Show HN: Autolectures – lecture videos from prompts with Remotion (www.holma.io)

A new project called Autolectures has emerged, allowing users to generate lecture-style videos from simple prompts like "what is a leveraged buyout?". Instead of producing pixels directly through video-generation models, Autolectures utilizes a language model (LLM) to write source code for videos composed of React components using the Remotion framework. This innovative approach enables greater customization and ease of editing, as changes can be made by simply adjusting the code rather than re-rendering entire videos, making it a significant advancement in automated video content creation. The project operates through a five-step pipeline: writing scenes, checking layouts, generating narration, timing reveals, and rendering. By tagging and timing elements to appear in sequence with the narration, Autolectures delivers videos that have a more engaging presentation style. Although the early results are described as "decent" but lacking a compelling quality that keeps viewers interested, the project showcases the potential for AI to produce instructional content effectively and hints at future improvements as the technology evolves.