Thomas Woodside is a Horizon Junior Fellow at the Center for Security and Emerging Technology (CSET), working on the Foundational Research Grants team. Prior to joining 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
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