Indian Grandmaster Vidit Gujrathi: Bridging Chess and Technology Through AI Innovation
Bengaluru: Chess Grandmaster Vidit Gujrathi Merges Mind and Machine with Innovative AI Tools
In a world where technology and traditional sports often collide, Indian chess grandmaster Vidit Gujrathi is at the forefront of this exciting intersection. The 31-year-old prodigy, known for his strategic prowess on the chessboard, is now making waves in the tech industry with his groundbreaking applications aimed at enhancing the chess experience.
Recently, Gujrathi has garnered attention for his latest creation, Kibitz, a tool designed to predict the moves of grandmasters during matches. This innovative app has sparked interest from tech insiders and potential investors, especially after a recent shout-out from NVIDIA. “I wanted to solve a real problem rather than just create something for a hackathon,” he explained. “Chess engines often fail to convey the human thought process behind moves. Kibitz aims to bridge that gap.”
Gujrathi’s journey into the tech realm began during his tenure as a second to fellow grandmaster Anish Giri. Initially limited by his coding skills, he embraced the advancements in large language models (LLMs) in 2023-24, allowing him to experiment with AI in ways he had only dreamed of. “It felt magical,” he said, reflecting on his newfound capabilities.
The chess world has long been intertwined with artificial intelligence, dating back to the historic 1997 match when IBM’s Deep Blue defeated Garry Kasparov. Gujrathi recognizes the potential of AI not just for training but also for enhancing the viewer’s experience. “The human side of chess is often overlooked,” he noted. “With Kibitz, broadcasters can provide AI commentary that reflects a grandmaster’s thought process.”
Currently, Kibitz boasts a first-move accuracy of 56%, with an impressive 86% accuracy for the first three moves. Gujrathi is optimistic about improving these figures as he tests the model on larger datasets. “I want to see if it holds up,” he stated, emphasizing his commitment to refining the tool.
Despite his success, Gujrathi’s path has not been without challenges. After a peak rating of 2747 in early 2024, he faced burnout following the Candidates tournament. “I realized I didn’t have the motivation to compete at that level again,” he admitted. This led him to scale back his competitive appearances and focus on his passion for technology.
As he prepares for the upcoming Global Chess League, Gujrathi remains introspective about his chess career. “I feel a lot of dissatisfaction with my current level,” he confessed. “I believe I’m better than this.” His foray into tech is not just a distraction; it’s a way to tackle the challenges he faces in chess. “Every expert should leverage technology to solve the problems they encounter,” he urged.
Looking ahead, Gujrathi envisions a future where he can mentor younger players, sharing his insights at the intersection of chess and technology. “In tech and AI, there are greater opportunities for collaboration,” he remarked. “Everyone can win.”
As he continues to innovate, Gujrathi’s journey serves as a reminder that the boundaries between disciplines are increasingly blurred, and the future of chess may very well be shaped by the very technology that once seemed like a rival.