172 citations · 173 across the 6 of their papers we have counts for
8 papers
Paying for Information, Not for Clicks: A Block-Level Publisher Content Marketplace for AI Answers
Markus Mobius, Luca Braghieri, Sarah Eichmeyer +12
We propose a publisher content marketplace that allocates payments for information used in AI-generated answers. The unit of attribution is a ``lego block:'' a distinct fact or pie…
The Evolution of Digital Search: From Blue Links to Delegated Decision-Making
David M. Rothschild, Nicole Immorlica, Brendan Lucier +2
Digital search is undergoing a fundamental transformation from a human-driven process of discovery to an agent-mediated system of delegated decision-making. In the traditional mode…
From Augmentation to Reconstruction: Guiding the AI Disruption to the Good Place
David M. Rothschild, Jake M. Hofman, Markus Mobius +5
Artificial intelligence feels omnipresent, yet the disruption many expect has not fully arrived. The main reason is not model capability, nor even the tools built to harness those…
Generalizable Verilog Modeling Framework for Synchronous and Asynchronous Superconducting Pulse-Based Logic Gates
Elisabeth Feng, Robert S. Aviles, Peter A. Beerel
Superconducting Single Flux Quantum (SFQ) logic offers a promising platform for ultra-low-power, high-frequency computing. However, their pulse-based nature poses challenges for sc…
Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets
Gagan Bansal, Wenyue Hua, Zezhou Huang +21
As LLM agents advance, they are increasingly mediating economic decisions, ranging from product discovery to transactions, on behalf of users. Such applications promise benefits bu…
The Agentic Economy
David M. Rothschild, Markus Mobius, Jake M. Hofman +7
Generative AI has transformed human-computer interaction by enabling natural language interfaces and the emergence of autonomous agents capable of acting on users' behalf. While ea…
Online Algorithms with Limited Data Retention
Nicole Immorlica, Brendan Lucier, Markus Mobius +1
We introduce a model of online algorithms subject to strict constraints on data retention. An online learning algorithm encounters a stream of data points, one per round, generated…
Examining the consumption of radical content on YouTube
Homa Hosseinmardi, Amir Ghasemian, Aaron Clauset +3
Although it is under-studied relative to other social media platforms, YouTube is arguably the largest and most engaging online media consumption platform in the world. Recently, Y…