# QCon AI New York 2026 Program Committee Picks: Agent Identity, Context Costs, and Open-Source Infere

> **Publication**: aitalky (Independent AI Journalism)
> **Canonical Citation URL**: https://aitalky.vercel.app/news/qcon-ai-new-york-2026-program-committee-picks-agent-identity-context-costs-and-open
> **Original Source**: [InfoQ AI/ML](https://www.infoq.com/news/2026/10/qcon-ai-newyork-2026-pc-picks/)
> **Author**: Artenisa Chatziou (undefined)
> **Published Date**: Thursday, October 29, 2026
> **Category**: INDUSTRY
> **Tags**: AI, InfoQ AI/ML, industry

## Executive Summary
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.



## Full Coverage
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

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