🏆 Edge#168: OpenAI’s GPT-3 Inspired Model can Solve Problems from the Math Olympiads
Was this email forwarded to you? Sign up here 🏆 Edge#168: OpenAI’s GPT-3 Inspired Model can Solve Problems from the Math OlympiadsFormal mathematics has long been considered one of the toughest challenges for deep learning. OpenAI shows that we are a step closer to a solutionOn Thursdays, we dive deep into one of the freshest research papers or technology frameworks that is worth your attention. Our goal is to keep you up to date with new developments in AI to complement the concepts we debate in other editions of our newsletter. 💥 What’s New in AI: OpenAI’s GPT-3 Inspired Model can Solve Problems from the Math OlympiadsFormal mathematics and theorem proving have been one of the most coveted goals of artificial intelligence (AI) since its early days. Despite massive progress in areas such as natural language understanding (NLU) and computer vision, math theorem proving is often held as one of those hurdles that need to be cleared on the path to AGI. Recently, OpenAI unveiled a model inspired by GPT-3 that is able to solve really complex math problems, including the ones presented in the high school math Olympiads. High school math Olympiads, such as the IMO, AMC12, and AIME competitions, bring together the brightest math students from all over the world to compete in solving very complex theorem-proving problems. These competitions represent the pinnacle of high school math, and the problems often combine different areas of mathematics. The problems presented in high school math Olympiads are several orders of complexity higher than the normal high school math curriculum. As far as a benchmark for AI theorem proving, it doesn’t get much more challenging than this. The Challenges of Formal Mathematics for AI...Subscribe to TheSequence to read the rest.Become a paying subscriber of TheSequence to get access to this post and other subscriber-only content. A subscription gets you:
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