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Wi-Fi Router vs. Mesh System: Which Is Best for You?
We all want a good, strong Wi-Fi signal throughout our homes, but figuring out how to achieve it without overspending can be tricky. Even once you’ve decided to replace the router from your internet service provider, do you get a new Wi-Fi router or invest in a mesh system? I covered this briefly in my router buying guide, but I’m going to dive a bit deeper here.
Cable lobby warns of chaos if FCC doesn't relax ban on foreign routers
The cable industry's primary lobby group is seeking a waiver of the Federal Communications Commission ban on foreign routers, warning of potential chaos if cable Internet service providers can't change some of the components in routers they offer to home broadband users. In March, the FCC added all consumer-grade routers made at least partly outside the US to its Covered List, which imposes restrictions on devices deemed to pose an unacceptable risk to national security. The change affected...
Motorola effectively bricked its entire line of WiFi routers without explanation
Motorola effectively bricked its entire line of WiFi routers without explanation Motorola has effectively bricked its WiFi routers without warning, and the issue has been ongoing for nearly a month, according to a Mashable investigation and user complaints across the App Store, Amazon, and Reddit. Sometime around mid-May, Motorola's MotoSync+ app for iOS and Android went down. On iOS, the MotoSync+ app opens to the login screen, and a loading wheel just spins and spins.
Eero’s Pro 6E routers are down to their cheapest price yet in 2026
The Pro 6E was Eero’s top-end mesh Wi-Fi router back in 2022, and it’s still a solid pick if you want fast, reliable Wi-Fi coverage around your multi-room or multi-story abode. It can also deliver beyond gigabit wired speeds if your internet plan supports it. Ahead of Prime Day 2026, Amazon and Best Buy have knocked down the cost of a three-pack, matching its best-ever price that we last saw ahead of the holidays in December 2025.
R2-Router: A New Paradigm for LLM Routing with Reasoning
arXiv:2602.02823v2 Announce Type: replace Abstract: As LLMs proliferate with diverse capabilities and costs, LLM routing has emerged by learning to predict each LLM's quality and cost for a given query, then selecting the one with high quality and low cost. However, existing routers implicitly assume a single fixed quality and cost per LLM for each query, ignoring that the same LLM's quality varies with its output length.
IR3DE: A Linear Router for Large Language Models
Announce Type: new Abstract: Foundational Large Language Models (LLMs) demonstrate proficiency on a wide range of general tasks, and achieve remarkable results on various specialized tasks via domain-expert LLMs. With the ever-growing list of available LLMs, inference routers are being proposed to select the most appropriate LLM for each prompt. However, existing routing methods either optimize cost across weak-to-strong generalist LLMs or require substantial training to support...
An Effective Router for Vision-Language Model Selection
Announce Type: new Abstract: Vision-language models (VLMs) with varying performance and resource requirements are widely deployed, making it difficult for users to select the most appropriate one among numerous VLM candidates. Existing work reveals the performance paradox phenomenon in language models and focuses on routing methods to solve it. However, developing a router for VLM selection is still a critical yet challenging problem, which primarily faces: 1) lack of specialized data, 2)...
Eigenvectors of Experts are Training-free Non-collapsing Routers
arXiv:2605.30992v1 Announce Type: new Abstract: Sparse Mixture of Experts (SMoE) architectures improve the training efficiency of Large Language Models (LLMs) by routing input tokens to a selected subset of specialized experts. Despite their remarkable success, both training and inference in SMoE models suffer from the expert collapse issue (Chi et al., 2022), which degrades model performance. Prior studies primarily focus on improving the router; however, such methods rely on training from...
vLLM Semantic Router: Signal Driven Decision Routing for Mixture-of-Modality Models
arXiv:2603.04444v3 Announce Type: replace Abstract: As large language models (LLMs) diversify across modalities, capabilities, and cost profiles, the problem of intelligent request routing -- selecting the right model for each query at inference time -- has become a critical systems challenge. We present vLLM Semantic Router, a signal-driven decision routing framework for Mixture-of-Modality (MoM) model deployments. The central innovation is composable signal orchestration: the system...
OrcaRouter: A Production-Oriented LLM Router with Hybrid Offline-Online Learning
arXiv:2605.30736v1 Announce Type: new Abstract: The rapid development of large language models, each with distinct capabilities and inference costs, raises a practical deployment question: given an incoming request, which model should handle it? We present OrcaRouter, a production-oriented LLM router that combines a LinUCB-based contextual bandit over lexical and sentence-embedding features with a hybrid offline-online learning protocol.