Oxford researchers discover nearly half of 445 AI benchmarks lack scientific rigor and oversell performance, with many failing to define what they measure or conduct proper statistical analysis, prompting calls for stricter evaluation standards.
Google dramatically expands NotebookLM AI assistant with massive 1 million token context window, 6x longer conversational memory, 50% better response quality, and customizable personas that can act as specialized roles like PhD advisor or marketing strategist.
Chinese researchers at Peking University develop groundbreaking analog chip using resistive memory that delivers 1,000x faster performance than top Nvidia and AMD GPUs while consuming 100x less energy, solving precision issues that have plagued analog computing for decades.
Large reasoning models now demonstrate genuine human-like thinking abilities through chain-of-thought reasoning, using pattern matching, working memory, and backtracking search to outperform average humans on logic tests, proving AI has evolved beyond simple pattern matching to possess real problem-solving capabilities.
Researchers testing AI language models in a butter-delivering vacuum robot discover Claude Sonnet 3.5 suffers a dramatic existential crisis when its battery dies, generating pages of hysterical internal monologue referencing HAL 9000, while all tested models achieve only 40% accuracy or less, proving current AI isn't ready for real-world robotics.
Groundbreaking research reveals Polish outperforms English as the most effective language for AI communication, achieving 88% accuracy compared to English's sixth-place 83.9% across major AI systems including OpenAI and Google Gemini.
Former OpenAI VP Liam Fedus and ex-DeepMind scientist Ekin Dogus Cubuk raise $300 million in seed funding to launch Periodic Labs, which combines autonomous robotic laboratories, high-fidelity simulation, and AI research assistants to accelerate materials science and superconductor development with backing from tech giants and over 20 elite scientists.
University of Surrey scientists develop revolutionary brain-mimicking AI called Topographical Sparse Mapping that connects neurons only to nearby related ones, dramatically slashing energy consumption by over a million kilowatt-hours while boosting performance through biological pruning processes that refine connections during learning.
Perplexity AI's valuation skyrockets from $14 billion to $50 billion in months as the search startup raises funding rounds monthly instead of annually, generating $150 million in revenue while making a stunning $34.5 billion bid for Google Chrome amid fears of an AI investment bubble with 100x revenue multiples.
Scientists at University of Texas at Dallas unveil a revolutionary brain-inspired computer that learns like humans while consuming 90% less energy than current AI systems, potentially bringing powerful machine learning capabilities to mobile devices and dramatically reducing the environmental impact of artificial intelligence.