We focus on creating video where people deliver dialogue or monologue, which is currently an unsolved problem in AI video generation.

Generative models have evolved significantly, moving from basic attempts at generation to real-time applications that can create impressive outputs, such as artistic style transfer.

AI technology has evolved to enhance the overall story and narration in video production, rather than just focusing on specific scenes or frames.

The recent advancements in AI, particularly in video generation, demonstrate the potential for creating highly realistic content based on text prompts, which could revolutionize media production.

The evolution of AI will lead to more innovative applications, particularly in video content creation and remixable media, enhancing user creativity.

AI-generated video and audio have been consistently funded by Y Combinator since 2016, and the quality of these technologies is improving.

AI-generated video tools, like Argil, allow users to create production-quality videos by typing scripts and adjusting camera angles and body language.

Mobile applications are thriving in the AI space, particularly those that allow users to edit and splice video on the go, as they cater to the convenience of mobile usage.

Architecturally, there's a significant similarity among various AI models, including video diffusion models like Veo and text language models, which share a lot of core elements.