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The Chinese AI laboratory is seeking a valuation of $74.4 billion as it scales infrastructure and pivots toward enterprise-grade agent automation.
The updated open-source platform streamlines the creation of physics-informed AI emulators for atmospheric research, reducing reliance on supercomputing resources.
A landmark ruling forces Meta to develop predictive age-inference models while imposing significant financial penalties for youth safety failures.
The new AI Cockpit system aims to replace manual touchscreen navigation with natural language processing and cloud-based intent recognition.
Abhishek Saxena’s work at Sentient targets the gap where open-source AI keeps losing: not capability, but economics—and his answer is infrastructure that automatically pays builders, maintainers, and evaluators every time their artifact is used, enforced by smart contracts rather than legal goodwill. By combining cryptographic fingerprinting, on-chain attribution, and grant funding with no equity attached, Sentient is building the coordination layer that would make open-source development financially rational enough to compete with a corporate salary.
Icelandic authors report sophisticated, AI-generated outreach campaigns that suggest unauthorized ingestion of copyrighted manuscripts into large language models.
The company is shuttering its Atlas browser experiment to focus on embedding agentic capabilities directly into the ChatGPT Work platform.
A technical examination of how Adobe Firefly Boards synchronizes multi-format assets to streamline early-stage design production.
Amazon Web Services and Anduril Industries are integrating cloud-native AI with ruggedized edge hardware to support operations in disconnected or contested environments.
The latest release of the Hermes Agent framework allows developers to orchestrate multiple AI models into a single system to improve output quality and reduce reliance on individual providers.