AI Deep Dive is a show from The Information's TITV that gets to the bottom of the hardest technical problems in AI. We explore the models, the research and the people building them. Hosted by AI reporter, Rocket Drew.
Rocket sits down with Anna Goldie, founder and CEO of Ricursive Intelligence, and Azalia Mirhoseini, founder and CTO of Ricursive Intelligence, to discuss how AI could help design better chips—and how those chips could in turn accelerate the development of more capable AI.
They explain why today’s chip-design process is a bottleneck, how AI could automate more of it and what faster hardware development could mean for recursive self-improvement. The conversation also explores the limits and risks of that feedback loop, including questions around AI safety, alignment and access to advanced chips.
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Chapters:
00:00 – Intro
01:18 – What Is Recursive Self-Improvement?
03:18 – Can AI Automate Chip Design?
11:10 – Co-Designing AI and Hardware
19:35 – Beyond Today’s Models and Chips
26:08 – How Much More Efficient Could AI Get?
31:31 – What Happens When the Loop Accelerates?
42:14 – Can Alignment Keep Up?
47:05 – Should We Slow AI Progress?