2101 stories tagged AI · page 36 of 88
Verbatimeter is a lightweight tool that helps users verify how well their AI models or RAG agents stay grounded in real-world facts. It's designed to be minimalist and easy to use, making it accessible for both developers and non-technical users.
Researchers propose a new system called Context Graphs to make AI agents proactive. This could help AI assistants anticipate needs and surface relevant, actionable information before workers even ask.
OpenAI has released a set of principles for collaborating with governments and national security agencies. The guidelines emphasize responsible AI use, democratic accountability, and public safety. These principles aim to ensure AI is used ethically and transparently in sensitive areas.
A new research paper outlines how large language models (LLMs) are being used in healthcare, bridging the gap between clinical needs and AI capabilities. The study proposes a framework to align medical training standards with AI's potential in patient care.
Researchers highlight risks of AI in mental health and propose a new framework to ensure safer, more effective support. The study calls for proactive measures to address long-term harms like dependency and distorted beliefs.
A new paper explores how humans and AI models can create misleading information when they interact. The research highlights how incentives can lead to strategic misinformation, beyond simple echo chambers.
Meta has turned off a new Instagram feature that allowed users to create AI-generated images based on public accounts without permission. The move comes after significant backlash from users concerned about privacy and misuse.
Researchers created Infinity-Parser2, an AI that can read and understand documents better than ever. It uses a special training method to handle all kinds of documents, from contracts to reports, in both English and Chinese. This could make document processing faster and more accurate for businesses and everyday users.
A new research paper explores how AI is changing actuarial work, especially in underwriting. It highlights the potential of advanced AI systems to handle complex, unstructured data and regulated workflows. This could make insurance processes faster and more accurate for everyone.
With traditional language model training hitting diminishing returns, researchers are turning to simulated 3D worlds to teach AI agents common sense, planning, and physical reasoning — skills that text alone struggles to impart.
Sunrun is launching a pilot program that lets homeowners earn money by hosting AI data center nodes in their homes. This could make AI computing more sustainable and accessible, but raises questions about energy use and privacy.
Researchers have developed a new AI model that learns from shopping habits to predict customer behavior. This could revolutionize personalized shopping experiences and marketing strategies.
A new study demonstrates how IBM's Heron quantum processor can be used as a calibrated belief-update service for autonomous systems operating under partial observability. In a controlled case study on the sequential Tiger POMDP problem, researchers show that the quantum processor can estimate rare-event evidence terms and return accurate posterior beliefs to a classical planner, without corrupting the planner-facing posterior over multiple time steps.
Researchers created PLURAL, a dataset designed to help AI understand global values beyond Western perspectives. This could make AI tools more relatable worldwide. PLURAL transforms survey responses from 92 countries into scenarios that teach AI about diverse cultural values. This is a step toward more inclusive AI systems. You can explore the initial version of PLURAL on ArXiv.
OpenAI's new GPT-5.6 model offers better performance at a lower cost, making advanced AI tools more accessible. It's designed to handle complex tasks more efficiently than ever before.
The New York Times claims OpenAI concealed tools and datasets that could show ChatGPT used copyrighted journalism. This escalates the ongoing lawsuit with a new motion for sanctions.
Researchers developed a framework called Reasoning Consistency Scanning to audit AI reasoning for logical consistency. This helps ensure AI explanations align with their conclusions, improving trust in AI systems.
Researchers created EspanStereo, a dataset of Spanish-language stereotypes, by combining human and AI efforts. This could help make AI systems more culturally aware and reduce biases in non-English contexts.
Meta has launched Muse Spark 1.1, an AI model designed to compete with coding assistants. The model integrates with AI coding tools through a new API, offering significant improvements over its predecessor.
Meta has sparked controversy by letting users create AI-generated images using public Instagram profile pictures. Critics argue this violates privacy and consent, as users' photos can be used without explicit permission.
Open source AI is growing rapidly, with Hugging Face becoming a central hub for sharing models and datasets. This trend is reshaping how companies develop and deploy AI technologies, making it more accessible to everyone.
A new paper argues that the key to controlling enterprise AI costs lies in the 'harness'—the orchestration layer that manages context, tools, and workflows. Without careful design, AI systems fall into 'token maxing,' where costs grow faster than value. The study shows that a well-designed harness can dramatically reduce token usage and expenses.
Microsoft has upgraded its 365 Copilot to use GPT-5.6 as the preferred model, making its AI features smarter and more reliable. This change affects how people use Word, Excel, and other Office apps daily.
FL Studio's AI chatbot, Gopher, is getting a major upgrade. It can now help you create music by suggesting ideas and fixing issues, making it a true assistant engineer.