https://unitedstatesofamericasuperintelligence.com/new/ Organizations and open models or tools added to the USASI catalog, news items, and projects, models, and datasets new in the AI on GitHub and AI on Hugging Face rankings, over the last seven days. Independent project. Not a United States government website. en-us Mon, 19 Oct 2026 12:00:00 GMT https://unitedstatesofamericasuperintelligence.com/news/vllm-0-32-0-released/ https://unitedstatesofamericasuperintelligence.com/news/vllm-0-32-0-released/ Mon, 19 Oct 2026 12:00:00 GMT News On October 18, 2026 the vLLM project published version 0.32.0 on GitHub. The release notes highlight a new POST /v1/systemone endpoint that answers choice, noul and score questions over a structured state, and a new hf tool and reasoning parser that reads a checkpoint's response_template so models that ship it need no model-specific parser. The notes also describe NVFP4 KV cache support on more GPU architectures and new model support, including EmbeddingGemma 2, MiniCPM-V 4.7 and Nemotron 3.5 ASR. Under security, they list fixes for three advisories and say CORS no longer allows every origin by default; breaking changes include dropping Python 3.10 and removing cascade attention. USASI has not tested any of these changes. https://unitedstatesofamericasuperintelligence.com/news/github-makes-open-source-license-compliance-generally-available/ https://unitedstatesofamericasuperintelligence.com/news/github-makes-open-source-license-compliance-generally-available/ Sun, 18 Oct 2026 12:00:00 GMT News In an October 16, 2026 changelog entry, GitHub said open source license compliance is generally available for GitHub Enterprise Cloud customers, including data-resident GHEC, for repositories with GitHub Code Security enabled. GitHub says the feature adds an enterprise-wide license policy, activated through a ruleset with a new "Require license compliance results before merging" condition, and that pull requests adding or modifying dependencies are annotated for each noncompliant dependency. Since the June public preview, GitHub says it has added license data for data residency customers, audit log events for policy changes, and API endpoints for managing the policy and for checking whether packages comply with it, which it says lets coding agents avoid recommending packages that violate an organization's policy. https://unitedstatesofamericasuperintelligence.com/companies/ping-labs/ https://unitedstatesofamericasuperintelligence.com/companies/ping-labs/ Sun, 18 Oct 2026 12:00:00 GMT Organization Ping Labs (T3 Tools, Inc.), maker of T3 Code and T3 Chat. https://unitedstatesofamericasuperintelligence.com/open/t3-code/ https://unitedstatesofamericasuperintelligence.com/open/t3-code/ Sun, 18 Oct 2026 12:00:00 GMT Open model or tool T3 Code, MIT-licensed, maintained by T3 Tools, Inc. https://unitedstatesofamericasuperintelligence.com/news/github-makes-ai-scan-and-agentic-autofix-generally-available/ https://unitedstatesofamericasuperintelligence.com/news/github-makes-ai-scan-and-agentic-autofix-generally-available/ Sat, 17 Oct 2026 12:00:00 GMT News In an October 15, 2026 changelog entry, GitHub said code scanning AI Scan for pull requests is generally available; it looks for vulnerabilities in pull request changes for languages and frameworks CodeQL does not currently cover, such as PHP, Shell/Bash, Terraform (HCL), and Dockerfiles. GitHub says AI Scan findings are advisory, do not fail the code scanning check, and cannot block merges, and that a GitHub Copilot license is not required. In a separate October 15 entry, GitHub said agentic autofix for code scanning alerts is generally available for GitHub Code Security and GitHub Advanced Security customers on GitHub Enterprise Cloud: when an alert is assigned to Copilot, it proposes a fix, reruns CodeQL to confirm the alert is closed, and opens a draft pull request for review. https://unitedstatesofamericasuperintelligence.com/news/nist-caissi-nsa-cisa-publish-si-incident-response-practices/ https://unitedstatesofamericasuperintelligence.com/news/nist-caissi-nsa-cisa-publish-si-incident-response-practices/ Sat, 17 Oct 2026 12:00:00 GMT News On October 16, 2026 NIST's Center for Advancing Innovation and Standards for Super Intelligence (CAISSI), the National Security Agency's Super Intelligence Security Center, and the Cybersecurity and Infrastructure Security Agency published ten key practices for managing potential incidents during super intelligence (SI) training and evaluation. NIST describes the document as voluntary and says it focuses in particular on incidents in which SI agents take significant uninstructed actions that compromise operator policies, controls, or security measures. The practices are divided into five stages: preparation, detection, response, recovery, and reporting, and NIST says they are grounded in existing frameworks including NIST SP 800-61r3. NIST says further work on agentic SI training and evaluation will be considered in future phases. https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-5-super-vl-and-bolt/ https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-3-5-super-vl-and-bolt/ Sat, 17 Oct 2026 12:00:00 GMT News On October 15, 2026 NVIDIA released Nemotron 3.5 Super VL and Nemotron 3.5 Bolt 74B-A9B 24GB, and said a third model, Nemotron 3.5 Bolt E4B 4GB, is coming October 23. The Super VL model card lists 120B total and 12B active parameters, a context length of up to 1M tokens, and text, image, and video input with text output. The Bolt 74B-A9B 24GB model card describes a vision-language model with 74B total and 9B active parameters that uses a native 2-bit quantization to fit in 24GB of memory, with a context length of up to 256K tokens. Both model cards give a Hugging Face release date of October 15, 2026 and name the OpenMDW License Agreement, version 1.1 as the governing license. USASI has not tested these models. https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-labs-dory-1-0-4b/ https://unitedstatesofamericasuperintelligence.com/news/nvidia-releases-nemotron-labs-dory-1-0-4b/ Sat, 17 Oct 2026 12:00:00 GMT News NVIDIA published NVIDIA-Nemotron-Labs-Dory1.0-4B on Hugging Face with a model card that gives a release date of October 16, 2026 and the OpenMDW License Agreement, version 1.1 as its license. The card describes a 4B-parameter looped (latent-recurrent) language model that applies a shared block of layers repeatedly, so that a single checkpoint can serve different inference compute budgets by changing the loop count. It says the model was pre-trained natively in NVFP4 before continuing in BF16, supports up to 256K tokens of context, lists English as the supported language, and is available in BF16, MXFP8, NVFP4, and Q5_K_M formats. USASI has not tested this model. https://unitedstatesofamericasuperintelligence.com/news/reflection-ai-releases-beam-weights-apache-2-0/ https://unitedstatesofamericasuperintelligence.com/news/reflection-ai-releases-beam-weights-apache-2-0/ Sat, 17 Oct 2026 12:00:00 GMT News On October 16, 2026 Reflection AI said it had released the weights of Beam, which it calls its first open-weight model, on Hugging Face under an Apache 2.0 license. The Beam-1.0-501B-A23B model card lists the apache-2.0 license, describes a sparse mixture-of-experts model with 501B total and 23B active parameters and a 1M-token context window, says Beam takes text input and generates