About the Book

A Revolutionary Vision for AI

Prognostications on the future of artificial intelligence have long taken on the flavor of science fiction. But long before any far-flung visions are realized, a profound reconstruction of the way industry uses analytics will occur.

As companies recognize the contradiction inherent in the artisan production of machine learning, they will cleave the open-ended search for models and data away from other business logic.

In doing so they will encourage commoditization of microprediction and the explosive growth in a new and revolutionary construct: a fabric on which algorithms, data, entangled secrets and other strange denizens of a new micro-world provide a networked solution.

Dr. Peter Cotton

Dr. Peter Cotton

Chief Technology Officer, Global Strategic Minerals Corporation

Dr. Peter Cotton is a quantitative finance practitioner, entrepreneur, and active open-source contributor.

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Microprediction: Building an Open AI Network

0:00 0:00
01

Front Matter

Introduction and preface to the book

02

Chapter 1

The foundation of microprediction

03

Overview

High-level concepts and framework

04

Commercial Use

Practical applications in business

05

Oracles

Understanding prediction oracles

06

Economical Statistics

Statistical foundations and economics

07

Micro-Managers

Management in distributed systems

08

Contests

Competitive prediction frameworks

09

Communication

Network communication protocols

10

Decisions

Decision-making in AI networks

11

Privacy

Privacy considerations and solutions

12

Afterword

Conclusions and future directions

Awards & Recognition

MIT Press Top Books 2022

Selected among the best books published by MIT Press in 2022

Quant Book of the Year

Named by Rebellion Research, host of the MIT Quant and AI Conference

Eric Hoffer Award Category Finalist

Recognized by the prestigious Eric Hoffer Award for literary achievement

Analytics India Must Read 2022

Featured in Analytics India Magazine's Must Read AI Books of 2022

Professional Reviews

"Great initiative and quite innovative framework developed in your platform (and your great book which is certainly one of the most interesting reads I had in 2022)."

— Rachid Lassoued, Global Head of Financial Engineering & Risk, Bloomberg

"Microprediction by Peter Cotton is a smart read. The author lays down the foundations of greenfield mass prediction as a service with an economic rationale and a high-level system design vision. The read is dense and packed with statistics, economics, and optimal control, all intertwined into a cohesive and engaging story."

— Oleksiy Lialka, Data Scientist, Kiarna

"Cotton is a brilliant, original, 'out of the box' thinker with command of his subject. Cotton's Microprediction is necessary reading for those whose success depends upon data-driven predictions."

— Joseph Langsam, PhD, Board on Mathematical Sciences and Analytics, National Academies Sciences, Engineering and Medicine

Press & Media

Elevator Pitch

What if there was a source of intelligence, akin to an electrical outlet, which was easy for anyone to plug into? The book is a call to action to create a utility as transformative as the web itself, one providing AI to everyone at arbitrarily low cost.

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