Machine Learning

Deep Learning Explainable AI Featured Posts Generative AI Machine Learning Natural Language Processing

96% Correct Next Token Prediction, with No DNN, no Training, auto-distilled model

Over the last 12 months, I’ve built a model to predict the next token and to suggest synonyms or related queries to a user prompt, with 100% correct predictions on the training set in one shot, without training or deep neural networks (DNNs). The same model is now integrated in some of the most recent […]

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Data Sets Deep Learning Experimental Math Featured Posts Generative AI Machine Learning Statistical Science

Invitation to Crack Codes Using AI

Could you use AI to crack a cypher? For instance, predict the next bits in bitstreams produced by a high-quality PRNG (pseudo-random generator). Or correctly guessing the next bit in sub-sequences of 100,000 consecutive binary digits of π starting at arbitrary positions, with a success rate above 55%. Without knowing that the digits come from […]

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Explainable AI Featured Posts Generative AI Machine Learning Statistical Science Stochastic Systems

NPG: New Random Generator, 3x Faster & Stronger than PCG64

The NumPy library in Python, and many other systems, relied on the Mersenne Twister PRNG (pseudo-random number generator) for a long time. It was slow and did not mimic randomness well enough, failing some statistical tests. In addition, it could be cracked, raising security issues. It was replaced recently by PCG64 which addresses some of […]

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Books Explainable AI Featured Posts Generative AI Machine Learning Python Statistical Science Visualization

Mesmerizing Video that will Make you Love Math, Engineering, and Probability

  Featuring the roots of various polynomials whose coefficients are the binary digits of numbers like π. Complex roots cluster around the circle, and the few real ones are on the horizontal X-axis (positive on the right, negative on the left). Download the free paper to see how to interpret the colors and get the […]

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Data Sets Experimental Math Featured Posts Statistical Science Synthetic Data

How Random are the Digits of π? 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 they are undistinguishable from random bit streams. And trying to identify which constants are the […]

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Computer Vision Data Sets Featured Posts Python Statistical Science Visualization

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

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 video). All done in Python with source code available here. The video is also on YouTube, here. For […]

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Explainable AI Featured Posts Generative AI Machine Learning Natural Language Processing Python

xLLM Version 2.0: GitHub Repository with Innovative AI Agents

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). All home-made from scratch with radically different technology. You can check the new repository, here. Start with the README […]

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Explainable AI Featured Posts Generative AI Machine Learning Python Statistical Science Stochastic Systems Synthetic Data

Checking for Randomness: Replacing Test Batteries with a Single Test

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 is random enough for practical purposes. This is also true in scientific research, to assess whether or not the digits of π or other […]

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Experimental Math Featured Posts Python Statistical Science Stochastic Systems

Spectacular New Discovery about the Digits of π

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 tests of randomness. However, proving that they indeed behave perfectly randomly is arguably one of the oldest and most difficult unsolved math conjectures. So far, nobody succeeded […]

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Books Experimental Math Featured Posts Python Statistical Science Stochastic Systems

New Book: Breakthroughs on the Digit Distribution of Classic Constants

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 the author, many still leading to interesting quantum dynamics. In 100 pages, the new material presented here goes far […]

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