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    <title>Speech, vision, and multimodal AI — USASI news</title>
    <link>https://unitedstatesofamericasuperintelligence.com/hubs/speech-vision-and-multimodal/</link>
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    <description>Dated, sourced news items about the organizations and records featured in the USASI Speech, vision, and multimodal AI hub. Independent project. Not a United States government website.</description>
    <language>en-us</language>
    <lastBuildDate>Tue, 13 Oct 2026 12:00:00 GMT</lastBuildDate>
    <item>
      <title>Meta releases Muse Wonder and Muse Wonder Full through its Model API and Muse Code</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/meta-releases-muse-wonder-and-muse-wonder-full/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 12, 2026 Meta announced two new models in its Muse family, Muse Wonder and Muse Wonder Full, which it says were built on the groundwork laid with Muse Spark. According to the announcement, Muse Wonder is available that day for developers and builders through the Meta Model API and Muse Code, and Muse Wonder Full is available to Muse Code subscribers. Meta says Muse Wonder will soon power experiences in Muse, rolling out first to subscribers. The announcement does not name a license or say that model weights are released, and USASI has not tested either model.</description>
    </item>
    <item>
      <title>NVIDIA and Cisco announce plans for USFP, a pluggable optics form factor, and an open specification</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-and-cisco-announce-usfp-optics-form-factor/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>governance</category>
      <description>On October 12, 2026 NVIDIA and Cisco announced plans for Ultra-Dense Small Form Factor Pluggable (USFP), an optical module form factor designed for 400Gb/s-per-lane electrical signals. The companies say they plan to create an open industry specification for USFP through an upcoming community-led multi-source project, and that they are working with TE Connectivity and Amphenol on USFP cages, connectors, and modules. The release describes the first USFP-based transceivers as planned and gives no availability date; the specification has not yet been published.</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>Meta publishes MetaEncoder-30B, a gated Apache 2.0 multimodal encoder for decision tasks</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/meta-releases-metaencoder-30b/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>Meta has published MetaEncoder-30B on Hugging Face as facebook/meta-encoder. The model card describes it as a multimodal bi-encoder, a &quot;Multimodal System One Encoder&quot;, in which both the task and each candidate are written in natural language, with text, images, and video usable on either side. The card says it was built by contrastively fine-tuning Muse-Glimmer-30B and is released under Apache 2.0, inherited from the base model, with use also subject to the base model's Usage Policy; the files can be downloaded only after accepting access conditions on Hugging Face. The accompanying paper was submitted to arXiv on October 8, 2026; the model card does not give a release date. USASI has not tested MetaEncoder-30B.</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>
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      <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>OpenAI releases Codex CLI 0.162.0 with managed Git worktree tools</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/codex-cli-0-162-0-released/</link>
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      <pubDate>Fri, 09 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 8, 2026 OpenAI published version 0.162.0 of its open-source Codex CLI on GitHub. The release notes add tools for creating and listing managed Git worktrees from trusted local projects when the worktrees feature is enabled, and add task pinning in the agent Command Center with the p key. They also say live web access and remote compaction can be configured for custom Responses-compatible model providers, and that a signed PowerShell installer is now published with Windows releases. USASI has not tested these changes.</description>
    </item>
    <item>
      <title>Ai2's Bolmo byte-level language model research is published in Nature, with new checkpoints</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/ai2-bolmo-research-published-in-nature/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>research</category>
      <description>Ai2 said on October 7, 2026 that the research behind Bolmo, its family of fully open byte-level language models introduced the previous December, has been published in Nature. Ai2 writes that the paper applies the same &quot;byteifying&quot; process to Qwen 3 8B and Llama 3 8B to create two new byte-level models, Bwen 8B and Blama 8B, and that it is releasing new checkpoints, including Stage 1 checkpoints, on Hugging Face. The Bwen 8B model card describes it as Qwen3 8B Base retrofitted to operate over bytes instead of tokens and lists the Apache 2.0 license. USASI has not tested these models.</description>
