As part of my approach to thinking better, I’ve been exploring ways to consume podcasts more effectively. While I enjoy actively listening to many podcasts, there are others where I want to capture the key insights without dedicating the time to the full segment.
Enter LLMs. These models can now transcribe audio content, which can then be processed for analysis.
The most powerful feature I’ve discovered is automated insight generation. When a new podcast episode is detected, the system automatically generates up to five key questions, distilling an hour-long episode into a few paragraphs. This approach transforms lengthy content into digestible units of knowledge that can be easily referenced and remixed later.
While snipd is doing interesting work in this space, this approach offers a fresh perspective on podcast consumption and knowledge management.
Onward with improvement!