AI scientists Ahmed Awadallah and Ashley Llorens discuss the future of scale in AI, including advancements in large-scale models like GPT-4 and their impact on reasoning and problem-solving. They explore the dynamics between model size and data, the use of large-scale models to improve smaller ones, and the need for better evaluation strategies. They also delve into topics such as spending compute budget on bigger models, the capabilities and limitations of AI models, the concept of post-training in language model training, and advancements in AI and adaptive alignment.
