In this episode of Austin Tech Connect, host Thom Singer sits down with Joe McCall and Nikolas Kairinos, co-founders of Melelem, a groundbreaking AI company redefining how Large Language Models (LLMs) learn and evolve. Melelem continuously refines itself in real-time, eliminating the need for multiple AI subscriptions.
The conversation dives deep into the future of AI, exploring how advancements in machine learning and self-learning AI models are reshaping industries. Nikolas shares his perspective on the rapid acceleration of AI capabilities, the shift from traditional neural networks to transformer-based architectures, and how Melelem’s real-time learning model represents the next step in AI evolution. They discuss the challenges of AI hallucinations, data security, and the need for more personalized, context-aware models that can continuously improve without massive retraining. Joe and Nikolas also touch on the broader implications of AI on businesses, workforce development, and how Austin—long a hub for AI innovation—can position itself at the forefront of the next AI revolution.
Joe shares insights from his decades of experience in Austin’s tech scene, from founding the Austin Software Council to witnessing the city’s rise as a global innovation hub. Nikolas, a lifelong AI expert, discusses the rapid advancements in AI, the limitations of current LLMs, and how Melelem’s meta-learning approach is set to change the game.
If you’re curious about where AI is headed, how it’s impacting industries, and what’s next for Austin’s booming tech community, this is an episode you don’t want to miss!
