The Entire New Yorker Archive Is Now Digitized
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The New Yorker's fully digitized archive is sparking nostalgia and highlighting the quirks of legacy media formats. Some commenters are reminiscing about past DVD releases, while others are grappling with the challenge of accessing content stored on outdated formats like DjVu and encrypted files that won't run on modern systems. A glimmer of hope emerges as some tech-savvy individuals share solutions, such as using Wine to run old Windows apps or pointing to GitHub projects that have cracked the encryption on the New Yorker DVDs. As it turns out, the digitization of archives is not just about making content available, but also about preserving and making accessible the often-obscure formats of yesteryear.
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https://old.reddit.com/r/thenewyorker/s/j0SVHItawZ
Breaking the DJVU DRM would be the perfect solution though
Here's a link to the guy that broke it:
https://github.com/reconSuave/PlayboyPDF/
A lot of the gen 1 or so CD content isn't easily accessible although a more industrious person could probably get to it in some manner.
Need to try on latest windows 11 I gave up earlier. For a while had a windows 2000 virtual machine that worked.
This latest digitization project does the latter, transcribing the text into their existing content management system and as far as I can tell, preserving much of the formatting. This comes with full text search, allows cross linking between articles, and all that good stuff.
I suspect that since they include an LLM summary and started this digitization project in early 2024, this was enabled by LLMs.
https://www.reddit.com/r/longform/s/zRJgAEdagi
https://www.newyorker.com/magazine/2003/10/06/the-end-matter
https://old.reddit.com/r/longform/comments/1e8m5s1/the_250_b...
(old.reddit.com takes you to the old UI)
There are performances of some kind in pretty much every corner of NYC but it’s interesting to see which neighborhoods have had events deemed relevant to The New Yorker readership in different eras.
We have a very strong archive going back a century until about 2015, but now wading through linkrot circa 2017 is miserable
imagine seeing listings for John Coltrane or Miles Davis or Benny Goodman...
let me know if I can help - it's a beautiful & great project idea!
Plus the (really high-quality) crossword puzzles often have an Easter egg where the big revealer is linked to an essay from the past.
But yeah, without a subscription, this still mostly just leads to walled off pages.
Accessing the actual archived version of every issue at https://archives.newyorker.com/ is truly wonderful as they are fully digitized back to back.
Many libraries also subscribe to Libby/Overdrive which does include the full images of all the pages, but Libby only provides coverage for the past year. Unfortunately publishers of newspapers and magazines often offer great archival content of this sort on their websites, but don't allow libraries to license it for their patrons.
My favorite product that I got to build there was “Cartoons at Random”. You’ll never guess what it did/was!
I miss it terribly, just swiping images off a stack to reveal a new random cartoon underneath.
The developer (Justin) did an amazing interaction on iOS app (seamless, no Hank) and web version decent too.
Such delight. Sigh.
Hopefully the content fits in a few buckets (cartoons, fiction, non-fiction) as far as different terms for rights might go. And then from there, you can lop off anything that's past its copyright term (?). Then maybe the next step is grouping works by the agent/publisher, if any? Or maybe all the contracts with the New Yorker are signed by individuals, with the New Yorker as a publisher. I don't know.
I’d highly encourage anyone who loves great writing to subscribe.
https://apple.news/I8nGwNFiZSGKO9nZxZQ8jMQ
My biggest reading pleasure used to be the LRB but it was infected with the politics virus years ago. It used to be a place to read experts quibble about the most obscure topics in wonderful language and now it feels mostly like virtue signalling. I don't know where the best writing is these days but it sure as shit doesn't feel like it's in major print.
I am now wonder if these Archive can be sold as Data for Machine learning.