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Joelle Pineau

Chief Scientist at Cohere and former VP of AI Research at Meta, leading work on large language models, reinforcement learning, robotics, and responsible AI; also a professor at McGill University.

Top 3 podcasts with Joelle Pineau

Ranked by the Snipd community
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325 snips
Nov 3, 2025 • 58min

20VC: Cohere's Chief AI Officer on Why Scaling Laws Will Continue | Whether You Can Buy Success in AI with Talent Acquisitions | The Future of Synthetic Data & What It Means for Models | Why AI Coding is Akin to Image Generation in 2015 with Joelle Pineau

Joelle Pineau, Chief Scientist at Cohere and former AI Research VP at Meta, dives deep into AI's future. She discusses the ongoing relevance of reinforcement learning, and the efficiency challenges it faces. Joelle examines the rising costs of specialized data and stresses the importance of balancing compute and talent for innovation. She likens today's AI coding landscape to early image generation, anticipating major advancements. With insights on integrating AI in enterprise and practical approaches to responsible development, Joelle offers a pragmatic yet optimistic view of AI's trajectory.
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239 snips
Feb 4, 2026 • 55min

AI's Research Frontier: Memory, World Models, & Planning — With Joelle Pineau

Joelle Pineau, Chief AI Officer at Cohere and long‑time AI researcher, discusses frontier research in memory, world models, and efficient hierarchical planning. She contrasts memory versus continual learning. She explains retrieval challenges, distinctions between digital and physical world models, and why many specialized agents — not one monolithic system — are likely to emerge.
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22 snips
Feb 11, 2026 • 37min

The “ChatGPT moment” for agentic AI

Joelle Pineau, AI researcher and Chief AI Officer at Cohere, discusses the OpenClaw surge and why agentic AI feels like a turning point. She explores safety and privacy risks of powerful local agents. She talks about open-source tradeoffs, building enterprise-ready agents, and how diverse, sovereign approaches shape the next wave of foundation models.

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