text output, and says it was developed predominantly for English. Reflection says the weights come in BF16, FP8, and NVFP4 formats along with a speculative decoding drafter model. USASI has not tested Beam. https://unitedstatesofamericasuperintelligence.com/news/ai2-releases-hiro-acev2-climate-downscaling-model/ https://unitedstatesofamericasuperintelligence.com/news/ai2-releases-hiro-acev2-climate-downscaling-model/ Fri, 16 Oct 2026 12:00:00 GMT News Ai2 announced HiRO-ACEv2 on October 14, 2026 as the newest update to its High Resolution Output Ai2 Climate Emulator system, pairing an updated ACE model with a new downscaling model, HiROv2. The model card describes HiROv2 as a diffusion model that generates 3 km precipitation, 10 m winds, and sea level pressure from coarse ACE output, and releases the ACE2S-X-SHiELD and HiROv2 checkpoints with inference configs under Apache 2.0 for research and educational use. The card says the model was not trained or tested outside 66S to 70N, is not expected to generalize to climates outside its 10-year training data, and that ACE2S-X-SHiELD is not suitable for weather forecasting. USASI has not tested this model. https://unitedstatesofamericasuperintelligence.com/news/anthropic-gives-metr-employee-like-access-for-risk-assessments/ https://unitedstatesofamericasuperintelligence.com/news/anthropic-gives-metr-employee-like-access-for-risk-assessments/ Fri, 16 Oct 2026 12:00:00 GMT News In an October 15, 2026 update on independent evaluators, Anthropic said it has begun giving a small team from METR employee-like access, with internal tools and systems roughly comparable to those of its own risk assessment teams, under enforceable agreements, and that METR will publish its risk assessments. Anthropic says it cannot veto publication but can require redactions limited to narrow, predefined categories such as customer data, privileged information, and model architectures, and that evaluators may say publicly whether redactions were justified. The post describes three tiers of evaluator access and says SecureBio is reviewing the chemical and biological weapons chapter of Anthropic's August Risk Report. These are Anthropic's own descriptions; the post does not include METR's assessments. https://unitedstatesofamericasuperintelligence.com/news/ibm-releases-granite-switch-4-1/ https://unitedstatesofamericasuperintelligence.com/news/ibm-releases-granite-switch-4-1/ Fri, 16 Oct 2026 12:00:00 GMT News IBM's Granite team published Granite Switch 4.1 in two sizes, granite-switch-4.1-8b and granite-switch-4.1-30b, whose model cards give a release date of October 14, 2026 and an Apache 2.0 license. The model cards describe each one as a modular model that composes a base model (granite-4.1-8b or granite-4.1-30b), multiple adapters, and an encoder so that chat, decision, safety-detection, and speech-to-text tasks are served from one endpoint. A Granite blog post on Hugging Face dated October 15, 2026 names the bundled parts as a Decision aLoRA, a Guardian aLoRA, and Granite-Speech-5.0-Turbo-CTC; the 8b model card says the speech component supports English only. USASI has not tested these models. https://unitedstatesofamericasuperintelligence.com/news/meta-releases-muse-spark-open-open-weight-model/ https://unitedstatesofamericasuperintelligence.com/news/meta-releases-muse-spark-open-open-weight-model/ Fri, 16 Oct 2026 12:00:00 GMT News On October 15, 2026 Meta released Muse Spark Open, which its developer blog describes as the open-weight version of Muse Spark, trained for long-horizon agentic work such as coding and customer service agents. The model card lists 816B total and 42B active parameters, a context window of 1M tokens, text, image, video, and audio input, and text output; BF16 and NVFP4 checkpoints are on Hugging Face, and downloading them requires accepting the license conditions and submitting an access form. The weights are released under the Muse Model License, which requires a visible "Built with Muse Spark Open" attribution, incorporates a Usage Policy, and requires some large API providers to sign a separate agreement with Meta; the license does not describe itself as open source. USASI has not tested this model. https://unitedstatesofamericasuperintelligence.com/companies/federal/ https://unitedstatesofamericasuperintelligence.com/companies/federal/ Fri, 16 Oct 2026 12:00:00 GMT Organization Parent catalog record for U.S. federal AI job listings from USAJOBS.gov. https://unitedstatesofamericasuperintelligence.com/news/anthropic-describes-election-safeguards-for-2026-us-midterms/ https://unitedstatesofamericasuperintelligence.com/news/anthropic-describes-election-safeguards-for-2026-us-midterms/ Thu, 15 Oct 2026 12:00:00 GMT News On October 14, 2026 Anthropic described its preparations for the 2026 U.S. midterm elections. It says Claude.ai continues to show a banner linking to TurboVote from Democracy Works for questions about registration, polling places, and election dates, that later this month it will draw official voting information from Democracy Works into responses in the United States, and that Claude will show up-to-date results on election night and in the following days. Anthropic also says it updated its Usage Policy's election rules, published a guide for campaigns, and added classifiers aimed at multi-step abuse such as fake social media accounts and news sites. It says the Institute for Strategic Dialogue and the McCain Institute tested these safeguards and found Claude could miss a malicious campaign spread across many harmless-looking requests. https://unitedstatesofamericasuperintelligence.com/news/anthropic-opens-singapore-office-and-signs-mou-with-singapore/ https://unitedstatesofamericasuperintelligence.com/news/anthropic-opens-singapore-office-and-signs-mou-with-singapore/ Thu, 15 Oct 2026 12:00:00 GMT News On October 14, 2026 Anthropic announced that it has opened an office in Singapore, which it describes as its fifth in the Asia-Pacific region. Anthropic co-founder Ben Mann and Kai Fong Chng, Permanent Secretary of Singapore's Ministry of Digital Development and Information, signed a memorandum of understanding on the sidelines of Singapore International Cyber Week. The announcement says the MOU covers cooperation on AI safety, security, and model evaluation, research on AI adoption and its effects, and responsible adoption across the public and private sectors, including technical exchanges with Singapore's AI safety and assurance institutions. An MOU sets out intended cooperation; the announcement does not describe binding commitments. https://unitedstatesofamericasuperintelligence.com/news/google-makes-gemini-4-argon-available-to-developers-and-subscribers/ https://unitedstatesofamericasuperintelligence.com/news/google-makes-gemini-4-argon-available-to-developers-and-subscribers/ Thu, 15 Oct 2026 12:00:00 GMT News 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. https://unitedstatesofamericasuperintelligence.com/news/liquid-ai-releases-lfm2-5-24b-a2b/ https://unitedstatesofamericasuperintelligence.com/news/liquid-ai-releases-lfm2-5-24b-a2b/ Thu, 15 Oct 2026 12:00:00 GMT News Liquid AI announced LFM2.5-24B-A2B on October 13, 2026, describing it as a reasoning model built for fast, private agents on-device and as the largest and final model in the LFM2.5 family. The release includes a base model (LFM2.5-24B-A2B-Base) and a post-trained model (LFM2.5-24B-A2B), published as open weights on Hugging Face. The model card lists 24.0B total parameters with 2.45B active per token and a context length of 131,072 tokens, and says the model is not recommended for knowledge-heavy tasks on its own. The weights are released under the LFM Open License v1.0. USASI has not tested this model. https://unitedstatesofamericasuperintelligence.com/news/agility-robotics-churchill-s4-declared-effective/ https://unitedstatesofamericasuperintelligence.com/news/agility-robotics-churchill-s4-declared-effective/ Thu, 15 Oct 2026 12:00:00 GMT News Agility Robotics said on October 13, 2026 that the SEC declared effective the Form S-4 registration statement for its proposed business combination with Churchill Capital Corp XI, a Nasdaq-listed blank check company. Churchill XI has set an extraordinary general meeting for November 2, 2026 to vote on the transaction, with a record date of September 14, 2026, and the companies expect the deal to close in November 2026. The transaction has not closed: it remains subject to approval by Churchill XI shareholders and other customary closing conditions. If it closes, the combined company is expected to trade on Nasdaq as AGLT. https://unitedstatesofamericasuperintelligence.com/news/agent-plugins-1-0-0-specification-published/ https://unitedstatesofamericasuperintelligence.com/news/agent-plugins-1-0-0-specification-published/ Tue, 13 Oct 2026 12:00:00 GMT News 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. https://unitedstatesofamericasuperintelligence.com/news/agility-robotics-unveils-digit-5/ https://unitedstatesofamericasuperintelligence.com/news/agility-robotics-unveils-digit-5/ Tue, 13 Oct 2026 12:00:00 GMT News Agility Robotics unveiled Digit 5, its next-generation humanoid robot, on September 15, 2026. Agility says Digit 5 continuously monitors for people and responds by autonomously avoiding, stopping, or assuming a seated position, with an independent safety controller overseeing those responses, so that it can work in close proximity to people without the physical safety barriers required by traditional automation. The company expects early access to begin in the first half of 2027 and general availability for manufacturing, warehouse, and distribution operators by the end of 2027. The press release carries forward-looking-statement disclosures for Agility's proposed business combination with Churchill Capital Corp XI. https://unitedstatesofamericasuperintelligence.com/news/ai2-releases-benchmirt/ https://unitedstatesofamericasuperintelligence.com/news/ai2-releases-benchmirt/ Tue, 13 Oct 2026 12:00:00 GMT News 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. https://unitedstatesofamericasuperintelligence.com/news/ai2-bolmo-research-published-in-nature/ https://unitedstatesofamericasuperintelligence.com/news/ai2-bolmo-research-published-in-nature/ Tue, 13 Oct 2026 12:00:00 GMT News 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 "byteifying" 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. https://unitedstatesofamericasuperintelligence.com/news/amazon-releases-alodlm-diffusion-language-models/ https://unitedstatesofamericasuperintelligence.com/news/amazon-releases-alodlm-diffusion-language-models/ Tue, 13 Oct 2026 12:00:00 GMT News Amazon has published ALoDLM-1.7B and ALoDLM-8B on Hugging Face, diffusion language models initialized from the corresponding Qwen3 backbones that generate text and code by repeatedly applying shared transformer layers and adaptively allocating computation across token positions. The model card says the weights are released under the Creative Commons Attribution-NonCommercial 4.0 license for non-commercial research, with code in the amazon-science/ALoDLM repository. The accompanying paper, "ALoDLM: Adaptively Looped Diffusion Language Models," was submitted to arXiv on October 3, 2026. USASI has not tested either model. https://unitedstatesofamericasuperintelligence.com/news/amd-agrees-to-acquire-taalas/ https://unitedstatesofamericasuperintelligence.com/news/amd-agrees-to-acquire-taalas/ Tue, 13 Oct 2026 12:00:00 GMT News AMD announced on August 6, 2026, that it has reached a definitive agreement to acquire Taalas, a company founded in 2023 and headquartered in Toronto that develops specialized silicon for AI inference. AMD says it plans to integrate Taalas' technology into its accelerator roadmap and to develop system-level solutions with AMD Instinct GPUs. The release says the acquisition is subject to customary closing conditions and regulatory approvals, and it does not give an expected closing date. USASI has not seen an announcement that the deal has closed. https://unitedstatesofamericasuperintelligence.com/news/amd-releases-instella-moe/ https://unitedstatesofamericasuperintelligence.com/news/amd-releases-instella-moe/ Tue, 13 Oct 2026 12:00:00 GMT News AMD introduced Instella-MoE in a ROCm blog post dated July 24, 2026: a mixture-of-experts language model with 16 billion total and 2.8 billion active parameters, trained from scratch on AMD Instinct MI300X and MI325X GPUs with the Primus and Miles frameworks. AMD says it is releasing model weights from every training stage, training configurations, data mixtures and code, and the Hugging Face checkpoints run from Instella-MoE-16B-A3B-Pretrain to the reinforcement-learning-tuned Instella-MoE-16B-A3B-Think. AMD calls the model fully open, but the model card says the models are licensed for academic and research purposes under a ResearchRAIL license and are released for research purposes only. USASI has not tested the models. https://unitedstatesofamericasuperintelligence.com/news/amd-releases-rocm-core-sdk-10-0/ https://unitedstatesofamericasuperintelligence.com/news/amd-releases-rocm-core-sdk-10-0/ Tue, 13 Oct 2026 12:00:00 GMT News AMD published ROCm Core SDK 10.0.0 on August 26, 2026, as a release in the TheRock repository, which the release notes say has been ROCm's build and release system since ROCm 7.14. The notes say the release focuses on AI inference, developer tooling and profiling, and that it enables support for PyTorch 2.13.0, JAX 0.11.0 and 0.10.2, vLLM 0.27.0, SGLang 0.5.15, TensorFlow 2.21, MIGraphX 2.17 and ONNX Runtime 1.27.0. HIP adds inclusive and exclusive scan APIs to its cooperative groups library. The AMD SMI library has breaking changes: its major version is now 27.0.0, so software linked against libamd_smi.so.26 must be relinked. USASI has not tested this release. https://unitedstatesofamericasuperintelligence.com/news/anduril-acquires-popoto-modem/ https://unitedstatesofamericasuperintelligence.com/news/anduril-acquires-popoto-modem/ Tue, 13 Oct 2026 12:00:00 GMT News Anduril announced on October 2, 2026 that it has acquired Popoto Modem, an underwater acoustics company based in Massachusetts. Anduril says Popoto Modem's acoustic communications technology enables persistent, multi-node mesh networking underwater, and that it has worked with the company for over a year, integrating its modems into Anduril maritime systems. Anduril's immediate priority is scaling integrations into its Copperhead family of autonomous underwater vehicles, and it says the acquisition lets it extend to subsea the integration its Lattice software provides for platforms above the waterline. The announcement does not disclose terms. https://unitedstatesofamericasuperintelligence.com/news/anthropic-releases-claude-fable-5-1-and-mythos-5-1/ https://unitedstatesofamericasuperintelligence.com/news/anthropic-releases-claude-fable-5-1-and-mythos-5-1/ Tue, 13 Oct 2026 12:00:00 GMT News Anthropic's release notes record that on September 1, 2026 it launched Claude Fable 5.1 (claude-fable-5-1), the successor to Claude Fable 5, alongside Claude Mythos 5.1 (claude-mythos-5-1) for Project Glasswing participants. Anthropic's announcement says the two are the same model with different levels of safeguards: Fable 5.1 is generally available, while Mythos 5.1 is offered only through trusted access programs for cybersecurity and life sciences work and is currently available only to a set of U.S. organizations. The release notes say text generated by both models carries Anthropic's text watermark, and the announcement says a watermark detection API is rolling out in private preview. Both are hosted models; no release of weights is described. USASI has not tested them. https://unitedstatesofamericasuperintelligence.com/news/anthropic-releases-claude-opus-5/ https://unitedstatesofamericasuperintelligence.com/news/anthropic-releases-claude-opus-5/ Tue, 13 Oct 2026 12:00:00 GMT News On July 24, 2026 Anthropic announced Claude Opus 5 and said it was available that day on all platforms, with the API model ID claude-opus-5. Anthropic's release notes say the model supports a 1M token context window and 128k max output tokens, is available on the Claude API, Amazon Bedrock, Claude Platform on AWS, Google Cloud, and Microsoft Foundry, and allows thinking to be disabled only at effort high or below, a breaking change from Claude Opus 4.8. The announcement says requests flagged by its cybersecurity classifiers in Claude.ai, Claude Code, and Claude Cowork fall back to Opus 4.8 by default, and it introduced two updates in beta: mid-conversation tool changes on the Claude Platform and automatic fallbacks on the API. Opus 5 is a hosted model; the announcement does not describe a release of weights. USASI has not tested it. https://unitedstatesofamericasuperintelligence.com/news/anthropic-releases-claude-opus-5-5/ https://unitedstatesofamericasuperintelligence.com/news/anthropic-releases-claude-opus-5-5/ Tue, 13 Oct 2026 12:00:00 GMT News On September 22, 2026 Anthropic introduced Claude Opus 5.5, which it calls the first model in its new Claude 5.5 family, and said it was available on all platforms with the API model ID claude-opus-5-5. Anthropic says external evaluators, including Frontier Design and METR, tested the model before release, and that because Opus 5.5 is comparable to Claude Mythos 5.1 in biology and cybersecurity, it is deployed with safeguards similar to those on Claude Fable 5.1. The release notes say thinking cannot be disabled on Opus 5.5 and that the tool_choice types any and tool return a 400 error. Anthropic later released Claude Sonnet 5.5 and Claude Haiku 5.5, which USASI covered separately. Opus 5.5 is a hosted model; no release of weights is described. USASI has not tested it. https://unitedstatesofamericasuperintelligence.com/news/apple-releases-lensvlm-9b/ https://unitedstatesofamericasuperintelligence.com/news/apple-releases-lensvlm-9b/ Tue, 13 Oct 2026 12:00:00 GMT News In September 2026 Apple published LensVLM-9B on Hugging Face, a 9B vision-language model that scans compressed images of text and selectively expands only the relevant pages to their uncompressed form through learned tools. The model card lists Qwen3.5-9B as the base model and says the model files, including Apple's modifications to the Qwen model, are provided under the Apple Machine Learning Research Model License, while the accompanying code in the apple-aiml-research/ml-lensvlm repository is under the Apple Sample Code License. The model accompanies the paper "LensVLM: Selective Context Expansion for Compressed Visual Representation of Text." USASI has not tested LensVLM-9B. https://unitedstatesofamericasuperintelligence.com/news/arc-institute-releases-pie-perturbation-model/ https://unitedstatesofamericasuperintelligence.com/news/arc-institute-releases-pie-perturbation-model/ Tue, 13 Oct 2026 12:00:00 GMT News On October 5, 2026, Arc Institute announced PIE ("Perturbation is Everything"), a model that predicts how cells respond to perturbations in contexts it has not seen by drawing on curated biological databases such as Cellosaurus, NCBI, Gene Ontology, DepMap, and PubChem. Arc says the full codebase, including training and evaluation pipelines, is on GitHub, with model checkpoints and processed datasets on Hugging Face and a bioRxiv preprint. The repository's README says PIE is released under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license, which allows non-commercial use with attribution. USASI has not tested PIE. https://unitedstatesofamericasuperintelligence.com/news/arc-prize-names-first-arc-agi-3-milestone-prize-winners/ https://unitedstatesofamericasuperintelligence.com/news/arc-prize-names-first-arc-agi-3-milestone-prize-winners/ Tue, 13 Oct 2026 12:00:00 GMT News On July 6, 2026, the ARC Prize Foundation announced the winners of the first ARC Prize 2026 milestone prize, which rewards mid-competition open-source solutions to the ARC-AGI-3 interactive reasoning benchmark; the first milestone period ran through June 30. The post names three winning submissions, including Tufa Labs' "The Duck," which plays the games by having a small open-source LLM write and run Python in a live REPL, and links each winner's Kaggle notebook. The second and final milestone prize was scheduled to end on September 30. https://unitedstatesofamericasuperintelligence.com/news/arcee-ai-and-doe-announce-genesis-science-1/ https://unitedstatesofamericasuperintelligence.com/news/arcee-ai-and-doe-announce-genesis-science-1/ Tue, 13 Oct 2026 12:00:00 GMT News Arcee AI wrote on July 22, 2026 that it and the U.S. Department of Energy had announced the development of Genesis-Science-1 (GS1), describing it as an open model for scientific research built with DOE and its national laboratories through the Genesis Mission. Arcee says GS1 is built on its next generation of Trinity models and will be a trillion-parameter-class language model. The weights have not been released: Arcee says GS1 will be released openly later in the year with the weights, a technical report, and public demonstrations. The post does not state a license. https://unitedstatesofamericasuperintelligence.com/news/biohub-esm-3-4-0-adds-esmc-and-esmfold2-support/ https://unitedstatesofamericasuperintelligence.com/news/biohub-esm-3-4-0-adds-esmc-and-esmfold2-support/ Tue, 13 Oct 2026 12:00:00 GMT News Biohub published version 3.4.0 of its esm Python package on August 27, 2026. The release notes say it adds full support for ESMC and ESMFold2, a test suite for both, and a compatibility layer for the Hugging Face ports of ESMC and ESMFold2, while maintaining support for legacy model weights. Biohub's Hugging Face organization hosts ESMC-6B-hf, whose model card describes ESMC as a protein language model, says the ESMC 6B model has 6 billion parameters, and says Biohub is releasing source code and model weights for ESMC 6B, ESMFold2, and ESMC sparse autoencoders. The repository README says the models are available under the MIT license. USASI has not tested this release. https://unitedstatesofamericasuperintelligence.com/news/cais-and-scale-ai-release-hle-diamond/ https://unitedstatesofamericasuperintelligence.com/news/cais-and-scale-ai-release-hle-diamond/ Tue, 13 Oct 2026 12:00:00 GMT News On September 22, 2026, the Center for AI Safety and Scale AI released HLE-Diamond, which the release notes describe as a refined subset of the Humanity's Last Exam (HLE) question collection, produced through a year-long process of cleaning and refinement with input from research communities. HLE-Diamond has 1,000 questions, split evenly into 500 reasoning and 500 knowledge questions, and is designed to be answered closed-book, with separate recommended settings for evaluations that use tools. The dataset is on Hugging Face as cais/hle-diamond, where the card lists an MIT license, requires agreeing to share contact information before access, and asks that the dataset not be publicly shared or re-uploaded. https://unitedstatesofamericasuperintelligence.com/news/cartesia-releases-ink-2/ https://unitedstatesofamericasuperintelligence.com/news/cartesia-releases-ink-2/ Tue, 13 Oct 2026 12:00:00 GMT News On July 9, 2026 Cartesia released Ink-2, a speech-to-text model built for real-time voice agents. The announcement says Ink-2 has built-in semantic endpointing that uses meaning rather than silence to decide when a speaker's turn is over, and that it natively emits turn.start, turn.eager_end, and turn.end events without an external voice activity detector. Cartesia also says it worked on recognizing structured entities such as phone numbers, email addresses, and dates. Ink-2 is available through Cartesia's playground and API and through LiveKit, Vapi, and Pipecat; the post does not describe a release of model weights. USASI has not tested Ink-2. https://unitedstatesofamericasuperintelligence.com/news/cartesia-releases-sonic-3-6/ https://unitedstatesofamericasuperintelligence.com/news/cartesia-releases-sonic-3-6/ Tue, 13 Oct 2026 12:00:00 GMT News On August 27, 2026 Cartesia announced Sonic-3.6, a text-to-speech model that it says arrived two months after Sonic-3.5 and is generally available in its playground and through its API. The announcement says Odia and Urdu are added as new languages. It also describes Hinglish support for switching between Hindi and English in a single generation, better accent retention for instant voice clones, and an optional locale field that controls how dates, times, and numbers are read. The post does not describe a release of model weights. USASI has not tested Sonic-3.6. https://unitedstatesofamericasuperintelligence.com/news/character-ai-begins-chapter-11-sale-process/ https://unitedstatesofamericasuperintelligence.com/news/character-ai-begins-chapter-11-sale-process/ Tue, 13 Oct 2026 12:00:00 GMT News Character.AI announced on its blog that it has initiated a voluntary Chapter 11 bankruptcy process to facilitate a court-supervised sale of the company. According to the case website of its claims and noticing agent, Character Technologies, Inc. d/b/a Character.AI filed a voluntary petition for relief under Chapter 11 on October 12, 2026, and the case is administered under Case No. 26-11603 in the United States Bankruptcy Court for the District of Delaware. The company says it hopes the sale process will yield a proposal that allows the platform to keep operating, that the platform will be wound down if no such bid is available, and that it currently expects the sale process to be complete by the end of November or perhaps early December 2026. It says the platform remains up and running at this time. The outcome of the sale is not yet known. https://unitedstatesofamericasuperintelligence.com/news/cisco-releases-antares-vulnerability-localization-models/ https://unitedstatesofamericasuperintelligence.com/news/cisco-releases-antares-vulnerability-localization-models/ Tue, 13 Oct 2026 12:00:00 GMT News Cisco introduced Antares on July 21, 2026, a family of security-focused small language models for finding which source files in a codebase are likely to contain a known vulnerability, and released Antares-350M and Antares-1B as open-weight models on Hugging Face. Cisco says the models start from a vulnerability description, search and read files in a repository, and output a ranked list of likely files along with the terminal exploration trace, and that they are not meant to replace the broader application security toolchain. The Antares-1B model card lists the Apache 2.0 license and says the model is built on IBM Granite 4.0 1B; downloading it requires accepting gated-access terms on Hugging Face. Cisco says an Antares-3B model is coming soon. USASI has not tested the models. https://unitedstatesofamericasuperintelligence.com/news/cline-introduces-cline-desktop/ https://unitedstatesofamericasuperintelligence.com/news/cline-introduces-cline-desktop/ Tue, 13 Oct 2026 12:00:00 GMT News Cline introduced Cline Desktop on September 14, 2026, describing it as an early version of its open-source app for open-weight models. The post says the app is a workspace for running agent sessions in parallel, scheduling recurring tasks, and extending agents through a Marketplace, and that it uses the same Cline harness, rebuilt around the Cline SDK. The beta is offered for Mac and Windows; the post says the Mac app is fully open source, like the extension and CLI. Sessions can be started in the CLI or extension and continued in the desktop app. USASI has not tested this app. https://unitedstatesofamericasuperintelligence.com/news/cloudflare-open-sources-cloudflare-os/ https://unitedstatesofamericasuperintelligence.com/news/cloudflare-open-sources-cloudflare-os/ Tue, 13 Oct 2026 12:00:00 GMT News On August 5, 2026 Cloudflare announced that it is open-sourcing a new version of Cloudflare OS, which it describes as an open platform for agents, apps, and work that combines an agent workspace, a security and governance framework, and a platform for modifiable apps. The core code is in the cloudflare/cloudflare-os repository on GitHub, with a separate starter repository for deployments. Cloudflare says agents start with no access and that Gatekeepers, which are Workers, handle OAuth, hold credentials, enforce policy, and record reads, while every inference call runs through Cloudflare AI Gateway. Cloudflare says it is working on bringing Cloudflare OS to the Cloudflare dashboard as a fully managed product, and the post does not name the license. USASI has not tested Cloudflare OS. https://unitedstatesofamericasuperintelligence.com/news/cognition-releases-swe-2/ https://unitedstatesofamericasuperintelligence.com/news/cognition-releases-swe-2/ Tue, 13 Oct 2026 12:00:00 GMT News Cognition introduced SWE-2 on September 10, 2026. The announcement says SWE-2 is post-trained from Kimi K3, a 2.8T-parameter model, and that it is available in Devin, starting with Devin Desktop and the CLI, with a rollout to Devin Web and Fusion. The post does not say that the model's weights are published. USASI has not tested this model. https://unitedstatesofamericasuperintelligence.com/news/cognition-signs-doe-mou-to-join-genesis-mission/ https://unitedstatesofamericasuperintelligence.com/news/cognition-signs-doe-mou-to-join-genesis-mission/ Tue, 13 Oct 2026 12:00:00 GMT News Cognition said on July 22, 2026 that it has signed a memorandum of understanding with the U.S. Department of Energy to join the Genesis Mission, which the post describes as launched by executive order in November 2025. According to the post, Cognition will contribute alongside DOE and the national