Yann LeCun

Yann LeCun, Chief AI Scientist at Meta and Turing Award winner, dives into the transformative power of open-source AI. He discusses the real-world limits of large language models, emphasizing the need for sensory experiences in developing true intelligence. LeCun also outlines the intricacies of AI's hierarchical planning and the importance of diverse perspectives in AI development. The conversation navigates the delicate balance between innovation and ethical considerations, urging for a collective approach in shaping the future of artificial intelligence.

Yann LeCun, Chief AI Scientist at Meta and Turing Award winner, discusses the intriguing limitations of AI in making original discoveries. He explains why current AI models, despite their vast access to knowledge, struggle with true innovation and requires deeper understanding. LeCun highlights the key differences between human reasoning and AI capabilities, emphasizing the need for advanced architectures. The conversation also touches on the importance of open-source innovation and the potential pitfalls for investors in the AI landscape.

Yann LeCun, Chief AI Scientist at Meta and Turing Award winner, dives into the fascinating world of self-supervised learning. He discusses how this approach mimics human learning, distinguishing it from traditional methods. LeCun explores the complexities of machine intelligence, emphasizing the blend of causal reasoning and background knowledge. The conversation also touches on the evolution of intelligence across species, the philosophical implications of AI and mortality, and the future of human-machine interaction, making for an enlightening dialogue on the nature of knowledge and learning.

Yann LeCun, VP & Chief AI Scientist at Meta and recipient of the 2018 ACM Turing Award, shares his journey through the world of AI. He dismisses fears of AI dominance, asserting that digital assistants will play a crucial role in the future. Yann discusses the shift from closed to open AI models, emphasizing collaboration for innovation. He reflects on humanity's fascination with job loss due to AI, arguing that new opportunities will arise. Ultimately, he sees a promising future where AI enhances human creativity and intelligence.

Yann Le Cun, scientifique en chef de l'IA chez Meta et pionnier du deep learning, discute de l'avenir de l'intelligence artificielle. Il remet en question la pertinence des modèles de langage actuels, prévenant que l'IA visuelle et sensorielle va dominer. Il souligne que les enfants de quatre ans surpassent ChatGPT en compréhension. Yann s'interroge sur l'éthique de l'IA, évoque les échecs comme le casque Apple Vision Pro, et partage sa vision d'une IA qui pourrait transformer la science et la société.

Yann LeCun, Chief AI Scientist at Meta and a pioneer in neural networks, engages in a lively discussion about open-source AI. He shares insights on the financial race in AI, where tech giants invest heavily in advancements. Yann tackles the risks of open-sourcing powerful models and advocates for guidelines to ensure ethical development. He also voices his thoughts on AI regulation and explains the necessity of transparency in research. Known for his candidness, he isn’t shy about sharing his views on figures like Elon Musk and Donald Trump.

In this episode, Yann LeCun, a renowned computer scientist and AI researcher, shares his insights on the limitations of large language models and how his new joint embedding predictive architecture could help bridge the gap. While large language models have made remarkable strides in natural language processing and understanding, they are still far from perfect. Yann LeCun points out that these models often cannot capture the nuances and complexities of language, leading to inaccuracies and errors. To address this gap, Yann LeCun introduces his new joint embedding predictive architecture - a novel approach to language modelling that combines techniques from computer vision and natural language processing. This approach involves jointly embedding text and images, allowing for more accurate predictions and a better understanding of the relationships between original concepts and objects. Craig Smith Twitter: https://twitter.com/craigssEye on A.I. Twitter: https://twitter.com/EyeOn_AI

Des Traynor, Co-founder of Intercom, and Yann LeCun, AI pioneer at Meta and NYU, dive into the future of AI. They dissect the fight between open-source and closed models, emphasizing the rise of collaborative approaches. The duo also tackles the commoditization of large language models and the critical importance of data diversity. They explore the shift in AI business models towards outcome-based pricing and debate the roles of intelligent assistants—highlighting Apple's unique position against giants like Google and Amazon.

Yann LeCun, a leading figure in deep learning and the Chief AI Scientist at Facebook, shares his groundbreaking insights on AI. He discusses the critical need for ethical frameworks in AI, navigating the challenges of value misalignment. LeCun explores the history of neural networks, addressing past declines and the potential for collaboration in tech advancements. He delves into self-supervised learning's role in AI, critiques misconceptions, and emphasizes the importance of real-world interactions for developing intelligent systems, particularly in autonomous driving.

Yann LeCun, Chief AI Scientist at Meta and a pivotal figure in deep learning, dives into the limitations of current large language models. He argues that while human-level AI is a decade away, true intelligence would require abstract reasoning beyond mere language processing. LeCun also highlights Meta's open-source LLAMA approach, which aims to empower researchers and startups. He envisions AI assistants equipped to understand the physical world, sparking innovative possibilities for future technology.