▲ 913 ▼ Reddit forces login to access old.reddit.com (arstechnica.com) submitted 4 days ago* (last edited 4 days ago) by Redacted@lemmy.world to c/technology@lemmy.world 359 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:
[–] UniversalBasicJustice@quokk.au 22 points 4 days ago (2 children) Reddit archive? Whereabouts would I acquire that? permalink fedilink source parent hideshow 4 child comments replies: [–] db2@lemmy.world 35 points 4 days ago (1 child) Steve is a jealous bitch and has made it harder to find archives of that content which he does not nor has ever owned. He's like Smaug but with brain damage and an incredibly tiny penis. Here's one, you'll have to hunt to find the big ones at this point. https://academictorrents.com/details/85a5bd50e4c365f8df70240ffd4ecc7dec59912b permalink fedilink source parent hideshow 2 child comments replies: [–] floquant@lemmy.dbzer0.com 14 points 3 days ago (1 child) 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. permalink fedilink source parent hideshow 2 child comments replies: [–] trebach@sh.itjust.works 22 points 3 days 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. permalink fedilink source parent [–] lazylemons@lemmy.today 8 points 4 days ago* I too am interested. IA? permalink fedilink source parent
[–] db2@lemmy.world 35 points 4 days ago (1 child) Steve is a jealous bitch and has made it harder to find archives of that content which he does not nor has ever owned. He's like Smaug but with brain damage and an incredibly tiny penis. Here's one, you'll have to hunt to find the big ones at this point. https://academictorrents.com/details/85a5bd50e4c365f8df70240ffd4ecc7dec59912b permalink fedilink source parent hideshow 2 child comments replies: [–] floquant@lemmy.dbzer0.com 14 points 3 days ago (1 child) 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. permalink fedilink source parent hideshow 2 child comments replies: [–] trebach@sh.itjust.works 22 points 3 days 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. permalink fedilink source parent
[–] floquant@lemmy.dbzer0.com 14 points 3 days ago (1 child) 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. permalink fedilink source parent hideshow 2 child comments replies: [–] trebach@sh.itjust.works 22 points 3 days 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. permalink fedilink source parent
[–] trebach@sh.itjust.works 22 points 3 days 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. permalink fedilink source parent
[–] lazylemons@lemmy.today 8 points 4 days ago* I too am interested. IA? permalink fedilink source parent