AI models are increasingly showing multimodal capabilities, suggesting they might develop more complex experiences in the future.

AI models have become proficient at processing unstructured data, allowing them to generate helpful responses and take actions in customer support scenarios.

AI models are not programmed; they are trained, allowing them to develop their own strategies for problem-solving.

AI models can perform basic mathematical operations and demonstrate reasoning through their circuits, but they can also fake complex calculations.

Emerging technologies in AI, such as browser use technology, will allow AI agents to operate across diverse systems, enhancing their ability to gather information and perform tasks that previously required human intervention.

We aimed to create a useful model by training it directly on tasks that users perform in their daily lives, with online browsing being a key focus due to its broad applicability.

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.

AI models are valuable because they can interpolate between vague questions and provide tailored responses, even when data is messy.

AI models are valuable because they can interpolate between vague questions and provide tailored responses, even when data is messy.