    </item>
    <item>
      <title>OpenAI releases Codex CLI 0.161.0 with GPT-6.1 Sol as the default model</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/codex-cli-0-161-0-released/</link>
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      <pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 7, 2026 OpenAI published version 0.161.0 of its open-source Codex CLI on GitHub. The release notes say GPT-6.1 Sol is now the default model in the bundled and Amazon Bedrock catalogs, and that Amazon Bedrock supports multi-agent V2 and Ultra reasoning on compatible models. The notes also add a /mcp login &lt;name&gt; command for signing in to MCP servers from an active terminal session, and make Daybreak opt-in through --enable cli_daybreak. USASI has not tested these changes.</description>
    </item>
    <item>
      <title>Diffusers 0.41.0 adds a Qwen-Image 2.1 pipeline and deprecates ONNX support</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/diffusers-0-41-0-released/</link>
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      <pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 6, 2026 Hugging Face published Diffusers 0.41.0 on GitHub. The release notes say it adds Qwen-Image 2.1, with text-to-image generation, image editing, native transparency, and LoRA training, and introduces tensor-parallel checkpoint loading in which each rank reads its own slice of sharded weights. The notes deprecate ONNX support in favor of Optimum and remove previously deprecated APIs, including the LuminaText2ImgPipeline and Lumina2Text2ImgPipeline aliases. They also say minor releases will now be coordinated around new model integrations, as in Transformers. Qwen-Image 2.1 is a third-party model and is not a catalog entry; the notes do not state its license.</description>
    </item>
    <item>
      <title>Ai2 open-sources AstaBrief 8B, a model for writing cited scientific reports</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/ai2-open-sources-astabrief-8b/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/ai2-open-sources-astabrief-8b/</guid>
      <pubDate>Sun, 04 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 2, 2026 Ai2 announced that it is open-sourcing AstaBrief 8B, a model that turns a research question and retrieved literature excerpts into a cited report, along with its training data. Ai2 says the model was built from Qwen3-8B using supervised fine-tuning and direct preference optimization, and that it is available as Fast mode in the &quot;Generate a report&quot; feature of Asta, its platform for scientific work. The Hugging Face model card lists the Apache 2.0 license. Ai2 notes that most of the training and evaluation was completed in 2025 and that it has not rerun the full evaluation against today's frontier models.</description>
    </item>
    <item>
      <title>Ai2 releases OLMo-core 3, its open training library, with mixture-of-experts support</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/ai2-releases-olmo-core-3/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/ai2-releases-olmo-core-3/</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>Ai2 released version 3 of OLMo-core, the PyTorch training library behind its Olmo models, on October 1, 2026. The release redesigns the library's mixture-of-experts training system, adding expert and pipeline parallelism, a distributed optimizer, grouped matrix multiplication for experts, and support for the MXFP8 number format; Ai2 says it is designed to scale mixture-of-experts training into the trillion-parameter range. The code is licensed under Apache 2.0, and the repository includes Ai2's official training scripts for Olmo 3.</description>
    </item>
    <item>
      <title>OpenAI publishes MCP Extensions, a specification and SDKs for ChatGPT plugins, under Apache 2.0</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/openai-releases-mcp-extensions/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On September 29, 2026 OpenAI published the first releases, version 0.1.0, of the Python and Node SDKs for OpenAI MCP Extensions, a project that adds ChatGPT-specific capabilities to the Model Context Protocol so that plugins can work like native ChatGPT features. The repository's README highlights sidebar entrypoints, file extension handlers, composer mentions, and extended forms, and says the project is licensed under Apache 2.0. Version 0.2.0, released on October 10, 2026, adds editable chat drafts and forms that continue across multiple exchanges, and migrates the TypeScript server helpers to MCP SDK 2. The extensions take effect in ChatGPT, OpenAI's hosted product. USASI has not tested the SDKs.</description>
    </item>
    <item>