laboratories in four areas: software and data security, modernizing legacy scientific code, expanding scientific workforce capacity, and cloud modernization. The post does not give further terms of the memorandum. https://unitedstatesofamericasuperintelligence.com/news/common-crawl-releases-web-graph-embeddings/ https://unitedstatesofamericasuperintelligence.com/news/common-crawl-releases-web-graph-embeddings/ Tue, 13 Oct 2026 12:00:00 GMT News On September 7, 2026, Common Crawl published an experimental dataset of 128-dimensional embeddings for web hosts, learned from hyperlinks alone in its host-level web graph for the November 2025, December 2025, and January 2026 crawls. The model uses no page text, metadata, or hostnames and was trained only on hosts with at least eight links. The data is published as Parquet files on Common Crawl's S3 bucket and on Hugging Face, where the dataset card says its use is subject to the Common Crawl Terms of Use; the source code is on GitHub. Common Crawl says it is yet to be seen whether it will publish graph embeddings on a regular basis. https://unitedstatesofamericasuperintelligence.com/news/dspy-3-4-1-makes-instructionproposer-gepa-default/ https://unitedstatesofamericasuperintelligence.com/news/dspy-3-4-1-makes-instructionproposer-gepa-default/ Tue, 13 Oct 2026 12:00:00 GMT News On October 12, 2026 DSPy 3.4.1 was published on the project's GitHub repository. The release notes say it makes GEPA's structured InstructionProposer the default instruction proposer, lets dspy.RLM build DSPy sub-agents from inside its REPL, adds Python 3.15 support, and fixes a 3.4.0 import crash. The notes warn that GEPA's default reflection request changes shape, so optimization results can differ from 3.4.0 even with the same seed, and that the reflection LM must now be a dspy.LM that can return JSON. USASI has not tested this release. https://unitedstatesofamericasuperintelligence.com/news/faiss-1-15-0-released/ https://unitedstatesofamericasuperintelligence.com/news/faiss-1-15-0-released/ Tue, 13 Oct 2026 12:00:00 GMT News 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. https://unitedstatesofamericasuperintelligence.com/news/far-ai-launches-ai-security-leaderboard/ https://unitedstatesofamericasuperintelligence.com/news/far-ai-launches-ai-security-leaderboard/ Tue, 13 Oct 2026 12:00:00 GMT News On July 29, 2026, FAR.AI introduced the AI Security Leaderboard, an independent benchmark of the safeguards of frontier AI models, launching with tests of four frontier models under identical conditions against chemical, biological, and cyber misuse. FAR.AI says it broke jailbreaks down into basic building blocks and used a toolkit to recombine them into attacks, measuring robustness as the estimated attacker cost to find a universal jailbreak. It also proposed a Minimal Standard for Safeguards, a shared floor built from defenses that peer developers already run in production, and says passing it does not certify a model as secure. The leaderboard is hosted at leaderboard.far.ai. https://unitedstatesofamericasuperintelligence.com/news/fastvideo-releases-fasth3-preview-v1-open-weights/ https://unitedstatesofamericasuperintelligence.com/news/fastvideo-releases-fasth3-preview-v1-open-weights/ Tue, 13 Oct 2026 12:00:00 GMT News On August 27, 2026, the FastVideo project released FastH3 Preview v1, which its repository describes as an open-weight, 4-step sparse-distilled MiniMax-H3 model for synchronized video and audio generation, developed with Nuva Lab and the NVIDIA FastGen team. The recommended checkpoint was trained with data-free DMD2 and VSA-H3 sparse attention, requires FastVideo's VSA-H3 attention backend, and is also offered as a matching LoRA adapter. Its model card says the checkpoint inherits the MiniMax H3 Community License. USASI has not tested FastH3. https://unitedstatesofamericasuperintelligence.com/news/figure-announces-helix-2-5/ https://unitedstatesofamericasuperintelligence.com/news/figure-announces-helix-2-5/ Tue, 13 Oct 2026 12:00:00 GMT News On September 17, 2026, Figure announced Helix 2.5, a neural network for whole-body control of a humanoid robot on long tasks in homes it has not visited. Figure says Helix 2.5 was pretrained from random initialization entirely on Index, its dataset of human behavior, and that a single base model was then adapted to tidying living rooms, folding towels, and making beds. Figure tested these behaviors in 30 Bay Area homes in which it says no data had been collected. The announcement does not say whether Helix 2.5's weights or code will be released. https://unitedstatesofamericasuperintelligence.com/news/github-mcp-server-2-0-0-released/ https://unitedstatesofamericasuperintelligence.com/news/github-mcp-server-2-0-0-released/ Tue, 13 Oct 2026 12:00:00 GMT News GitHub published version 2.0.0 of the GitHub MCP Server on October 6, 2026. The release notes say it adds support for structured outputs and output schemas to help agents that use Code Mode or programmatic tool calling, and that these schemas are advertised only to clients that declare support for the MCP 2026-07-28 specification or later. According to the notes, the server's compound tools needed changes to their allowed output schemas, so those schemas are not returned to older clients. The listed changes add typed outputs, and for some tools typed inputs, across issue, pull request, repository, search, security alert, and Actions tools. USASI has not tested this release. https://unitedstatesofamericasuperintelligence.com/news/spec-kit-1-0-0-released/ https://unitedstatesofamericasuperintelligence.com/news/spec-kit-1-0-0-released/ Tue, 13 Oct 2026 12:00:00 GMT News GitHub's Spec Kit project published version 1.0.0 on GitHub on August 21, 2026. The release notes give instructions for installing the specify CLI from the v1.0.0 tag and list the changes in the version, which are mostly fixes and updates to extensions and presets in the community catalog, including an update of the Security Review extension to v2.0.0 and a fix that rejects duplicate template entries in presets. The change list shows the version follows the 0.16.5 release. USASI has not tested Spec Kit 1.0.0. https://unitedstatesofamericasuperintelligence.com/news/google-deepmind-introduces-gemini-robotics-2/ https://unitedstatesofamericasuperintelligence.com/news/google-deepmind-introduces-gemini-robotics-2/ Tue, 13 Oct 2026 12:00:00 GMT News On July 30, 2026 Google DeepMind introduced Gemini Robotics 2, a set of three models: Gemini Robotics 2, a vision-language-action model that Google DeepMind says can control full humanoids and bi-arm robots; Gemini Robotics ER 2, an embodied reasoning model that plans multi-step tasks and coordinates several robots; and Gemini Robotics On-Device 2, a vision-language-action model optimized to run locally on robots. The announcement says Gemini Robotics ER 2 is available on Google AI Studio and in private preview on Gemini Enterprise Agent Platform, while the other two models are available to early-access partners. It also introduces ASIMOV-Agentic, a benchmark for agentic safety orchestration. No release of weights is described. USASI has not tested these models. https://unitedstatesofamericasuperintelligence.com/news/google-deepmind-releases-synthid-bio/ https://unitedstatesofamericasuperintelligence.com/news/google-deepmind-releases-synthid-bio/ Tue, 13 Oct 2026 12:00:00 GMT News On September 