AI Divergence
Minqi discusses the importance of AI divergence for advancing towards more general agents. Marc explores the resurgence of open-endedness in machine learning, driven by the need for novel approaches beyond scaling data and compute.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter
Related Questions
Is reinforcement learning a turning point for large language models (LLMs) and artificial intelligence (AI) as discussed in the episodes The Future of Machine Learning, Deep Learning and Computer Vision with Thomas Dietterich and Automating Scientific Discovery, and in the episode Exploring Open-Ended Algorithms: POET and the clip Evolving Learning Frameworks?
What do you think about the potential for Large Language Models (LLMs) to scale to Artificial General Intelligence (AGI) as discussed in the episode EP 434: Will OpenAI run away in the LLM race in 2025? and the clip Future of AI Models?