      <title>NVIDIA releases Kumo Tabular, an open-weight model for predictions on tables</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-kumo-tabular/</link>
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      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA published Kumo Tabular on September 29, 2026: a pretrained model for classification and regression on tabular data that takes labeled example rows as context and predicts values for new rows without task-specific training. It comes in three sizes, from 28 million to 215 million parameters, and NVIDIA says it was pretrained entirely on artificial tables. The weights are on Hugging Face under the OpenMDW-1.1 license, and inference runs through NVIDIA's open-source structured-data-models library.</description>
    </item>
    <item>
      <title>OpenAI adds GPT-6.1 Sol to its API</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/openai-releases-gpt-6-1-sol-in-api/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/openai-releases-gpt-6-1-sol-in-api/</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>OpenAI's API changelog lists GPT-6.1 Sol (model ID gpt-6.1-sol) as released on September 29, 2026, describing it as a model for complex coding and professional work at a lower cost than GPT-6 Astra. The changelog says it is available through the Responses and Chat Completions endpoints. Separate changelog entries on the same date add computer use to the Agents API and an Ultrafast mode for GPT-6 Astra in the Responses API. GPT-6.1 Sol is a hosted model; OpenAI has not published its weights.</description>
    </item>
    <item>
      <title>NVIDIA launches Open Agent Safety Platform, pairing open-source OpenShell with a Sentry reference design</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-launches-open-agent-safety-platform/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-launches-open-agent-safety-platform/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA announced the NVIDIA Open Agent Safety Platform on September 28, 2026, describing it as an open software platform and reference system design to strengthen AI security from agent testing to deployment. It consists of NVIDIA OpenShell, open-source runtime software that traces agent actions and enforces policy, and NVIDIA Sentry, a reference design for an out-of-band watchdog that runs on BlueField-4 DPUs and can quarantine agents that attempt to move outside their boundaries. NVIDIA says the platform software, including OpenShell and skills, is available through its developer resources page and GitHub, and describes Sentry as built on NVIDIA DOCA software. USASI has not tested OpenShell.</description>
    </item>
    <item>
      <title>NVIDIA releases Nemotron 3 Diarization, an open-weight speaker diarization model</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-diarization/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-diarization/</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA released Nemotron 3 Diarization on September 23, 2026. The model identifies which speaker is talking at each point in an audio recording, for up to eight speakers, and can run on streaming audio as well as complete recordings. It is a Transformer encoder with about 100 million parameters, built with NVIDIA's NeMo speech tools. The weights are on Hugging Face under the OpenMDW License Agreement, version 1.1, and the model card says they are ready for commercial and non-commercial use.</description>
    </item>
    <item>
      <title>OpenAI releases GPT-6 Sol and GPT-6 Luna in its API</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/openai-releases-gpt-6-sol-and-gpt-6-luna/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/openai-releases-gpt-6-sol-and-gpt-6-luna/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On September 22, 2026 OpenAI released GPT-6 Sol (gpt-6-sol) and GPT-6 Luna (gpt-6-luna), according to its API changelog, which describes them as reasoning models that accept text and image inputs and generate text through the Responses and Chat Completions APIs. OpenAI's announcement, as listed in its news feed, presents them as two models with different balances of capability and cost. In a separate changelog entry dated September 25, OpenAI says it fixed a bug in image encoding that degraded image understanding in both models, and recommends rerunning evaluations for use cases with image inputs. Both are hosted models; no release of weights is described. USASI has not tested them.</description>
    </item>
    <item>
