Stanford's Paper2Agent turns scientific papers into collaborating AI agents
burny_tech · x · 2026-09-18
A Stanford Medicine team led by postdoc Jiacheng Miao and professor James Zou built Paper2Agent, a program that converts any scientific manuscript — text, figures and data — into an interactive AI agent.
- Paper agents can answer questions about the paper, run analyses, and talk to other paper agents to collaborate on new discoveries
- Zou frames it as reimagining centuries of publishing knowledge in static artifacts, from carved stones to printed pages
- Reported by Stanford Medicine News Center, September 2026
More from coding & agent
- One stale date silently broke a WhatsApp reply agent: 19 messages unanswered — petrusenko_max · 2026-11-02
- The 10X engineer is now just a SKILLS.md: 6 workflow rules for AI coding agents — mdancho84 · 2026-11-02
- Auditing my MCP credential broker: the worst hole was the config file — Relevant_Mousse_9117 · 2026-11-02
- AWS's open-source Strands Harness claims 45% cheaper than Claude Code, reigniting harness debate — blaizedsouza · 2026-11-02
- Xiaomi MiMo's CodeSpecWeave trains coding agents on interdependent specs for long-horizon coding — XiaomiMiMo · 2026-11-02
- Sketchy v0.1.6: AI diagrams use 29% fewer output tokens than plain text — Nkgsporty · 2026-11-02