2101 stories tagged AI · page 59 of 88
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 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.
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.
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.
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.
Taiwan Semiconductor Manufacturing Co. (TSMC), the world's largest chip maker, is struggling to meet the surging demand for AI chips. Even with new factories in the US, supply can't keep up with the explosion in AI development. This bottleneck could slow down AI progress for everyone.
Major AI companies, including fierce rivals, have united to warn lawmakers about the risk of AI being used to develop biological weapons. They're calling for stricter regulations to close what they describe as an alarming biosecurity gap.
Researchers propose a way to test AI agents before they go live, ensuring they follow rules, stay safe, and comply with governance standards. This addresses a critical gap in enterprise AI reliability.
Researchers created VAMPS (Visual-Assisted Mathematical Problem Solving), a benchmark to test AI models' ability to solve math problems using visual tools like graphs. This is important because real-world science and engineering often rely on visual aids for problem-solving, and many current AI models struggle when they must use external tools and interpret their visual outputs.
Researchers developed StepPRM-RTL, an AI framework that enhances the accuracy of automatically generating hardware code. This could make designing digital circuits faster and more reliable for engineers.
Microsoft released an open-source tool that lets developers create AI behavior tests using simple text descriptions. This could make it easier to ensure AI systems behave as intended.
A new paper argues emotional support from AI often arises incidentally during routine, task-oriented interactions—not just from dedicated companion chatbots—and this incidental bonding could reshape how people connect with both machines and humans.
Google's new AI agent, Spark, can uncover personal details you never explicitly shared. Hands-on tests show it knew a reporter's dog's name and another's wife's first name — raising questions about whether AI convenience comes at the cost of an unsettling loss of privacy.
Google announced five new commitments to reduce the environmental impact of its AI data centers, including a goal to replenish more water to local communities than it uses. This move aims to address growing backlash over the massive water consumption of AI infrastructure across the US.
Amazon has upgraded its warehouse robot, Proteus, to understand and respond to human language. This shift toward more intuitive automation could change how warehouses operate and interact with human workers.
Amazon’s updated search bar now displays AI-generated images of products as you describe them. This feature currently works for clothing and home goods, helping you find similar items even if the exact product isn’t available.
Researchers found that AI tools are changing how mathematicians formalize and verify proofs. These tools make it easier for humans to turn abstract ideas into machine-checked proofs, speeding up the process significantly.
Researchers argue that disagreements among AI systems might reveal important normative uncertainties, not just errors. They propose a knowledge-representation layer that abstracts reasoning traces and decisions into symbolic disagreement states for value-laden tasks.
A new study proposes Visual Graph Scaffolds, a method that uses graph structures to improve the reasoning of large language models (LLMs). Unlike prior approaches that treat graphs as external data sources, this technique integrates graphs directly into the model's reasoning process, inspired by how humans use mind maps to organize complex thoughts. The method showed significant improvements on multi-hop question answering tasks.