Learn,
build,
and
use
AI
responsibly
—
together.
A student-led, vendor-neutral community at 42 Berlin. We explore, build, and question artificial intelligence — through workshops, peer projects, and honest debate about what this technology should become.
One network.
Every node matters.
Our mission — we create a space where students develop practical AI skills through workshops, peer learning, project demos, study sessions, and collaborative building — while understanding how to use AI thoughtfully, ethically, and effectively.
Open to all levels, aligned with 42 Berlin's peer-to-peer model. No teachers. No gatekeepers. Just nodes, connecting.
Six signal paths,
one collective brain.
Workshops
Hands-on AI sessions for beginners and advanced members — bring a laptop, leave with a build.
WeeklyPrompt Engineering
Practical prompting labs and live tool demos — technique over superstition.
Bi-weeklyProjects
Small AI builds in teams or solo — demo nights keep the feedback loop tight.
OngoingResponsible AI
Safety, privacy, and bias — open discussions that keep power paired with judgment.
MonthlyGuest Speakers
Mentors and industry partners drop in — multiple organizations, zero vendor lock-in.
Per semesterResources
Curated best practices for AI in study, coding, and project work — shared openly.
Always onEvents on the timeline.
Prompt Engineering Lab
Live teardown of real prompts — bring your worst, leave with your best.
In 2 days · 14 seats leftBuild Night: RAG Bots
Teams ship a mini retrieval bot in two hours. Beginners paired with peers.
Team eventTalk: AI Safety in Practice
Guest session on evaluation, red-teaming, and responsible deployment.
Guest speakerDemo Night #7
Members show what they built. Five minutes per project, honest feedback.
Open stageThe project constellation.
PeerReview Bot
LLM-assisted first-pass code review for 42 projects — flags smells, suggests tests, links docs.
Campus Compass
Chat interface over 42 Berlin's curriculum PDFs — ask "what do I need for ft_transcendence?"
Bias Lens
Workshop-born toolkit that probes model outputs for demographic bias across prompt variants.
Study Synth
Turns peer-eval notes into spaced-repetition decks — spaced learning meets the 42 method.
Voice2Shell
Speech-to-command-line experiment for accessibility — whisper in, safe shell commands out.
AI Literacy Zine
Community-written explainers on how models actually work — no math degree required.
AI is becoming a core skill — for coding, for building, for thinking.
But skill without judgment is just faster mistakes.
So we learn the tools and their limits. The power and the responsibility.
Peer to peer. Node to node. That's the network.
Slower signal.
Clearer thinking.
The field quiets down here — deliberately. Ethics isn't a checkbox on this network; it's a standing discussion with its own rhythm.
Privacy first
We respect 42 Berlin's community standards and privacy expectations — no scraping, no shady data, ever.
Limits out loud
Every workshop names what models can't do. Hallucination, bias, and failure modes are part of the syllabus.
No spam, no shilling
The club is never a marketing channel. Vendor-neutral means every tool earns its place on merit.
Connect your node.
◉ Node connected
Application received. The network will review your signal — check your inbox within ~48 hours.