#Policy as Code
867 related articles
·3 min
Self-Hosted Notes & Task Management: A Minimalist Open-Source Approach with Memos + Vikunja
Looking for simple self-hosted notes and task management? This article recommends Vikunja and Memos as lightweight open-source alternatives to Nextcloud and Obsidian.
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·3 min
Self-Hosted Notes & Task Management: A Minimalist Open-Source Approach with Memos + Vikunja
Looking for simple self-hosted notes and task management? This guide recommends Vikunja and Memos as lightweight open-source alternatives to bloated tools like Nextcloud and Obsidian.
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·3 min
Analyzing System Prompt Leaks: The Tension Between AI Transparency and Security
Analyzing the alleged Claude Opus 5 system prompt leak: exploring how system prompts work, common extraction techniques, the transparency vs. security dilemma, and practical takeaways for developers.
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·3 min
Gemini Robotics 2 Explained: Full-Body Control, Multi-Robot Coordination, and On-Device Deployment
Google DeepMind releases Gemini Robotics 2, achieving humanoid full-body control, multi-step error recovery, multi-robot coordination, and on-device deployment with built-in safety mechanisms.
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·3 min
Gemini Robotics 2 Explained: Full-Body Control, Multi-Robot Coordination, and On-Device Deployment
Google DeepMind releases Gemini Robotics 2, a robot foundation model enabling humanoid full-body control, multi-step error recovery, multi-robot coordination, and on-device deployment.
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·2 min
Distilling DeepSeek to GPT-OSS: Why Censorship Doesn't Transfer
When distilling DeepSeek to GPT-OSS, censorship mechanisms don't transfer. This article analyzes the separability of capabilities vs. behavioral constraints in knowledge distillation and its implications for AI safety.
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·2 min
Distilling DeepSeek to GPT-OSS: Why Censorship Doesn't Transfer
When distilling DeepSeek to GPT-OSS, model censorship doesn't transfer. This article analyzes the separability of capabilities and behavioral constraints in knowledge distillation and its implications for AI safety.
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·2 min
Noisegate: Adding Differential Privacy Guardrails for Untrusted AI Agents
Noisegate is a differential privacy gateway for untrusted AI agents that injects calibrated noise into data flows, providing mathematically proven privacy guarantees when AI Agents process sensitive data.
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·2 min
Noisegate: Adding Differential Privacy Guardrails for Untrusted AI Agents
Noisegate is a differential-privacy gateway for untrusted AI agents, injecting calibrated noise into data flows to provide mathematically guaranteed privacy protection for sensitive data processed by AI Agents.
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·2 min
Jellybox v2.0: Open-Source Jellyfin Music Client Officially Lands on Google Play
Jellybox v2.0 launches on Google Play as a public beta, offering Jellyfin users a professional native music experience with lyrics, offline playback, multi-library support, and more—completely free and open source.
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·3 min
Mistral Deepens Partnership with Microsoft: How Sovereign AI Is Landing in the European Enterprise Market
Mistral expands its strategic partnership with Microsoft, delivering controllable frontier AI to Europe's regulated industries through open-weight models and Azure Local deployment.
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·3 min
Mistral and Microsoft Deepen Partnership: How Sovereign AI Is Landing in the European Enterprise Market
Mistral and Microsoft expand their strategic partnership, delivering controllable frontier AI to Europe's regulated industries through open-weight models and Azure local deployment.
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·3 min
The Economic Value of Refactoring: The Hidden Cost Ledger Behind Technical Debt
An economics-driven analysis of refactoring ROI: how technical debt's compound interest slows delivery, how to calculate refactoring returns, and why incremental refactoring beats full rewrites.
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·3 min
The Economic Value of Refactoring: The Hidden Cost Behind Technical Debt
An economic analysis of code refactoring ROI: how technical debt's compound interest slows delivery, how to calculate refactoring returns, and why incremental refactoring beats full rewrites.
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·3 min
Gemini Robotics 2 Deep Dive: Three Core Breakthroughs in Google's Universal Robot AI
Deep dive into Google's Gemini Robotics 2 and its three core capabilities: full body intelligence, advanced dexterity, and multi-robot teamwork—achieving universal robot AI with one brain for any robot.
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·3 min
Gemini Robotics 2 Explained: Three Core Breakthroughs in Google's Universal Robot AI
Deep dive into Google's Gemini Robotics 2 and its three core capabilities: full body intelligence, advanced dexterity, and multi-robot teamwork—achieving universal robot AI with one brain for any robot.
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·4 min
More Imitation Learning Data Leading to Worse Results? A Deep Dive into Compounding Errors and Data Quality Traps
Through a real game AI navigation case, this article deeply analyzes why more data can worsen imitation learning, covering compounding errors, distribution shift, data quality issues, and DAgger solutions.
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·4 min
More Imitation Learning Data Makes Things Worse? A Deep Dive into Compounding Errors and Data Quality Traps
Through a real game AI navigation case, we deeply analyze why more data can worsen imitation learning, covering compounding errors, distribution shift, data quality issues, and DAgger solutions.
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·3 min
The Open-Source AI Regulation Debate: Is 'Protecting Children' Becoming a Catch-All Excuse to Suppress Open Source?
Deepfake undress models on Hugging Face spark regulatory debate. This article analyzes how "protecting children" narratives are used to push open-source AI restrictions and explores paths to precision regulation.
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OpenJDK's Interim Policy on Generative…
·2 min
OpenJDK's Interim Policy on Generative AI: The Compliance Boundaries for AI Code Contributions
In-depth analysis of OpenJDK's interim policy on generative AI, examining copyright ownership of AI-generated code, license compatibility, and contributor agreement implications for open-source projects.
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