#open-source

#open-source

OnlyOffice stated that those accessing its code under the GNU Affero General Public License v3 are required to retain its branding and provide proper attribution to the original technology. Euro-Office's failure to meet these conditions constitutes an infringement of the copyright holder's exclusive rights.

DeepDelver recognized that Pathways looked a lot like Sim.ai's open-source agent-building product called SimStudio and asked Delve if it was based on SimStudio. The Delve folks said they built it themselves, the whistleblower contends.

The WAV file is a valid audio file. It passes MIME-type checks. But the audio frame data contains a base64-encoded payload. Decode the frames, take the first 8 bytes as the XOR key, XOR the rest, and you have your executable or Python script.

Cohere's Transcribe model is designed for tasks like note-taking and speech analysis, supporting 14 languages and optimized for consumer-grade GPUs, making it accessible for self-hosting.

The Scala Days 2026 conference will take place 12 - 13 October in Berlin, Germany, known for its strong culture of collaboration and its growing role in advancing digital sovereignty through open technologies.

The Google Open Source Software Vulnerability Reward Program team is increasingly concerned about the low quality of some AI-generated bug submissions, with many including hallucinations about how a vulnerability can be triggered or reporting bugs with little security impact.

3,847 brand icons with multi-variant support (color, mono, light, dark, wordmark). Tree-shakeable npm package - import one icon, ship only that icon. TypeScript types for every icon module. Instant search with fuzzy matching and keyboard shortcut (Cmd+K / Ctrl+K). Filter by category - AI, Software, Framework, Language, Design, and more.

The distributed nature of the network is the greatest strength of Mastodon, but it also means that having a share button that takes you to the 'correct' Mastodon server for your account is a lot more involved than a simple hyperlink.

AI coding tools have caused as many problems as they have solved, according to industry experts. The easy-to-use and accessible nature of AI coding tools has enabled a flood of bad code that threatens to overwhelm projects. Building new features is easier than ever, but maintaining them is just as hard and threatens to further fragment software ecosystems. The result is a more complicated story than simple software abundance.

Qwen3.5 is available via Hugging Face and is released under an open-source license. With this, Alibaba is explicitly targeting developers and research institutions that want to work with the model themselves. The system can process very long prompts, up to 260,000 tokens, and can be scaled further with additional optimizations. This makes it suitable for complex applications such as extensive document analysis and code generation.

Entire's tech has three components. One is a git-compatible database to unify the AI-produced code. Git is a distributed version control system popular with enterprises and used by open source sites like GitHub and GitLab. Another component is what it calls "a universal semantic reasoning layer" intended to allow multiple AI agents to work together. The final piece is an AI-native user interface designed with agent-to-human collaboration in mind.

Baron traces the origin story back to his time building high-scale systems at Instana (which exited to IBM in 2020), where the reality of "always-on" platforms made one thing obvious: the tooling we rely on is often too low-level, too rigid, and too disconnected from real-world use cases. That gap has only widened as environments have exploded in complexity-more cloud providers, more managed services, more hybrid setups, more internal APIs, and "gillions" of tools stitched together into brittle workflows.

Alibaba has launched RynnBrain, an open source AI model that helps robots and smart devices perform complex tasks in the real world. The model combines spatial understanding with time awareness. Alibaba's DAMO Academy introduced the foundation model that enables interaction with the environment. RynnBrain can map objects, predict trajectories, and navigate in complex environments such as kitchens or factory halls. The system is trained on Alibaba's Qwen3-VL vision language model.

That mismatch worked, if uncomfortably, when contributing had friction. After all, you had to care enough to reproduce a bug, understand the codebase, and risk looking dumb. But AI agents are obliterating that friction (and have no problem with looking dumb). Even Mitchell Hashimoto, the founder of HashiCorp, is now considering closing external PRs to his open source projects, not because he's losing faith in open source, but because he's drowning in "slop PRs" generated by large language models and their AI agent henchmen.

Moca has open-sourced Agent Definition Language (ADL), a vendor-neutral specification intended to standardize how AI agents are defined, reviewed, and governed across frameworks and platforms. The project is released under the Apache 2.0 license and is positioned as a missing "definition layer" for AI agents, comparable to the role OpenAPI plays for APIs. ADL provides a declarative format for defining AI agents, including their identity, role, language model setup, tools, permissions, RAG data access, dependencies, and governance metadata like ownership and version history.

If you've worked in a technical role in news for long enough, you likely remember when the "show your work" spirit was everywhere. Newsroom nerds shared code on GitHub, swapped tips on social media and unfurled long blogs guiding others on how to get things done. You might also have a vague sense that - like reaction GIFs, demotivational posters, and that guy who sang "Chocolate Rain" - you're seeing less of it these days.