In the late 1980s, along with colleagues at Bell Labs, he designed the first neural network that could recognize handwritten numbers at a high level of accuracy. It was an early example of a convolutional neural network, a machine learning algorithm that would allow image-, speech- and video-recognition AIs to become far more accurate in the years and decades that followed.
Today, LeCun is a professor at New York University and the chief AI scientist at Meta, a company at the cutting edge of AI research. Mark Zuckerberg, Meta’s CEO, announced in January that a new goal for his company was the creation of “artificial general intelligence.” LeCun and his team, who formerly worked for the company largely in an academic capacity on fundamental research, were moved into the applied arm of the company responsible for building new products.
LeCun is a polarizing figure in the world of AI, unafraid to speak his mind on Twitter and in public. The scientist—who has previously predicted that AI will make possibleLeCun is also a staunch advocate of open research, a position that has won him as many fans as it has detractors. Under his spiritual leadership, Meta’s AI division has open-sourced its most capable models, most recently the powerful Llama-2.
“People will only do this if they can contribute to a widely available open platform. They're not going to do this for a proprietary system. So the future has to be open source, if nothing else, for reasons of cultural diversity, democracy, diversity. We need a diverse AI assistant for the same reason we need a diverse press.”initiative, which recognizes leaders from across the world who are driving change in their communities and industries.
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