AIR#131 - July 16, 2024
Good morning, AI aficionados! As you sip your morning coffee, get ready to dive into today's edition of AIR: The AI Recon. Leading the headlines is a fascinating deep dive into non-Euclidean structures in machine learning with a new guide that explores geometric, topological, and algebraic data. This is a must-read for anyone looking to redefine classical methods and push the boundaries of what’s possible in AI. Whether you're a scholar or just curious about the latest advancements, this guide promises to enlighten and inspire.
But that's not all! Doctors are now turning to AI chatbots to combat insurance denials, drastically reducing paperwork and increasing approval rates for patient treatments. This development is revolutionizing the healthcare industry, making it a compelling read for anyone interested in the intersection of AI and medical practice. Meanwhile, the former DARPA chief and current White House tech adviser is sounding the alarm on AI regulation, urging immediate action to address what she calls a "today problem." This is a crucial story for those keen on understanding the regulatory landscape of AI.
And for a touch of the uncanny, Ukrainian startups are innovating on the front lines by building a low-cost robot army to fight Russia. This story showcases the incredible resilience and ingenuity of these startups, leveraging technology to save lives and gain a strategic edge. Whether you're here for groundbreaking tech updates, ethical debates, or the latest industry buzz, today's edition is packed with stories that will both intrigue and challenge you. So, sit back, sip your coffee, and let's delve into the dynamic world of artificial intelligence together!
Business
Doctors Use A.I. Chatbots to Fight Insurance Denials
Doctors use AI chatbots to combat insurance denials, reducing paperwork and increasing approval rates for patient treatments.
Time to Regulate AI is Now, Says Former DARPA Chief and Current White House Tech Adviser
Former DARPA chief and White House tech adviser Arati Prabhakar urges immediate AI regulation, calling it a "today problem."
Ukrainian Startups Build Low-Cost Robot Army to Fight Russia
Ukrainian startups build low-cost robot army to fight Russia, leveraging innovation in secret workshops to save lives and gain an edge.
TruthPix: Secure AI Image Detector for iOS
TruthPix: Detect AI-altered images securely on your iOS device. Stay safe from scams and misinformation with fast, private analysis.
Carnegie Mellon Launches Open Forum for Human-Centered AI
Carnegie Mellon launches OFAI, a human-centered AI initiative, with partners to drive responsible AI policy and innovation.
Deepfake Porn Spurs Tech Solutions and Regulatory Push
Deepfake porn drives new tech solutions and regulatory efforts as AI tools outpace existing protections.
Can we stop talking about replacing employees with AI?
Stop talking about replacing employees with AI. Instead, use AI to enhance productivity and improve employees' lives.
Engineering
[GitHub] Shapeshift: Map JSON Objects with Key-Level Vector Embeddings
Transform JSON objects with Shapeshift, a TypeScript library using vector embeddings for flexible, intelligent key mapping.
txtai 7.3 Released: New RAG Web Apps & Streaming LLM Support
txtai 7.3 is out! Now with new RAG web apps and streaming LLM support for advanced semantic search and language model workflows. 🚀
[GitHub] promptfoo: Test Your Prompts, Agents, and RAGs with LLM Evals
Test and improve your LLM prompts, agents, and RAGs with promptfoo. Compare GPT, Claude, Gemini, and more using simple configs.
PyTorch Lightning: A Comprehensive Hands-On Tutorial
Discover PyTorch Lightning: simplify deep learning with minimal code, multi-GPU support, organized modules, and built-in logging. 🚀
[GitHub] WP-Autoplugin: AI-Generated WordPress Plugins
WP-Autoplugin on GitHub uses AI to generate, fix, and extend WordPress plugins from simple descriptions, offering a free, privacy-focused solution.
eBook: Mastering LLM System Evaluations
Master LLM system evaluations with our 30-page guide! Learn to design, implement, and interpret evaluations for LLMs. Pre-order now for $20!
[GitHub] Andrej Karpathy's Micrograd in Go: Minigrad
Andrej Karpathy's Micrograd now in Go as Minigrad! Explore neural networks with this easy-to-use autograd library. 🚀
TinyML: The Tiny and Bright Future of Machine Learning
TinyML is revolutionizing AI by enabling powerful, efficient ML on small, low-power devices, paving the way for a bright, ubiquitous future.
[GitHub] Instructor-Go: Structured LLM Outputs in Go
Instructor Go simplifies working with structured LLM outputs in Go, offering easy validation, retries, and streaming responses.
[GitHub] Summarize HN Comments with RAG in 34 LOC
Summarize Hacker News comments using RAG in just 34 lines of code with Val Town's new tool. Check it out here: [link]
PeachML – Instant AI Model Marketplace
PeachML: Train, deploy, and earn from AI models instantly. No subscriptions, just pay-per-use. Try it free! 💡
AMD Ryzen AI 300 Series Launched – ServeTheHome
AMD launches Ryzen AI 300 series with Zen 5 cores, RDNA 3.5 GPU, and XDNA 2 NPU, boosting AI capabilities in PCs.
AMD Zen 5: Ryzen 9000 & Ryzen AI 300 Review
AMD unveils Ryzen 9000 & AI 300 with Zen 5, featuring full 512-bit AVX-512 data paths and RDNA 3.5 graphics. Full review soon!
Academic
🔥 [Paper] Beyond Euclid: An Illustrated Guide to Machine Learning with Geometric, Topological, and Algebraic Structures
Explore non-Euclidean structures in ML with a new guide on geometric, topological, and algebraic data, redefining classical methods.
[Paper] Transformer Layers as Painters by Qi Sun et al.
Transformers' lower and final layers differ from middle ones, which show uniformity. Skipping or reordering layers can trade accuracy for speed.
[Paper] Generative AI Can Harm Learning, Study Finds
Study: Generative AI boosts short-term performance but harms long-term learning unless safeguards are in place.
Can AI Be Meaningfully Regulated, or Is Regulation a Deceitful Fudge?
Governments struggle to regulate AI as Big Tech prioritizes profit over safety, raising questions about the effectiveness of such regulations.