Karan Goel

Karan Goel, co-founder of Cartesia and inventor of State Space Models at Stanford AI Lab, joins forces with fellow co-founder Albert Gu to discuss groundbreaking advancements in real-time intelligence. They dive into their product Sonic, a text-to-speech engine boasting unparalleled speed and quality. The duo contrasts State Space Models with traditional transformers, emphasizing the efficiency of their innovations. Listeners will also enjoy insights on the future of intelligent systems, emotional speech tech, and the aesthetics of tackling research challenges.

Karan Goel, leading force at Cartesia AI, discusses groundbreaking advancements in text-to-speech technology and neural network architecture. He shares insights into State Space Models, designed to overcome traditional model limitations. The conversation dives into the evolution of long context processing and the importance of emotional intelligence in AI communications. Karan also highlights the significance of many-shot in-context learning and its applications in education, as well as the development of user-friendly on-device models.

Karan Goel, Co-founder and CEO of Cartesia, dives into the future of voice AI and the groundbreaking use of state space models (SSMs) for audio applications. He details his transition from academia at CMU and Stanford to entrepreneurship, emphasizing the innovative efficiency of SSMs over traditional models. Karan also reveals how Cartesia is developing Sonic, an ultra-low latency text-to-speech model, and elaborates on the importance of rapid execution in voice AI, all while navigating the startup landscape.