Future of AI
Tim and Ryan discuss the potential for advancements in AI through innovative computation methods and the impact of model size on intelligence. They debate the effectiveness of smaller models compared to larger ones, shedding light on the evolving landscape of AI research.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Ryan Greenblatt - Solving ARC with GPT4o
Related Questions
What do you think about the potential for Large Language Models (LLMs) to scale to Artificial General Intelligence (AGI) as discussed in the episode Ryan Greenblatt - Solving ARC with GPT4o, the clip Arc Challenge Reflections?
What do you think about the potential for Large Language Models (LLMs) to scale to Artificial General Intelligence (AGI) as discussed in the episode Francois Chollet - ARC reflections - NeurIPS 2024 and the clip LLMs and Agent Systems?
What do you think about the potential for Large Language Models (LLMs) to scale to Artificial General Intelligence (AGI) as discussed in the episode Francois Chollet - ARC reflections - NeurIPS 2024 and the clip Future of Programming?