Google's AI platform Gemini is currently experiencing significant connectivity issues that prevent the smartphone application from responding to user commands. Reports of the outage began surfacing early on June 10, 2026, with users documenting the problems on social media platforms and outage tracking sites. While the mobile application is largely non-functional, the browser-based version of the chatbot remains operational for those requiring immediate access.

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Google has introduced DiffusionGemma, an experimental open model featuring 26 billion parameters designed for efficient text generation. Unlike traditional autoregressive models that predict one token at a time, this model utilizes a diffusion-based approach to process information. This architectural shift aims to significantly increase the speed of generating long-form content while maintaining high output quality.

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Google has launched Gemma 4 12B, a mid-sized open-source AI model designed to run locally on enterprise laptops with 16GB of RAM. This release bridges the gap between the smaller edge-focused models and larger high-performance versions by offering advanced reasoning in a compact footprint. The model is released under an Apache 2.0 license, making it accessible for diverse development environments and local inference pipelines.

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McDonald's has launched a pilot program for a new artificial intelligence system called ArchIQ at five locations across the United States. This voice-ordering technology, nicknamed "Archy," is capable of processing customer requests in multiple languages, including English and Spanish. The system is built on a multi-year partnership with Google Cloud and utilizes Google Edge Cloud hardware currently being installed across domestic restaurants.

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Google has released Gemma 4 12B, an open-weight AI model designed to run locally on consumer hardware with at least 16GB of RAM. This 12-billion parameter model is unique for its size because it natively processes text, images, and audio without requiring separate encoder modules. By utilizing an integrated architecture, the model allows standard notebooks to function as multimodal AI agents without relying on cloud-based processing.

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Google has entered into a significant infrastructure agreement to pay SpaceX $920 million monthly for access to specialized artificial intelligence computing resources. Starting in October 2026 and running through June 2029, the deal provides Google with approximately 110,000 Nvidia GPUs along with associated CPUs and memory components. These resources are housed within data centers originally established by xAI, the artificial intelligence venture that merged with SpaceX earlier this year.

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Google has launched Gemma 4 QAT, a series of open-weights models optimized for local execution on hardware with limited memory. These models utilize Quantization-Aware Training to simulate lower-precision calculations during the training phase, which preserves output quality even when the model files are heavily compressed. The release includes a 12B parameter version specifically designed to run on standard enterprise laptops equipped with 16GB of RAM or unified memory.

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