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In this episode of the Eye on AI, Craig Smith speaks with Zuzanna Stamirowska about how Pathway is enabling AI systems to work with live, continuously updating data.

Most AI applications rely on static datasets that quickly become outdated. Pathway takes a different approach, allowing developers to build AI systems that process real-time data streams, keeping models, knowledge bases, and AI agents constantly up to date.

Craig and Zuzanna explore why real-time data may be critical for the next generation of LLM applications, RAG systems, and enterprise AI infrastructure, and what it takes to build AI that can operate in a constantly changing world.

Subscribe for more conversations with the researchers and builders shaping the future of AI.

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(00:00) The Core Problem: Why Today's AI Lacks Memory

(03:16) Pathway's Mission to Bring Memory Into AI

(04:53) Zuzanna's Background in Complexity Science

(10:30) Why Transformers Reset Like "Groundhog Day"

(14:34) The Brain-Inspired Dragon Hatchling Architecture

(23:59) How the Network Learns and Builds Connections

(37:38) Performance vs Transformers on Language Tasks

(49:37) Productizing the Technology With NVIDIA and AWS

(54:23) Can Memory Solve AI Hallucinations?

#326 Zuzanna Stamirowska: Inside Pathway's AI Systems That Work with Live, Real-Time Data

Eye On A.I.

#326 Zuzanna Stamirowska: Inside Pathway's AI Systems That Work with Live, Real-Time Data