Artificial Intelligence

Barnes and Nobles and Borders were considered safe. Toys ‘R Us was untouchable. Large numbers of people believed that brick and mortar would remain. Others argued it wouldn’t. The end result, massive change. Many of those stores shuttered. Some still remain. Today, some argue that Artificial Intelligence isn’t intelligent. It is simply a token generation. It hallucinates. We’ll disregard the notion that LLMs are only one type of AI, for now. This semantic argument misses the point entirely and leaves us unprepared for what’s already happening. ...

Posted on July 28, 2025 Introduction Retail giants like Barnes and Noble, Borders, and Toys ‘R’ Us were once considered untouchable, yet massive disruption transformed their industries. Similarly, many dismiss artificial intelligence as merely token generation rather than genuine intelligence. However, this semantic debate distracts from practical reality: AI already writes code, diagnoses medical conditions, creates marketing campaigns, and processes legal documents. The Five Arguments Against AI Intelligence The Chinese Room Argument: AI processes symbols without true understanding, following rules mechanically without grasping actual meaning. ...

Alexa, Siri, and Jarvis represent the promise of artificial intelligence making life simpler. These digital assistants claim to understand us better than we understand ourselves, with smart devices coordinating to enhance productivity and reduce daily stress. However, history suggests caution. Social media was similarly promoted as fostering global connection and empathy, yet delivered disappointingly different results. The Upside: Convenience and Efficiency AI assistants provide genuine practical benefits. They can analyze calendars, traffic patterns, and flight schedules to notify users precisely when to depart for appointments. Such systems reduce both time investment and anxiety about punctuality. ...

“AI created software is coming faster and faster. And the technology to do it is already here. All that is needed is training data and a focus.” Artificial Intelligence will create, test, and deliver software products with accuracy, efficiency, and security. Specialized AI agents will coordinate development across distinct lifecycle phases at inhuman speeds. How Will It Work? A software creator describes their product to an Application Generator (AG), which uses large language models to analyze requirements and interact with the creator to refine them. The AG works alongside a Domain Modeler to establish specifications using domain-specific language. ...

Note: This content was AI-generated as part of a test. In an era of mounting technological dependence and accelerating cyber threats, security professionals frequently encounter the excuse that vulnerabilities need not be addressed if they appear unreachable or difficult to exploit. This perspective is fundamentally flawed. The Problem with “Not Reachable, Not Exploitable” This reasoning creates a false sense of security and masks deeper vulnerabilities in an organization’s security posture. ...

Introduction In software development and security, reachability and exploitability often influence vulnerability management decisions. However, relying on these factors to delay prioritizing or reporting security findings is fundamentally flawed. Using such justifications amounts to “lying to those who want to be lied to.” The Flawed Test of Reachability and Exploitability Testing methodologies based on immediate reachability or exploitability are inherently flawed. The Log4Shell incident exemplifies how dynamic code execution creates false negatives. Modern software’s complex data flows obscure attack pathways, leading to underestimating vulnerability reach. Dismissing findings based on these tests merely obscures risk rather than eliminating it. ...