We’ve reached the final installment of our series on the privacy implications of advanced automotive technologies. Throughout this journey, we’ve explored how the integration of cameras, microphones, lidar, and radar in vehicles can potentially expose us to surveillance and privacy breaches. As someone with over 35 years in IT and emerging technologies, my goal has…
Tag: Security
The Invisible Eyes: How Lidar and Radar in Vehicles Could Be Used for Surveillance
Welcome back to our in-depth series where we examine the intersection of advanced automotive technologies and privacy. With my 35-year background in IT and emerging technologies, I’ve grown particularly intrigued by the less obvious aspects of technology applications that might pose risks to our privacy and national security. Today, we focus on two such technologies:…
Beyond the Dashboard: The Surveillance Potential of Vehicle Cameras and Microphones
Hello again, tech enthusiasts and privacy advocates! Continuing our exploration into the intricate world of automotive technology, today we dive deeper into the implications of having sophisticated cameras and microphones embedded in our vehicles. As someone with a 35-year background in IT and emerging technologies, I’ve witnessed first-hand how innovations can both empower and endanger…
The Hidden Risks Behind the Wheel: Understanding Privacy Concerns in Modern Vehicles
In my 34 years working with emerging tech, I’ve seen the breathtaking pace at which this technology has evolved and integrated into every aspect of our lives. Today, I want to share my insights on a topic that merges my background with a critical aspect of our everyday lives: the technology in our cars. As…
Are Chinese Automakers Equipping New Vehicles to Spy on US Citizens?
In recent years, the rapid expansion of Chinese automakers into the global electric vehicle (EV) market has raised eyebrows, not just for their competitive pricing and technological advancements, but for the potential these vehicles have to serve as tools for surveillance. This concern gains particular resonance amidst growing tensions between the U.S. and China, with…
Big Tech: The Price of Progress in the Digital Era
In the vast, interconnected expanse of the digital age, the meteoric rise of big tech companies, their unprecedented access to personal data, and the burgeoning reliance on artificial intelligence (AI) to automate, moderate, and expand their platforms have emerged as defining features of our time. While these developments promise innovation and efficiency, they also raise…
AI and Quantum Computing’s Impact on Cryptocurrency Security
Executive Summary This document explores the implications of advancements in Artificial Intelligence (AI), specifically an AI system that integrates a Large Language Model (LLM) trained on mathematics with Q-learning and reinforcement learning techniques, and Quantum Computing on the security of cryptographic systems underpinning cryptocurrencies. It presents a revised outlook on how these technologies could accelerate…
Navigating the Uncharted Waters of (P = NP) in Blockchain Technology
The landscape of technology and business is perpetually at the mercy of groundbreaking discoveries, and few potential breakthroughs loom as large on the horizon as the resolution of the (P = NP) problem. This article explores the profound implications of an advancement in AI mathematical capabilities that could effectively solve (P = NP). For blockchain…
Digital Deception: How AI is Shaping the Future of Identity Fraud
(Cover photo by @josephfcox) The topic of AI-generated fake IDs has been covered by various news outlets and tech websites, highlighting a concerning trend in digital fraud and identity theft. A notable platform involved in this practice is “OnlyFake,” which is reported to utilize artificial intelligence, specifically neural networks, to create highly realistic fake IDs….
The Sleeper Agent Phenomenon in LLMs: Understanding Trigger Phrases
A particularly insidious form of prompt injection involves the concept of “sleeper agent” Large Language Models (LLMs). This concept refers to the potential for certain inputs or “trigger phrases” to be embedded within AI models during their training phase or through carefully crafted prompts post-deployment. These triggers lie dormant until activated by specific inputs at…