English is becoming the new assembly language for large language models, meaning that effective communication with AI requires structuring language correctly, even if syntax is less critical than before.

The design of AI interfaces is evolving towards natural language interactions, allowing users to collaborate with AI as if it were a co-worker rather than just a tool.

The future of AI may involve models communicating in a more efficient, nuanced language that humans cannot easily understand.

AI has transformed our business, enabling us to offer conversation practice through large language models, which was previously impossible without human interaction.

AI agents are often defined as systems that perform complex planning and interact with external systems, but this definition overlaps with many current language models.

The development of AI agents involves creating systems that can autonomously handle tasks and communicate issues back to users for resolution.

As AI agents take over tasks like trip planning, they will change business models by reducing reliance on traditional advertising, focusing instead on delivering the best products.

We're entering a new phase of AI where the platform shift will change how we interact with computers, moving towards natural language interfaces.

The future of AI interactions will likely involve seamless communication throughout daily life, with users engaging with AI for various tasks, including personal conversations and assistance in messaging apps.