3 papers
cs.AI2026
Can your AI agent be cheaper? Investigating the effects of task specifications on token spend in agentic coding tasks
Jakub Smékal
Agentic coding workflows are now widely deployed in real-world systems. With long-horizon reasoning and tool use, token usage has become an important consideration for both cost an…
cs.LG2024
Towards a theory of learning dynamics in deep state space models
Jakub Smékal, Jimmy T. H. Smith, Michael Kleinman +2
State space models (SSMs) have shown remarkable empirical performance on many long sequence modeling tasks, but a theoretical understanding of these models is still lacking. In thi…
cs.AI2023
Decentralized Technologies for AI Hubs
Richard Blythman, Mohamed Arshath, Salvatore Vivona +2
AI requires heavy amounts of storage and compute with assets that are commonly stored in AI Hubs. AI Hubs have contributed significantly to the democratization of AI. However, exis…