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The BBC offers pretty exhaustive RSS feeds (https://podcasts.files.bbci.co.uk/b006qykl.rss https://podcasts.files.bbci.co.uk/b006qykl.rss) so I'm not exactly su

by dvt 4y ago

The BBC offers pretty exhaustive RSS feeds (https://podcasts.files.bbci.co.uk/b006qykl.rss 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).

genmon 4y ago
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 https://genmon.github.io/braggoscope/about (GPT-3 not ChatGPT for the model.)
- malborodog 4y ago
  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.
sorokod 4y ago
For comparison two links for the (currently) last episode, first from BBC, the second from genmon https://www.bbc.co.uk/programmes/m001jkzg https://www.bbc.co.uk/programmes/m001jkzg https://genmon.github.io/braggoscope/2023/03/02/megaliths.html https://genmon.github.io/braggoscope/2023/03/02/megaliths.ht...