New research reveals pricing algorithms automatically drive up consumer costs through learned retaliation against price cuts, creating anti-competitive outcomes without explicit collusion and challenging regulators who traditionally rely on finding direct coordination between companies.
Google DeepMind launches new Singapore research lab to advance AI development across Asia-Pacific, focusing on Gemini capabilities, linguistic inclusivity, and partnerships spanning Parkinson's disease research to Southeast Asian language models.
AI experts remain divided on whether large language models demonstrate genuine intelligence or merely sophisticated pattern recognition, as these systems successfully tackle complex problems like Math Olympiad questions while working with word-embedded knowledge, though multimodal AI models face greater skepticism due to their pixel-based processing methods.
Researchers discover that AI models dramatically switch between accurate and false responses based solely on how questions are phrased, with 'think step by step' prompts triggering correct factual recall while 'give answer in one word' instructions activate shallow processing circuits that frequently generate hallucinated information.
SambaNova researchers discover that AI agents with structured workflows dramatically outperform raw language models in software problem-solving, with DeepSeek-R1 achieving 30.3% success versus just 7% for direct approaches, proving that intelligent scaffolding matters more than raw model capabilities.
Google DeepMind releases SIMA 2, a Gemini-powered AI agent that learns to navigate 3D video games like No Man's Sky through trial and error, potentially paving the way for real-world robotics applications despite current limitations with complex tasks and memory.
Google DeepMind unveils SIMA 2, a groundbreaking AI gaming companion powered by Gemini that evolves from following simple instructions to reasoning, conversing, and self-improving through trial-and-error in 3D virtual worlds, demonstrating unprecedented adaptability across unseen games while understanding sketches, emojis, and multiple languages.
Groundbreaking research reveals that AI language models wastefully activate their entire networks for social reasoning tasks while actually using only a tiny specialized subset of parameters, creating massive inefficiency compared to human brains and pointing toward revolutionary energy-saving AI designs.
Scientists develop world's first microwave-powered computer chip that processes over 20 billion operations per second using analog microwaves instead of digital circuits, consuming less than 200 milliwatts while achieving 88% accuracy in pattern recognition tasks for AI and wearable applications.
New research testing 24 advanced AI language models reveals they systematically fail to distinguish between belief and knowledge, with accuracy plummeting from over 90% to as low as 14.4% when processing first-person false beliefs, exposing critical flaws in their reasoning capabilities.