Generative AI is a branch of artificial intelligence focused on creating new content such as text, images, music, or code based on patterns learned from existing data. It uses deep learning models – especially large language models (LLMs) and generative adversarial networks (GANs) – to produce outputs that closely resemble human-created work. These systems can draft articles, generate artwork, compose music, and even simulate voices or video, transforming industries from media and design to healthcare and education. The power of generative AI lies in its ability to synthesize creativity and automation, but it also raises ethical questions about authenticity, bias, and intellectual property. As the technology evolves, it continues to redefine how humans and machines collaborate in creative and professional tasks.
Nvidia has unveiled Kimodo, a motion diffusion model that generates high-quality human and robot movements from text and constraints using large-scale motion capture data.
Meta introduced four new in-house MTIA chips designed for AI training and inference as the company accelerates data center expansion. The chips aim to improve performance and reduce reliance on external hardware suppliers.
Google has rolled out Canvas in AI Mode to all U.S. users in English, enabling people to create documents, dashboards, and interactive tools directly within Search. The feature provides a dynamic workspace for planning projects and building simple applications.
Andrej Karpathy argues AI coding agents now fundamentally change programming workflows, enabling long-running autonomous tasks and redefining software engineering.
MSCI introduces AI connectors enabling access to its data via MSCI ONE, ChatGPT, and Claude, debuting IndexAI Insights to deliver conversational index analytics powered by large language models.
Anthropic unveils a revised Responsible Scaling Policy with a Frontier Safety Roadmap, regular Risk Reports, and clearer separation between company commitments and industry recommendations.
ŌURA unveils a proprietary large language model for women’s health, combining clinical research and biometric data to deliver personalized, privacy-first AI guidance through Oura Advisor.
Anthropic reveals industrial-scale campaigns by DeepSeek, Moonshot, and MiniMax to extract Claude’s capabilities via fraudulent accounts, highlighting national security and AI safety risks.
A former Citigroup executive says commercially available humanoid robots can now deliver a return on investment in under 10 weeks, potentially accelerating enterprise automation.
Former DeepMind researcher David Silver has raised $1 billion for London-based Ineffable Intelligence, aiming to build a superintelligence that learns autonomously through experience.