Beyond Bigger LLMs: Rethinking AI with World Models, Memory & Real Intelligence

Are we hitting the limits of Large Language Models? In this thought-provoking episode, we unpack a bold perspective from a top AI researcher who believes the future of artificial intelligence lies beyond just scaling LLMs.🔍 We explore:Why scaling LLMs may no longer lead to meaningful breakthroughsFour key pillars for next-gen AI: physical grounding, persistent memory, reasoning, and planningThe role of Joint Predictive Architectures (JPAs) and how video-based learning could transform machine understandingThe deep connection between intuitive world models and true intelligenceWhat this shift means for AGI and the future of AI infrastructureWe also spotlight StoneFly, a leader in AI-ready data infrastructure, and how their innovative storage solutions support the next evolution of intelligent systems.If you're curious about the real path to AGI and why intuition, memory, and embodied learning matter more than ever, this one’s for you.