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The Free Software Foundation Europe (FSFE) permanently deleted its account on X (formerly Twitter) on December 4, 2025, citing the platform's increasing hostility and misalignment with their values[^1]. The FSFE explained that while they initially used Twitter to promote free software values and connect with policymakers and journalists, the platform had become "a centralised arena of hostility, misinformation, and profit-driven control"[^1]. They specifically criticized X's algorithm for prioritizing "hatred, polarisation, and sensationalism"[^1]. While leaving X, the FSFE continues to maintain some presence on other proprietary platforms to reach wider audiences, but strongly encourages supporters to follow them on decentralized alternatives in the Fediverse, specifically their Mastodon and Peertube accounts[^1]. [^1]: [FSFE - Opening the cage: the FSFE flies away from X (Twitter)](https://fsfe.org/news/2025/news-20251204-01.html)
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Are DeepSeek Moments Now the New Normal?
https://archive.ph/PX9NF
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Members of OASIS Open, the global open source and standards organization, have approved the [Open Document Format (ODF) for Office Applications V1.4](https://docs.oasis-open.org/office/OpenDocument/v1.4/os/) as an OASIS Standard, the organization’s highest level of ratification. ODF V1.4 improves developer documentation, adds new features, and maintains full backward compatibility. The release of ODF V1.4 coincides with the 20th anniversary of ODF as an OASIS Standard. Over two decades, ODF has served as a vendor-neutral, royalty-free format for office documents, ensuring that files remain readable, editable, and interoperable across platforms. Governments and international organizations, including NATO, the European Commission, and countries across multiple continents, have adopted ODF for document exchange. “ODF V1.4 is the effort to evolve the ODF format to its newer challenges, adding relevant clarification and additions to the existing ODF V1.3,” said Patrick Durusau, OpenDocument TC co-chair. “We are pushing hard to meet expectations of the Office software industry.” OpenDocument V1.4 contains enhancements in accessibility, professional document formatting, and advanced functionality across text documents, spreadsheets, and presentations. Improvements include better support for assistive technologies, enhanced visual design capabilities, and expanded features for data analysis and technical documentation. These updates strengthen OpenDocument’s role as a comprehensive solution for modern workplace productivity and inclusive document creation. “ODF provides a vendor-neutral foundation for office productivity and collaboration worldwide. With V1.4, the standard continues to evolve, supporting cloud collaboration, richer multimedia, and standardized security,” said Svante Schubert, OpenDocument TC co-chair. “The format will remain reliable across platforms for years to come. Looking ahead, ODF is moving beyond document exchange toward standardized, semantic change-based collaboration — enabling precise, meaningful sharing of interoperable changes across platforms.”
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It’s time to finally build the ticket to my well-deserved freedom from Windows! Join me as I desperately try to make this new Linux PC work, and who knows, it might even end up amazing!
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Artificial intelligence company Anthropic PBC today announced it had made its first acquisition in acquiring developer tools startup Bun for an undisclosed price. Founded in 2019, Bun offers an all-in-one JavaScript/TypeScript toolkit that aims to simplify and accelerate full-stack development. The company’s offering is similar in purpose to Node.js but also includes tools developers usually pull in separately, including a package manager, a bundler, a test runner and script runner, all shipped as a single executable. Bun is built using the Zig programming language and leverages Apple’s JavaScriptCore under the hood to yield much faster startup times and lower memory usage compared with runtimes based on the V8 engine, the engine used by Node.js and others. Bun is often significantly faster in key developer workflows, such as package installation, build/bundling, test execution and runtime, making it appealing to Anthropic.
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![](https://lemmy.ml/pictrs/image/047b9fe0-7948-4bfc-9bc6-eaa1d74eb3bd.png) Gaza Strip, Palestine/London, Ontario, Canada – In an unprecedented breakthrough for medical innovation under siege, Glia, a medical solidarity organization, has developed and deployed the first external fixator (a critical orthopedic device for severe fractures) ever designed and manufactured entirely inside the Gaza Strip. Created using local materials, 3D printing, recycled plastics, and solar power, the device has already saved three patients from possible amputation or permanent disability amid the near-total collapse of Gaza’s healthcare infrastructure and blockade on medical imports. This achievement comes as over 90% of Gaza’s health facilities are damaged or destroyed, and conventional external fixators — costing upwards of $500 and requiring specialized imports — have become unobtainable due to the Israeli blockade. With hospitals overwhelmed, electricity scarce, and supply chains severed, Glia’s fixator represents a lifeline born from necessity.
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DeepSeek has released V3.2, replacing the experimental version. There are two main models are open as always and can be downloaded from Hugging Face: - **V3.2**: General-purpose, balanced performance (GPT‑5 level) - **V3.2‑Speciale**: Specialized for complex reasoning (Gemini‑3.0‑Pro level) V3.2 can now "think" while using tools (like searching the web, running code, or calling APIs). This makes AI assistants more transparent and better at multi‑step tasks. You can choose thinking mode (slower but more thorough) or non‑thinking mode (faster for simple tasks). Key improvements are better reasoning transparency with the model explaining the steps when using tools, and stronger performance on benchmarks.
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That score is seriously impressive because it actually beats the average human performance of 60.2% and completely changes the narrative that you need massive proprietary models to do abstract reasoning. They used a fine-tuned version of Mistral-NeMo-Minitron-8B and brought the inference cost down to an absurdly cheap level compared to OpenAI's o3 model. The methodology is really clever because they started by nuking the standard tokenizer and stripping it down to just 64 tokens to stop the model from accidentally merging digits and confusing itself. They also leaned heavily on test-time training where the model fine-tunes itself on the few example pairs of a specific puzzle for a few seconds before trying to solve the test input. For the actual generation they ditched standard sampling for a depth-first search that prunes low-probability paths early so they do not waste compute on obvious dead ends. The most innovative part of the paper is their Product of Experts selection strategy. Once the model generates a candidate solution they do not just trust it blindly. They take that solution and re-evaluate its probability across different augmentations of the input like rotating the grid or swapping colors. If the solution is actually correct it should look plausible from every perspective so they calculate the geometric mean of those probabilities to filter out hallucinations. It is basically like the model peer reviewing its own work by looking at the problem from different angles to make sure the logic holds up. What's remarkable is that all of this was done with smart engineering rather than raw compute. You can literally run this tonight on your own machine. The code is fully open-source: https://github.com/da-fr/Product-of-Experts-ARC-Paper
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Since 2022, America has had a solid lead in artificial intelligence thanks to advanced models from high-flying companies like OpenAI, Google DeepMind, Anthropic, and xAI. A growing number of experts, however, worry that the US is starting to fall behind when it comes to minting open-weight AI models that can be downloaded, adapted, and run locally.
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Tech-bro preppers: “should we fit our mercs with bomb-collars that will go off if we croak?”
Sorry for clickbaiting the title, but "Boss preppers" just isn't quite the same somehow. Also not sure if Technology is the right community for this, but anyway here it is...
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The IDF is moving to curb sensitive military information leaking onto social media by rolling out a new monitoring system called ‘Morpheus.’ The AI-based tool, developed inside the military, will soon track photos and other content posted by IDF soldiers on civilian social media platforms, according to a report Wednesday. The decision to develop ‘Morpheus’ followed repeated leaks of classified or sensitive material posted by soldiers in recent years, in text, images and videos. ![](https://lemmy.ml/pictrs/image/554f7757-f3cc-4641-828d-6f4c60bb83b9.png)
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