Gemini 4 Argon: Built to solve your hardest problems
Google AI has announced the release of Gemini 4 Argon, a new frontier model aimed at providing advanced solutions for various users including developers and enterprises.
Google AI has announced the release of Gemini 4 Argon, a new frontier model aimed at providing advanced solutions for various users including developers and enterprises.
Google released Gemini 4 Argon, saying it delivers frontier reasoning and outperforms rival models like GPT-6 Astra and Claude across several benchmarks.
Epic Games is moving to AI-accelerated development for an unannounced Disney game, directing staff to use tools like Anthropic's Claude for code and to generate all art via AI workflows.
Interactive chatbot startup Character.AI has filed for bankruptcy after five years and plans to sell some of its assets to Disney for $20 million.
NVIDIA introduces RTX Spark, a superchip-based PC platform offering up to 128GB of unified memory and 1 petaflop of AI compute, with a ready global PC app ecosystem.
An MIT Technology Review explainer examines whether the benefits of open AI models outweigh their risks, referencing an Anthropic report warning that GLM-5.3 poses a major cyberattack risk.
Companies in France are deploying agentic computing across industries including space, financial services, the public sector and scientific research, supported by national compute commitments made at recent summits.
Meta released Muse Wonder, its first frontier model. It is described as larger and more capable than the lightweight Muse Spark, with higher benchmark scores and better results on complex tasks like coding.
AWS explains how to access OpenAI GPT-6 Sol, Luna, and Astra on Amazon Bedrock through global cross-Region inference from Singapore, Jakarta, Thailand, Malaysia, and Taipei.
Meta has released two new AI models, Muse Wonder and Muse Wonder Full, available to Muse Code subscribers and, for Wonder, through the Meta Model API.
Microsoft Research presents StudentSim, a system that models how individuals may engage with AI tutors to evaluate and improve tutoring tools across subjects like chess, writing, and mathematics.
AWS describes how to run multi-node LLM inference on Amazon EKS using pre-built Ray LLM Deep Learning Containers, splitting prefill and decode across two GPU nodes behind one OpenAI-compatible endpoint.