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Jasjeet (Jas) Sekhon is Chief Strategy Officer at Google DeepMind, where he leads cross-cutting initiatives spanning technical research, commercialization, and policy. Previously, Jas served as Bridgewater Associates’ Chief Scientist and Head of AI, where he co-founded AIA Labs, Bridgewater’s dedicated artificial intelligence research and investment lab, alongside co-CIO Greg Jensen. Jas serves on Bridgewater’s Board of Directors.

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Nina Lozinski, Co-Head of AI & ML Investment Strategy at Bridgewater, was selected for the Aspen Institute's inaugural Technology Leaders Initiative—a fellowship convening leaders shaping the future of technology and its role in society.

Reinforcement learning with verifiable rewards (RLVR) has become a critical tool for modern large language model (LLM) development. RLVR is used to improve the general-purpose reasoning abilities of frontier language models, and has proven particularly critical for mathematical problem solving and agentic coding. Beyond the frontier, a model which is trained via RLVR can outperform much larger frontier models in specialized domains, making this approach especially attractive for enterprise tasks involving proprietary data. For example, Databricks uses RLVR to train a text-to-SQL specialist that outperforms much larger frontier models in this domain.