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AI Memory Systems May Degrade Model Performance
New research suggests that AI memory systems can degrade model performance and encourage sycophantic tendencies.
Atlasphere: Live AI Infrastructure Diagrams
Atlasphere: Dynamic AI Infrastructure Visualization Atlasphere is an innovative tool designed for creating live AI infrastructure diagrams. By leveraging real t…
Supabase Doubles Valuation to $10B in 8 Months, Boosted by AI
Supabase, an example of an open source project becoming a fast-growing company, has greatly benefited from AI tools like Claude, Codex, and other vibe-coding platforms.
NVIDIA Cosmos: Open Platform for Physical AI Development
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
Oortstack: Revolutionizing AI Infrastructure
Oortstack: Revolutionizing AI Infrastructure Oortstack is a pioneering platform designed to streamline and enhance AI infrastructure, offering a robust solution…
Hypergraph: Rust Library for Directed Hypergraphs with 40 Algorithms
Exploring Hypergraph: The Comprehensive Rust Library for Directed Hypergraphs Introduction to Hypergraph Hypergraph is a powerful Rust library specifically desi…
Microsoft's AI Infrastructure Advancements on GitHub
Microsoft's AI Infrastructure Progress on GitHub Microsoft continues to push the boundaries of artificial intelligence (AI) through its ongoing innovations, man…
Cactus Compute AI Infrastructure: Revolutionizing Cloud Computing
Cactus Compute AI Infrastructure: Revolutionizing Cloud Computing Cactus Compute AI Infrastructure is pioneering a new era in cloud computing by seamlessly inte…
GETadb.com: AI Tool Turns Every GET Request into a Database
Transforming GET Requests into Databases with GETadb.com Are you eager to harness the power of every GET request you send and convert it into a structured datab…
Caliber: Open-Source Proxy for Enforcing LLM Agent Rules
Cross-posting here because this problem affects everyone building with AI agents. Prompt-based guardrails fail. The model follows your system prompt in a demo, then ignores rules when context gets big or the agent chains multiple steps. We built Caliber - an open-source proxy that reads your rules from plain markdown and enforces them at the API layer, not in the prompt. Every call. Provider-agnostic. Just hit 700 GitHub stars ⭐ and nearly 100 forks - the reception from devs building with AI has been amazing. Repo: [https://github.com/caliber-ai-org/ai-setup](https://github.com/caliber-ai-org/ai-setup) Would love: \- Feedback on the approach \- Feature requests from people building AI agents \- Anyone who wants to contribute to the project Building this open-source for the community.
AI Forensics: The Missing Link in AI Decision-Making
I work in AI security and compliance. This just bothers me a little bit, putting AI systems in front of decisions that change people’s lives via insurance claims, hiring, credit, defense applications and when someone asks wait, why did the system do that? we basically have nothing that would hold up in a courtroom. The explainability tools we have right now? SHAP, LIME, attention maps but they’re research tools. They’re not evidence. Researchers have shown you can build a model that actively discriminates while producing perfectly clean looking explanations. They have unbounded error, they give you different answers on different runs, and there’s no way for the other side’s lawyer to independently check the work. That’s a problem if you’re trying to meet Daubert standards. And the regulatory side is moving just as fast. EU AI Act has record keeping requirements coming online. The FY26 NDAA has an AI cybersecurity framework provision with implementation due mid 2026. States are doing their own thing. Courts are starting to actually push back on AI evidence under FRE 702. There is a ton of AI observability tooling out there. Great for ops. There’s governance platforms. Great for policy. But when it comes to something that’s actually forensic grade where opposing counsel is actively trying to tear it apart, where a third party can independently verify what happened without just trusting the vendor,I’m not seeing it. What am I missing?
Infisical AI Infrastructure: Revolutionizing GitHub's Security
Securely Manage Secrets with Infisical In today's fast paced development environment, managing sensitive information such as API keys, database credentials, and…