DeepMind’s AI finds new solution to decades-old math puzzle

Key Points:

  • DeepMind’s language model, FunSearch, has made a significant breakthrough by finding a novel solution to the “cap set puzzle,” indicating potential advancements in AI development.
  • FunSearch’s ability to find new solutions for large cap sets and contribute to verifiable scientific knowledge demonstrates the potential of using large language models in scientific research.
  • The use of an automated fact-checker within FunSearch sets it apart from traditional large language models and makes it a promising tool for scientists, as it not only produces solutions but also reveals their construction process, potentially inspiring further insights and discoveries.

Summary:

DeepMind’s language model, FunSearch, has made a significant breakthrough by discovering a novel solution to a challenging math problem known as the “cap set puzzle.” This achievement could potentially signal a new era in AI development.

 

FunSearch excelled in finding new constructions for large cap sets, surpassing the best-known solutions to date. While it did not solve the cap set problem definitively, it contributed to a new piece of verifiable knowledge about this scientific problem, representing the first scientific discovery using a large language model.

 

The use of an automated fact-checker within FunSearch differentiates it from traditional large language models, making it a promising tool for scientists. The continuous interaction between the language model and the fact-checker not only produces solutions but also reveals the construction process, potentially inspiring further insights and discoveries in scientific research.

DAILY LINKS TO YOUR INBOX

PROMPT ENGINEERING

Prompt Engineering Guides

ShareGPT

 

©2024 The Horizon