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.
Stanford and Arc Institute scientists successfully use AI to design 16 functional viruses from scratch that infected bacteria and outcompeted natural viruses, marking the first time artificial intelligence has created entire living genomes rather than editing existing DNA, potentially revolutionizing treatments for antibiotic-resistant infections while raising safety concerns.
Meta hires former OpenAI strategic explorations leader Yang Song as research principal following Zuckerberg's aggressive summer recruitment of 11 top AI researchers from rival companies, even as several scientists simultaneously exit Meta's Superintelligence Labs for competitors.
Stanford researchers coin 'workslop' to describe low-quality AI-generated content that 40% of workers now receive monthly, creating productivity drains as managers redo subpar projects and employees lose respect for colleagues submitting AI-generated work.
Researchers unveil groundbreaking vision for self-evolving AI systems that autonomously redesign themselves without human intervention, marking a potential paradigm shift where machines monitor their own behavior, generate policies, and optimize performance independently, though significant challenges remain in developing the necessary abstractions and determining AI's capacity for large-scale autonomous system design.
New research exposes critical flaws in AI judge systems, revealing systematic biases that favor longer responses and specific positions, plus vulnerability to manipulation tactics that artificially inflate scores, raising serious concerns about their reliability in automated assessment tasks.
Scientists achieve breakthrough by successfully transmitting quantum data over standard fiber-optic internet cables for the first time, using a revolutionary Q-Chip that allows routers to navigate quantum signals without destroying them, proving quantum communications can operate on existing networks rather than requiring dedicated infrastructure.
MIT researchers develop PDDL-INSTRUCT framework that boosts AI planning accuracy to 94% on complex tasks, delivering up to 66% improvement over existing models by combining logical reasoning with step-by-step plan validation.