The Free Software Foundation announced this week that "its global call for free software supporters to organize LibreLocals this May resulted in free software supporters organizing forty-six LibreLocal events on six continents thus far." (And new dates and locations are being added daily.) The FSF invited free software supporters to organize in-person community meetups in their area during May 2026, or LibreLocal month, to bring people together to swap ideas, learn from each other, and celebrate free software. People were encouraged to organize events grounded in freedom to help spread the free software philosophy.... "The success of these LibreLocals speaks to how many people globally are interested in free software and ready to build community, and it demonstrates the strength of our movement" [said FSF executive director Zoë Kooyman]. "People getting together like this also proves how computer freedom and digital rights are on people's minds. When we reject freedom-restricting software and promote software that respects user rights, it helps further so many other basic rights...." The FSF has financially supported some of the events, but notes organizers are going above and beyond to create noteworthy events by any measure, and is impressed with the global network taking shape. "The energy we feel from all organizers is extremely motivating and we look forward to seeing LibreLocal events spread even wider over the next years! We want to support these initiatives even more, so we'll be looking to build a network of sponsors for future iterations as we work towards May 2027," says Heshan de Silva-Weeramuni, FSF program manager... William Goodspeed, the organizer behind the Beijing LibreLocal, reported that their meetup was double the size of last year's, and a number of very rich collaborative projects have emerged among the attendees. Discussing the value of connecting people, de Silva-Weeramuni notes: "Free software supporters know that connecting with each other leads them to learn, experiment, and create great things that protect our individual and shared rights. The extraordinary contributions that free software has made to the world were born through such collaborations between like-minded people towards a freer society. This same global spirit of collectively building a better future is one of the inspiring things that we have once again seen unfold through this year's many LibreLocals."

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The Free Software Foundation's Licensing and Compliance Manager published a blog post this week to explicitly state that"Responsible AI" Licenses (RAIL) are nonfree and unethical. The licenses restrict AI and ML software "from being used in a specific list of harmful applications," according to the license's web site, "e.g. in surveillance and crime prediction." (The license's steering committee is volunteers from multiple academic institutions.) But even though Responsible AI licenses are marketed as addressing ethical challenges, the FSF argues "they do not require anything that is really necessary for users to control their computing done with machine learning, including: complete training inputs, training configuration settings, trained model, or — last, but not least — the source code of software used for training, testing, and running tools based on machine learning." Thus, RAILed machine learning can be, and most probably will be, unethical. Use restrictions do not prevent these licenses from being used to exercise power over users... RAIL contribute to unethical marketing of machine learning, again under the disguise of morally-loaded restrictions they purport to enforce. If we want software to help decrease social injustice, we should oppose licenses that restrict how software can be used. We should focus on effective ways of addressing injustices: government and community support for freedom-respecting tools and services; releasing programs under strong copyleft licenses; and entrusting copyrights to organizations that have the resources to enforce copyleft. Software freedom must be defended, not denied. More specifically, the more free software is out there, the more likely people will collaborate on tools and services that do not pose moral dangers and help solve existing ones. Free software also makes it more likely that users have real choices when looking for freedom-respecting ethical programs and tools based on machine learning. Denying people the freedom to a particular program, as RAIL or similar licenses would have it, prevents them from using such program for the common good.

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