Future of AI Systems
Exploring the complexities of anticipating future needs in machine learning and AI, the discussion highlights the inherent risks in developing systems that simplify the composition of these technologies. The emphasis is on the importance of creating robust infrastructure primitives to facilitate easier system building.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Compositional ML and the Future of Software Development with Dillon Erb - #520
Related Questions
Why is it difficult to predict the future of AI as discussed in the episode Eric Schmidt — The Promises and Perils of AI, the Future of Warfare, Profound Revolutions, and More and the clip AI's Unpredictable Nature?
Why is it difficult to predict the future of AI as discussed in the episode Eric Schmidt: Google | Lex Fridman Podcast #8 and the clip AI and its Development?
Eric Schmidt on the potential and risks of AI