This newest podcast episode features Felix Tao, CEO of Mindverse AI, and his years of experience working as a researcher at Facebook and Alibaba, mostly involved in language applications and AI. In this interview, Felix gives his insights on the evolution of AI, large language models, and finding the right balance between research and application.
Here's a quick overview of the first few minutes of the interview before you commit to an insightful hour-long episode!
First, Felix reflects on the changing landscape of AI research during his time at Facebook, where he worked on content understanding tools, and how the field has now advanced with foundation models like GPT3 shaping the way for AGI (Artificial General Intelligence).
He answers questions such as: is a research-focused career valuable today? Felix says it depends on the area - foundational work and addressing large language model challenges remain critical, but job seekers might profit from gaining industry experience.
We discuss his time at Alibaba, and he shares his goals of "waking up the consciousness" in machines by combining large language models with human-like frameworks - including memory, perception, and motor control. Exciting times!
Felix highlights the back-and-forth pattern of AI development, moving between fragmented specialized tasks and unified general approaches, and believes the future may witness domain-specific AI for higher quality and better problem-solving abilities.
Check out Felix Tao's thought-provoking journey in AI research and development, and discover how MindverseAI's MindOS is aiming to employ specialized AI for domain-specific tasks, in this captivating interview.
Watch the Video
https://youtu.be/6w7UHzS00lI?embedable=true&transcript=true