30, 2026 Google DeepMind introduced SynthID Bio, a family of watermarking methods for AI-generated protein sequences and 3D structures, which it describes as a proof of concept. The repository README says SynthID Bio-sequence adds watermarked sampling to ProteinMPNN, and the announcement says SynthID Bio-structure fine-tunes a small part of AlphaFold 3's diffusion network so that predicted coordinates carry a detectable signature. Google DeepMind says it is publishing a methods paper, open-sourcing the code and in vitro data, and releasing weights to the research community. In the public repository, the software is licensed under Apache 2.0, the in vitro validation data supporting the paper is licensed under CC BY 4.0, and AlphaFold 3 model parameters remain under the AlphaFold 3 terms of use. USASI has not tested SynthID Bio. https://unitedstatesofamericasuperintelligence.com/news/google-deepmind-launches-alphagenome-atlas/ https://unitedstatesofamericasuperintelligence.com/news/google-deepmind-launches-alphagenome-atlas/ Tue, 13 Oct 2026 12:00:00 GMT News On September 8, 2026 Google DeepMind introduced AlphaGenome Atlas, a resource of precomputed AlphaGenome predictions for the effects of single-nucleotide variants, covering every possible single-letter change in the human genome. The announcement says Atlas is detailed in a paper and is available through a free website portal for non-commercial academic research, through the AlphaGenome API, and as a skill in Google Antigravity, with commercial use on Google Cloud planned. Alongside it, Google DeepMind released the AlphaGenome Variant Impact (AVI) score, which combines AlphaGenome and AlphaMissense predictions into a single number per variant; Atlas also includes AVI feature attributions and a collection of recurrent DNA sequence motifs. USASI has not tested AlphaGenome Atlas. https://unitedstatesofamericasuperintelligence.com/news/google-deepmind-releases-alphaprotein-novo/ https://unitedstatesofamericasuperintelligence.com/news/google-deepmind-releases-alphaprotein-novo/ Tue, 13 Oct 2026 12:00:00 GMT News Google DeepMind published AlphaProtein Novo (AP Novo), a generative diffusion pipeline for de novo enzyme design through structural motif scaffolding, in a GitHub repository whose commits are dated from October 5, 2026. The README says the diffusion model co-generates protein structures and sequences conditioned on a catalytic motif and ligand context, and that it can be combined with LigandMPNN sequence redesign and AlphaFold 3 structure prediction; it points to a bioRxiv preprint describing the work. The software is licensed under Apache 2.0, but the generator weights are downloaded separately under terms of use, last modified October 5, 2026, that allow only non-commercial use by, or on behalf of, non-commercial organizations. USASI has not tested AlphaProtein Novo. https://unitedstatesofamericasuperintelligence.com/news/google-introduces-weathernext-3/ https://unitedstatesofamericasuperintelligence.com/news/google-introduces-weathernext-3/ Tue, 13 Oct 2026 12:00:00 GMT News 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. https://unitedstatesofamericasuperintelligence.com/news/google-releases-gemini-3-8-flash-and-flash-cyber/ https://unitedstatesofamericasuperintelligence.com/news/google-releases-gemini-3-8-flash-and-flash-cyber/ Tue, 13 Oct 2026 12:00:00 GMT News 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. https://unitedstatesofamericasuperintelligence.com/news/harvey-open-sources-lab-law-firm-knowledge-tasks/ https://unitedstatesofamericasuperintelligence.com/news/harvey-open-sources-lab-law-firm-knowledge-tasks/ Tue, 13 Oct 2026 12:00:00 GMT News On August 7, 2026 Harvey announced that it is open-sourcing an expansion of LAB, its Legal Agent Benchmark: a synthetic law firm called Calderwood & Harkness whose files cover 266 matters for 46 fictional clients across 15 practice areas. The expansion has 250 tasks that test retrieval and reasoning over the firm's documents, and an LLM judge scores each task against a per-task rubric. The tasks are published in the harveyai/harvey-labs repository on GitHub. USASI has not run the benchmark. https://unitedstatesofamericasuperintelligence.com/news/hugging-face-adds-rl-environments-to-the-hub/ https://unitedstatesofamericasuperintelligence.com/news/hugging-face-adds-rl-environments-to-the-hub/ Tue, 13 Oct 2026 12:00:00 GMT News Hugging Face announced RL Environments on the Hub on September 28, 2026. The post says there is no new repository type, registry, or sign-up: an environment is published as a dataset repository with the rl-environment tag plus a tag for each framework that can load its files, and the Hub offers an RL Environments filter. The post says four environment frameworks are registered as dataset libraries, each with its own tag: Harbor, Verifiers, OpenEnv, and NeMo Gym. The "Use this dataset" button provides a command to run an environment in a given framework, and frameworks run environments locally or on a supported cloud backend such as Hugging Face Jobs. The post says adding a tag does not start a job or sandbox. USASI has not tested this feature. https://unitedstatesofamericasuperintelligence.com/news/ibm-releases-granite-speech-5-0-turboctc/ https://unitedstatesofamericasuperintelligence.com/news/ibm-releases-granite-speech-5-0-turboctc/ Tue, 13 Oct 2026 12:00:00 GMT News On August 25, 2026 IBM's Granite team announced two 470M-parameter English speech recognition models on Hugging Face, granite-speech-5.0-470m-turboctc and granite-speech-5.0-470m-turboctc-nc. The first is released under Apache 2.0; the second, trained with additional data including GigaSpeech and SPGI Speech, is under the non-commercial CC-BY-NC-SA-4.0 license. IBM describes an encoder-only design with 16 Conformer blocks trained with CTC loss, and says that, unlike earlier Granite Speech models, which included an LLM with LoRA adapters, the new models lack capabilities such as speech translation and keyword biasing. USASI has not tested either model. https://unitedstatesofamericasuperintelligence.com/news/ibm-releases-granite-time-series-patchtst-fm-r2/ https://unitedstatesofamericasuperintelligence.com/news/ibm-releases-granite-time-series-patchtst-fm-r2/ Tue, 13 Oct 2026 12:00:00 GMT News On September 9, 2026 IBM Research announced Granite Time Series PatchTST-FM-r2, a zero-shot forecasting model of about 385M parameters that succeeds PatchTST-FM-r1 in the Granite TSFM family. The announcement lists a context length of up to 8,192 steps, flexible forecast lengths, and probabilistic forecasts from a 99-quantile prediction head. The weights are on Hugging Face and the code is in the granite-tsfm repository, and the model is dual-licensed under Apache 2.0 and OpenMDW 1.0, with either license available to choose. USASI has not tested the model. https://unitedstatesofamericasuperintelligence.com/news/inception-releases-mercury-2-5/ https://unitedstatesofamericasuperintelligence.com/news/inception-releases-mercury-2-5/ Tue, 13 Oct 2026 12:00:00 GMT News On September 8, 2026 Inception released Mercury 2.5, a diffusion language model (dLLM) that it describes as a step up in quality over Mercury 2 with the same low-latency serving profile. The announcement lists tunable reasoning, parallel tool calls, and schema-aligned JSON among its capabilities and says Mercury models are available through the Inception