CC Fest · Free & virtual · Zoom
Three Saturday sessions exploring how generative AI systems create text, images, and video — through unplugged activities, real tools, structured experiments, and reflection. An investigation, not a tutorial. No coding or machine learning background required.
| Where you are | Session time | |
|---|---|---|
| Honolulu | 6:00 – 8:00 am | Saturday |
| Los Angeles · Pacific | 9:00 – 11:00 am | Saturday |
| New York · Caracas | 12:00 – 2:00 pm | Saturday |
| Buenos Aires · São Paulo | 1:00 – 3:00 pm | Saturday |
| Canary Islands | 5:00 – 7:00 pm | Saturday |
| Rome · Berlin | 6:00 – 8:00 pm | Saturday |
| Tokyo · Kyoto | 1:00 – 3:00 am | Sunday |
If the live time never works — a timezone that makes 9am PT impossible, weekend commitments, or an observance that rules out Saturdays — the async route below is a full path through the camp, not a consolation. Every session is recorded and every activity runs on frozen examples you can work at your own pace.
New here and not sure where to begin? Start here picks a route for you in three minutes — then come back for the two warm-up steps below.
Read the No-AI pathway and skim the AI Use + Consent Checklist. Every activity has five ways in — using a tool directly is only one of them, and opting out of direct AI use never means opting out of the camp.
Try the Tokenizer + Temperature Visualizer for five minutes. Everything is browser-based — no accounts, no installs — and the session link sheet has every link we'll paste into Zoom chat.
No required pre-reading. If you like to arrive warm, the three short starters in Further Reading are chosen for Session 1 — two are free online.
Every session is recorded for asynchronous access. Recordings are shared with registered participants only unless you explicitly consent to broader sharing. You may turn your camera or microphone off at any time without explanation, and you can choose how (or whether) you're named in public recaps. The full policy is the Consent and Recap Protocol — recordings are never used to train AI models.
Watch the recording, run the worksheet against the prompt pack's frozen examples, and bring one observation to the next session — or to the recap thread.