Building the Web Infrastructure for AI to Thrive

Summary

The rapid growth of AI has led to a surge in new use cases, but accessing the data needed to power these models is a major challenge.
Much of the relevant information is blocked or unstructured, making it difficult for AI to use.
To address this issue, a new layer of web infrastructure is being built to provide easier access to this data.
This infrastructure will help unlock the potential of AI for enterprises and society.
The web, itself, was not designed with AI in mind, and its limitations are now hindering the technology's growth.
A new approach is needed to support the vast amounts of data required by AI models.

Why It Matters

As AI becomes more pervasive, it needs better access to data to learn and improve.
This new infrastructure layer will enable businesses to unlock more value from their data, leading to new opportunities and innovations.
Everyday people will benefit from more accurate and personalized AI-powered services, such as healthcare, finance, and education.
This is a critical step towards realizing the full potential of AI.

GenAI EXPLAINED

When we talk about AI models, we often refer to "foundation models" (these are large pre-trained models that can be fine-tuned for specific tasks). To build applications on top of these models, we need a process called "model training" (this is like teaching the model new skills). However, to train these models, we need vast amounts of data, which can be blocked or unstructured. The new web infrastructure layer being built aims to provide easier access to this data, making it possible to train more accurate and powerful AI models.

BOOK CONTEXT: This concept is related to the idea of using AI-Powered Data Synthesis to improve AI models (Page 0: "One especially exciting use case is using AI models to synthesize data, which can then be used to improve the models themselves."). The new infrastructure layer will provide the necessary data for AI models to learn and improve, which is a critical step towards achieving AI's full potential.