Google DeepMind researchers claim that developing an artificial intelligence (AI) capable of defeating humans in various games is a crucial step towards achieving a more generalized intelligence. DeepMind’s AI, known as the Student of Games (SoG), can outperform human players in games like chess, Go, and poker. It can adapt to both perfect-knowledge games (such as chess) and imperfect-knowledge games (like poker), making it more versatile than previous AI models.
SoG learns games through practice and has the ability to teach itself new strategies, gradually becoming more skilled. It has been tested and proven to be superior to existing AI models and human players in chess, Go, poker, and other games. Although SoG’s performance may be slightly lower than DeepMind’s specialized algorithms, it can still easily defeat human players. However, it is important to note that the controlled nature of games makes them different from real-world situations, and there is still a long way to go before achieving true artificial general intelligence (AGI).
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