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Self-Improving AI
From AlphaGo to Self-Improving AI
On March 12, 2016, in a Seoul hotel room converted into a makeshift broadcasting studio, the world watched as a computer program made move 37 on a Go board. The move defied three thousand years of accumulated human wisdom about the game. Professional commentators fell silent, confused. Even AlphaGo's creators at DeepMind couldn't immediately explain why their creation had chosen such an unconventional play. Yet this single move would prove pivotal in defeating Lee Sedol, one of humanity's greatest Go players, and more importantly, it revealed an unsettling artificial intelligence had discovered something invisible to human perception.
This moment sparked a question that would consume AI researchers for the next If machines could find hidden strategies in an ancient game that humans had perfected over millennia, what might they discover in the design of AI itself?
Nine years later, on July 24, 2025, that question found its answer. Researchers unveiled ASI-ARCH, an AI system that had autonomously discovered 106 groundbreaking neural network architectures without human guidance. Through 1,773 experiments consuming 20,000 GPU hours, this system didn't just match human-designed models—it consistently surpassed them. The discovered architectures reduced perplexity on WikiText-103 by up to 0.14 points and improved performance on commonsense reasoning benchmarks like Hellaswag by up to 1.5%, all while maintaining the crucial sub-quadratic computational complexity needed for practical deployment.
But here's where our story takes an unexpected turn. You don't need a supercomputer or a corporate research lab to participate in this revolution. This book puts that same self-improving capability into your hands through ASI-GO-2, a system that runs on an ordinary Windows laptop.
Starting with a deceptively simple challenge—finding the first 40 prime numbers—you'll build a system that learns from its own attempts, growing more capable with each problem it solves. The magic lies in four interconnected components working in a Cognition Base that crystallizes knowledge from both scientific literature and experience, a Researcher module that generates creative hypotheses, an Engineer that transforms ideas into working code, and an Analyst that extracts insights from every success and failure.
As you progress from basic mathematical puzzles to algorithm optimization and even automated theorem proving, you'll witness something the emergence of genuine machine intelligence that improves itself. Each problem solved makes the system better at solving the next one, creating a feedback loop of ever-increasing capability.
The same principles that allowed ASI-ARCH to revolutionize neural architecture design are available to anyone willing to learn. This book is your guide to joining a transformation that turns AI research from an exclusive craft practiced by a few into a computationally accessible process.
On March 12, 2016, in a Seoul hotel room converted into a makeshift broadcasting studio, the world watched as a computer program made move 37 on a Go board. The move defied three thousand years of accumulated human wisdom about the game. Professional commentators fell silent, confused. Even AlphaGo's creators at DeepMind couldn't immediately explain why their creation had chosen such an unconventional play. Yet this single move would prove pivotal in defeating Lee Sedol, one of humanity's greatest Go players, and more importantly, it revealed an unsettling artificial intelligence had discovered something invisible to human perception.
This moment sparked a question that would consume AI researchers for the next If machines could find hidden strategies in an ancient game that humans had perfected over millennia, what might they discover in the design of AI itself?
Nine years later, on July 24, 2025, that question found its answer. Researchers unveiled ASI-ARCH, an AI system that had autonomously discovered 106 groundbreaking neural network architectures without human guidance. Through 1,773 experiments consuming 20,000 GPU hours, this system didn't just match human-designed models—it consistently surpassed them. The discovered architectures reduced perplexity on WikiText-103 by up to 0.14 points and improved performance on commonsense reasoning benchmarks like Hellaswag by up to 1.5%, all while maintaining the crucial sub-quadratic computational complexity needed for practical deployment.
But here's where our story takes an unexpected turn. You don't need a supercomputer or a corporate research lab to participate in this revolution. This book puts that same self-improving capability into your hands through ASI-GO-2, a system that runs on an ordinary Windows laptop.
Starting with a deceptively simple challenge—finding the first 40 prime numbers—you'll build a system that learns from its own attempts, growing more capable with each problem it solves. The magic lies in four interconnected components working in a Cognition Base that crystallizes knowledge from both scientific literature and experience, a Researcher module that generates creative hypotheses, an Engineer that transforms ideas into working code, and an Analyst that extracts insights from every success and failure.
As you progress from basic mathematical puzzles to algorithm optimization and even automated theorem proving, you'll witness something the emergence of genuine machine intelligence that improves itself. Each problem solved makes the system better at solving the next one, creating a feedback loop of ever-increasing capability.
The same principles that allowed ASI-ARCH to revolutionize neural architecture design are available to anyone willing to learn. This book is your guide to joining a transformation that turns AI research from an exclusive craft practiced by a few into a computationally accessible process.
146 pages, Kindle Edition
Published August 8, 2025
About the author
H. Peter Alesso
79 books475 followersI love words, but that wasn't always true. I grew up with a talent for numbers, leading me to follow a different path. I went to Annapolis and MIT and became a nuclear physicist at Lawrence Livermore National Laboratory. Only after I retired was my desire to tell stories reawakened.
In recent years, I have immersed myself in the world of words, drawing on my scientific knowledge and personal experience to shape my writing.
As a scientist, I explored physics and technology, which enabled me to create informative and insightful books, sharing my knowledge with readers who sought to expand their understanding in these areas—contributing to their intellectual growth while satisfying my own passion.
But it was my time as a naval officer that ignited my imagination and propelled me into science fiction. After graduating from the United States Naval Academy and serving on nuclear submarines during both hot and cold wars, I witnessed firsthand the complexities and challenges of military operations that seamen face daily.
This allowed me a unique perspective, which I channeled into creating Henry Gallant and a 22nd-century world where a space officer fought against invading aliens. Through this narrative, I explored the depths of human resilience, the mysteries of space, and the intricacies of military conflict.
My stories let me share the highlights of my journey with you. I hope you enjoy the ride. (www.hpeteralesso.com)
H. Peter Alesso Amazon Author Page"
https://www.amazon.com/H.-Peter-Aless...
'The Henry Gallant Sage' Facebook page:
https://www.facebook.com/TheHenryGall...
website: https://www.ai-hive.net/
In recent years, I have immersed myself in the world of words, drawing on my scientific knowledge and personal experience to shape my writing.
As a scientist, I explored physics and technology, which enabled me to create informative and insightful books, sharing my knowledge with readers who sought to expand their understanding in these areas—contributing to their intellectual growth while satisfying my own passion.
But it was my time as a naval officer that ignited my imagination and propelled me into science fiction. After graduating from the United States Naval Academy and serving on nuclear submarines during both hot and cold wars, I witnessed firsthand the complexities and challenges of military operations that seamen face daily.
This allowed me a unique perspective, which I channeled into creating Henry Gallant and a 22nd-century world where a space officer fought against invading aliens. Through this narrative, I explored the depths of human resilience, the mysteries of space, and the intricacies of military conflict.
My stories let me share the highlights of my journey with you. I hope you enjoy the ride. (www.hpeteralesso.com)
H. Peter Alesso Amazon Author Page"
https://www.amazon.com/H.-Peter-Aless...
'The Henry Gallant Sage' Facebook page:
https://www.facebook.com/TheHenryGall...
website: https://www.ai-hive.net/
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