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The article looks at machine learning (ML) and large language models (LLMs), focusing on a concept under development at Google Research called TITAN which is a ML system that can continue learning after its initial training has occurred and it has been put into use. Topics include building the capac...

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Bibliographic Details
Published in:	Communications of the ACM Vol. 68; no. 4; pp. 5 - 6
Main Author:	Cerf, Vinton G.
Format:	Opinion
Published:	Association for Computing Machinery Apr2025
Subjects:	Machine learning Language models Federated learning Computer security vulnerabilities
Online Access:	View this record in EBSCOhost

Description
Summary:	The article looks at machine learning (ML) and large language models (LLMs), focusing on a concept under development at Google Research called TITAN which is a ML system that can continue learning after its initial training has occurred and it has been put into use. Topics include building the capacity to forget previously learned information into ML systems and the possible vulnerability of ML systems to hacking and attacks.