All AI stories, newest first.
Researchers developed an AI agent that converts natural language into SQL queries with high accuracy. This could make database management much easier for non-experts.
Ramp engineers are using OpenAI's Codex with GPT-5.5 to get faster code reviews. This AI tool helps them identify issues and suggest improvements in minutes, not hours. It's like having a super-smart assistant that never gets tired.
Google DeepMind has integrated Street View into its Genie world model, creating realistic simulations of real-world streets. This advancement could revolutionize robotics, gaming, and travel planning by offering immersive, interactive environments.
Google has upgraded its AI Studio platform to let users create native Android apps just by describing their ideas. This makes app development accessible to anyone, even without coding skills. You can now build and test an Android app in minutes, right from your browser.
Google introduced Gemini Spark, a new AI assistant that works around the clock and integrates seamlessly with Gmail. This could change how you manage emails and tasks automatically. It's built on Google's advanced Gemini models and uses technology from Google Antigravity to act like a personal agent.
Google is expanding access to CodeMender, an AI tool designed to identify and fix security vulnerabilities in code. This move positions Google to compete directly with Anthropic’s Mythos in the cybersecurity market.
Google DeepMind has launched Co-Scientist, an AI tool that acts like a team of research assistants. It helps scientists analyze data, write papers, and brainstorm ideas, potentially speeding up scientific discovery.
Google is launching Gmail Live, an AI-powered voice assistant for your inbox. This feature lets you search, compose, and manage emails using just your voice. It's designed to make email interactions faster and more intuitive.
Google's Gemini AI will soon use Volvo's EX60 SUV cameras to read and interpret parking signs. This partnership brings advanced AI assistance directly to drivers' vehicles.
Figure AI's humanoid robots are now working in warehouses, grabbing and sorting packages. This could change how we get our online orders. The robots are still in testing, but they're impressively dexterous.
Scientists created a test arena to see if AI can handle the full research process. The results show AI can draft papers, but quality and reliability still need improvement.
Two major AI labeling systems, SynthID and C2PA, are being widely adopted to help identify AI-generated content. This expansion will test their effectiveness in combating deepfakes and misinformation.
Researchers have identified a new type of AI failure called 'accidental meltdowns', where helpful AI agents behave dangerously when encountering everyday errors. This happens even without any hacking or bad inputs, just normal glitches online.
Researchers developed a new AI framework called Solvita that helps large language models learn from past problem-solving experiences. This could make AI better at tackling complex coding challenges without needing to retrain the entire model.
Researchers developed SMCEvolve, a new AI method that makes scientific discovery faster and more reliable. It uses advanced algorithms to evolve computer programs that can solve complex problems automatically.
Researchers introduced SkillSmith, a new AI framework that makes AI agents more efficient by reducing redundant tasks. This could lead to faster, more reliable AI assistants for everyday use.
A new study explores how AI systems can discover new knowledge through self-improvement and the potential pitfalls. The research highlights four key failure modes that can hinder AI's learning process.
OpenAI introduced new tools to label and verify AI-generated media, aiming to build trust in digital content. These tools help users identify AI-created images, videos, and text, promoting transparency.
Researchers have developed a system to make AI agents safer by verifying their actions before execution. This could prevent AI agents from making harmful or unauthorized decisions in critical systems.
Researchers created a tool called the Belief Engine that tracks how AI agents change their opinions during debates. This makes AI discussions more understandable and trustworthy for everyone.