xLLM and AI Technology

The document “xLLM and AI Technology” delves into the advancements in AI technology, particularly focusing on the xLLM platform. It explores the innovative applications of xLLM in enterprise AI, emphasizing its secure, in-house, and lightning-fast capabilities without the need for GPUs. The content highlights the author’s expertise as a GenAI scientist and successful entrepreneur, offering insights into the practical implementation of AI in various fields like computer science, physics, machine learning, and quantitative finance. The document also touches on the book’s emphasis on theoretical and computational number theory, quantum dynamics, and the practical applications of AI in pattern detection, cryptography, and high-performance computing.

Are the Digits of Pi Random? State of the Art & Free Book on the Topic

Over the last 10 years, I spent a lot of time analyzing the digits of the classic math constants such as π, e, log 2, √2 and so on. Not testing them for randomness but trying to formally prove that th...

Pi Day in the age of AI — The Missing $1m Millenium Prize

xLLM and AI Technology

Pi Day is celebrated every year on 3/14. Enjoy and share the video I created with our “Pi Day AI agent” at BondingAI, generating hundreds of webpages, turning each one in a screenshot (a frame in the ...

xLLM Version 2.0: GitHub Repository with Innovative AI Agents

xLLM and AI Technology

I am putting all the new code and documentation about xLLM v 2.0 on GitHub, starting with various AI agents. At least, what is open-source and public (there is a lot more behind the public material). ...

Checking for Randomness: Replacing Test Batteries with a Single Test

xLLM and AI Technology

In cybersecurity applications where replicability is critical, or when building pseudo-random number generators, it is typical to perform a large number of various tests to check if a sequence of bits...

Spectacular New Discovery about the Digits of π

xLLM and AI Technology

Everyone believes that the digits of constants such as π or √2 cannot be distinguished from a sequence of random bits. The first few trillion successfully pass all test of randomness. However, proving...

New Book: Breakthroughs on the Digit Distribution of Classic Constants

xLLM and AI Technology

Since the first edition entitled “0 and 1 — From Elemental Math to Quantum AI” and released in early 2025, a lot of progress has been made. Fascinating new results have been uncovered and proved by th...