European non-profit open-source hosting organization Codeberg passed two resolutions at its annual membership meeting: a commitment not to use user data to train large models (358 in favor, 144 against), and an amendment to its terms of service to keep vibe-coded projects out the door. This isn't another "reject AI" pose — it's a cost counter-attack that does the math to two decimal places. Codeberg disclosed some hard numbers: an SSD that cost €700 three years ago now runs €3,700 and is frequently out of stock — LLM training and inference directly ate up the DRAM/NAND capacity. AI crawlers drag their servers into slow queries and circuit-breakers, forcing constant defense additions that squeeze the normal user experience; the Frankfurt data center alone is consuming 40% of the local power, pushing up residential electricity and water prices. Sharper still is the resource mismatch of vibe-coded projects: a single vibe coder running CI/CD, piling up binaries, generating issue noise, can consume more than thousands of contributors in real open-source projects, but the community gets zero return. Codeberg is using "protecting the FLOSS commons" to narrow the entry — essentially a self-imposed stop-loss when the cost-trust-contribution curves are simultaneously being pulled downhill by LLMs. The single reminder to the whole AI circle is this: the "cost externalization" on the inference side won't stop at the big cloud vendors' bills — it will, through the hardware supply chain, punch backward through every piece of low-margin digital infrastructure. The open-source movement has been at it for thirty years; it's now being reshuffled by compute price hikes.