Stargate is a global project that involves pooling capital, technology, and expertise to deliver the next generation of AI services.

Seeing the construction of the Stargate site highlighted the complexity and scale of the infrastructure needed for AI, which involves thousands of workers and intricate systems.

The infrastructure investment required for AI at a global scale is much larger than for other technologies, necessitating a collaborative effort to build it.

Our plan involves scaling compute by raising $500 billion to build infrastructure in Abilene, Texas, which will support the training of advanced AI models.

While we don't have the entire funding for Stargate available right now, we plan to deploy it over the next few years, barring any major setbacks.

There's a significant gap between the current compute capabilities and what could be achieved with ten to a hundred times more compute, which would allow for much greater AI services.

The biggest challenges for OpenAI include maintaining a strong research culture and ensuring sufficient compute resources to meet the growing demand for AI capabilities.

When building a supercluster for AI training, we needed to find an existing building and rent generators and cooling systems to meet our power requirements, demonstrating the importance of breaking down problems into constituent elements.

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