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BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT

genmon.github.io

#in our time#dewey decimal#podcast archive#gpt-3#bbc podcast

688points
171comments
#24of 3,109 in 2023
Top 1%of 2023 by points

How HN took it

MixedNo clear lean

24 positive, 24 neutral or asking, 2 mixed, 12 critical, out of 62 comments about the project. Thread score +0.22.

Idea: 13 for, 5 againstExecution: 0 for, 6 againstDesign: 1 for, 0 againstDocs: 1 for, 0 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Useful way to browse and discover episodes

    From 3 comments
    • This is a really interesting use-case Applying "transformations" or classifying data in this way without having to setup a lot of detail-work seems like a real…
      valgaze on HN
    • I love this project!! Ever since my partner and I discovered In Our Time a few years back, it’s been our go-to podcast to listen to together. Part of the allure is that the…
      astroalex on HN
    • This is amazing, and exactly the kind of thing I’ve been hoping for to help us find the gems in the endless stream of excellent content. What would it take to go deeper on this…
      joshspankit on HN
  • Impressive use of LLMs for structured data extraction

    From 3 comments
    • Web scraping is usually pretty tedious, but I found that I could send the minimised HTML to GPT-3 and get (almost) perfect JSON back: the prompt includes the Typescript…
      ourmandave on HN
    • No longer does Tony the Pony need to parse XHTML with regex. Who knew GPTs would be the actual solution?
      cheschire on HN
    • This is actually amazing
      devharshit on HN

Objections

  • Some Dewey classifications are wrong or questionable

    From 4 comments
    • I see several very dubious classifications. Shouldn’t the great stink be under civil engineering rather than agriculture, and why is Plato’s Atlantis under computer science?
      aardvark179 on HN
    • I'm not sure this one about sewage is correctly classified. It's in agriculture, presumably because it mentions fertilizing fields. It probably fits better under engineering.…
      SomewhatLikely on HN
    • Tea under Economics and coffee under Technology > Home and family management... some... interesting decisions in here.
      arsome on HN
    • At the same time I asked for a Dewey classification... and it worked. May I ask - how do you know exactly? Specifically - with what level of accuracy? And how is it assessed? At…
      lisasays on HN
  • Episode titles wrong for some subtitled episodes

    From 1 comment
    • Some episodes that have subtitles are titled incorrectly (only using the subtitle). For example, this episode [1] is the first of a pair of episodes called The Written World, but…
      jgtrosh on HN

Requests

  • Semantic search or transcription with Whisper

    From 2 comments
    • I love In Our Time, a real BBC gem. I've been meaning to pull all the audio for a while and this has inspired me. A fun thing to do would be to pass through Whisper, a great…
      specproc on HN
    • Love it - also a huge fan of In our Time. V2 would be: - Transcribe through Whisper - Semantic search
      maccaw on HN
  • Alphabetical topic list

    From 1 comment
    • It is an interesting approach and I appreciate it. However, an alphabetical list would be more useful for me when I am interested in topics and might not know where they are…
      jccalhoun on HN

Questions

  • What prompt was used

    From 2 comments
    • What's the prompt?
      PaulHoule on HN
    • > Web scraping is usually pretty tedious, but I found that I could send the minimised HTML to GPT-3 and get (almost) perfect JSON back: the prompt includes the Typescript…
      nextaccountic on HN
  • How accuracy was measured and how errors are fixed

    From 2 comments
    • At the same time I asked for a Dewey classification... and it worked. May I ask - how do you know exactly? Specifically - with what level of accuracy? And how is it assessed? At…
      lisasays on HN
    • How perfect is almost perfect? How do you correct errors?
      OOPMan on HN

Alternatives named

  • Wikipedia-based manual categorisation by a partner's archive

    From 1 comment
    • I love this project!! Ever since my partner and I discovered In Our Time a few years back, it’s been our go-to podcast to listen to together. Part of the allure is that the…
      astroalex on HN
  • Weekend Collection catalog

    From 1 comment
    • I emailed you but did something similar and posted to Show HN a while back - https://weekend-collection.s3.amazonaws.com/Catalog+-+Feb+17.html
      theodorewiles on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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