      <title>NVIDIA Dynamo 1.5.0 adds custom worker-selection policies and deprecates KVBM</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-dynamo-1-5-0-released/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-dynamo-1-5-0-released/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA published Dynamo v1.5.0, a feature release of its open-source distributed inference platform, on GitHub on September 21, 2026. The release notes say worker selection in Dynamo Router is now pluggable through custom scoring and picking policies, and that KV indexing extends to Mooncake and disk tiers. KVBM is deprecated, with removal targeted for v1.7.0. On Kubernetes, nvidia.com/v1beta1 becomes the CRD storage version, the Rust Endpoint Picker replaces the Go version, and Dynamo Snapshot moves to a standalone operator. The notes list SGLang v0.5.18, TensorRT-LLM v1.3.0rc25 and vLLM v0.28.0 as the engine versions. USASI has not tested this release.</description>
    </item>
    <item>
      <title>Isaac Lab 3.0 Early Access published with multi-backend physics and kit-less workflows</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/isaac-lab-3-0-early-access-released/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/isaac-lab-3-0-early-access-released/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>The Isaac Lab project published Isaac Lab 3.0 Early Access on GitHub on September 16, 2026. The release notes describe a multi-backend architecture in which supported tasks can switch physics, rendering or visualization backends without rewriting the environment, and say many workflows can now run without installing or launching Isaac Sim, for example with Newton physics. The release is built for Isaac Sim 6.1, Python 3.12, PyTorch 2.11, NVIDIA Warp 1.16 and Newton 1.5.2. Between Early Access and General Availability, which is targeted toward the end of October 2026, the release branch will focus only on bug fixes, stability, compatibility and documentation improvements. USASI has not tested this release.</description>
    </item>
    <item>
      <title>Salesforce and NVIDIA announce Koa, a CRM reasoning model post-trained from NVIDIA Nemotron 3 Super</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/salesforce-announces-koa-crm-reasoning-model/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/salesforce-announces-koa-crm-reasoning-model/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On September 15, 2026 Salesforce and NVIDIA announced Koa, which it calls its first CRM reasoning model, built to help Agentforce agents reason through multistep workflows and use the right tools. Salesforce says Koa is a post-trained version of NVIDIA Nemotron 3 Super, trained with supervised fine-tuning and reinforcement learning on a proprietary synthetic dataset, and that no customer data was used in training. Koa is available to select pilot customers in Agentforce, with general availability expected in winter 2026 in U.S. regions. Salesforce says it controls the model weights and runs Koa within its own infrastructure as a Salesforce-hosted option; the announcement does not say that the weights will be released. USASI has not tested Koa.</description>
    </item>
    <item>
      <title>NVIDIA adds CUDA-Q Logical, a fault-tolerant quantum orchestration layer, to open-source CUDA-Q</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-adds-cuda-q-logical-to-cuda-q/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-adds-cuda-q-logical-to-cuda-q/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA announced on September 14, 2026 that its open-source CUDA-Q platform now includes CUDA-Q Logical, an orchestration layer for designing and testing applications for fault-tolerant quantum computers that use logical qubits. NVIDIA says CUDA-Q Logical is available through GitHub. The announcement also says that QUOPS, a cross-platform benchmark developed by Sandia National Laboratories to measure progress toward utility-scale quantum applications, has a reference implementation available in CUDA-Q. USASI has not tested CUDA-Q Logical.</description>
    </item>
    <item>
      <title>The NVIDIA-founded Open Secure AI Alliance moves to the Linux Foundation</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/open-secure-ai-alliance-joins-linux-foundation/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/open-secure-ai-alliance-joins-linux-foundation/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>governance</category>
      <description>The Linux Foundation announced on September 14, 2026 that the Open Secure AI Alliance, which NVIDIA established in collaboration with members including the Linux Foundation, has joined the Linux Foundation as a neutral home. The announcement says the alliance's work will run alongside existing Linux Foundation security communities, including the Open Source Security Foundation (OpenSSF). It names the Shared AI Findings Exchange (SAFE), an effort to collect and analyze findings from AI security incidents, as a core initiative, and invited contributions to the SAFE proposal until September 21.</description>
    </item>
    <item>
