[HN Gopher] Discord Indexes Trillions of Messages
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Discord Indexes Trillions of Messages
Author : todsacerdoti
Score : 23 points
Date : 2025-04-24 19:13 UTC (3 hours ago)
(HTM) web link (discord.com)
(TXT) w3m dump (discord.com)
| lysace wrote:
| LLM training input treasure? Signal-to-noise ratio is going to be
| lowish though.
| DrillShopper wrote:
| If you want to train a groomer then Discord messages are the
| way to do it.
| lithos wrote:
| If we're acting like Redditors: "you can just block Minecraft
| Discords, and remove most of the grooming"
| YetAnotherNick wrote:
| I think discord's data has insane value because it has real
| time reasoning steps much more than any big social media.
| Obviously you might want to filter out low information messages
| like "Hello" but model based filtering for signal is already
| solved more or less.
|
| Discord has lot of very technical channels like the one which
| solved BB(5) after decades of research.
| leo-notte wrote:
| Agreed. discord has a unique structure with threaded
| conversations, context carryover, and back and forth
| reasoning that you don't get from places like twitter or even
| reddit. it's especially useful for training models on
| collaborative problem solving or exploratory dialogue.
| filtering is a challenge but definitely solvable with current
| tools.
| coldblues wrote:
| Indexes trillions of messages and refuses to delete any of them
| and comply with GDPR. Deleting your account DOES NOT delete your
| messages, they remain on the platform for an indefinite period of
| time. The only way to get them to delete your messages is to go
| through this process
| (https://discordomicon.github.io/removal/overview/) and you're
| still likely to go through several support tickets before they
| comply with your request.
| JackSlateur wrote:
| Tldr: they used a single massive elasticsearch cluster. Now, they
| are using multiple elasticsearch cluster, running in k8s. And
| redis has been replaced by pubsub (GCP).
|
| Since sounds like expensives design but ok, I guess
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