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OpenAI and Google Cloud have partnered to bring OpenAI's frontier models and Codex workflows to Google's Gemini Model Garden, available through the Google Cloud Marketplace for developers.
OpenAI, PerturbAI, and Scripps Research deployed thousands of distributed AI agents to analyze data from millions of brain cells, uncovering promising research leads for drug development and neurological disease treatments.
NVIDIA's Kumo Relational AI model analyzes relational data without any training, outperforming traditional supervised machine learning on benchmarks. This zero-shot approach could make advanced data analysis accessible to non-experts.
Entrepreneur and author Jeff Booth argues that exponentially advancing AI models will drive the cost of digital intelligence to zero, forcing a structural clash with debt-heavy global financial systems.
Recent stock market drawdowns are being driven by a massive unwinding of record hedge fund leverage rather than a collapse in artificial intelligence fundamentals. Despite headlines warning of a tech sector collapse, multi-year hardware backlogs and rapid enterprise adoption indicate that underlying demand for AI compute remains strong.
Google released a tool to help PyTorch developers move AI apps off Nvidia GPUs, joining Amazon in a bid to reduce reliance on Nvidia's hardware. This could lower costs and increase flexibility for AI developers.
Researchers introduced ClariEdge, a dataset designed to train retrieval-augmented generation (RAG) systems to recognize ambiguous user queries and generate helpful clarification requests, improving multi-turn conversational AI.
AT&T's in-house LegalEdge team is partnering with OpenAI to build AI-powered tools that streamline legal intake, automate document review, and make legal knowledge more accessible across the company.
Anthropic is struggling to secure enough computing power from cloud providers, who now see it as a competitor. The company is spending heavily on infrastructure as it prepares for a November IPO.
OpenAI's Terminal X uses GPT-6.1 to evaluate investment decisions with near-human accuracy. The AI grades outputs against a 54-criterion rubric, catching 25% more deviations from a fund’s mandate.
OpenAI has acquired Orchestra Bio to integrate AI-powered operations into life sciences R&D, helping biopharma teams accelerate drug development and advance new treatments.
Researchers at arXiv introduced Navalia, a framework that trains AI coworkers using verifiable task synthesis and long-horizon post-training. This method creates challenging tasks with reliable answers, improving AI performance in complex domains like financial analysis that require multistep reasoning and cross-document evidence.
Researchers introduced MedPAO-Assist, an edge-deployable agentic AI framework that generates structured radiology reports directly from radiologist dictation and voice commands, requiring only 3.3 GB of peak RAM and no cloud or high-end GPU.
LayerFS is a new filesystem built for AI coding agents, enabling them to manage code changes, track versions, and collaborate on codebases more efficiently.
TheCloudlet demonstrates a method to safely delete 19,000 lines of dead compiler code by using AI to identify candidates and then relying on human verification to avoid errors.
Roan (@RohOnChain) shared a guide on X that walks through building an AI trading system from scratch, promising real market data, real backtests, and a bot that trades 24/7.
IBM Research released ALTK-Evolve, an open-source AI model that tops the τ²-bench leaderboard for customer service tasks without using a frontier model. It uses learned memory to outperform larger systems, making advanced AI more accessible.
A new ArXiv study analyzed over 1.1 million AI-generated poems across 16 open-weight models and 15 poetic forms, finding that all models suffer from 'mode collapse' — producing repetitive, self-similar outputs that lack creative diversity.
Google and Meta have released TorchTPU, an open-source hybrid eager/compiled architecture that enables native PyTorch execution on Google TPUs with industry-competitive training and inference performance.
Tenstorrent, a competitor to Nvidia, raised $1.5 billion to remain independent and expand its AI chip production. The funding values the company at $6.2 billion, highlighting the growing demand for open-weight AI solutions.
Researchers from the University of Washington and the Allen Institute for AI introduced SWECraft, a framework that simulates AI agents collaborating on real Python packages in realistic software environments to study scalable multi-agent teamwork.
Researchers introduced Mirror, a self-supervised AI system that learns to translate videos into actions through environment interactions, eliminating the need for large human-collected datasets and making robots more adaptable.
Laplace Intelligence, a University of Michigan spinout, uses AI agents and interactive simulations to stress-test robots and self-driving vehicles before real-world deployment, aiming to improve safety and reliability.
Allen Institute for AI's HiRO-ACEv2 model simulates extreme weather at unprecedented 3km resolution. It's 100x faster and 10x cheaper than traditional methods, making high-quality weather forecasting more accessible.