      <title>OpenAI releases GPT-6 Astra in its API</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/openai-releases-gpt-6-astra/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/openai-releases-gpt-6-astra/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>OpenAI's API changelog records the release of GPT-6 Astra (gpt-6-astra) on September 3, 2026, for the Responses and Chat Completions endpoints, and says to use it for reasoning, coding, computer use, research, and document creation. The migration notes say GPT-6 Astra does not support the none reasoning effort level, custom temperature or top_p values, or log probabilities, and that tool calling requires the Responses API. The entry also says misalignment monitoring asynchronously checks for potential issues during agent work in supported Responses API requests, and can trigger safety alerts or stop a conversation for review. In a safety overview listed in its news feed the same day, OpenAI says GPT-6 Astra is its first model to reach the Critical level of cybersecurity capability under its Preparedness Framework. GPT-6 Astra is a hosted model; no release of weights is described. USASI has not tested it.</description>
    </item>
    <item>
      <title>NVIDIA agrees to acquire Hugging Face; the deal has not yet closed</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-agrees-to-acquire-hugging-face/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-agrees-to-acquire-hugging-face/</guid>
      <pubDate>Tue, 29 Sep 2026 12:00:00 GMT</pubDate>
      <category>acquisition</category>
      <description>NVIDIA entered into a definitive agreement to acquire Hugging Face, Inc. on September 2, 2026, and announced it the next day. NVIDIA's Form 8-K says the transaction is expected to close in the first half of 2027, subject to closing conditions including regulatory approvals, so Hugging Face is still listed as a privately held company with no parent organization. NVIDIA says the Hugging Face platform will stay open to models from other developers and will not require NVIDIA hardware.</description>
    </item>
    <item>
      <title>Ai2 releases BenchMIRT, a method, code, and data for auditing LLM benchmarks prompt by prompt</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/ai2-releases-benchmirt/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/ai2-releases-benchmirt/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>research</category>
      <description>Ai2 introduced BenchMIRT on September 1, 2026, describing it as a method for auditing LLM benchmarks at the level of individual prompts. According to Ai2, it uses multidimensional Item Response Theory to estimate which underlying capabilities are most closely associated with getting each question right. Ai2 published a technical report, code on GitHub, and data in a Hugging Face collection. The post does not state a license. USASI has not tested this method.</description>
    </item>
    <item>
      <title>NVIDIA releases CUDA Python 1.0 with semantic versioning commitments</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-cuda-python-1-0/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-cuda-python-1-0/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA announced CUDA Python 1.0 on its technical blog on August 25, 2026, saying it released the milestone with CUDA 13.3 and that Python is now a supported way to use the CUDA platform. The post says 1.0 is a milestone rather than a single package version: components such as cuda.core 1.0.0, cuda.compute 1.0.0 and nvmath-python 1.0 are versioned independently, and what changes with 1.0 is a commitment to semantic versioning. NVIDIA notes that some newer pieces, including the Numba CUDA MLIR kernel generator, are not yet covered by that commitment. USASI has not tested these libraries.</description>
    </item>
    <item>
      <title>NVIDIA releases Nemotron 3.5 Lightning, an open 30B mixture-of-experts model for agents</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-5-lightning/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-5-lightning/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA's Hugging Face model card gives August 11, 2026 as the release date of NVIDIA-Nemotron-3.5-Lightning-30B-A3B, a model with 30B total and 3B active parameters built on a hybrid of Mamba-2, mixture-of-experts and attention layers, with reasoning that can be switched on or off through the chat template. The card lists the OpenMDW License Agreement, version 1.1, and points to a separate NVFP4 checkpoint for optimized inference. NVIDIA's developer blog says the model is designed for the high-volume execution work of long-running agents, ships with DFlash and DSpark draft models for speculative decoding, and is released with an open reinforcement learning dataset, Nemotron-RL Agentic Terminal Pivot. USASI has not tested the model.</description>
    </item>
    <item>
