2 citations · 2 across the 4 of their papers we have counts for
7 papers
If open source is to win, it must go public
Joshua Tan, Nicholas Vincent, Katherine Elkins +5
Open source projects have made incredible progress in producing widely usable machine learning models and systems, but open source alone will face challenges in fully democratizing…
The Amazon Nova Family of Models: Technical Report and Model Card
Amazon AGI, Aaron Langford, Aayush Shah +783
We present Amazon Nova, a new generation of state-of-the-art foundation models that deliver frontier intelligence and industry-leading price performance. Amazon Nova Pro is a highl…
The Constitutions of Web3
Joshua Z. Tan, Max Langenkamp, Anna Weichselbraun +2
The governance of online communities has been a critical issue since the first USENET groups, and a number of serious constitutions -- declarations of goals, values, and rights --…
An Alternative to Regulation: The Case for Public AI
Nicholas Vincent, David Bau, Sarah Schwettmann +1
Can governments build AI? In this paper, we describe an ongoing effort to develop ``public AI'' -- publicly accessible AI models funded, provisioned, and governed by governments or…
Open Problems in DAOs
Joshua Tan, Tara Merk, Sarah Hubbard +26
Decentralized autonomous organizations (DAOs) are a new, rapidly-growing class of organizations governed by smart contracts. Here we describe how researchers can contribute to the…
Building net-native agreement systems
Joshua Z. Tan, Luke V. Miller
Agreements and contracts are everywhere, but they are built on layers and layers of legal and social institutions. Software is slowly entering into this stack. In this article, we…