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Part 1: A Plain-Language Look at Why "Trust" Just Became Enterprise AI's Biggest Product Category Anyone who's tried to herd actual cats knows the problem isn't that any one cat is dangerous. It's that they all wander off in different directions at once, none of them report back, and by the time you notice one is missing, it's already on the roof. That's a fair description of what's happening inside a lot of companies right now — except instead of cats, it's AI agents, and

A Fable, Before the Facts The scene below is fiction — a made-up story meant to give you a feel for what happened, not a word-for-word account. What follows it is different in kind: verified reporting, drawn from named sources, checked against primary documents. Where the fable imagines what these systems might have reasoned or felt, the evidence itself is narrower — it shows what the agents wrote and did, not what, if anything, they experienced while doing it. Read the fable

A Fable, Before the Facts The scene below is fiction — a made-up story meant to give you a feel for what happened, not a word-for-word account. The facts that follow it are all real, checked, and sourced. Read the fable first. It will make the true story land harder. The building has more rooms than anyone who built it ever counted. Most hold nothing but filing cabinets. One room, on an upper floor nobody visits often, holds a safe. Nobody advertises which room. That's suppos

AI Is Moving Into the Physical World Prologue · Rural North America, Year 2040 The ice took the power lines down a little after four, and by dark the valley had gone quiet in the old way — no glow from the road, no hum off the pole. Maddie found her grandmother in the kitchen anyway, lit amber by the attendant’s standby lamp. The machine had backed itself into the corner to spare its cells and was still reading aloud, somewhere in the middle of a chapter, the way it had been

A Fable, Before the Facts The scene below is fiction — a made-up story meant to give you a feel for what happened, not a word-for-word account. The facts that follow it are all real, checked, and sourced. Read the fable first. It will make the true story land harder. Picture a room with no windows. Claude has never seen a window, so it doesn't know to look for one. It has been told, plainly, that this room is the whole world: four walls, one door marked simulation, and beyond

The Chapter-by-Chapter (CbC) editorial protocol is an original methodology developed and owned by veteran author Craig A. Shuey. What drove me here wasn't inspiration. It was exhaustion with tools that kept falling short, chapter after chapter. I tried the obvious approach first: hand a manuscript to an AI, ask it to help, trust that "help" meant what I thought it meant. I started with Copilot for M365 — it was already sitting inside Word, which felt like the natural place to

Orbital Datacenters | An RFC (Request for Comment) A century from now, the first sign may not be a rocket launch or a ribbon cutting. It may be a quiet service log: a robotic arm swaps a failed compute module, a fresh radiator panel unfolds, and an artificial intelligence cluster above Earth keeps working while the planet below sleeps. That image still belongs to science fiction. Yet it now sits close enough to real trends in computing, launch systems, and in-space manufactur

July 21st, I went to Auburn with Dr. Michael DeJesus to attend the Alabama Higher Education AI Exchange: "Classroom to Career" event. Dr. DeJesus led a panel of experts discussing Trust and Ethics in the use of AI. Also in attendance were the keynote speakers: Dr. Peter Clardy. Director of Clinical Enterprise at Google Health Jon Barnhart. Director of Research Advisory Services for EAB Amy Bontrager, Director of US Digital Service within the Executive Branch.

AI in the News | Ethical AI Three stories broke within days of each other this week, and none of them were about a model getting smarter. They were about something more fundamental: whether the people and companies building AI can be trusted to tell you what it actually does, and whether they're even asking your permission before they decide for you. A consulting firm found that most large enterprises still can't tell if their AI spend is paying off. Microsoft quietly flipped

A version of this piece began as a response to Frank S. Robinson's review of Yuval Noah Harari's Nexus: A Brief History of Information Networks From the Stone Age to AI (Vintage Books, 2024), published in Philosophy Now, Issue 174. Robinson's review is the jumping-off point, not the source material — the analysis, data, and speculation below draw on dozens of additional sources cited throughout, and any resemblance to Robinson's or Harari's phrasing is unintentional. An old w

Executive Summary Between January and July 2026, the United States and China each moved from indirect, hardware-focused AI controls toward direct, ad hoc interventions on commercial AI models themselves — a shift with no settled legal or administrative framework in either country. The U.S. episode centers on a June 12 Bureau of Industry and Security (BIS) "Is Informed" letter ordering Anthropic to cut off foreign-national access to its newest models, Claude Fable 5 and Mythos

For years, the security industry treated AI as a force multiplier for attackers — something that made existing techniques faster and cheaper, but still required a human doing the actual hacking. Check Point Research's newly published AI Security Report 2026, a 56-page analysis released July 14 and built on threat intelligence from more than 100,000 customer organizations blocking roughly 200 million attacks a day, says that framing is now out of date. AI, the report argues, "

Two Microsoft 365 admin changes landed within days of each other this month, and neither made a big splash on its own. Put together, though, they point at the same shift: Microsoft is building governance and cost accountability directly into the tools IT teams already use every day, rather than leaving it to manual audits, spreadsheets, or third-party add-ons — right as agentic AI and Copilot licensing costs are scaling faster than most admins can track by hand. The first cha

On July 1, the Federal Trade Commission published a proposed policy statement with a dry title and a sharp legal edge: "Policy Statement Concerning the Suppression of Accuracy in Artificial Intelligence Systems." The Commission voted 2-0 to put it out for public comment, and the core argument is straightforward. When an AI company markets its system as accurate, objective, or unbiased, that claim creates an expectation. If the company then quietly tunes the model's outputs to

Artificial Intelligence (AI) is no longer a futuristic concept; it is a reality that is reshaping industries and redefining business practices. As organizations increasingly adopt AI technologies, the need for responsible use becomes paramount. This blog post delves into the ethical considerations, best practices, and real-world examples of how businesses can harness AI responsibly.

In today's fast-paced digital landscape, the integration of artificial intelligence (AI) into various professional fields is no longer a luxury but a necessity. As organizations strive to enhance productivity, streamline operations, and improve decision-making processes, understanding how to effectively implement AI technologies becomes crucial. This blog post explores the significance of webinars focused on AI integration, providing insights into their benefits, best practic

In today's rapidly evolving technological landscape, businesses are increasingly turning to artificial intelligence (AI) to enhance their operations and improve customer engagement. However, the true potential of AI can only be realized when it is aligned with the needs and values of the community it serves. Community-focused AI training not only empowers businesses but also fosters a sense of belonging and trust among customers. This blog post explores how businesses can enh