The future of computing will involve asynchronous workloads where AI systems perform extensive research before returning results, necessitating robust infrastructure to handle increased loads.

Founders should rethink existing tools with AI, designing them from scratch to offload repetitive tasks from users.

The future of AI may involve new infrastructure and development tools that leverage the unique characteristics of AI models, differentiating them from traditional functions.

The AI stack consists of several layers, including hardware, infrastructure, and application layers, each with unique opportunities and challenges.

If the old scaling laws are beginning to lose their edge, we need to consider what comes next for AI development.

The current AI landscape is reshaping industries, and those looking to enter tech should focus on the most innovative and rapidly evolving sectors.

This new generation of AI will take on entire tasks that previously required teams or companies, prompting users to consider what they will create with computer use.

We need to rethink how we deliver compelling experiences on the web, especially as AI becomes a significant factor in web development.

We need to develop scaling science alongside our compute scaling efforts to ensure effective advancements in AI capabilities.