In an episode of AI Navigators, Sasho Savkov, the Engineering Manager for the AI/ML team at Lokalise, discusses the current state and future of AI in various fields, including healthcare and software development. With a PhD in clinical information extraction and extensive experience in health tech, Savkov critiques the prevalent belief that single-shot learning will lead to human-level intelligence, arguing that the lack of memory in AI systems is a significant barrier. He highlights the potential of AI-enhanced tools like Cursor, which integrate AI into development environments, although they are not yet accessible to non-technical users. Savkov also notes the slow adoption of AI in healthcare due to regulatory and human-centric challenges, predicting gradual changes rather than rapid transformation. He emphasizes the importance of human oversight in localization tasks, particularly in sensitive areas like healthcare, and foresees a future where AI is ubiquitous, necessitating discussions on safety and ethical adoption.