This January 2025 issue contains one technical paper and two editorial notes. The technical paper, An Analysis of QUIC Connection Migration in the Wild, by Aurelien Buchet and Cristel Pelsser, provides a comprehensive examination of the support of the QUIC connection migration mechanism over the Internet. The authors perform Internet-wide scans revealing that despite a rapid evolution in the deployment of QUIC on web servers, some of the most popular destinations do not support connection migration yet. Then, we have our two editorial notes. The first, When Something Looks Too Good To Be True, It Usually Is! AI Is Causing A Credibility Crisis In Networking, by Walter Willinger and colleagues, raise awareness about a deeply concerning and yet muchoverlooked development in the use of Artificial Intelligence (AI) and Machine Learning (ML) for solving problems in science in general and in networking in particular. The second editorial note, Learning Algorithms for Dynamic Call Routing: Lessons from Yesteryears, by Deep Medhi, presents an overview of various dynamic call routing schemes, and in particular, learning algorithms for dynamic call routing from yesteryears, discusses control mechanisms that were deployed for network stability, and most important, presents lessons learned from this work, which could hopefully be useful in applying artificial intelligence or machine learning (AI/ML) to networking in today's world.
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