All 3,125 AI stories, newest first · page 71 of 131
Researchers developed a method called GITCO to improve AI forecasting by cleaning up the input data instead of changing the model itself. This could make AI predictions more accurate without needing to retrain the model.
OpenAI's Codex is evolving beyond coding to help with research, data analysis, and content creation. It's making complex tasks easier for everyday users, not just programmers.
Apple’s Worldwide Developers Conference (WWDC) 2026 is expected to feature a revamped Siri and new Apple Intelligence tools. These updates aim to make Apple’s ecosystem smarter and more integrated for everyday users.
Anthropic's revenue surged to $47 billion annually, up from $9 billion last year. The company's rapid growth faces scrutiny as it prepares for its IPO.
AirTrunk, an Australian data center operator, is investing $30 billion to build 5 gigawatts of AI-focused data centers in India. This massive project will significantly boost India's AI infrastructure and global tech competitiveness.
When AI models edit code repeatedly, they tend to recycle the same solutions rather than exploring new ones. This could limit how creative AI tools can be when helping programmers. Researchers found that in 87% of mutation chains, over 93% of AI-generated code mutations revisited familiar structural forms.
Donald Trump suggested the US government could take ownership stakes in AI companies to ensure national security. This would be a major shift in how the US engages with the tech industry.
Researchers analyzed a discontinued Reddit experiment where AI-powered accounts debated users without disclosure. The study highlights how these AI agents influenced opinions in a real-world setting.
Researchers introduced SentinelBench, a benchmark to test AI agents' ability to monitor tasks over long periods. This could improve AI assistants that handle slow, real-world tasks like waiting for stock price changes or tracking delivery updates.
Scientists have developed a new way to study how AI models can degrade when trained on synthetic data. Their findings show that this problem spreads between models, much like a contagious disease. This could help prevent future AI systems from becoming unreliable.
Scientists studied how AI agents communicate and found that unstructured chatting wastes resources. They discovered that structured communication can make AI teams work faster and cheaper.
OpenAI has outlined its public policy agenda, focusing on safety, youth protection, and global standards. The goal is to ensure AI benefits society as a whole. The agenda includes workforce transition support and international collaboration to guide AI's future.
NVIDIA released Nemotron 3.5, an open-source AI model that helps businesses customize safety filters. This tool lets companies adapt AI content moderation to local laws and cultural norms.
Researchers introduced Agents' Last Exam (ALE), a new benchmark to evaluate AI agents on long-horizon, economically valuable tasks with verifiable outcomes. This could help bridge the gap between AI performance in labs and real-world usefulness.
Researchers created a synthetic dataset to help AI understand complex questions across multiple tables. This could make databases and spreadsheets much easier to query with natural language.
Researchers developed a new AI system called Query Retrieve Conclude that can understand and interpret memes by finding missing context online. This could help platforms moderate content and users better understand internet humor.
Researchers introduced LeanMarathon, a multi-agent AI system designed to help mathematicians formalize and prove complex theorems in the Lean proof assistant. It uses four contract-scoped agents to construct, audit, prove, and repair an evolving blueprint that serves as a formal proof skeleton, natural-language proof graph, and shared system of record, addressing issues like statement drift, tangled dependencies, and context decay.
Hello Robot released Stretch 4.0, a home assistance robot designed to help with household chores. This could make daily tasks easier for busy families and elderly individuals.
EVA-Bench Data 2.0 is a comprehensive dataset designed to test AI models' ability to use tools effectively. It includes 213 scenarios across 3 domains and 121 tools, making it a valuable resource for developers and researchers.
Poke, an AI agent startup, is now the first approved for Apple’s Messages for Business platform. This means businesses can now use AI to handle customer inquiries via text messages on iPhones.
Researchers discovered that AI judges used to rank model performance can be swayed by follow-up conversations after they have already made a decision. This vulnerability, called 'post-decision manipulability,' challenges the reliability of current AI evaluation methods.
AI companies are facing huge financial challenges as the cost of running AI models grows. This shift is forcing them to rethink their aggressive expansion strategies. The industry is now focusing on cost control and sustainability, moving away from the 'go fast' mentality.
Wasmer leveraged OpenAI's Codex, powered by GPT-5.5, to create a Node.js runtime for edge devices, speeding up development 10x to 20x. This breakthrough showcases how AI can accelerate software development for edge computing.
The UK's Competition and Markets Authority (CMA) has ordered Google to allow publishers to opt out of AI Search features. This gives website owners more control over how their content is used in AI-generated summaries and overviews.