From language models to world models, physics foundation models, and agents that can understand, predict, design—and eventually act upon—the physical world.

Enhanced Agentic Security Architecture
A State-of-the-Art Enterprise Architecture for Governing

Models, Agents, Harnesses, Authority, Actions, and Consequences

Robotics, Machine Learning and the Emerging Skilled Workforce for Physical AI

The opening of Greenville Technical College’s new Center for Welding & Automation Excellence (CWAE) on August 20, 2026, attracted attention across the Upstate, including coverage by The Greenville News/Greenville Online and Greenville Journal, along with an official announcement from Greenville Technical College.

Public Safety Information, Constitutional Duty, and the Case for Governed Law-Enforcement Technology

American political thought rests on a proposition sometimes lost in modern debates over policing and surveillance: liberty requires protection not only from government power, but also from private coercion.

For several years, some of the world’s most prominent technology executives predicted that artificial intelligence would eliminate jobs on a scale and at a speed rarely seen in modern economic history. Those forecasts came from people with exceptional knowledge of AI systems. But technical expertise about what a model can do is not the same as economic expertise about how businesses, workers, customers and markets will respond.

For most of the history of computing, a new processor technology has not eliminated the processor that preceded it. Instead, computer architecture has evolved by adding increasingly specialized forms of computation and determining how they can work together.

The July 7 NVIDIA article, “AI Innovators Adopt NVIDIA Vera — Why Max Single-Threaded CPU at Scale Matters,” introduces a useful concept NVIDIA calls “max single-threaded CPU at scale.” The phrase is partly NVIDIA marketing terminology, but it describes a legitimate architectural problem. 

Read the original NVIDIA article⁠

A recent social media post generated considerable excitement by claiming that artificial intelligence has now surpassed human experts on one of the newest and most difficult reasoning benchmarks. The post referred to Prime Agent, an open-source AI agent framework developed by Prime Intellect, and its reported performance on the ARC-AGI-3 benchmark.

The primary announcement can be found on the Prime Intellect website:

Prime Agent Announcement: https://www.primeintellect.ai/blog/prime-agent

A number of people have asked an interesting question: since quantum computing has the potential to solve certain classes of problems much more efficiently than conventional computers, could it dramatically reduce the need for the massive hyperscale data centers being built to support artificial intelligence?

This article is a technical review of the IDC Spotlight report “Mastering the Modern Digital Workspace” , published in 2026 by International Data Corporation (IDC) and sponsored by Nerdio . The report examines how enterprise organizations are transforming IT operations through cloud computing, virtual desktops, automation, and artificial intelligence. Individual authors are not identified in the publicly available version of the report.