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    <title>Google (Alphabet) — USASI news</title>
    <link>https://unitedstatesofamericasuperintelligence.com/companies/google/</link>
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    <description>Dated, sourced news items in the USASI catalog that mention Google (Alphabet). Independent project. Not a United States government website.</description>
    <language>en-us</language>
    <lastBuildDate>Wed, 21 Oct 2026 12:00:00 GMT</lastBuildDate>
    <item>
      <title>llm-d 1.0 released with flow control, router high availability and a v1 configuration API</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/llm-d-1-0-released/</link>
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      <pubDate>Tue, 20 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 20, 2026 llm-d project contributors announced llm-d 1.0, a release of the open distributed inference project that an IBM newsroom announcement says was founded in 2025 by Red Hat, IBM, Google Cloud, CoreWeave and NVIDIA and is now governed by the Cloud Native Computing Foundation (CNCF). The v1.0.0 release notes on GitHub list priority- and fairness-aware flow control with controlled load shedding, router high availability with hot standby and safe rolling updates, and the router configuration API graduating to v1. The notes also say the disaggregated prefill-decode guide now requires LeaderWorkerSet v0.11.1 or newer. The announcement says Google Cloud is integrating llm-d 1.0 into Google Kubernetes Engine; it does not give a date for the CNCF governance change. USASI has not tested this release.</description>
    </item>
    <item>
      <title>JAX 0.12.0 adds a proxy backend and removes jax.custom_remat</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/jax-0-12-0-released/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/jax-0-12-0-released/</guid>
      <pubDate>Wed, 21 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>The JAX project published JAX v0.12.0 on GitHub on October 19, 2026. The release notes list new features including jax.lax.polynomial for polynomial evaluation, jax.custom_vjp.defremat for customizing rematerialization, a registered proxy backend that connects to an IFRT Proxy server such as Pathways on Cloud, jax.sharding.no_collectives, and support for DLPack 1.0. Breaking changes listed include the removal of jax.custom_remat in favor of jax.custom_vjp.defremat, a requirement on x86-64 for an Intel Haswell or newer CPU with AVX2 and FMA support, and a minimum of NumPy 2.2. USASI has not tested this release.</description>
    </item>
    <item>
      <title>Google makes Gemini 4 Argon available to developers and to Google AI Pro and Ultra subscribers</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/google-makes-gemini-4-argon-available-to-developers-and-subscribers/</link>
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      <pubDate>Thu, 15 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 13, 2026 Google said developers can start building with Gemini 4 Argon on the paid tier of the Gemini API in Google AI Studio and Android Studio, and that Google AI Ultra subscribers can try the model in AI Studio and in Google Antigravity. A separate post the same day says Google AI Pro and Ultra subscribers can now access Gemini 4 Argon in the Gemini app; it does not list countries. Google first announced the model on September 30, 2026 with a limited rollout to cyber defenders. Neither post mentions released weights; access is through hosted products and the API. USASI has not tested Gemini 4 Argon.</description>
    </item>
    <item>
      <title>NVIDIA contributes Vera Rubin rack and compute tray designs to the Open Compute Project</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-contributes-vera-rubin-designs-to-ocp/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>governance</category>
      <description>In an October 12, 2026 blog post tied to the OCP Global Summit, NVIDIA said it contributed Vera Rubin rack and compute tray designs to the Open Compute Project through its MGX architecture. The post says NVIDIA joined AMD, Google, and Meta at OCP to publish a new open specification, and describes the Open Data Center Specification v0.7 as a blueprint for AI factory facility design. It says the OCP Grid Resilience Specification was published by Google, Meta, Microsoft, and NVIDIA, and that NVIDIA expanded DSX OS with open-source components for configuring networks and validating clusters, without naming a license for them. USASI has not reviewed the contributed designs or specifications.</description>
    </item>
    <item>
      <title>White House science summit lists industry partners in the Genesis Mission Consortium</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/white-house-science-summit-genesis-consortium-partners/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/white-house-science-summit-genesis-consortium-partners/</guid>
      <pubDate>Sun, 11 Oct 2026 12:00:00 GMT</pubDate>
      <category>policy</category>
      <description>On October 8, 2026 the White House published a fact sheet on science initiatives announced at its &quot;Science: A New Golden Age&quot; summit. It says eleven industry partners committed SI-for-science tools and compute credits to the Genesis Mission Consortium, and names NVIDIA, AMD, OpenAI, Anthropic, Google, AMP, Emerald AI, AWS, Armada, Crusoe, and Micron. The same fact sheet says NIH, DOE, and Biohub launched a virtual biology initiative to build data and models for virtual cells. The fact sheet describes announcements and commitments rather than an executive order.</description>
