Is AI’s biggest limitation really intelligence—or is it memory? In Episode 185 of the AIAW Podcast, Johan Thulin, Co-Founder and CTO of Aphygo, explores why the future of AI may depend less on bigger models and more on systems that can remember, learn, and accumulate knowledge over time. We discuss the limits of context windows and RAG architectures, why hallucinations may be a symptom of missing state rather than flawed reasoning, and how stateful AI could transform agents from short-term tools into long-term collaborators. Johan also shares his views on model sovereignty, enterprise AI infrastructure, cognitive capital, and the shift from predictive AI to systems capable of maintaining context and meaning across interactions. From the future of human-AI collaboration to AGI, automation, and a world beyond today’s LLMs, this conversation offers a thought-provoking look at what may come next in artificial intelligence.

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