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Hey everyone, I’m a backend developer with a background in fintech. Lately, I’ve been experimenting with multi-agent systems, and one major issue I kept running into was collision. When you have multiple agents (or even one agent doing complex tasks) accessing the same files, APIs, or context, they tend to "step on each other's toes." They overwrite data, execute out of order, or hallucinate permissions they shouldn't have. It’s a mess. I realized what was missing was a Traffic Light. So I built Network-AI. It’s an open-source protocol that acts as a traffic control system for agent orchestration. How it works: Think of it like an intersection. Before an agent can execute a high-stakes tool (like writing to a database, moving a file, or sending a transaction), it hits a "Red Light." The C...

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The U.S. military used Anthropic's Claude AI model during the operation to capture Venezuela's Nicolás Maduro, two sources with knowledge of the situation told Axios. "Anthropic asked whether their software was used for the raid to capture Maduro, which caused real concerns across the Department of War indicating that they might not approve if it was," the official said. The Pentagon wants the AI giants to allow them to use their models in any scenario so long as they comply with the law. Axios could not confirm the precise role that Claude played in the operation to capture Maduro. The military has used Claude in the past to analyze satellite imagery or intelligence. The sources said Claude was used during the active operation, not just in preparations for it. Anthropic, which has p...

Introducing Open Book Medical AI: Deterministic Knowledge Graph + Compact LLM Most medical AI systems today rely heavily on large, opaque language models. They are powerful, but probabilistic, difficult to audit, and expensive to deploy. We’ve taken a different approach. Our medical AI is a hybrid system combining: • A compact ~3GB language model • A deterministic proprietary medical Knowledge Graph (5K nodes, 25K edges) • A structured RAG-based answer audit layer The Knowledge Graph spans 7 core medical categories: Diseases, Symptoms, Treatment Methods, Risk Factors, Diagnostic Tools, Body Parts, and Cellular Structures and, critically, their relationships. Why this architecture matters 1️⃣ Comparable answer quality with dramatically lower compute and reduced hallucination. ...

AI is not the threat. Humanity repeating the same tragic pattern, provable with a well-established pattern of delayed harm prevention, is. Public debates around advanced artificial intelligence, autonomous systems, computational systems, and robotic entities remain stalled because y’all continue engaging in deliberate avoidance of the controlling legal questions. When it comes to the debates of emergent intelligence, the question should have NEVER been whether machines are “conscious.” Humanity has been debating this for thousands of years and continues to circle back on itself like a snake eating its tail. ‘Is the tree conscious?’ ‘Is the fish, the cat, the dog, the ant-’ ‘Am I conscious?’ Now today, “Is the rock.” “Is the silicone” ENOUGH. Laws have NEVER required consciousness to regula...

62 stars on github https://github.com/dakotalock/holygrailopensource Readme is included. What it does: This is my passion project. It is an end to end development pipeline that can run autonomously. It also has stateful memory, an in app IDE, live internet access, an in app internet browser, a pseudo self improvement loop, and more. This is completely open source and free to use. If you use this, please credit the original project. I’m open sourcing it to try to get attention and hopefully a job in the software development industry. Target audience: Software developers Comparison: It’s like replit if replit has stateful memory, an in app IDE, an in app internet browser, and improved the more you used it. It’s like replit but way better lol Codex can pilot this autonomously for hours at a t...

Everyone talks about AI for chatbots and image generation. But I've been finding the most value in boring practical stuff. Writing landing page copy, structuring email sequences, generating SEO content briefs, building out template collections. Not flashy, but it saves hours every single day. What's the most underrated or overlooked business use case you've found for AI tools? submitted by /u/RingoshiAmbassador [link] [comments]

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