I believe we will see the full maturation and commoditization of language model capabilities by 2025.

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 current low-hanging fruit in AI is using large language models to perform knowledge work and integrating them into familiar user interfaces without changing user behavior.

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 structured data agent translates natural language into SQL queries or API calls, while the unstructured data agent processes various documentations and media to derive insights.

The emergence of large language models has allowed us to create a conversational partner that we couldn't build before, enhancing the user experience.

We're introducing AI-driven transformations in OneLake, enabling users to apply prebuilt AI-powered transformations like audio-to-text and sentiment analysis with minimal effort.

The journey to discovering the potential of language models was not straightforward; we initially explored various other technologies.

Many of us will write differently in the future, not just relying on large language models to generate content for us, but using them as tools to discover new ideas.