QCon AI New York 2026 Program Committee Picks: Agent Identity, Context Costs, and Open-Source Infere
Who authorizes an agent’s actions, and how should teams manage growing context costs? The QCon AI New York 2026 program committee shares six session picks that tackle these questions, alongside open-source inference, agent standards, and audio AI. By Artenisa Chatziou
In brief
- What: QCon AI New York 2026 Program Committee Picks: Agent Identity, Context Costs, and Open-Source Infere
- When: October 29, 2026 at 14:00
- Source: InfoQ AI/ML (media)
- Topic: Agents & tools
Prepared by Ilya Tarasov’s Tarasov Code newsroom based on a report by InfoQ AI/ML.
