this post was submitted on 11 Aug 2026
822 points (97.5% liked)

Technology

87123 readers
3896 users here now

This is a most excellent place for technology news and articles.

Our Rules

  1. Follow the lemmy.world rules.
  2. Only tech related news or articles.
  3. Be excellent to each other!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
  9. Check for duplicates before posting, duplicates may be removed
  10. Accounts 7 days and younger will have their posts automatically removed.

Approved Bots

founded 3 years ago
MODERATORS
L3s@lemmy.world
enu@lemmy.world
technopagan@lemmy.world
L4s@lemmy.world
L3s@hackingne.ws
822
Reddit forces login to access old.reddit.com (arstechnica.com)
submitted 1 day ago* (last edited 1 day ago) by Redacted@lemmy.world to c/technology@lemmy.world
323 comments fedilink hide all child comments
 

As of a few minutes ago old.reddit.com now seems to requre logging in to access it.

Shame as it was still the best place to browse for info about some niche interests.

Edit: Seems like they might be testing the change as it is hit or miss at the moment.

Edit: Adding this to My flilters in uBlock Origin seems to fix the issue for the time being:

||reddit.com^$header=referer:

you are viewing a single comment's thread
view the rest of the comments
[โ€“] floquant@lemmy.dbzer0.com 14 points 1 day ago (1 children)

I'd wager that older dumps are higher quality, before the mass redactions and deletions of the various exoduses. If you're looking for up to date information on current topics, it's time to look for (or build) other places.

[โ€“] trebach@sh.itjust.works 20 points 1 day ago

These are Pushshift torrents from 2005 to 2025: https://sciop.net/datasets/reddit. There are two data sets, one by month and the other by subreddit. Each is about 3.5 TB compressed and based on the compression ratio I've seen, about 30 TB uncompressed. This is without any sort of media, just text.

Reddit sent AcademicTorrents a request to take them down so AI models couldn't use them as a way to avoid paying Reddit hundreds of millions of dollars for training data.