Thoughts on AI security, creative systems, memory architectures, and the practice of building AI products that matter.
Each article includes my personal take on the topic, drawing from hands-on experience building Ajax Studio, VoiceGuard AI, and various research projects.
Voice authentication faces a fundamental challenge: attackers evolve faster than static detection systems can adapt. This article explores how principles from memory research, particularly the distinction between rapid learning and gradual knowledge extraction, might inform the next generation of voice security systems.
Voice synthesis technology has reached the point where attacks are viable against organizations of any size. This analysis examines the technical evolution of voice cloning, the challenge of detection, and practical frameworks for organizational defense against synthetic voice fraud.
Current AI systems lack the autobiographical memory that grounds human identity. This analysis examines the gap between semantic retrieval and true episodic recall, exploring how Complementary Learning Systems theory and recent advances in memory-augmented architectures point toward AI systems capable of genuine experiential continuity.
The gap between AI demonstrations and deployed systems that work reliably is where most AI initiatives fail. This analysis examines what distinguishes successful AI products from impressive prototypes, drawing on experience building production systems across creative AI and security domains.
Each article here represents my thinking on topics related to AI security, creative AI, and memory systems. Every post includes an "Andrew's Take" section where I share personal perspective from building real systems.