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Building the Future: LeCun’s Vision for Autonomous Machine Intelligence
Manage episode 457078589 series 3351512
IVANCAST PODCAST에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 IVANCAST PODCAST 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
In this episode of the SHIFTERLABS Podcast, part of our ongoing mission to make groundbreaking research accessible through the power of Google Notebook LM, we explore Yann LeCun’s visionary position paper, A Path Towards Autonomous Machine Intelligence.
Dive into the architecture and training paradigms that aim to make machines learn and reason like humans and animals. From predictive world models and hierarchical planning to the revolutionary concept of intrinsic motivation driving intelligent behavior, we unravel the ideas shaping the next frontier of AI. How do we move from reactive systems to true autonomy? What are the challenges in bridging current AI and human-like cognition?
Join us as we break down LeCun’s proposal into digestible insights, making sense of how AI could redefine intelligence as we know it.
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