Advancing independent research on AI alignment
OpenAI commits $7.5M to The Alignment Project for independent AI alignment research addressing AGI safety and security.
Search the full wire by company, model, lab, or keyword. Every story we have ever aggregated.
OpenAI commits $7.5M to The Alignment Project for independent AI alignment research addressing AGI safety and security.
OpenAI expands into India with local infrastructure, enterprise partnerships, and workforce development initiatives.
As AI workloads scale, achieving high throughput, efficient resource usage, and predictable latency becomes essential. NVIDIA Run:ai addresses these challenges... As AI workloads scale, achieving high throughput, efficient resource usage, and predictable latency becomes essential. NVIDIA Run:ai addresses these challenges through intelligent scheduling and dynamic GPU fractioning. GPU fractioning is wholly delivered by NVIDIA Run:ai in any environment—cloud, NCP, and on-premises. This post presents the joint benchmarking effort between NVIDIA and AI… Source
Python dominates machine learning for its ergonomics, but writing truly fast GPU code has historically meant dropping into C++ to write custom kernels and to... Python dominates machine learning for its ergonomics, but writing truly fast GPU code has historically meant dropping into C++ to write custom kernels and to maintain bindings back to Python. For most Python developers and researchers, this is a significant barrier to entry. Frameworks like PyTorch address this by implementing kernels in CUDA C++—either handwritten or by leveraging libraries… Source
Gemini app integrates Lyria 3 music generation model, enabling 30-second track creation from text or image prompts.
As global AI adoption accelerates, developers face a growing challenge: delivering large language model (LLM) performance that meets real-world latency and cost... As global AI adoption accelerates, developers face a growing challenge: delivering large language model (LLM) performance that meets real-world latency and cost requirements. Running models with tens of billions of parameters in production, especially for conversational or voice-based AI agents, demands high throughput, low latency, and predictable service-level performance. Source
OpenAI presents Evals framework as tooling to bridge AI experimentation and production deployment, addressing the pilot-to-production gap enterprises face.
OpenAI and Paradigm introduce EVMbench, a benchmark for evaluating AI agents on smart contract vulnerability detection and exploitation.
Anthropic and Rwanda government sign MOU to deploy AI in health and education sectors.
Anthropic releases Claude Sonnet 4.6 with frontier performance in coding, agents, and professional applications.
Enterprise data is inherently complex: real-world documents are multimodal, spanning text, tables, charts and graphs, images, diagrams, scanned pages, forms,... Enterprise data is inherently complex: real-world documents are multimodal, spanning text, tables, charts and graphs, images, diagrams, scanned pages, forms, and embedded metadata. Financial reports carry critical insights in tables, engineering manuals rely on diagrams, and legal documents often include annotated or scanned content. Retrieval-augmented generation (RAG) was created to ground… Source
Google DeepMind launches National Partnerships for AI initiative in India to scale AI applications in science and education.
Anthropic partners with Infosys to develop AI agents for telecommunications and regulated industries.
Import AI 445 examines superintelligence timeline predictions, frontier math theorem solving, and new ML research benchmark.
Anthropic opens Bengaluru office and announces partnerships across India to expand regional presence.
Anthropic partners with CodePath to integrate Claude into US's largest collegiate computer science program.
Chris Liddell appointed to Anthropic's board of directors.
GPT-5.2 proposes novel gluon amplitude formula in theoretical physics, later formally proved by OpenAI and academic collaborators.
OpenAI introduces Lockdown Mode and Elevated Risk labels in ChatGPT to defend against prompt injection and data exfiltration attacks.
OpenAI releases GABRIEL, an open-source toolkit using GPT to convert qualitative text and images into quantitative data for social science research.
OpenAI describes real-time access infrastructure combining rate limits, usage tracking, and credits for Sora and Codex.
Cohere and SAP expand partnership to deploy sovereign AI solutions for European enterprises through SAP Sovereign Cloud.
Anthropic raises $30B Series G at $380B valuation; $14B run-rate revenue growing 10x annually.
Gemini 3 Deep Think updated for specialized reasoning in science, research, and engineering problem-solving.
Anthropic donates $20 million to Public First Action.
OpenAI releases GPT-5.3-Codex-Spark, a real-time coding model with 15x faster generation and 128k context, in research preview.