Thomas Woodside was a Horizon Junior Fellow at the Center for Security and Emerging Technology (CSET), working on the Foundational Research Grants team. Prior to CSET, Thomas conducted research in machine learning safety and security at UC Berkeley and the Center for AI Safety. Previously, he worked in machine learning engineering at technology startups and NASA. Thomas holds a BS in computer science from Yale University.
A recent topic of contention among artificial intelligence researchers has been whether large language models can exhibit unpredictable ("emergent") jumps in capability as they are scaled up. These arguments have found their way into policy… Read More
Large language models (LLMs), the technology that powers generative artificial intelligence (AI) products like ChatGPT or Google Gemini, are often thought of as chatbots that predict the next word. But that isn't the full story… Read More
Large language models (LLMs), the technology that powers generative artificial intelligence (AI) products like ChatGPT or Google Gemini, are often thought of as chatbots that predict the next word. But that isn't the full story… Read More
The October 30, 2023, White House executive order on artificial intelligence requires companies developing the most advanced AI models to report safety testing results to the federal government. CSET Horizon Junior Fellow Thomas Woodside writes… Read More
This website uses cookies.
To learn more, please review this policy. By continuing to browse the site, you agree to these terms.
This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.