Note: Podcast Vibes

Here’s a research note on my recent explorations into using LLMs to analyze the emotional content of podcasts.

I’m amazed that we have technology that can do this so well.

This project supports my view that one of the most useful features of language models is that they can function as transducers from messy reality to a structured format that can then be dealt with using standard tools that are more efficient, controllable, and well-understood.

It’s also a reminder of just how open the design space is for projects like this, how valuable good tooling for data pipelines is, and the importance of taste.