When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models Paper • 2606.27288 • Published 6 days ago • 4
Running 1 Combining LLMs Rarely Beats the Single Best Model 🎲 1 beta=P(all wrong): the co-failure ceiling on LLM ensembles
When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models Paper • 2606.27288 • Published 6 days ago • 4
When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models Paper • 2606.27288 • Published 6 days ago • 4
Running 1 Combining LLMs Rarely Beats the Single Best Model 🎲 1 beta=P(all wrong): the co-failure ceiling on LLM ensembles
Running 1 Combining LLMs Rarely Beats the Single Best Model 🎲 1 beta=P(all wrong): the co-failure ceiling on LLM ensembles
Memory as a Wasting Asset: Pricing Flash Endurance for Embodied Agents, and the Limits of Doing So Paper • 2606.18144 • Published 15 days ago
Running 1 AEGIS - A Backup Reflex for Physical AI 🛡 1 Interactive companion to the AEGIS backup-reflex paper
Running 1 AEGIS - A Backup Reflex for Physical AI 🛡 1 Interactive companion to the AEGIS backup-reflex paper