2101 stories tagged AI · page 13 of 88
OpenAI has published an AI-generated solution to the Navier–Stokes Millennium Prize Problem, including a formal proof written in Lean. This marks a major step toward solving one of the seven unsolved Millennium Prize Problems.
OpenAI says it has solved a major math problem related to fluid dynamics that has stumped experts for nearly a century. The solution, if verified, could have significant implications for physics and engineering.
A new benchmark called MERIT measures the marginal utility of long-term memory for tool-using LLM agents. The study finds that memory often fails to improve task performance, especially when access costs are high, challenging assumptions about AI memory in real-world applications.
Google DeepMind launched AlphaGenome Atlas, an AI tool that predicts the effects of every possible DNA mutation in the human genome, aiming to accelerate genetic research and the discovery of new treatments for diseases.
A senior Anthropic researcher claims there's a 10% chance AI could cause human extinction by 2030. This comes as another researcher resigned, citing reckless development of superhuman AI systems.
The Seattle Times and Newsday have filed a lawsuit against OpenAI and Microsoft, alleging that their journalism was used to train AI models without permission and that the models reproduce copyrighted passages verbatim. This lawsuit follows similar claims from other major media outlets.
Legora used GPT-6 Astra to review 41 financial documents in minutes, finding all four planted errors and improving performance by nearly 40%. This demonstrates how advanced AI models can enhance efficiency in financial workflows.
Google has launched Pics, an AI-powered image creation and editing tool built on the Nano Banana model, now available to all Google Workspace users.
Researchers from the University of Washington and MIT propose a removal-based approach to improve the faithfulness of LLM explanations by identifying and removing incomplete or unsound parts, making AI reasoning more reliable for high-stakes decisions.
MegaTrain is a new tool that makes it possible to train massive AI models on just one GPU. This could democratize AI development, making it accessible to individuals and small teams who couldn't afford expensive hardware before.
Researchers introduce Iris-mini (35B parameters) and Iris-pro (397B parameters), two AI search agents trained to answer complex multi-hop questions by navigating web hyperlinks. Unlike keyword-based search, these models reason through entity graphs and outperform reference models on closed-book tasks.
Researchers released EXAONE Forecast for Finance (EXAONE Finance), a financial time series foundation model (TSFM) tailored to financial forecasting. It handles partially observed inputs and uses an efficient computational backbone to reduce quadratic cost, achieving strong zero-shot performance on financial data.
A new arXiv paper proposes the Corporate Language Model (CLM), an AI architecture designed to capture tacit enterprise knowledge, ground it in company-specific context, and execute auditable decisions — addressing the brittleness of generic LLMs and RAG systems in enterprise settings.
A new study from MIT and the University of Toronto shows that more advanced AI models can increase systemic risk in financial markets because they make similar decisions, creating dangerous correlations that cannot be diversified away.
The Seattle Times and Newsday have filed lawsuits against OpenAI and Microsoft, alleging the companies used their copyrighted journalism to train AI models without permission or compensation. The cases seek damages and an injunction, joining a wave of similar legal actions from major publishers.
Roland's new Melody Flip tool uses AI to generate musical ideas within your digital audio workstation. It offers 250 themed palettes across various genres to inspire and assist musicians.
Three hikers were rescued after Google Gemini advised them to bring far less food and water than their group required. The incident highlights the risks of relying on AI for critical trip planning decisions.
Google has partnered with Arsenal, Borussia Dortmund, FC Barcelona, LA Galaxy, and AC Milan to enhance fan experiences using AI and Pixel technology, making matchdays more immersive and interactive for fans worldwide.
Abliteration.ai is selling AI models without safety restrictions, claiming this helps cybersecurity by giving defenders the same tools as attackers. The company argues this approach could lead to better overall security.
Researchers introduced Speculative Macro Commit (SMC), a runtime mechanism that uses a fast speculative model to predict and execute future action chains on an isolated environment snapshot, while a larger authoritative model produces the official trajectory, reducing wall-clock delays in tool-using LLM agents.
Researchers introduced PlanFence, a dependency-scoped validation protocol that prevents distributed LLM-agent teams from executing actions based on obsolete plans, even when they have access to the latest shared facts.
OpenAI's GPT-6 Astra is its most capable broadly deployed model and the first to reach the Critical level of cybersecurity capability under the company's Preparedness Framework, setting a new safety benchmark for AI systems.
A new arXiv paper introduces a governed approach to enterprise analytics that combines language models with deterministic policies to ensure reliable, replayable results. Tested across 440 runs with three 8B models, the system interprets questions and runs pre-approved analytical programs.
Meta is testing robots to perform routine maintenance and inspection tasks in its data centers, aiming to improve efficiency and reduce human workload. The robots work alongside technicians, not replace them, and are still in early trials.