Skills, Memory, Collaboration: What's Next for Al Agents with Zora Wang | AM Podcast #6
Augmented Mind PodcastShow Notes
Zora Wang is a CS PhD student at Carnegie Mellon University. Zora’s work lies at the intersection of coding agents and human-ai collaboration. In this episode we explore how agents work, how humans work, and how we can get more done together.
Outline: 0:00 - Introduction 4:57 - Agent Workflow Memory 9:26 - From Program Synthesis to Agent Research 11:16 - Tools, Actions, and Skills 18:47 - Human Work vs. Agent Work 21:19 - Autonomous Agents vs. Collaborative Agents 29:47 - Picking Research Problems in the Age of AI Agents 34:09 - The Role of Coding Ability in Agent Development 36:49 - Cutting Through the Fear Mongering: Building Agents Responsibly 45:02 - What’s Next? (The Future of Human-Agent Collaboration) 52:42 - Final Takeaway
References: Zora’s Homepage: https://zorazrw.github.io/ Agent Workflow Memory: https://arxiv.org/abs/2409.07429 How Do AI Agents Do Human Work? Comparing AI and Human Workflows Across Diverse Occupations: https://arxiv.org/abs/2510.22780
Podcast Links: Podcast website: https://augmented-mind.github.io/ Apple Podcasts: https://podcasts.apple.com/us/podcast/augmented-mind-podcast/id1868102170 Spotify: https://open.spotify.com/show/40KculkYTe2tOpqJm6TAYr?si=PU_UncsMT4mXjVNCRwoXog&nd=1&dlsi=6d9bed7a43d64085 RSS: https://anchor.fm/s/10dbf5b7c/podcast/rss
About the Hosts: The AM Podcast is hosted by Yijia Shao, Shannon Shen, and Michael Ryan, CS PhD students at Stanford University and MIT.
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