Will the cost of scaling infrastructure limit AI's potential?
What is the AI survey aiming to understand?
The AI survey aims to understand the current state of AI, how it is being implemented, and what people expect to see in the future. It seeks to gather insights on AI adoption, usage, and potential impacts on various aspects of society.
How does AI innovation's pace challenge resource availability?
The rapid pace of AI innovation challenges resource availability as the resources required to store and compute data in the age of AI could potentially exceed availability. The industry is grappling with applying AI at scale, with concerns about GPU AI accelerator availability and energy consumption. The race is on to scale AI workloads while controlling infrastructure costs and minimizing environmental impact.
What are the concerns with scaling large language models?
The concerns with scaling large language models include the increasing demand for computational resources and energy consumption, potential limitations in model performance due to biases and inaccuracies in training data, and challenges in ensuring model alignment with human values and avoiding misuse or unintended consequences4.