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Linux Foundation CEO whose AI work centers on neutral governance and institutional support for shared software and standards.

Hornet CEO and former Vespa chief scientist whose published work examines hybrid ranking, long-document retrieval, and the importance of strong search baselines.

Software engineer whose AI work spans natural-language analytics at Amplitude and developer applications of audio models at ElevenLabs.

AI evaluation researcher whose work at METR examines the gap between benchmark performance and useful software development.

Machine-learning researcher whose collaborative work spans empirical scaling laws, open language models, and practical methods for transferring hyperparameters across model sizes.

AI red teamer and prompt engineer whose work spans open-source security communities, structured prompting, and AI risk assessment.

AI software-engineering researcher and coauthor of SWE-bench, SWE-agent, CodeClash and ProgramBench, studying how agents build software and collaborate with people.

AI researcher and Databricks chief AI scientist whose work spans sparse neural networks, efficient model training, and practical evaluation.

Computer scientist and Simile co-founder whose research develops language-model agents that simulate human behavior, from a virtual town to models grounded in real people's lives.

SemiAnalysis technical staff member leading ClusterMAX research into the reliability, security and cost of GPU cloud clusters.

Cognitive scientist and AI researcher whose work and public views examine cognitive architectures, self-organizing intelligence, and artificial selfhood.

Materials scientist and Radical AI co-founder whose approach joins AI discovery with robotic experiments and a goal of bringing new materials into commercial products.