News from the AI & ML world
DeeperML
@Google DeepMind Blog
//
Google DeepMind has announced AlphaEvolve, an AI coding agent that enhances the problem-solving abilities of large language models (LLMs) like Gemini. Unveiled in May 2025, AlphaEvolve utilizes a blend of LLMs' creative generation capabilities with genetic algorithms, marking a significant advancement in AI's capacity to automate and optimize coding processes. This system is not merely a code generator but a self-evolving AI designed to discover novel and efficient algorithms through automated code generation and testing.
AlphaEvolve operates through a process akin to natural selection for software. It begins with an initial code, potentially a "skeleton" provided by a human, and iteratively refines it. The system intelligently crafts prompts for the underlying Gemini LLM, instructing it to act as a world-class expert in a specific domain, utilizing context from previous attempts. The LLM then generates a diverse pool of candidate solutions, exploring different approaches to the problem at hand.
The AI agent has already demonstrated its prowess by improving Google’s data center energy efficiency by 0.7%, optimizing matrix multiplications to speed up Gemini’s training by 23%, and co-designing a portion of Google’s next AI chip. Furthermore, AlphaEvolve has tackled over 50 open problems in mathematics, even discovering a new lower bound for the 300-year-old kissing number problem in 11-dimensional space, surpassing the progress of expert mathematicians. This represents a significant stride toward production-grade AI agent engineering.
ImgSrc: lh3.googleuserc
References :
AlphaEvolve operates through a process akin to natural selection for software. It begins with an initial code, potentially a "skeleton" provided by a human, and iteratively refines it. The system intelligently crafts prompts for the underlying Gemini LLM, instructing it to act as a world-class expert in a specific domain, utilizing context from previous attempts. The LLM then generates a diverse pool of candidate solutions, exploring different approaches to the problem at hand.
The AI agent has already demonstrated its prowess by improving Google’s data center energy efficiency by 0.7%, optimizing matrix multiplications to speed up Gemini’s training by 23%, and co-designing a portion of Google’s next AI chip. Furthermore, AlphaEvolve has tackled over 50 open problems in mathematics, even discovering a new lower bound for the 300-year-old kissing number problem in 11-dimensional space, surpassing the progress of expert mathematicians. This represents a significant stride toward production-grade AI agent engineering.
ImgSrc: lh3.googleuserc
Share:
References :
- LearnAI: Google’s AlphaEvolve Is Evolving New Algorithms — And It Could Be a Game Changer
- The Next Web: 5 impressive feats of DeepMind’s new self-evolving AI coding agent
- Towards Data Science: A blend of LLMs' creative generation capabilities with genetic algorithms
- www.unite.ai: Google DeepMind has unveiled AlphaEvolve, an evolutionary coding agent designed to autonomously discover novel algorithms and scientific solutions. Presented in the paper titled “AlphaEvolve: A Coding Agent for Scientific and Algorithmic Discovery,†this research represents a foundational step toward Artificial General Intelligence (AGI) and even Artificial Superintelligence (ASI).
Classification:
- HashTags: #GoogleDeepMind #AlphaEvolve #AIcoding
- Company: Google DeepMind
- Target: Developers
- Product: AlphaEvolve
- Feature: AlphaEvolve
- Type: AI
- Severity: Informative