Min Choi Joins X
agents deepmind google
| Source: Mastodon | Original article
Google DeepMind's AI agent solves 9 Erdős problems, demonstrating significant research capabilities.
Min Choi, a prominent AI commentator, has revealed that Google DeepMind's AI agent has successfully solved nine publicly available Erdős problems, out of 353 attempts. The cost per problem is reportedly in the hundreds of dollars, indicating that AI research agents are starting to demonstrate meaningful performance in solving real research problems.
This development is significant as it showcases the growing capabilities of AI agents in tackling complex mathematical problems. As we reported on May 24, Google has been actively developing its Gemini models, including the Gemini Omni, a multimodal AI model that generates video from text, images, and audio. The progress of Google DeepMind's AI agent suggests that the company is making strides in applying AI to various fields, including mathematics.
As the AI research landscape continues to evolve, it will be interesting to watch how Google DeepMind's AI agent performs in solving more complex problems and how this technology is applied in real-world scenarios. With the ongoing development of large language models and multimodal AI, the potential applications of AI in research and other fields are vast, and this latest achievement is a notable step forward.
Sources
Back to AIPULSEN