Why AI's next era may not belong to LLMs
From The Deep View: Conversations by The Deep View
August 9, 2026 · 57 min
About this episode
Zuzanna Stamirowska discusses the limitations of current AI architectures and introduces Pathway's new approach to AI with Dragon Hatchling.
What comes after large language models? In this episode of The Deep View Conversations, we talked with Zuzanna Stamirowska, CEO of Pathway, to explore why her team believes today’s dominant AI architecture has fundamental limits, and what it could take to move beyond them. Pathway is developing Dragon Hatchling, a new architecture designed to give AI native memory, continual learning, and a different approach to reasoning. Stamirowska explains why today’s LLMs can appear to remember without actually internalizing what they learn, why reasoning through language creates its own constraints and costs, and how Pathway is trying to build models that can think in a more abstract way. The conversation looks at how those architectural changes could affect hallucinations, interpretability, safety, and the enormous compute demands of modern AI. Stamirowska shares how her background in complex systems and game theory shaped Pathway’s approach, why the company made an early bet on challenging the transformer, and how the AI coding revolution has already radically changed the way her own team works. Topics covered: • Why transformers struggle with memory and continual learning • How Pathway’s…
People in this episode
Host: The Deep View
Guest: Zuzanna Stamirowska
Topics covered
- AI architecture
- large language models
- memory and continual learning
- interpretability
- compute costs
- reasoning
Keywords
- AI
- large language models
- Dragon Hatchling
- Pathway
- memory
- reasoning
- compute costs
- interpretability
Mentioned in this episode
Organizations: Pathway
Products: Dragon Hatchling
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