A top AI researcher explains the limitations of current models
Welcome to AI Decoded, Fast Company’s weekly newsletter that breaks down the most important news in the world of AI. You can sign up to receive this newsletter every week via email here. François C...
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Welcome to AI Decoded, Fast Company’s weekly newsletter that breaks down the most important news in the world of AI. You can sign up to receive this newsletter every week via email here. François Chollet on AI benchmarks I wrote an exclusive feature this week about the launch of a new AI benchmark called ARC-AGI-3. The benchmark was created by influential AI researcher Francois Chollet, who also created the widely-used Keras deep learning framework, a simplified toolkit for building AI models. Chollet has long argued that current AI models are limited in their ability to navigate novel situations and problems. The ARC test, which humans can master but not most AI systems, is designed to lay bare that limitation. My interview with Chollet contained a lot of general insights that didn’t make it into the story. Here are some of them (with my annotations in bold.) ARC-AGI-3 asks AI agents to navigate a series of simplistic video games, without instructions. Here’s Chollet on why curr