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The cyber magician
Cofounder and CEO of Wiz, one of the most dynamic cybersecurity companies in the world, Assaf Rappaport works towards innovation t…
Tuesday, 1 July 2025
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In the 1980s and 1990s, Yann Le Cun played a key role in the development of convolutional neural networks (CNNs), an architecture inspired by the human visual cortex, which he adapted and refined for pattern recognition. This groundbreaking work laid the foundation for modern computer vision applications.
In 2003, he joined New York University and founded the NYU Center for Data Science. A decade later, Mark Zuckerberg appointed him to lead the newly created Facebook AI Research lab (FAIR), which has since become one of the world’s most influential AI research centers. Le Cun is a member of the U.S. National Academy of Sciences and a recipient of the French Knight of the Legion of Honor.
In 2018, at the age of 58, he was awarded the prestigious Turing Award (the "Nobel Prize of computing") alongside Yoshua Bengio and Geoffrey Hinton, for their fundamental contributions to deep learning.
Meta’s Chief AI Scientist maintains a measured stance on speculation about the emergence of Artificial General Intelligence - AI systems capable of reasoning and acting like humans — which he considers premature and often disconnected from the current state of scientific progress. He also approaches generative AI with caution: promising, in his view, but limited by a shallow understanding of the world.
Instead, he promotes the concept of AMI (Advanced Machine Intelligence), an approach based on a system’s ability to learn and understand autonomously. Inspired by how the human brain functions - without copying it - AMI aims to develop flexible intelligences grounded in common sense, curiosity, and self-supervised learning.
Yann Le Cun embodies a deeply humanistic approach to AI, rooted in ethics and respect for universal values. He sees this technology not as a replacement for humans, but as a way to enhance our capabilities, and firmly rejects doomsday narratives about AI spiraling out of control, which he sees as more science fiction than scientific reality.
He reminds us that no matter how powerful, algorithms are still tools shaped by human intent. For Le Cun, AI is primarily a lever for societal progress, offering potential to tackle major global challenges (health, education, the environment, etc.). It can be a force for good - provided it is rigorously regulated: transparent and explainable, developed within an open and democratic research framework, and not monopolized by a handful of tech giants.