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The BBC offers pretty exhaustive RSS feeds (https://podcasts.files.bbci.co.uk/b006qykl.rss) so I'm not exactly sure what ChatGPT even did here (Maybe the Dewey classification? Which is of dubious usefulness).


There's more on the About page but in summary: extracts the synopsis, guests (name, affiliation), and reading list (title, author, publisher, year) as structured data. Not massively hard with a bit of web scraping, but tedious and results in brittle code -- this took 20 minutes to write the prompt plus 3 cents per episode.

https://genmon.github.io/braggoscope/about

(GPT-3 not ChatGPT for the model.)


Have you considered making the repo public so other folks (well, certainly me!) could extend and adapt the idea to other use cases? It's just very exciting work and it would be fun to see the code.


For comparison two links for the (currently) last episode, first from BBC, the second from genmon

https://www.bbc.co.uk/programmes/m001jkzg

https://genmon.github.io/braggoscope/2023/03/02/megaliths.ht...




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