the case for reimagining the web in the age of AI. With just minor changes to HTTP, we demonstrate that web content can be distributed as prompts turned into content on end user devices. This new small world web (SWW) of AI reduces storage demands and network load, and has the potential to improve Internet sustainability over time.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1145/3772356.3772420

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Somerville College
Role:
Author
ORCID:
0000-0002-3655-2873
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


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Funder identifier:
https://ror.org/0439y7842
Grant:
EP/X040828/1


Publisher:
Association for Computer Machinery
Host title:
HotNets '25: Proceedings of the 24th ACM Workshop on Hot Topics in Networks
Pages:
42-50
Publication date:
2025-11-17
Acceptance date:
2025-10-21
Event title:
24th ACM Workshop on Hot Topics in Networks (HotNets 2025)
Event location:
College Park, Maryland, USA
Event website:
https://conferences.sigcomm.org/hotnets/2025/
Event start date:
2025-11-17
Event end date:
2025-11-18
DOI:
ISBN:
9798400722806


Language:
English
Keywords:
Pubs id:
2320247
Local pid:
pubs:2320247
Deposit date:
2025-11-08
ARK identifier:

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