Google DeepMind is making significant strides in artificial general intelligence (AGI). According to a recent paper, researchers at DeepMind propose that "reward is enough" to drive behavior that exhibits most, if not all, abilities studied in natural and artificial intelligence. This approach suggests that instead of developing newer technology, reward maximization and trial-and-error experience are sufficient to develop AGI.
DeepMind's researchers draw parallels between the evolution of natural intelligence and achievements in AI, proposing that reward maximization can lead to artificial intelligence that outperforms humans at nearly every cognitive task. They argue that the most general and scalable way to maximize reward is through agents that learn through interaction with the environment.
Google DeepMind's focus on AGI is part of its broader efforts to advance AI research and development. The company has also released a paper on AGI safety, highlighting the importance of responsible AI development. Additionally, Google DeepMind is working with Indian startups to expand access to its AI models and introduce new language tools.
