Scientists analyzing 8,590 predictions now expect artificial general intelligence to arrive by 2040, dramatically accelerating from previous 2060 estimates, while Anthropic's CEO suggests the singularity could occur within just three months.
Meta releases Code World Model, a groundbreaking 32-billion-parameter AI that learns how code actually executes rather than just syntax, achieving a 65.8% pass rate on coding benchmarks by developing internal world models that enable self-verification and step-by-step simulation.
Major AI systems from Google DeepMind, Microsoft, and Meta generate millions of promising new materials, but scientists discover 80-84% contain fatal flaws that make them impossible to synthesize in reality.
Meta's V-JEPA AI learns physics from videos like a human baby, achieving 98% accuracy on reality tests by discovering object permanence and showing measurable surprise at impossible events, though its memory currently lasts only seconds.
Hugging Face co-founder Thomas Wolf claims current AI models are too agreeable and consensus-driven to achieve Nobel Prize-level scientific breakthroughs, arguing that while AI excels as research assistants, transformative discoveries require the contrarian thinking that AI systems fundamentally lack.
Microsoft researchers discover AI can redesign deadly toxins to bypass DNA screening software and create undetectable biological weapons, prompting emergency patches to security systems as experts warn of an escalating arms race between AI-enabled bioterrorism and defense capabilities.
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.