1108 Curious AI: Rethinking How Machines Learn the Real World | Sam Bigdeli of KavAI

thinkfuture: technology, philosophy and the future

See More: https://thinkfuture.substack.comConnect With Sam: https://www.linkedin.com/in/sam-bigdeli-5310b923/---Why the next wave of AI won’t just answer questions—it will explore, sense, and predict.In this episode of thinkfuture, host Chris Kalaboukis talks with Sam Bigdeli, co-founder and CEO of KavAI, about his vision for Curious AI—a new approach that moves beyond language models to create AI that actively engages with the physical world.Sam explains why today’s AI systems are like “savants”—brilliant at data recall, but poor at contextual reasoning. Curious AI, on the other hand, is designed to simulate the way humans explore, hypothesize, and learn from limited sensory input.We cover:- Why large language models (LLMs) aren’t enough for real-world intelligence- The importance of embodiment and multimodal sensing for AI systems- How Curious AI actively acquires information instead of waiting to be prompted- Applications in industrial domains like refineries, power plants, and predictive maintenance- The future of AI and robotics—human-like avatars vs. task-optimized systems- Why human creativity and judgment will always remain essentialSam envisions a future where AI isn’t just reactive—it’s proactive, curious, and capable of helping us manage complex, dynamic systems more effectively.If you’re interested in the cutting edge of AI, robotics, and the future of human-machine collaboration, this is an episode you won’t want to miss.