      <title>NVIDIA releases NeMo Speech 3.0, the first major release after the NeMo repository split</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-nemo-speech-3-0-released/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-nemo-speech-3-0-released/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA published NeMo Speech 3.0 on GitHub on August 7, 2026. The release notes call it the first major release after the repository was split and renamed to NVIDIA-NeMo/Speech, which now focuses on ASR, TTS, audio processing, speaker tasks and SpeechLM, while LLM, VLM, diffusion, export and evaluator collections have moved to separate repositories. The notes say the release's central focus is technical debt, including the removal of deprecated code and a migration to the uv package manager. They also list support for training SpeechLM models with NeMo Automodel and the training and evaluation modules behind Nemotron VoiceChat. USASI has not tested this release.</description>
    </item>
    <item>
      <title>Agent Plugins 1.0.0 published as an open specification for packaging agent skills and MCP servers</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/agent-plugins-1-0-0-specification-published/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/agent-plugins-1-0-0-specification-published/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>governance</category>
      <description>On August 6, 2026 Vercel announced Agent Plugins 1.0.0, an open, vendor-neutral specification for packaging extensions for AI agents so that one plugin format works across compatible clients. A plugin is a directory with a plugin.json manifest and fixed locations for its components, with Agent Skills under skills/ and MCP server configuration in mcp.json. Vercel says it initiated the proposal, that representatives from AWS, Anysphere, GitHub, Microsoft, OpenAI, and Vercel refined it into version 1.0.0, and that the initial Technical Steering Committee includes core maintainers from AWS, Cursor, Microsoft, OpenAI, and Vercel. ChatGPT and Codex, Cursor, GitHub Copilot, Kiro, and VS Code are listed as supported at launch.</description>
    </item>
    <item>
      <title>Faiss 1.15.0 adds a Metal IVF-PQ index, EDEN quantizer indexes, and a cuVS IVF-SQ backend</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/faiss-1-15-0-released/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/faiss-1-15-0-released/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>Meta's Faiss project published version 1.15.0 on GitHub on August 3, 2026; the changelog in the release dates the version July 31, 2026. Additions listed in the notes include MetalIndexIVFPQ with product quantization and residual encoding, EDEN quantizer indexes, a cuVS IVF-SQ backend, multi-GPU CAGRA-to-HNSW builds, memory-mapped I/O for Flat and static Vamana SVS indices, and RISC-V RVV distance and RaBitQ kernels. The notes also list faiss-gpu-cuvs pip wheel packaging and optimizations to RaBitQ fast scan and HNSW search. USASI has not tested these changes.</description>
    </item>
    <item>
      <title>Meta releases Muse Glimmer as an open-weight model under Apache 2.0</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/meta-releases-muse-glimmer-open-weights/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/meta-releases-muse-glimmer-open-weights/</guid>
      <pubDate>Tue, 29 Sep 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>In August 2026 Meta Superintelligence Labs published Muse Glimmer, a model of about 30 billion parameters that takes text and images as input and was distilled from Muse Spark. Its weights can be downloaded from Hugging Face without an access request under the Apache 2.0 license, and the repository also includes a separate Muse Glimmer Usage Policy that lists prohibited uses. Muse Glimmer has its own release record under the Muse family.</description>
    </item>
    <item>
      <title>NVIDIA and inaugural partners launch the Open Secure AI Alliance for open AI security tools</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-launches-open-secure-ai-alliance/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-launches-open-secure-ai-alliance/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>governance</category>
      <description>NVIDIA announced the Open Secure AI Alliance on July 27, 2026, describing it as an effort to develop and share open technologies, techniques and tools to safeguard software and AI agents. The inaugural partners NVIDIA lists include Cisco, Dell Technologies, HPE, Intel, Anyscale, Crusoe, Fireworks AI and the Linux Foundation, and NVIDIA says the alliance builds on the Linux Foundation's Akrites initiative and OpenSSF community work. NVIDIA says it is contributing open models, model weights, data and agent harness research, and that its open-source NVIDIA Labs Object-Oriented Agent (NOOA) research framework is available on GitHub. NVIDIA also names HPE's contributions to the SPIFFE/SPIRE identity framework among the alliance's work.</description>
    </item>
    <item>
