# Silas Alberti **Entity class:** Person **Domain:** agentic coding / AI infrastructure / production economics **Maturity:** Developing ## Significance Silas Alberti is a founding team member at Cognition. His contribution explains why long contexts, concurrency, token volume, and cost per token determine which agentic coding workloads can move from demonstration into production. ## Relationships - [[wiki/AI Infrastructure|AI Infrastructure]] - [[wiki/Agentic AI|Agentic AI]] - [[wiki/AI Price-Performance|AI Price-Performance]] ## Source Dossiers - [[research/Weekly Reminder Hunt - 2026-10-02|Weekly Reminder Hunt — October 2, 2026]] ## Simple Reminders, Quotations, and Thoughts > "Agentic coding is a complex workload: long contexts, high concurrency and token volumes where cost per token decides what we can ship. Having all of it on one platform, with NVIDIA and CoreWeave engineers who work the hard problems alongside ours, matters more to us than any single spec." > **— Silas Alberti**, *From Training to Production, NVIDIA and CoreWeave Close the Loop on Agentic AI, September 30, 2026* [[reminders/AI Infrastructure/Cost per Token Decides What Agentic AI Can Ship by Silas Alberti|Cost per Token Decides What Agentic AI Can Ship by Silas Alberti]]