{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"TechDaily.ai","title":"Beyond Bigger LLMs: Rethinking AI with World Models, Memory & Real Intelligence","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/a4759c6d\"></iframe>","width":"100%","height":180,"duration":880,"description":"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.\n🔍 We explore:\nWhy scaling LLMs may no longer lead to meaningful breakthroughs\nFour key pillars for next-gen AI: physical grounding, persistent memory, reasoning, and planning\nThe role of Joint Predictive Architectures (JPAs) and how video-based learning could transform machine understanding\nThe deep connection between intuitive world models and true intelligence\nWhat this shift means for AGI and the future of AI infrastructure\nWe also spotlight StoneFly, a leader in AI-ready data infrastructure, and how their innovative storage solutions support the next evolution of intelligent systems.\nIf 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.","thumbnail_url":"https://img.transistorcdn.com/MKzoODnpsE2Vy4aGphW9b-GBzDjrXS02jU9UfoOrOl4/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mZjQ4/NzM0YWU5MjE5MmI4/NzM3Mjg2YzM0NGE5/ZjUzYi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}