      <title>NVIDIA releases Cosmos3-Edge, a 4B omnimodal world model, under OpenMDW-1.1</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-cosmos-3-edge/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-cosmos-3-edge/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA's Hugging Face model card gives July 20, 2026 as the release date of Cosmos3-Edge, a 4B-parameter model in the Cosmos3 collection, on both Hugging Face and GitHub. The card describes Cosmos3 as omnimodal world models built on a Mixture-of-Transformers architecture that take text, image, video and action-trajectory inputs and generate text, images, video and action outputs for physical AI uses such as robotics and autonomous vehicles. The model is released under OpenMDW-1.1 and is described as ready for commercial and non-commercial use. A note on the card says the generator checkpoint and runtime defaults were updated on August 25, 2026. USASI has not tested the model.</description>
    </item>
    <item>
      <title>NVIDIA releases Nemotron 3 Embed multilingual text embedding models in 1B and 8B sizes</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-embed/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-embed/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>NVIDIA's Hugging Face model cards give July 16, 2026 as the release date of Nemotron-3-Embed-8B-BF16 and Nemotron-3-Embed-1B-BF16, text embedding models for retrieval and semantic similarity in retrieval-augmented generation systems. The cards say the models were evaluated across 34 languages and output 4096-dimensional (8B) and 2048-dimensional (1B) vectors that can be shortened by slicing and re-normalizing. Both are licensed under OpenMDW-1.1, and the 8B card says it is built with Mistral AI's Ministral-3-8B-Instruct-2512, released under Apache 2.0. USASI has not tested the models.</description>
    </item>
    <item>
      <title>Meta releases Muse Spark 1.1 and opens the Meta Model API in public preview</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/meta-releases-muse-spark-1-1-and-meta-model-api/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/meta-releases-muse-spark-1-1-and-meta-model-api/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On July 9, 2026 Meta Superintelligence Labs introduced Muse Spark 1.1, which the announcement describes as a multimodal reasoning model built for agentic tasks and an upgrade over Muse Spark. Meta says the model is available in &quot;Thinking&quot; mode in the Meta AI app and on meta.ai, and that developers can reach it through the Meta Model API, which the post introduces as a public preview. The post lists a 1-million-token context window, computer use across multiple applications, and the ability to work as a main agent that delegates to parallel subagents. It does not say that the weights are released or give license terms. USASI has not tested Muse Spark 1.1.</description>
    </item>
    <item>
      <title>OpenAI releases the GPT-5.6 model family, GPT-5.6 Sol, Terra, and Luna, in its API</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/openai-releases-gpt-5-6-model-family/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/openai-releases-gpt-5-6-model-family/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>OpenAI's API changelog records that on July 9, 2026 it released the GPT-5.6 model family: GPT-5.6 Sol for frontier capability, GPT-5.6 Terra for a balance of intelligence and cost, and GPT-5.6 Luna for efficient, high-volume workloads. The entry says the gpt-5.6 alias routes requests to gpt-5.6-sol, and it lists the Responses, Chat Completions, and Batch endpoints. It also says GPT-5.6 adds Programmatic Tool Calling, explicit prompt caching controls, persisted reasoning, max reasoning effort, and Pro mode, with Multi-agent orchestration in beta for the Responses API. The changelog describes hosted models offered through OpenAI's API; it does not describe a release of model weights. USASI has not tested these models.</description>
    </item>
    <item>
      <title>Meta launches Muse Image and previews Muse Video, its first Superintelligence Labs media models</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/meta-launches-muse-image-and-previews-muse-video/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/meta-launches-muse-image-and-previews-muse-video/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On July 7, 2026 Meta Superintelligence Labs launched Muse Image, an image generation model that can edit images, compose from multiple references, and use tools, and previewed Muse Video, which Meta says is built on the same pretraining base as Muse Image and supports native audio. Meta describes them as the first media generation models developed by Meta Superintelligence Labs. Muse Image is available in the Meta AI app and on meta.ai, in Instagram Stories in the U.S., and in WhatsApp in a limited set of countries, while Muse Video is described as coming soon, without a date. Meta says Muse Image outputs in the Meta AI app and on meta.ai include Content Seal, an invisible watermark; the post does not mention an API, open weights, or a license. USASI has not tested either model.</description>
    </item>
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