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Home Artificial Intelligence (AI)

Google DeepMind’s AI Cracks Real-World Problems With Large Language Models

Adam Smith – Tech Writer & Blogger by Adam Smith – Tech Writer & Blogger
May 14, 2025
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Google DeepMind’s AI Cracks Real-World Problems With Large Language Models
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Introduction to AlphaEvolve

Google DeepMind has developed a new AI system called AlphaEvolve, which can produce complex code to solve problems that even humans may not be aware of. According to Pushmeet Kohli, a vice president at Google DeepMind, AlphaEvolve can be seen as a "super coding agent" that doesn’t just propose code or edits, but actually produces results that may be unknown to humans.

How AlphaEvolve Works

AlphaEvolve has already made a significant impact by improving the software Google uses to allocate jobs to its servers. This new software has been used across all of Google’s data centers for over a year, freeing up 0.7% of the company’s total computing resources. While this may seem like a small percentage, it’s huge at Google’s scale. Jakob Moosbauer, a mathematician at the University of Warwick, is impressed by AlphaEvolve’s approach, which searches for algorithms that produce specific solutions rather than searching for the solutions themselves.

Background and Development

AlphaEvolve is part of a line of work that Google DeepMind has been pursuing for years, with the goal of using AI to advance human knowledge in math and science. Previous developments include AlphaTensor, which found a faster way to solve matrix multiplications, and AlphaDev, which discovered faster ways to perform basic calculations. FunSearch, which was released in 2023, used large language models (LLMs) to generate code and crack a famous unsolved problem in pure mathematics. AlphaEvolve is the next generation of FunSearch, capable of producing programs that are hundreds of lines long.

Applications and Potential

In theory, AlphaEvolve can be applied to any problem that can be described in code and has solutions that can be evaluated by a computer. This makes its potential impact huge, as algorithms run many aspects of our world. Matej Balog, a researcher at Google DeepMind, notes that the impact of AlphaEvolve could be enormous.

Survival of the Fittest

AlphaEvolve works by being prompted like any LLM. Given a description of the problem and any extra hints, such as previous solutions, AlphaEvolve generates multiple blocks of code to solve the problem using Gemini 2.0 Flash, the smallest and fastest version of Google DeepMind’s flagship LLM.

Conclusion

AlphaEvolve represents a significant advancement in the field of AI and its potential applications in math and science. Its ability to produce complex code and solve problems that may be unknown to humans makes it a powerful tool for advancing human knowledge. As researchers continue to develop and refine AlphaEvolve, its impact is likely to be felt across a wide range of fields.

FAQs

  • Q: What is AlphaEvolve?
    A: AlphaEvolve is an AI system developed by Google DeepMind that can produce complex code to solve problems.
  • Q: How does AlphaEvolve work?
    A: AlphaEvolve uses large language models to generate code and solve problems, given a description of the problem and any extra hints.
  • Q: What are the potential applications of AlphaEvolve?
    A: AlphaEvolve can be applied to any problem that can be described in code and has solutions that can be evaluated by a computer, making its potential impact huge.
  • Q: Is AlphaEvolve available for public use?
    A: The article does not mention AlphaEvolve being available for public use, suggesting it may still be in the development or internal use phase at Google DeepMind.
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Adam Smith – Tech Writer & Blogger

Adam Smith – Tech Writer & Blogger

Adam Smith is a passionate technology writer with a keen interest in emerging trends, gadgets, and software innovations. With over five years of experience in tech journalism, he has contributed insightful articles to leading tech blogs and online publications. His expertise covers a wide range of topics, including artificial intelligence, cybersecurity, mobile technology, and the latest advancements in consumer electronics. Adam excels in breaking down complex technical concepts into engaging and easy-to-understand content for a diverse audience. Beyond writing, he enjoys testing new gadgets, reviewing software, and staying up to date with the ever-evolving tech industry. His goal is to inform and inspire readers with in-depth analysis and practical insights into the digital world.

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