Latest Interviews
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Clear all filters- Sequoia Capital37 min
How Ricursive Intelligence’s Founders are Using AI to Shape The Future of Chip Design
Anna Goldie, Azalia Mirhoseini, Stephanie Zhan, Sonya Huang
Recursive Intelligence leverages reinforcement learning and graph optimization to solve the critical asymmetry between slow physical chip cycles and rapid AI model iteration. Building on the success of Google's AlphaChip project, the company replaces manual expert design with an autonomous system that generates "superhuman" layouts, enabling a shift from fabless to designless manufacturing. This approach allows major industry players like NVIDIA and AMD to accelerate custom silicon development while creating a scalable pipeline for diverse applications ranging from space data centers to consumer AR/VR devices.
- Sequoia Capital44 min
How Google’s Nano Banana Achieved Breakthrough Character Consistency
Nicole Brichtova, Hansa Srinivasan, Stephanie Zhan, Pat Grady
Google engineers have achieved real-time character consistency in image generation by replacing inefficient fine-tuning with a direct inference approach within the multimodal Gemini architecture, a capability now powering the consumer-facing "Nano-banana" conversational editor. This shift enables high-fidelity visual tasks ranging from personalized children's books to technical diagramming while maintaining safety through mandatory SynthID watermarking across all generative media surfaces. The strategic trajectory points toward a unified foundational model that transitions users from reactive prompting to proactive, agentic workflows capable of autonomously synthesizing text, image, and video outputs.