DeepMind’s FunSearch AI Model Discovers New Mathematical Solutions

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DeepMind claims its AI can tackle unsolved mathematics

Google-owned DeepMind has announced that its FunSearch AI model has made a breakthrough in solving unsolved mathematical problems. The company claims that FunSearch’s automated evaluator prevents the model from sharing factually incorrect information or hallucinations, which have plagued other AI models in the past.

FunSearch was put to the test on the cap set problem, an unsolved math puzzle involving the identification of the largest size of a particular set. DeepMind claims that the model discovered new constructions of large cap sets that surpass the best known solutions.

In addition to its success in mathematics, DeepMind says FunSearch also proved valuable in discovering more effective algorithms for the bin-packing problem, a task with applications in data center efficiency.

The FunSearch AI model consists of an automated evaluator and a pre-trained large language model (LLM) that aims to provide creative solutions. DeepMind describes the interaction between these two components as an evolutionary method for problem-solving.

To present problems to the AI model, code is used, including a procedure for evaluating programs and a seed program to initialize a program pool. FunSearch then selects and builds upon programs, evaluating and adding the best solutions back into the program pool, creating a self-improving loop.

DeepMind believes that the success of FunSearch demonstrates the potential of AI models to not only make mathematical discoveries but also to provide impactful solutions to real-world problems when safeguards against hallucinations are in place.

This latest achievement adds to DeepMind’s track record of groundbreaking AI innovations. In the past, the company’s AlphaFold model accurately predicted the structure of a large number of proteins, while other AI models have been utilized for weather prediction and materials research.

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DeepMind’s continued advancements in AI have the potential to revolutionize various industries and contribute to scientific progress. With its latest AI model, FunSearch, DeepMind hopes to unlock new solutions to complex problems that have long remained unsolved.

Frequently Asked Questions (FAQs) Related to the Above News

What is DeepMind's FunSearch AI model?

DeepMind's FunSearch AI model is a combination of an automated evaluator and a pre-trained large language model (LLM) that aims to provide creative solutions to complex problems.

What breakthrough has FunSearch made in solving unsolved mathematical problems?

FunSearch has made a breakthrough in solving the cap set problem, an unsolved mathematical puzzle. It has discovered new constructions of large cap sets that surpass the best known solutions.

How does FunSearch prevent sharing factually incorrect information or hallucinations?

FunSearch's automated evaluator prevents the model from sharing factually incorrect information or hallucinations. This has been a problem with other AI models in the past.

Besides mathematics, in what other area has FunSearch proved to be valuable?

FunSearch has also been valuable in discovering more effective algorithms for the bin-packing problem, which has applications in data center efficiency.

How does FunSearch work?

FunSearch uses a combination of code, including a procedure for evaluating programs and a seed program to initialize a program pool. It selects and builds upon programs, evaluating and adding the best solutions back into the program pool in a self-improving loop.

What are the potential applications of FunSearch and AI models like it?

FunSearch and AI models like it have the potential to make mathematical discoveries and provide impactful solutions to real-world problems when safeguards against hallucinations are in place. They can revolutionize various industries and contribute to scientific progress.

What are some other achievements by DeepMind in the field of AI?

DeepMind's AlphaFold model accurately predicted the structure of numerous proteins, while other AI models have been utilized for weather prediction and materials research.

What is the overall goal of FunSearch?

The overall goal of FunSearch is to unlock new solutions to complex problems that have long remained unsolved using AI technology.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

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