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.
Timestamps
- 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 Wang’s Homepage
- Agent Workflow Memory
- How Do AI Agents Do Human Work? Comparing AI and Human Workflows Across Diverse Occupations
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