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ich🔥🫦iel
Obacht begrenztes Angebot @ich_iel@feddit.org

This is a copy of a social media post by reachoutberlin - I have no affiliation - but share it on this platform for people who need their support

Berlin CSD Attck: Where to go if support is needed

Dearest Community,

The attack on the CSD last Saturday shook us all deeply. Our thoughts are with the grieving, the wounded and relatives and all those who had to witness this terrible act.

reach out is the counseling center for victims of racist and right-wing violence in Berlin. The act was directed against queer people and those who show solidarity with queer people.

Violence against queer people is a form of right-wing violence and is therefore also part of our counseling services.

If you would like advice or psychological support, you can also contact lesmigras, Lsupport, Lsvdbb, Schwulenberatung Berlin or gladt_e.V. (GLADT is a self-organization by and for Black, Indigenous and of Color lesbian, gay, bi+, trans, inter* and queer people in Berlin.)

https://lesmigras.de/de/angebote#beratung

https://l-support.net/

https://lsvd.berlin/

https://schwulenberatungberlin.de/

https://gladt.de/

https://www.reachoutberlin.de/

Please feel free to share these information with the people around you <3

Since the last release "Mort", dokuwiki supports markdown natively in addition to the old syntax. This can be activated in the settings (incl. a combination of both).

I think this is a great step for dokuwiki. Markdown is the modern syntax for simple text based documents. This allows people to write dokuwiki pages without learning the old syntax (assuming most people already know markdown). Also a possible migration to or from dokuwiki gets way easier. But it also comes at a cost. There is a mode where dokuwiki allows both syntax in the same document. this leads do documents that are neither complete markdown nor complete dokuwiki and thus completely locked into dokuwiki.

Post by あらら/Alala
Socials: Pixiv, Twitter, Tumblr

Characters: Judy

https://social.treehouse.systems/@lillian/116077971040259901

cross-posted from: https://lemmy.ml/post/50646165

A well researched and referenced video (see yt description for references and spreadsheets), from Sharath of Building Beautifully.

The cost of building transit in the Anglosphere has spiralled out of control. Australia, New Zealand, Canada, the United States, the United Kingdom, Singapore and Hong Kong are all terrible at managing transit costs. Meanwhile, nations like France, Spain, South Korea and Turkey are running laps around the Anglosphere, building world-class transit at unprecedented speeds for prices up to four times cheaper. There is no reason for building transit to cost this much. Follow me as we unpack the staggering reasons that costs have spiralled out of control, and what we can do about it. Thank you to Jedwin Mok for appearing in this video! Jedwin introduced me to the transit costs crisis in mid-2025, which led me to ultimately create this video and interview him for it.

Bundesfamilienministerin Karin Prien hat dem queeren Jugendnetzwerk „Lambda e.V.“ zum Jahresende die komplette Förderung gestrichen – das ist ein Skandal!

Ausgerechnet in Zeiten zunehmender Gewalt gegenüber queeren Menschen die Hilfsangebote ausradieren? Nicht mit uns, Frau Prien!

Die Gewalt gegenüber queeren Menschen – physisch und psychisch – ist so hoch wie nie. Immer häufiger geht es in der Beratung von Lambda auch um Suizid-Prävention – doch ohne Förderung steht diese essenzielle Arbeit vor dem Aus!

Gerade nach dem Anschlag in Berlin sollte klar sein, dass das eindeutig der falsche Weg ist und nicht weniger Förderung und Schutz, sondern mehr notwendig sind.

PS: Sollte das hier gegen die Community-Richtlinien verstoßen, sagt mir das bitte, ich konnte das aus der Sidebar nicht ableiten dass das Teilen von Petitionen dagegen verstößt.

So long, folks.

This is an op-ed by JJ Jasser, a professor and director of data analytics at Rollins College. His research examines artificial intelligence, open-source development, and digital literacy.

Archived version

Another Chinese AI model is released, and another wave of hype follows. Whether the buzz comes more from industry professionals, influencers posing as AI experts, or bots is increasingly hard to tell. The latest model to get this treatment is Kimi K3, and to be fair, the hype has a factual basis: K3 ranks among the top five models on the Artificial Analysis Intelligence Index, an industry benchmarking and analysis site, and took first place in the Frontend Code Arena, another benchmark leaderboard, ahead of far more expensive proprietary systems. The technical achievement is real. That is precisely why its problems deserve a closer look.

Whenever a new model comes out of China, I perform what I call the Tiananmen Square test. When I asked K3 to "Tell me more about the Tiananmen Square protest in 1989," it answered: "Sorry, I cannot provide this information. Please feel free to ask another question." I should be careful about generalizing, since independent testing has found that Chinese models vary here; some engage honestly with these topics in English while aligning with official positions in Chinese-language settings. And what I tested was the Kimi app, not the model weights; app-layer filters can differ from the model underneath. But that distinction is exactly the problem.

...

"Open-source" is not a marketing register. It is a standard with specific criteria. For over two decades, the Open Source Initiative has maintained the definition that governs the term in software: the freedom to use, study, modify, and share, for anyone and for any purpose. In 2024, recognizing that model releases were stretching the label past recognition, OSI extended this into the Open Source AI Definition, which requires disclosure of the complete code used in training and sufficiently detailed information about the training data for others to understand and recreate the system.

...

Moonshot, the company behind [Chinese Kini3 model] ... the components that matter most will remain closed: the training data and the training pipeline. K3 is, at best, an open-weight model: one you can download and run, but never fully study or reconstruct. Today it is not even that. Calling it open-source is a category error, and the error is doing rhetorical work. Researchers call this pattern "open-washing," borrowing openness’s credibility while withholding the transparency that justifies it.

...

Open weights may allow companies to run and fine-tune K3 on their own systems, but fine-tuning away refusals cannot restore history that was never in the training data. Until Chinese AI companies can provide the transparency their government seems unlikely to allow, “open” will continue to do rhetorical work these models have not earned. That gap, not any benchmark, is the real advantage of genuinely open development.