All 3,460 AI stories, newest first · page 94 of 145
A new study highlights how AI models can accidentally expose sensitive training data. This raises privacy concerns and challenges for AI developers. Researchers propose ways to mitigate these risks.
Researchers developed a way to make AI models reflect diverse cultural values more accurately. This could help AI understand and respect different cultural perspectives better.
Researchers created a benchmark to test AI's ability to model human beliefs and emotions. This could help build more empathetic and socially aware AI assistants.
Researchers developed POLAR, an AI system that helps robots learn personal preferences through long-term interactions. This could make future home robots more helpful by understanding individual needs.
Researchers have developed two AI systems that automate data collection and lecture analysis. These tools could make scientific work faster and more accessible.
Researchers created JobBench, a new way to test AI assistants on tasks that actually help people. It focuses on real-world work needs instead of just replacing jobs. This could lead to AI tools that empower workers rather than replace them.
Google’s overhaul of Search to prioritize AI agents over traditional blue links has sparked a backlash. Users are flocking to DuckDuckGo, with app installs up 30% in a month. The shift highlights growing resistance to AI-driven search changes.
A critical vulnerability called "BadHost" has been discovered in Starlette, a popular open-source package. This affects millions of AI agents and could compromise security.
China is increasingly keeping its best AI talent at home, reflecting a global trend where countries are prioritizing domestic AI development. This shift could reshape the global AI landscape and impact international collaboration.
A new study challenges claims that AI models can introspect, arguing that what looks like self-awareness might just be clever pattern matching. Researchers say we need better tests to truly know if AI understands itself.
AI companies spent millions to influence a New York congressional race, but their efforts ended up making the candidate they opposed more famous. This shows how AI's growing role in politics can have unexpected consequences.
AI is already transforming warfare, with autonomous systems and lethal weapons being developed and debated. This shift raises critical ethical and safety concerns for the future of conflict.
Researchers discovered a way for AI models to get better by checking their own work. This could make AI smarter without needing human input, speeding up progress in areas like math, science, and coding.
New research shows AI hiring algorithms disproportionately reject Black and Asian job applicants. These systems often reinforce existing biases in hiring practices.
AI tools are now capable of performing tasks that were once the domain of high-priced consultants. This shift could democratize access to expert advice and reduce costs for businesses.
AI agents change as they work, so researchers propose new ways to measure how long they stay reliable. This could help make AI tools more dependable for everyday use.
Uber has spent its entire AI budget for 2026 in just four months, leading executives to question the value of their investments. The company is now scrutinizing whether AI tools like Claude Code are delivering real business benefits.
A group of creators used four AI tools to produce a professional heist movie trailer. They shared their exact process and costs, showing how accessible AI filmmaking has become.
Human Archive is paying gig workers in India to collect real-world physical data for AI and robotics training. This approach could make robots more adaptable to everyday human environments.
A new study investigates whether AI can replicate the open-ended creativity of humans, using Picbreeder as a model. The research could help us understand if AI can generate truly novel and meaningful ideas on its own.
Researchers analyzed 20 million Twitch chat messages to understand how toxic behavior varies across different gaming communities. They found significant differences in toxicity levels depending on the game genre, with some communities being much more hostile than others.
Researchers have developed a new AI model that can understand and generate speech in English and Korean, enabling natural real-time conversations. This breakthrough could revolutionize how we interact with voice assistants and other speech-based technologies.
OpenRouter, a platform for accessing multiple AI models, has raised $113 million and seen a 5x growth in usage. This highlights the growing demand for diverse AI capabilities.
Researchers found that large language models are often too confident in their answers, especially on difficult questions. They developed a new test called LifeEval to measure this overconfidence across different task difficulties.