Eugene Cheah

Florent Crivello, founder of Lindy.ai, and Eugene Cheah, CEO of RecursalAI, dive into the latest research trends in AI. They explore the impact of OpenAI's Sora and Google's Gemini Pro 1.5, including long inference features and multimodal capabilities. The conversation highlights Lindy.ai's innovative productivity tools and RWKV’s advancements as a transformer alternative. They also tackle the complexities of AI integration and the challenges of data management, all while celebrating their first anniversary in the AI podcasting scene.

Dan Fu, an AI researcher soon to join UCSD, and Eugene Cheah, CEO of Featherless AI, delve into the future of post-transformer architectures. They discuss innovations like RWKV and state-space models, highlighting their collaborative and open-source nature. The duo examines the challenges of multilingual training and computational efficiency, while also exploring advancements in non-transformer models like Mamba and Jamba. Tune in for insights on scaling models, 'infinite context,' and how new architectures are reshaping the AI landscape!

In this discussion, Eugene Cheah, CTO of UIlicious and a key contributor to the RWKV project, dives into the revolutionary RWKV model. He explains how it sidesteps traditional Transformers, achieving superior efficiency and context handling. The conversation highlights the significance of community-driven AI resources and how RWKV addresses memory limitations in processing large datasets. Cheah also explores the balance between open-source licensing and the use of coding models in enterprise settings, showcasing the global shift in AI technology.