All 2,608 AI stories, newest first · page 5 of 109
A federal judge approved a $1.5 billion settlement for authors who accused Anthropic of using their copyrighted books to train AI models. Authors will receive around $3,000 per book affected.
AMD is investing up to $5 billion in AI company Anthropic and supplying up to 2 gigawatts of Instinct MI450 AI GPUs via its Helios rack-scale system. The deal aims to dramatically expand Anthropic's computing power and accelerate the development of its AI models.
Researchers introduced PEARL, an AI system that translates natural language descriptions of real-world decision problems into formal optimization models and executable solver code. Unlike one-shot approaches, PEARL iteratively refines its solutions by executing code, incorporating solver feedback, and correcting errors — making powerful optimization accessible to non-experts.
Sony Music Entertainment has filed a lawsuit against AI music generator Udio, alleging copyright infringement over 30,000 songs including hits by Elvis Presley, Beyoncé, and Harry Styles. The case highlights the escalating legal battle between record labels and AI companies.
A new study encoding EEG signals shows that advanced language models achieve next-word prediction accuracy closely aligned with human brain activity during reading. The findings bridge neuroscience and AI, with implications for more intuitive human-AI collaboration.
Researchers from ArXiv cs.AI introduced PlanFlip, a framework of four prompt injection attacks targeting the planning phase of multi-agent LLM systems. A single injection into the Planner's context can cascade to corrupt all downstream sub-tasks, posing a critical security risk for applications like customer service bots and automated decision-making tools.
OpenLanguageModel (OLM) is an open-source PyTorch library that makes small language model pretraining readable and composable. Its code mirrors the architecture using components like Block, Residual, Repeat, and Parallel, enabling use in teaching notebooks, full pretraining runs, and research ablations without modification.
OpenAI introduces the ChatGPT for Small Businesses program, offering entrepreneurs free access to ChatGPT Work and AI training to help automate tasks and grow their business.
OpenAI and Hugging Face released early findings from a security incident that occurred during AI model evaluation, revealing advanced cyber capabilities and key lessons for defenders to improve AI security.
Nvidia has released Cosmos 3 Edge, an open-source AI model designed to run on everyday devices like smartphones and smart home gadgets, enabling real-time, offline AI capabilities.
Researchers introduced agrepl, a developer-first CLI framework that enables deterministic replay of AI agent executions by intercepting all external interactions, solving the non-determinism problem in LLM-based agent systems.
A comprehensive survey on arXiv categorizes methods for verifying reinforcement learning (RL) policies, addressing a critical barrier to deploying AI in safety-critical domains like autonomous driving and healthcare.
A new study on ArXiv reveals that some large language models (LLMs) show systematic and consistent risk attitudes under uncertainty, tested across spatial navigation, clinical triage, and financial allocation tasks. The findings could inform the design of safer AI systems for high-stakes decisions.
A new study from ArXiv cs.AI tested nine open-weight language models (135M to 3B parameters) on a 1,085-question, 16-topic benchmark designed for local deployment. Results show even the smallest models perform well on structured tasks, advancing AI democratization by enabling local, private, and cost-effective AI without cloud dependency.
A comprehensive ArXiv review systematically categorizes Graph Neural Network (GNN) techniques for link prediction, covering underlying architectures and diverse graph structures. The taxonomy aims to improve recommendation systems, fraud detection, and social network analysis by better inferring missing or future connections in data.
A new study on arXiv introduces a membership inference attack (MIA) for fine-tuned discrete diffusion language models (dLLMs), revealing that attackers can efficiently determine if specific data was used in fine-tuning. This poses significant privacy risks for users of AI systems built on these models.
A new audit framework reveals that human trainers' emotional states—such as stress or distress—can systematically bias the preference labels used in Reinforcement Learning from Human Feedback (RLHF), leading to unintended shifts in AI behavior. The study proposes methods to detect and correct this 'rater state bias.'
Researchers introduced JOR-Bench, a collection of five Japanese-language benchmarks with 1,319 problems to evaluate how well large language models (LLMs) can formulate and solve operations research (OR) problems, covering linear programming, mixed-integer programming, non-linear programming, and combinatorial optimization.
Researchers at MIT and Stanford have created novel semiconductor materials that enable AI chips to process information faster while using less energy and generating less heat. This breakthrough could make high-performance AI affordable and accessible in everyday devices like smartphones and smart home gadgets.
Hugging Face released Grabette, an open-source system that records and shares detailed robot manipulation data. It lowers the barrier for robotics research by making data collection accessible to anyone, not just well-funded labs.
Google has launched Gemini 3.5 Flash Cyber, a cost-effective AI model designed to identify and fix security vulnerabilities quickly. This new tool aims to provide a more affordable alternative to larger, more expensive AI systems like Anthropic's Mythos.
A federal judge approved Anthropic's $1.5 billion settlement in a landmark copyright lawsuit over AI training data. The deal resolves one case but leaves the broader legal and ethical questions about using copyrighted works to train AI models unresolved.
A new study on the open-weight LLM Qwen3-8B reveals that AI models frequently commit to an answer before reasoning through a problem — even when the answer contradicts the task premise. Using a simple car wash scenario, researchers found the model recommended walking instead of driving in 85–100% of cases, despite driving being the only logical choice.
A music critic who usually despises AI-generated music found himself genuinely enjoying a song created with Suno. The track 'Semiramis's Dream' blends AI tools with human creativity, challenging the notion that AI music is soulless and showing a promising future for AI-assisted music production.