All 2,608 AI stories, newest first · page 75 of 109
Researchers have developed a method to help AI personal assistants learn skills while keeping context limited. This could make local AI helpers smarter without sacrificing privacy or performance. The approach, called constant-context skill learning, allows AI agents to operate tools and browsers more efficiently, reducing the need for repeated processing of long histories.
Researchers have developed BALAR, a system that helps AI models actively seek missing information in conversations. This could make AI assistants much more effective at multi-step tasks.
Researchers have created EMO, an AI model that can learn different skills separately and combine them as needed. This could make AI more flexible and efficient for everyday tasks.
Researchers developed FinAgent-RAG, an AI tool that helps answer complex questions about financial documents. It can handle tables, text, and footnotes to provide accurate insights.
Researchers have developed LaTA, an open-source AI grader that runs locally to protect student privacy. It's designed for STEM courses and works with existing LaTeX workflows.
Researchers have developed a new AI framework called LANTERN that helps machines learn new tasks faster by combining knowledge from multiple past experiences. This could make AI systems more efficient and adaptable in real-world applications.
OpenAI has developed strict security measures to ensure its AI coding assistant, Codex, operates safely. These measures include sandboxing, approvals, and network policies to prevent misuse. This approach helps protect users and organizations from potential risks while using AI for coding tasks.
Google's Gemini API now supports webhooks, which notify you when AI tasks are done, so you don't have to keep checking. This saves time and makes using AI tools smoother for everyone.
Anthropic's AI system, Mythos, discovered critical security bugs in Firefox. This could lead to safer web browsing for everyone. Mozilla is now using AI to proactively find and fix vulnerabilities before they become problems.
Researchers used AI and existing traffic cameras to study how small urban design changes affect driver behavior. The system could help cities make streets safer without costly new infrastructure.
Researchers used AI to automate the design of complex scientific formulas, potentially speeding up material science breakthroughs. This could lead to better batteries, stronger metals, and more efficient solar panels in the future.
A new tool called Adola can reduce the number of input tokens needed for AI models by 70%. This could make AI interactions much cheaper and faster for everyday users.
A small, specialized AI model trained for legal work beat larger models at extracting key details from contracts. It did so at a fraction of the cost, showing smaller models can sometimes be better for specific tasks.
OpenAI is experimenting with ads in ChatGPT to keep the free version available. The ads will be clearly labeled and won't influence the AI's responses.
OpenAI has introduced GPT-5.5 and GPT-5.5-Cyber under its Trusted Access program, aiming to help cybersecurity professionals protect critical infrastructure. This move is designed to accelerate vulnerability research and enhance cyber defenses.
Researchers found a way to bypass watermarks on AI-generated text, raising concerns about detecting fake content. This could make it harder to tell if text was written by a human or an AI.
Researchers have developed a way to make AI models better at admitting when they don't know something. This could make AI assistants more reliable in everyday use. The method works without needing to see the model's internal workings, making it useful for commercial AI services.
Researchers created a dataset to help AI work with medical tools. This could make AI more useful for doctors and scientists. The dataset, called BioTool, teaches AI to use specialized medical software and databases more effectively.
Researchers have identified a flaw in AI repair systems where rankings change unpredictably. They've released a tool to help developers spot and fix these issues. This could make AI systems more reliable for everyday users.
Researchers have developed a new way to watermark AI-generated text without reducing its quality. SLAM marks text structure rather than word choices, making it harder to detect and remove.
Researchers have developed a way to convert AI reasoning into symbolic solvers, making them faster and more accurate for complex programming tasks. This could lead to more efficient AI tools for everyday problem-solving.
Researchers created XL-SafetyBench to test AI models on country-specific safety issues and cultural sensitivities. This tool helps ensure AI understands and respects local norms beyond general English benchmarks.
Researchers have developed a way to create search-focused summaries from datasets that weren't originally designed for this purpose. This could make it easier to find key information in long documents without needing specialized data.
Researchers have developed a method to spot harmful intentions hidden in multi-turn AI conversations. This helps prevent AI models from being tricked into harmful behavior over time.