252 summarised stories about Google, each linking back to the original source. Browse all topics →
SiliconANGLE 4 weeks ago 6 ● 3 sources
Google expanded its experimental AI agent CC so a household can share one agent with up to six members. Up to six people can share the same CC instance, producing a daily brief, shared calendar and a running task list. The setup now adds member-by-member sharing permissions, a verified CC account identity, and a private/household memory split for what gets stored.
Google Research 4 weeks ago 18
Google says it is enabling teachers to generate custom interactive STEM learning simulations using a generative user interface approach with teacher-set objectives and AI-built scaffolding.
Ars Technica 4 weeks ago 40 ● 3 sources
Google announced an experimental CC AI agent for families that customizes actions across multiple household users. CC is designed for up to six users and has its own Google account for shared access controls. This shifts the Daily Brief concept into a shared, permissioned setup that can selectively access shared emails and a designated Google Drive folder.
TechCrunch 4 weeks ago 2 ● 6 sources
Emerald AI formed the AI Energy Management Alliance with Google, Nvidia, and Anthropic to use its grid software to expand where data centers can connect. It targets demand response measures that could add 100 gigawatts of additional data center capacity to the grid. The coalition aims to make utilities treat temporary load reductions as part of data center development, reducing reliance on backup generators but not removing the need for new power generation entirely.
MarkTechPost 4 weeks ago 35 ● 2 sources
Google Research introduced Retrieve-for-Train (R4T) to generate diverse retrieval result sets from one query instead of near-duplicate matches. The R4T diffusion retriever runs in 0.07 seconds at batch size 8, versus about 1.46 seconds for an autoregressive fan-out. R4T first learns retrieval fan-out with offline reinforcement learning and then deploys a 53.9M-parameter diffusion model for a single-pass, faster retrieval fan-out.
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15 October 2026
Meta used today’s open-weight model drop to make a point: “frontier” doesn’t have to stay in the datacenter. Muse Spark Open ships as an 816B multimodal model with a 1 million–token context window, paired with Muse Code for coding and agent-style workflows—and it comes with strings. The license is free for use and fine-tuning, but it adds revenue-linked conditions (including advance notice above $20 million) and asks developers to display “Built with Muse Spark Open.” Running locally is a hardware project in itself: Meta says you need about 1TB of RAM. Still, the rollout is broad—Meta is making it available via multiple API platforms for desktop-focused tasks, and now through Amazon SageMaker JumpStart for deploy-to-your-own-AWS-account use, including BF16 and a 4-bit NVFP4 variant.
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