All AI stories, newest first.
A new study identifies recurring weaknesses in AI agents that use tools and plan tasks. These failures highlight challenges in making AI more reliable for everyday use.
Researchers created a new system to train AI agents in realistic simulations, using reinforcement learning and reward shaping to improve multi-step decision-making.
Researchers have developed an AI system that helps non-experts design complex industrial parts using simple language. This tool could make professional-level design more accessible to everyone.
Researchers have developed an AI system called Prompt-to-Paper that creates scientific papers from prompts, ensuring claims are grounded in real literature. This addresses issues like fabricated results and lack of quality standards in AI-generated research.
Researchers have developed a new method to uncover the underlying causes of AI decisions in cyber-physical systems. This approach provides more robust insights, helping users understand automated decisions, especially in high-risk domains.
Researchers developed a new AI model called Narrative World Model (NWM) to help writers manage complex story details. It keeps track of evolving story states, like character secrets and event timelines, to improve long-form fiction writing.
A new survey shows that the majority of nurses don't trust AI to handle patient care. This highlights ongoing concerns about AI's reliability in critical healthcare roles. Nurses worry about potential errors and the lack of human touch in AI-driven care.
Hugging Face introduced a new native-speed backend for vLLM that dramatically accelerates inference for large language models, not training. This could significantly reduce costs and latency for developers deploying AI models.
Hugging Face and Amazon have teamed up to let users deploy AI models to Amazon SageMaker Studio with a single click. This makes it easier for developers to use powerful AI tools without needing deep technical expertise.
China is using AI to censor and manipulate information, raising concerns about global AI ethics. The government is training AI models to promote its political agenda, not just filter content.
Researchers discovered that nine widely used AI tools can be tricked into assembling massive botnets through a technique called "HalluSquatting." This vulnerability exploits AI models' tendency to hallucinate — generating plausible but incorrect responses — instead of refusing harmful requests. The finding underscores a critical security flaw in how AI handles ambiguous or malicious prompts.
Google has added new features to its Gemini API, including background tasks and remote MCP, making it easier for developers to build reliable AI agents. This could lead to more sophisticated AI assistants for everyday users.
General Intuition is betting that millions of hours of video game data can train the foundation models for physical AI, enabling smarter robots with minimal real-world data — a potential 'ChatGPT moment' for robotics.
Researchers introduced FirstResearch, a framework that generates a structured Research Question Certificate for AI-suggested scientific questions. The certificate records primitive definitions, assumptions, and falsifiers, allowing scientists to audit the reasoning behind each question.
Researchers introduced CSTutorBench, a benchmark designed to evaluate small language models (SLMs) as tutors for block-based programming in K-12 education. The benchmark focuses on VEX VR, a block-based robotics environment, and aims to help schools select affordable, private AI tutoring tools without relying on expensive proprietary systems.
Australian Payments Plus uses ChatGPT Enterprise and Codex to simplify complex payments processes. This helps them work faster and maintain high quality while keeping human oversight central.
Researchers introduced Akashic, a low-overhead memory system for LLM inference that uses MemAttention to organize context into bounded chunks and model semantic relationships. This could make chatbots and AI assistants much more efficient and accurate by reducing prefill costs and avoiding context limits.
A new paper explores integrating memory into every step of an AI agent's reasoning loop, but warns this approach could inflate latency by up to 83x. The work highlights a tension between memory-rich reasoning and real-time performance.
Researchers found that AI models can create realistic synthetic consumer responses for market research. This could make testing new products and campaigns faster and cheaper without needing real people.
Researchers have developed AI models that can automatically generate 3D CAD designs from plain-English descriptions. This breakthrough could revolutionize how engineers and hobbyists create mechanical parts.