🧮 AlphaEvolve: AI Just Cracked a 50-Year-Old Math Problem — And It’s Just Getting Started

NewBits Media
May 19
2 min read

Updated: Jun 26

In a bold new step toward autonomous scientific discovery, Google has introduced AlphaEvolve, an AI-powered coding agent designed to tackle some of the hardest problems in science and computation. Blending Gemini’s intelligence with evolutionary algorithms, AlphaEvolve isn’t just writing code — it’s rewriting what’s possible.

🔍 What AlphaEvolve Does:

AlphaEvolve uses a team of Gemini models:

Gemini Flash generates creative algorithmic ideas,
Gemini Pro analyzes and refines those ideas,
And evaluators test and evolve the code over generations.

This looped, Darwin-style process has already delivered results that are turning heads.

⚡ Breakthroughs So Far:

📐 Cracked Strassen’s Algorithm

AlphaEvolve discovered the first improvement on Strassen’s matrix multiplication method — a problem unsolved since 1969.

🧠 Internal Efficiency Gains

Google’s own systems are getting smarter: AlphaEvolve is optimizing data center scheduling, enhancing AI model training, and even contributing to chip design.

🧮 New Math, New Frontiers

On a benchmark of 50+ open mathematical problems, it matched the best-known solutions in 75% of cases and found new, better solutions in 20%.

🌍 Why AlphaEvolve Matters:

As OpenAI’s Jakub Pachocki recently put it, we’re seeing “significant evidence” that AI can generate novel insights. AlphaEvolve is proof. It’s not just solving problems faster — it’s finding answers that humans missed entirely.

And because math underpins everything from physics to economics to machine learning, this kind of algorithmic creativity could reshape not just science, but society.

The bottom line:

With AlphaEvolve, Google isn’t just building better code — it’s building a new kind of mathematician.

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