- Developers
- Learn about the research frontiers pushing AI beyond current limitations towards more capable agents.
- Business
- Understand the 'capability overhang' and practical AI deployment challenges for enterprise applications.
- Everyday users
- Discover what's next for AI assistants and how they might become more reliable and useful.
This is a solid interview with a key AI leader discussing the practical future of AI research and deployment.
AI's Research Frontier: Memory, World Models, & Planning — With Joelle Pineau
Audio streams from Alex Kantrowitz. Your place is remembered on this device.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Joelle Pineau, Cohere's chief AI officer, joins the Big Technology Podcast to discuss AI research frontiers like memory, world models, and planning. They explore the path from AI demos to reliable agents, current research gaps, enterprise AI's capability overhang, and the future of AI sovereignty and lab competition.
This episode discusses the future of AI research, focusing on how AI systems can remember things, understand the world, and plan actions. This matters because it could lead to AI that is more helpful and reliable in everyday tasks.
This episode offers a grounded perspective on AI's future, moving beyond hype to practical deployment. It's for anyone tracking AI's evolution, especially those in enterprise AI or interested in how major labs are pushing research. Pineau's insights connect to current efforts by OpenAI, Google Gemini, Anthropic, and others to build more capable and reliable AI systems, addressing limitations in current models and exploring new research directions.
- HostAlex Kantrowitz
- GuestJoelle Pineauchief AI officer, Cohere
- Guest: Joelle Pineau, Chief AI Officer at Cohere
- Show: Big Technology Podcast
- Length: 55 minutes
- Topics Discussed: AI research frontiers: memory, world models, planning, reliable agents, capability overhang, AI sovereignty
Joelle Pineau is the chief AI officer at Cohere. Pineau joins Big Technology Podcast to discuss where the cutting edge of AI research is headed — and what it will take to move from impressive demos to reliable agents. Tune in to hear why memory, world models, and more efficient reasoning are emerging as the next big frontiers, plus what current approaches are missing. We also cover the “capability overhang” in enterprise AI, why consumer assistants still aren’t lighting the world on fire, what AI sovereignty actually means, and whether the major labs can ever pull away from each other. Hit play for a cool-headed, deeply practical look at what’s next for AI and how it gets deployed in the real world.
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- world models
- Joelle Pineau
- AI systems that try to understand and predict how the real world works.
- capability overhang
- Joelle Pineau
- When AI technology is more advanced than its current practical use in businesses.
- AI sovereignty
- Joelle Pineau
- The idea of controlling AI systems and data within national or organizational borders.
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Questions people ask
- What are the next frontiers in AI research?
- The episode discusses memory, world models, and more efficient reasoning as emerging frontiers in AI research.
- What is the 'capability overhang' in enterprise AI?
- The discussion touches on the capability overhang in enterprise AI, suggesting a gap between AI's potential and its current practical application in businesses.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Alex Kantrowitz.


