Arvind Narayanan AI Scaling Myths The Core Bottlenecks in AI Today \u0026 The Future of Models E1195
In this video, Professor Arvind Narayanan discusses the myths surrounding AI scaling, the limitations of existing models, and the future trajectory of AI technology. He highlights the significant role of data as a bottleneck in AI development, the scrutiny over the relationship between compute power and model performance, and the trend towards smaller models. He also addresses the implications of AI in organizations and job replacement, the need for AI regulation and policy, and the ethical considerations of AI.