The following is a book review of "The Social History of the Machine Gun" by John Ellis originally published in 1975 Sometime in the years just before the First World War, a British general was asked by a group of younger officers what they should do with the machine guns recently assigned to their

We live in a cloud-native ecosystem. Most products and solutions either operate entirely on cloud infrastructure or through a hybrid cloud/on-premise arrangement.

There is a prevailing assumption about Large Language Models and the data on which they are trained: that the data is objective and that if there is enough of it, the model should work for everyone, everywhere. Data, in this view, is raw material: neutral, universal, waiting to be refined by algorit

One consistent feature of the neural network AI era is its innate unpredictability, inconsistency, and perhaps most consequentially, its inability to articulate its reasoning and logic. We have grown accustomed to AI systems that can synthesize vast quantities of information, generate fluent text an

This is the third in a three part series exploring the challenges the intelligence profession faces in the age of AI. Part I examined how AI transforms the individual analyst's role and cognitive practice.

The following Is a book review of "How Data Happened: A History from the Age of Reason to the Age of Algorithms" by Chris Wiggins and Matthew L. Jones published in 2023 Statistics does not simply represent the world.

This is the second in a three-part series exploring the challenges the intelligence profession faces in the age of AI. Part I examined how AI transforms the individual analyst's role and cognitive practice.

This is the first in a three-part series exploring the challenges the intelligence profession faces in the age of AI. It examines how AI transforms the individual analyst's role and cognitive practice.