AIR#135 - July 20, 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 groundbreaking new framework that allows robots to learn tasks by watching online human demonstration videos. This innovation is set to dramatically enhance robots' real-world capabilities, making it a must-read for anyone excited about the future of automation and AI's role in our daily lives.
But that's not all! The AI industry is buzzing with the formation of an "AI Mafia," akin to the infamous PayPal Mafia. Key AI executives are hopping between companies, creating startups, and reshaping the industry landscape. This story offers a fascinating look at the movers and shakers who are driving AI innovation forward. Meanwhile, the energy demands of AI are posing new challenges for green energy goals, with some experts suggesting that nuclear power might be the only viable solution. This is a compelling read for those interested in the intersection of AI, sustainability, and energy policy.
And for a touch of the uncanny, Mistral AI has launched Mathstral, a 7B model designed for advanced math reasoning and scientific discovery. This tool is poised to boost academic research and problem-solving, making it an essential read for scholars and researchers. 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
An AI Mafia is Forming Before Our Eyes: The Definitive Map
AI execs are forming a "mafia" by hopping between companies, creating startups, and reshaping the industry, much like the PayPal Mafia.
AI Challenges Green Energy Future
AI's rising energy demands challenge green energy goals; nuclear power may be the only viable solution to meet future needs.
Censorship Stalls China's AI Ambitions
China's AI progress is hindered by government censorship, slowing its race to outpace the U.S. in generative AI advancements.
Engineering
New Framework Lets Robots Learn from Online Human Demonstration Videos
New framework lets robots learn tasks by watching online human demonstration videos, enhancing their real-world capabilities.
AI Will Transform System Design Beyond Diagrams
AI is revolutionizing system design, moving beyond diagrams to enhance decision-making, optimize resources, and streamline documentation.
Wolfram's LLM Benchmarking Project
Wolfram's LLM Benchmarking Project evaluates LLMs on converting English specs to Wolfram Language code, revealing varied performance.
Build No-Code Generative AI Apps Locally with Ollama, Llama3, and LLMStack
Build privacy-friendly AI apps locally with Ollama, Llama3, and LLMStack. Create custom models and apps like a recipe generator!
[Paper] Q-Sparse: Fully Sparsely-Activated Large Language Models
Q-Sparse enables fully sparsely-activated LLMs, boosting efficiency in inference while maintaining performance. Revolutionizing cost and energy use.
Fine-tuning Llama-3: Achieve 90% of GPT-4's Performance at a Fraction of the Cost
Fine-tuning Llama-3 achieves 90% of GPT-4's performance at a fraction of the cost, offering faster, cheaper, and fully owned AI solutions.
[Paper] Scaling Granite Code Models to 128K Context
Granite code models now support up to 128K tokens, enhancing long-context tasks without losing performance on standard benchmarks.
[GitHub] Handland: Open-source Template for Live AI Multiplayer Games
Create live AI multiplayer games with Handland! Open-source template using WebRTC, Websockets, and Roboflow AI vision models.
Academic
Mathstral: Mistral AI's 7B Model for Math Reasoning and Scientific Discovery
Mistral AI launches Mathstral, a 7B model for advanced math and science reasoning, boosting academic research and problem-solving.
Data for A.I. Training Is Disappearing Fast, Study Shows
AI training data is dwindling as top web sources restrict access, posing challenges for AI companies and researchers.
[Paper] Rapid Protein Evolution via Few-Shot Learning with Protein Language Models
EVOLVEpro uses few-shot learning with protein language models to rapidly enhance protein activity, achieving up to 100-fold improvements.