Scientists develop revolutionary molecular qubits using erbium that seamlessly connect light and magnetism at quantum frequencies, potentially enabling ultra-secure quantum internet through existing fiber-optic networks while serving as biological quantum sensors.
Former OpenAI CTO Mira Murati raises $2 billion in seed funding for Thinking Machines Lab, launching Tinker, a revolutionary tool that democratizes custom AI model creation by automating fine-tuning of advanced models like Meta's Llama for researchers, businesses, and hobbyists without requiring extensive technical expertise.
New research reveals that switching from CSV to Markdown-KV format dramatically improves AI language model accuracy by 37%, achieving 60.7% success rate compared to CSV's 44.3% when processing employee data, though the superior format requires nearly three times more computational tokens.
Stanford researchers use AI to successfully create 16 functional viruses capable of killing bacteria, prompting urgent biosecurity warnings that the technology could enable rapid bioweapon development by bad actors faster than current defense systems can respond.
Nvidia open-sources professional AI voice animation technology for 3D avatars, scientists successfully create functional viral genomes using artificial intelligence raising biosecurity fears, and OpenAI launches ChatGPT Pulse as a proactive personal assistant that automatically delivers customized updates to users.
AI coding tools promise 10X productivity gains but trap developers in endless cycles of fixing and debugging machine-generated code, forcing engineers to adopt new management practices treating AI like inexperienced junior developers who write fast but lack business context understanding.
Mathematicians breathe new life into ancient enumerative geometry by using motivic homotopy theory to solve decades-old counting problems across multiple number systems, transforming a once-stagnant field into an exciting frontier that attracts young researchers.
AI companies burn through hundreds of billions in investor funds with no profitability path, needing to generate $800 billion to $2 trillion by 2030 while currently making only $45 billion annually, creating a massive bubble that threatens economic catastrophe affecting hundreds of millions when it inevitably bursts.
RNA structure prediction remains far behind protein prediction as AlphaFold3 struggles with RNA's extreme flexibility, with only 7,759 RNA structures mapped versus 216,212 proteins, though most RNA therapeutics like mRNA vaccines rely on secondary structure which scientists can now predict with high accuracy.
Scientists develop groundbreaking 'manifold Muon' algorithm that prevents neural networks from breaking down during training by constraining weight matrices to maintain unit condition numbers, achieving higher accuracy than existing methods in early tests.