While recent progress in artificial intelligence (AI) has relied primarily on increasing the size and scale of the models and computing budgets for training, we ask if those trends will continue. Financial incentives are against scaling, and there can be diminishing returns to further investment. These effects may already be slowing growth among the very largest models. Future progress in AI may rely more on ideas for shrinking models and inventive use of existing models than on simply increasing investment in compute resources.

In an article published by Bloomberg that discusses the the influence of Big Tech companies on the artificial intelligence (AI) startup ecosystem, CSET's Ngor Luong provided her expert insights.

In an article by Forbes discussing the recent economic trends in the United States following the Covid-19 recession, CSET's Matthias Oschinski provided his expert insights.

This guide provides a run-down of CSET’s research since 2019 for first-time visitors and long-term fans alike. Quickly get up to speed on our “must-read” research and learn about how we organize our work.

In a WIRED article discussing issues with Microsoft's AI chatbot providing misinformation, conspiracies, and outdated information in response to political queries, CSET's Josh A. Goldstein provided his expert insights.

In an op-ed published in The Bulletin, CSET’s Owen J. Daniels, discusses the Biden administration's executive order on responsible AI use, emphasizing the importance of clear signals in AI policymaking.

Concerns over risks from generative artificial intelligence systems have increased significantly over the past year, driven in large part by the advent of increasingly capable large language models. But, how do AI developers attempt to control the outputs of these models? This primer outlines four commonly used techniques and explains why this objective is so challenging.

In their recent article published by the Brennan Center for Justice, CSET's Heather Frase and Mia Hoffman, along with Edgardo Cortés and Lawrence Norden from the Brennan Center, delve into the growing role of artificial intelligence (AI) in election administration. The piece explores the potential benefits and risks associated with deploying AI.

Recent government directives, international conferences, and media headlines reflect growing concern that artificial intelligence could exacerbate biological threats. When it comes to biorisk, AI tools are cited as enablers that lower information barriers, enhance novel biothreat design, or otherwise increase a malicious actor’s capabilities. In this explainer, CSET Biorisk Research Fellow Steph Batalis summarizes the state of the biorisk landscape with and without AI.

In an op-ed published in Nikkei Asia, CSET Research Fellow, Sam Bresnick, explores the recent U.S.-China diplomatic developments, spotlighting the agreement between Presidents Biden and Xi to address global narcotics and discuss AI-related risks in military dialogues.