Not using WindowsOS/MacOS is a very big step for them and FOSS

so please don’t care that much about distros :) and see the bright side: They are not using WindowsOS/MacOS

this is great

I still can’t forget Google Search Reddit fiasco 😂

thanks for timestamp, at this point Lemmy is much better than Reddit see by yourself same meme: https://old.reddit.com/r/linuxmemes/comments/1r2ew81/vibe_check/

why they do this? aren’t there lawyers or data experts in US?

I didn’t get that can you clarify

collecting all that data to feed into their latest shitty chatbotm

Tor is used by many countries, both users and governments. The reason for Tor is that it’s not searchable: you need an exact, password-like URL to reach, for example, login pages. This ensures there is no chance another country can spy on or access those communications.

if FBI owns every endpoint why is still there CSAM? why they don’t remove all of them?

"Anna’s Archive is a non-profit project with two goals:

1. Preservation: Backing up all knowledge and culture of humanity.

2. Access: Making this knowledge and culture available to anyone in the world."

Thanks everyone who contributed this great project.

I don’t think so there is a mutual relationship with AI companies and the copyright’s future is not bright

GPL makes sure that the project will not start enshittification and will remain Free Software

But database version’s performance is great

Benchmark graph: 4k movies Exported sqlite file

Result compared to feat/db:

app start time from 20s to 1 ~ 2s
feat/db: loads 784571 datoms in 20077 ms
this PR: restore-graph! loads 2880 datoms in 945 ms
open "All pages" from 4s to 400ms
open "#movies" from 5s to 400ms
cmdk search && node reference are much faster, 3~4s to less than 100ms
table view scrolling now maintains a minimum frame rate of >40 fps. Previously (in feat/db), such large table views were nearly unusable, with frequent frame drops to 1 fps during scrolling.
add/remove object from "#movies" are much faster

https://github.com/logseq/logseq/pull/11774

I’ll start using Logseq.