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Knit - offline peer-to-peer messaging - added to fDroid this week (f-droid.org)
submitted 2 weeks ago by merde@sh.itjust.works to c/privacy@lemmy.dbzer0.com
9 comments fedilink hide all child comments

sounds like it can replace Briar?

An offline, serverless mesh messenger for Android — end-to-end encrypted, no internet, no accounts, no Google Play services.

Your phones talk directly to each other over Wi-Fi Aware and Bluetooth LE, and relay for one another hop by hop.

https://f-droid.org/en/packages/app.getknit.knit/
https://github.com/getknit/knit

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[-] XLE@piefed.social 3 points 2 weeks ago

This app claims it filters offensive text and images before you see them. If you were poking around in the code, did you happen to see any indication that this was actually a thing?

I downloaded the app, and observed there was no way to control any settings, let alone content filtering ones.

[-] artyom@piefed.social 3 points 2 weeks ago

I didn't poke around in the code, nor am I qualified to comprehend it. It's just at this point it's the first thing I look at when I open a github page.

But that is an increasingly common feature in messengers these days. Hopefully it is an optional feature.

[-] mbp@slrpnk.net 2 points 2 weeks ago

Yeah, you can see the AI code output for the gen_profanity_list:

#
***
provenance (keep in sync with third_party/profanity-list/PROVENANCE.md)
***
SOURCE_REPO = "dsojevic/profanity-list"
SOURCE_URL = "https://github.com/dsojevic/profanity-list"
SOURCE_COMMIT = "c27924319aa9bd6f917e3782b4f4b6604a50b652"
RETRIEVED = "2026-07-18"

#
***
curation dials (edit + regenerate to retune)
***
SEVERITY_FLOOR = 2  # drop severity 1 (mild/clinical, e.g. "anus")
EXCLUDE_TAGS = {"lgbtq"}  # identity terms -> handled contextually by the ML identity_attack pass
MIN_LEN = 3  # never ship 1-2 char tokens (whole-token over-block risk)

# Terms with heavy innocent usage that would over-block a public room as whole-token matches
# ("the opposite sex", "nude" the colour, "collared shirt", "white-collar"). Genuinely sexual usage is
# still caught contextually by the ML sexual_explicit pass. Edit + regenerate to adjust.
CURATED_DROP = {"sex", "nude", "nudity", "topless", "collared", "collaring"}

# The original hand-curated starter terms, union'd in so a regeneration never regresses the set the
# project shipped before adopting the corpus. All are already single [a-z]+ tokens.
ALWAYS_INCLUDE = [
    "fuck", "fucker", "motherfucker", "shit", "bullshit", "asshole", "bitch",
    "bastard", "dickhead", "cunt", "slut", "whore", "piss", "prick", "wanker", "twat",
]
[-] XLE@piefed.social 1 points 2 weeks ago

Fair enough, I figured I might as well ask though.

It turns out you cannot send explicit images in Nearby Chat, nor use any swear words or worse. It seems like it's detecting words from a list and images based on some kind of simple nudity model.

There is no way to disable this in Nearby Chat.

In one-to-one messages, you can send explicit messages only if you agree to a warning, and view them only if you click a warning too. You are allowed to use at least some curse words (e.g. "fuck"), but other things are still blocked.

this post was submitted on 08 Aug 2026
24 points (78.6% liked)

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