Models will get better at understanding and creating images, audio, and especially video, which will dramatically enhance how we interact with data.

We are not just a video model company; our goal is to achieve multimodal general intelligence, enabling users to create entire worlds.

In the future, foundational models may become highly specialized, such as models specifically designed for chip design or protein folding.

From day one, we built our own foundation models instead of just fine-tuning existing ones, which allowed us to make significant architectural decisions during the pre-training process.

The AI tools we build need to continuously deliver additional value as the baseline for foundation models improves.

The current landscape shows that large model labs are focused on building powerful foundation models that require less fine-tuning, which may lead to a decline in the relevance of fine-tuning in the near future.

The evolution of design models is ongoing, with both image diffusion models and code generation models playing significant roles in the future of design.

We are capable of utilizing the latest open-source models and fine-tuning them to create a better information experience for users.

We're currently experiencing a Cambrian explosion in AI, with advancements in processing text, pixels, videos, and audio, leading to new applications and models.