QCon AI纽约2026程序委员会精选：代理身份、上下文成本与开源推理
原标题：QCon AI New York 2026 Program Committee Picks: Agent Identity, Context Costs, and Open-Source Infere
AI 摘要
QCon AI New York 2026 程序委员会公布了他们最期待的六场会议，会议将于12月15日至16日举行。这些会议聚焦代理身份与授权、上下文成本管理、编码代理对工程组织的影响、开源推理、代理标准以及音频AI等议题。委员会成员包括会议主席Hien Luu、Thoughtworks技术负责人Wes Reisz和Google Gemini Enterprise自主代理工程师Faye Zhang。
正文节选
Who authorizes an agent’s actions? How should teams manage growing context costs? What changes when coding agents become part of everyday engineering work? The QCon AI New York 2026 program committee has selected six sessions they are looking forward to at the December 15–16 conference. Their picks examine these questions alongside open-source inference, agent standards, and audio AI. Conference chair Hien Luu, an AI/ML leader, advisor, speaker, and author, joins committee members Wes Reisz, Tec