Former Google employee Deedy Das recently shared an online post, highlighting the company’s artificial intelligence has made math discoveries never achieved by humans. In the post, Das said Google’s new AI agent – AlphaEvolve resolved complex problems, including the optimal way to fit 11 and 12 hexagons into a larger hexagon — a challenge that has long remained unsolved.
Another major breakthrough highlighted in the post is the improvement in matrix multiplication. The AI, he writes in the post, reduced the number of steps needed to multiply two 4x4 matrices from 49 to 48 — the first such improvement in 56 years.
Das termed AlphaEviolve as the “AlphaGo move 37 moment for math,” referencing a historic 2016 move by Google’s AI during a professional Go match that stunned experts.
In the post, Das wrote:
“Google's AI just made math discoveries NO human has!
—Solved optimal packing of 11 and 12 hexagons in hexagons.
—Reduced 4x4 matrix multiplication from 49 operations to 48 (first advance in 56 years!)
and many more.
AlphaEvolve is the AlphaGo 'move 37' moment for math. Insane.”
What is AlphaEvolve
Google’s DeepMind recently announced AlphaEvolve – an evolutionary coding agent powered by large language models for general-purpose algorithm discovery and optimization. Announcing the new tool in a blog post, the company said “AlphaEvolve pairs the creative problem-solving capabilities of our Gemini models with automated evaluators that verify answers, and uses an evolutionary framework to improve upon the most promising ideas.”
“AlphaEvolve enhanced the efficiency of Google's data centers, chip design and AI training processes — including training the large language models underlying AlphaEvolve itself. It has also helped design faster matrix multiplication algorithms and find new solutions to open mathematical problems, showing incredible promise for application across many areas,” the blog added.
Google CEO Sundar Pichai ’s post on AlphaEvolve
Announcing the new AI tool, Google CEO Sundar Pichai wrote:
“AlphaEvolve, our new Gemini-powered coding agent, can help engineers + researchers discover new algorithms and optimizations for open math + computer science problems.
We’ve used it to improve the efficiency of our data centers (recovering 0.7% of our fleet-wide compute resources on average). We’re also using it in chip design and to speed up Gemini’s training, the very models underpinning AlphaEvolve itself — an exciting flywheel of progress!”
Another major breakthrough highlighted in the post is the improvement in matrix multiplication. The AI, he writes in the post, reduced the number of steps needed to multiply two 4x4 matrices from 49 to 48 — the first such improvement in 56 years.
Das termed AlphaEviolve as the “AlphaGo move 37 moment for math,” referencing a historic 2016 move by Google’s AI during a professional Go match that stunned experts.
Google's AI just made math discoveries NO human has!
— Deedy (@deedydas) May 15, 2025
—Solved optimal packing of 11 and 12 hexagons in hexagons.
—Reduced 4x4 matrix multiplication from 49 operations to 48 (first advance in 56 years!)
and many more.
AlphaEvolve is the AlphaGo 'move 37' moment for math. Insane. pic.twitter.com/ZOK16Qtacm
In the post, Das wrote:
“Google's AI just made math discoveries NO human has!
—Solved optimal packing of 11 and 12 hexagons in hexagons.
—Reduced 4x4 matrix multiplication from 49 operations to 48 (first advance in 56 years!)
and many more.
AlphaEvolve is the AlphaGo 'move 37' moment for math. Insane.”
What is AlphaEvolve
Google’s DeepMind recently announced AlphaEvolve – an evolutionary coding agent powered by large language models for general-purpose algorithm discovery and optimization. Announcing the new tool in a blog post, the company said “AlphaEvolve pairs the creative problem-solving capabilities of our Gemini models with automated evaluators that verify answers, and uses an evolutionary framework to improve upon the most promising ideas.”
“AlphaEvolve enhanced the efficiency of Google's data centers, chip design and AI training processes — including training the large language models underlying AlphaEvolve itself. It has also helped design faster matrix multiplication algorithms and find new solutions to open mathematical problems, showing incredible promise for application across many areas,” the blog added.
Google CEO Sundar Pichai ’s post on AlphaEvolve
Announcing the new AI tool, Google CEO Sundar Pichai wrote:
“AlphaEvolve, our new Gemini-powered coding agent, can help engineers + researchers discover new algorithms and optimizations for open math + computer science problems.
We’ve used it to improve the efficiency of our data centers (recovering 0.7% of our fleet-wide compute resources on average). We’re also using it in chip design and to speed up Gemini’s training, the very models underpinning AlphaEvolve itself — an exciting flywheel of progress!”
AlphaEvolve, our new Gemini-powered coding agent, can help engineers + researchers discover new algorithms and optimizations for open math + computer science problems.
— Sundar Pichai (@sundarpichai) May 14, 2025
We’ve used it to improve the efficiency of our data centers (recovering 0.7% of our fleet-wide compute… pic.twitter.com/wjiTZsLfLZ
You may also like
Chanakya Niti: Never be hostile to these 4 types of people, otherwise you may suffer huge losses
"Ensuring safety, interests of nation remain our top priority": Union MoS Murlidhar Mohol after Centre bans Celebi
Dancer left with burns covering 90 per cent of body after fire dance goes wrong
Preity Zinta looks back at Cannes 2024: 'When I officially got back to showbiz'
Older Brits are facing huge scam threat - and companies are falling short
