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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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