Accessibility of information is something that is very important to us here at the Modern Technology Podcast Network. We realize that although our work is primarily audio-based, there will always be those for whom that is not the most useful data medium. To best serve everyone we can, we happily present human-made and human-readable text versions of our work.
Our transcripts of our unscripted material aren’t simply AI-generated texts, because we don’t consider such things a finished product! While we might generate an AI-generated scratch copy as a starting point to save a little time, we then spend lots of real human hours tweaking the AI’s work correcting accuracy, grammar, spelling, attribution, and other errors often made by AI as well as ensuring general readability before considering the transcript worth posting.
When transcribing our pre-scripted material we use our production script as a starting point and then edit it to match whatever improvisations, changes, and edits were made in production and postproduction to create a faithful readable copy of the listenable content.
Here’s what we have transcribed so far:
Modern Technology Watches episodes:
- Episode 212 – “Cheaters” (2000)
- Episode 213 – “Hackers” (1995)
- Episode 301 – “Keeping the Faith” (2001)
- Episode 302 – “Sneakers” (1992)
- Episode 303 – “Citizen Ruth” (1996)
- Episode 304 – “Bernie” (2011)
- Episode 306 – “A Chorus Line” (1985)
Modern Technology Breaks episodes:
Modern Technology Knows Your Name episodes:
Links to individual episode transcripts will continue to be added to this page as they become available, and will also be added to the relevant episode and podcast pages on this site. Future episodes will be given priority for transcription as they are released, but we are slowly going to be filling in the gaps in our back catalogue as well; it’s our goal to eventually present all our work in readable as well as listenable formats.
Those of you who are interested are invited to contact us with your feedback on this effort. You can also let us know which of our past episodes you’d most like to see transcribed so we can try to queue things up accordingly.
As with all our original content, our transcripts will always be freely-licensed, copyable, and reusable under Creative Commons.