Simons Institute report maps 12 actions for TCS in AI era

The Simons Institute for the Theory of Computing released *AI and TCS: The Next Six Months* on September 28, a consensus document from a two-day working group held at Calvin Lab on September 9-10. It lists twelve recommended actions for how the theoretical computer science community should adapt as AI advances, ranging from a standardized AI methodology section in papers to coverage of reasonable LLM expenses from research grants.

Per the Institute's page, "the participants considered four questions around how the TCS community can adapt in light of ongoing advances in AI," and the discussions were "informed by 134 responses to a survey circulated broadly by the Simons Institute in advance of the meeting." Tony Feng, Zeph Landau, Amit Sahai, and Nikhil Srivastava organized; the 28-person participant list included Cynthia Dwork, Moses Charikar, Jelani Nelson, Tim Roughgarden, and David Woodruff.

Practical items sit next to cultural ones: experimental arXiv posting with submission, experimental video talks with submissions, a unified public repository for conference rules and norms, additional postdocs, workshops for identifying new theory directions, a "TCS in the Age of AI" series at the Institute, and opportunities for training and evaluation without AI assistance.