Uploaded February 2026 | Updated September 2026, 21 hours ago
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.
Chapters:
0:00 - Intro: Where AI research is heading
2:02 - Current cutting edge of AI research
5:14 - Memory vs. continual learning in AI models
9:46 - Why memory is so difficult
14:23 - State of reasoning and hierarchical planning
17:19 - How LLMs think ahead while generating text
19:00 - World models and embedded physics understanding
21:32 - Physical vs. digital world models
24:13 - Do models need to understand gravity for AGI?
25:51 - The capability overhang in AI
28:22 - Why consumer AI assistants aren't taking off
30:42 - Companies vs. individuals adopting AI
31:44 - Why AI labs stay neck-and-neck competitively
33:41 - Commercial applications of AI in enterprise
38:11 - Impact on entry-level and mid-career employees
41:12 - AI coding agents and vibe coding
43:13 - Concentration of AI in big tech companies
46:23 - Social media entrepreneurs vs. research scientists
48:09 - Economics of AI advertising
51:02 - Can the pace of AI adoption keep up?
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Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice.
Want a discount for Big Technology on Substack + Discord? Here’s 25% off for the first year: bigtechnology.com/subscribe?coupon=0843016b
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.
Chapters:
0:00 - Intro: Where AI research is heading
2:02 - Current cutting edge of AI research
5:14 - Memory vs. continual learning in AI models
9:46 - Why memory is so difficult
14:23 - State of reasoning and hierarchical planning
17:19 - How LLMs think ahead while generating text
19:00 - World models and embedded physics understanding
21:32 - Physical vs. digital world models
24:13 - Do models need to understand gravity for AGI?
25:51 - The capability overhang in AI
28:22 - Why consumer AI assistants aren't taking off
30:42 - Companies vs. individuals adopting AI
31:44 - Why AI labs stay neck-and-neck competitively
33:41 - Commercial applications of AI in enterprise
38:11 - Impact on entry-level and mid-career employees
41:12 - AI coding agents and vibe coding
43:13 - Concentration of AI in big tech companies
46:23 - Social media entrepreneurs vs. research scientists
48:09 - Economics of AI advertising
51:02 - Can the pace of AI adoption keep up?
---
Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice.
Want a discount for Big Technology on Substack + Discord? Here’s 25% off for the first year: bigtechnology.com/subscribe?coupon=0843016b
