Pitch presentations on now at #Hack4SocialGood 2026, 10 teams supporting social workers, public services and charities.

Thanks to Otto Wirz Stiftung for sponsoring this year's prize! 🏆

(Screenshot: results live on #Dribdat with Prof. Maria Sokhn moderating)

More information on #Apertus can be found in the dedicated page on the hackathon platform #Dribdat #OpenSourceLLM https://bd.hack4socialgood.ch/project/143
Apertus

Fully Open Foundation Model for Sovereign AI. Developed by the Swiss AI Initiative as a collaborative effort between EPFL, ETH Zurich, and CSCS. Open weights, open data, open science.

Screenshot of a simple new leaderboard view, one of the updates in the 0.9.3 #dribdat release https://codeberg.org/dribdat/dribdat/releases/tag/v0.9.3

The Backboard in #Dribdat is finally available in a Vue 3 edition. It's taken me a while to get around to upgrade, as it needed a rewrite in several parts.

Source: https://codeberg.org/dribdat/backboard
Demo: https://backboard.vercel.app/?&headline=1&countdown=1&hexagons=1&previews=1&excerpts=1&challenges=1&dark=light&sort=default&src=https://meta.dribdat.cc/api/event/current/datapackage.json

Just (slightly) updated the homepage/docs for #Dribdat at https://dribdat.cc
Driven By Data | dribdat.cc

Please use our discussion forum or raise an issue . If you would like to improve the documentation, share feedback here , or contribute via Pull Request on GitHub. You can also use our Codeberg mirrors to do this.

Of course I also find it quite suboptimal that all the work happens on 🇺🇸 GitHub rather than a sovereign 🗽platform like #Dribdat - for now you can find the challenges at https://github.com/swiss/e-collecting-hackathon (but stay tuned as I have already mirrored them locally and will set up some 🐝hexagons in a bit)
GitHub - swiss/e-collecting-hackathon: Hackathon to develop electronic signature collection solutions for initiatives and referendums in 🇨🇭

Hackathon to develop electronic signature collection solutions for initiatives and referendums in 🇨🇭 - swiss/e-collecting-hackathon

GitHub
When the AI generates documentation for AI features written with AI support, that old Python really starts to byte down hard on its own tail 🐍 #dribdat https://deepwiki.com/dribdat/dribdat/6.3-ai-assisted-content-generation
AI-Assisted Content Generation | dribdat/dribdat | DeepWiki

This page documents the AI/LLM integration system in dribdat, which generates project pitches, suggestions, and evaluations using language models. For information about external data aggregation from

DeepWiki
For an example disclosure see the latest #Dribdat release v0.9.2 https://github.com/dribdat/dribdat/releases/tag/v0.9.2
Release v0.9.2 · dribdat/dribdat

This release introduces several new features and improvements, including support for specifying Terms of Reuse (e.g., CC, FOSS) in projects, enhanced project and resource management with editable c...

GitHub
Disclosing AI support is a big topic in the open source development community right now, and as #Dribdat now also has had a first PR with purely AI-generated code, I've started a discussion over on GitHub about it. Feel free to ping me your thoughts here as well. #generativecode #responsible_disclosure
https://github.com/orgs/dribdat/discussions/29
Disclosing AI support at hackathons · dribdat · Discussion #29

This is a big topic in our community right now, and as Dribdat now also has had a first PR with purely AI-generated code, I'm reaching out for opinion on both how to properly disclose - and support...

GitHub