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In this episode of AI Navigators, we sit down with Sasho Savkov, Engineering Manager for the AI/ML team at Lokalise. With nearly a decade of experience building healthcare solutions, Sasho brings a unique perspective on what's actually working in AI versus what's just noise. He dives deep into concepts like AI amnesia and reveals why humans are so difficult to emulate—a challenge that has major implications for achieving reliable LLM translation. He challenges one of the biggest assumptions in AI for translation today: that current single-shot learning approaches will lead to human-level intelligence. His insights reveal why the missing piece isn't just more sophisticated models, but something much more fundamental to achieving high-quality LLM translation. Give it a watch if you want to: Cut through the hype and understand the real-world challenges of AI in localization. Get a professional perspective on the future of machine translation vs. human translation. Learn why even the most advanced models may not be enough to solve complex linguistic issues. Discover what truly drives measurable business impact with AI. #AIamnesia #HealthTechAI #AITranslation #LLM #Lokalise #MachineTranslation