    </item>
    <item>
      <title>Google releases EmbeddingGemma 2, an open-weight multimodal embedding model under Apache 2.0</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/google-releases-embeddinggemma-2/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/google-releases-embeddinggemma-2/</guid>
      <pubDate>Wed, 07 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 6, 2026 Google announced EmbeddingGemma 2, a multimodal embedding model built on the Gemma 4 architecture. The announcement says the model maps text, code, images, video, and audio into a shared embedding space, contains 740 million parameters, and produces 768-dimensional vectors that can be truncated to 512, 256, or 128 dimensions using Matryoshka Representation Learning. Google says the weights are released under the Apache 2.0 license and are available on Hugging Face and Kaggle, with on-device variants in the LiteRT Community on Hugging Face. USASI has a release record for the earlier EmbeddingGemma 300M; a record for this release has not yet been added.</description>
    </item>
    <item>
      <title>Google announces Gemini 4 Argon, starting with a limited rollout to cyber defenders</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/google-announces-gemini-4-argon/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/google-announces-gemini-4-argon/</guid>
      <pubDate>Fri, 02 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>Google announced Gemini 4 Argon on September 30, 2026, describing it as a model for real-world coding, enterprise knowledge work, and cyber defense. Google says the model is rolling out first to a set of trusted cyber defenders through its Fairwind Program, and that it will make Argon available to developers, enterprises, and consumers later; the announcement gives no date for that wider availability. Google says the model's output token limit is 1 million tokens, up from 64K. The announcement does not mention published weights or a license.</description>
    </item>
    <item>
      <title>Google introduces WeatherNext 3, an hourly global weather model that uses live satellite data</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/google-introduces-weathernext-3/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On September 3, 2026 Google DeepMind and Google Research introduced WeatherNext 3, a global weather forecasting model that ingests live geostationary satellite data and produces a new forecast every hour. The announcement says it resolves some surface variables at 5-kilometer resolution, other surface variables at 10 kilometers, and atmospheric variables at 25 kilometers, and adds forecasts of 100-meter wind speeds and solar radiation for renewable energy planning. Google says WeatherNext 3 begins powering weather features in Search, the Gemini app, Google Maps, the Google Maps Platform Weather API, and Google Earth Engine, and that its forecast data can be queried in BigQuery and Earth Engine or downloaded in bulk from Google Cloud Storage. The announcement links to a paper and does not describe a release of model weights. USASI has not tested WeatherNext 3.</description>
    </item>
    <item>
      <title>Google releases Gemini 3.8 Flash and, for vetted defenders, Gemini 3.8 Flash Cyber</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/google-releases-gemini-3-8-flash-and-flash-cyber/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On September 2, 2026 Google introduced two Gemini 3.8 models, which it says share the same foundational intelligence: Gemini 3.8 Flash, which Google says improves on 3.7 Flash in software engineering, agentic tasks, and multi-step reasoning, and Gemini 3.8 Flash Cyber, a cybersecurity model for vulnerability detection and automated patching. Google says developers can use 3.8 Flash in the Gemini API through Google AI Studio and Android Studio, and that it is available to Google AI Pro and Ultra subscribers in the Gemini app. Gemini 3.8 Flash Cyber ships with more permissive cybersecurity mitigations and is offered only to trusted defenders through Google's new Fairwind Program. Both are hosted models; no release of weights is described. USASI has not tested them.</description>
    </item>
    <item>
      <title>Google releases TimesFM 3.0 weights under a non-commercial license</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/google-releases-timesfm-3-0-under-non-commercial-license/</link>
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      <pubDate>Tue, 29 Sep 2026 12:00:00 GMT</pubDate>
      <category>license</category>
      <description>Google Research released TimesFM 3.0, a time-series forecasting model, in August 2026 under the TimesFM Non-Commercial License v1.0 instead of the Apache 2.0 license used for earlier TimesFM weights. The license allows use of the weights only for non-commercial purposes and prohibits redistributing them; the repository says commercial and production use of TimesFM 3.0 is permitted through authorized Google Cloud services such as BigQuery ML. Weights up to version 2.5 and the TimesFM source code remain under Apache 2.0.</description>
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