The author also discusses the process of creating the channel, from hosting a quantized 13b llm on their laptop, to generating thousands of short book summaries, and finally uploading the videos to YouTube via API. Despite the lack of success, the author acknowledges the potential of generative AI in writing code and looks forward to the day when coding agents can write full-fledged programs from scratch. However, they also express concern about the implications of AI-generated content on the quality of content consumed in the future.
Key takeaways:
- The author created a fully automated YouTube channel that posts new videos every day using free and open-source AI tools, gaining 52 subscribers in six months.
- The process involved using AI tools to generate book summaries, converting these into audio files, creating videos with book cover images and uploading them to YouTube via API.
- Despite the technical success, the author was not satisfied with the quality of the videos, describing them as 'bland' and 'soulless'.
- The author highlights the potential of generative AI in coding and automation but also expresses concern about the impact of AI-generated content on the quality and authenticity of online content.