API, Baseten, and OpenRouter. Alongside it, Inception announced previews of Mercury Voice, a dLLM optimized for voice agents, and Mercury Router, which routes prompts to other open and closed models. In a separate post on September 29, 2026, Inception said Mercury Voice had become generally available to enterprise customers through an OpenAI API compatible endpoint. Neither post describes a release of model weights. USASI has not tested these models. https://unitedstatesofamericasuperintelligence.com/news/intel-releases-openvino-2026-4/ https://unitedstatesofamericasuperintelligence.com/news/intel-releases-openvino-2026-4/ Tue, 13 Oct 2026 12:00:00 GMT News Intel published OpenVINO 2026.4.0 on GitHub on September 16, 2026. The release notes say OpenVINO GenAI adds Multi-Token Prediction (MTP) speculative decoding for Gemma 4, Qwen3.5 and Qwen3.6 on CPUs and GPUs, and introduces DFlash acceleration for Qwen models on GPUs as a preview. Newly supported models on CPU and GPU include Kokoro-82M, Qwen3-ASR, Muse Glimmer 30B, Qwen3.8 27B and Gemma 4 12B. OpenVINO GenAI also adds an ASRPipeline for Node.js, and the notes say support for Python 3.10 will be discontinued in OpenVINO 2026.5. USASI has not tested this release. https://unitedstatesofamericasuperintelligence.com/news/isaac-lab-3-0-early-access-released/ https://unitedstatesofamericasuperintelligence.com/news/isaac-lab-3-0-early-access-released/ Tue, 13 Oct 2026 12:00:00 GMT News 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. https://unitedstatesofamericasuperintelligence.com/news/lemonade-2026-39-1-adopts-calendar-versioning/ https://unitedstatesofamericasuperintelligence.com/news/lemonade-2026-39-1-adopts-calendar-versioning/ Tue, 13 Oct 2026 12:00:00 GMT News The Lemonade project published Lemonade Server version 2026.39.1 on GitHub on September 23, 2026, three weeks after version 11.9.0. The release notes list a breaking change: the version format changed from X.Y.Z to YYYY.WW.N, so tools and scripts that parse version output or compare version strings must be updated. The release updates TheNoise to 0.7.1 with support for image editing and additional AMD GPUs, adds a /v1/docs endpoint for API reference documentation, and makes VRAM auto-eviction configurable. USASI has not tested this release. https://unitedstatesofamericasuperintelligence.com/news/linux-foundation-launches-x402-foundation/ https://unitedstatesofamericasuperintelligence.com/news/linux-foundation-launches-x402-foundation/ Tue, 13 Oct 2026 12:00:00 GMT News On July 14, 2026 the Linux Foundation announced the operational launch of the x402 Foundation, an open-governance body formed to steward the x402 protocol. The press release describes x402 as an open standard for internet-native payments over HTTP, contributed by Coinbase, that lets AI agents, APIs, and applications send and receive payments. It says the foundation is now fully active under formal, open governance and lists premier members including Amazon Web Services, Cloudflare, Coinbase, Google, Mastercard, Stripe, and Visa. https://unitedstatesofamericasuperintelligence.com/news/liquid-ai-releases-lfm2-5-2-6b/ https://unitedstatesofamericasuperintelligence.com/news/liquid-ai-releases-lfm2-5-2-6b/ Tue, 13 Oct 2026 12:00:00 GMT News Liquid AI announced LFM2.5-2.6B on August 4, 2026, describing it as a 2.6B-parameter model trained for agentic workloads such as planning, calling tools, and multi-step tasks on devices including phones and CPUs. The base model (LFM2.5-2.6B-Base) and the post-trained model (LFM2.5-2.6B) were published on Hugging Face. The model card lists a context length of 131,072 tokens and says the model is not recommended for agentic coding and knowledge-heavy tasks. The weights are released under the LFM Open License v1.0. USASI has not tested this model. https://unitedstatesofamericasuperintelligence.com/news/liquid-ai-releases-lfm2-5-vl-3b/ https://unitedstatesofamericasuperintelligence.com/news/liquid-ai-releases-lfm2-5-vl-3b/ Tue, 13 Oct 2026 12:00:00 GMT News Liquid AI announced LFM2.5-VL-3B on August 12, 2026, a non-reasoning vision-language model that it says answers directly to keep latency low for real-time and on-device applications. The model card says it uses the LFM2.5-2.6B language model as its backbone with a SigLIP2 NaFlex vision encoder, and lists a context length of 32,768 tokens. Weights are on Hugging Face with GGUF, ONNX, and MLX exports, under the LFM Open License v1.0. USASI has not tested this model. https://unitedstatesofamericasuperintelligence.com/news/llm-d-0-10-0-released/ https://unitedstatesofamericasuperintelligence.com/news/llm-d-0-10-0-released/ Tue, 13 Oct 2026 12:00:00 GMT News The llm-d project published version 0.10.0 on GitHub on September 29, 2026. The release notes name operational hardening and production readiness as the main themes and describe a new image build arrangement: images from main and official releases go to ghcr.io and are signed publicly with cosign, while images built from open pull requests go to quay.io and are not signed. The notes deprecate the ghcr.io/llm-d/llm-d-cuda image in favor of docker.io/vllm/vllm-openai and the llm-d-aws image in favor of an AWS vLLM container, and say the llmd-fs-connector has been integrated into vLLM as the OffloadingConnector. The llm-d-workload-variant-autoscaler repository has been renamed llm-d-autoscaling. USASI has not tested this release. https://unitedstatesofamericasuperintelligence.com/news/lm-studio-introduces-bionic-agent-app/ https://unitedstatesofamericasuperintelligence.com/news/lm-studio-introduces-bionic-agent-app/ Tue, 13 Oct 2026 12:00:00 GMT News LM Studio introduced LM Studio Bionic on July 16, 2026, describing it as an AI agent made for open models. The post says Bionic is a new, separate app from LM Studio, that local models in it are powered by the LM Studio runtime, and that it can also use large open models through LM Studio Secure Cloud, which requires an LM Studio account with billing. Described uses include coding, document and file work, and research. The post does not say whether Bionic's software is open source. USASI has not tested this app. https://unitedstatesofamericasuperintelligence.com/news/marin-begins-pretraining-535b-a23b-model/ https://unitedstatesofamericasuperintelligence.com/news/marin-begins-pretraining-535b-a23b-model/ Tue, 13 Oct 2026 12:00:00 GMT News In a launch note dated September 3, 2026, first published on the Open Athena blog and mirrored by Marin, Marin said it had started pretraining Marin 535B-A23B a couple of weeks earlier. The note describes a mixture-of-experts model with 535 billion total parameters and 23 billion active, planned to pretrain for about three months on 18 trillion tokens, and says the team ported its infrastructure and training stack from Google TPUs on GCP to NVIDIA GPUs on CoreWeave before launch, with post-training to follow. It says the entire run, including architecture, data, and predicted loss, is documented on GitHub; it does not give a date or license for releasing the model's weights. https://unitedstatesofamericasuperintelligence.com/news/meta-launches-muse-image-and-previews-muse-video/ https://unitedstatesofamericasuperintelligence.com/news/meta-launches-muse-image-and-previews-muse-video/ Tue, 13 Oct 2026 12:00:00 GMT News 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. https://unitedstatesofamericasuperintelligence.com/news/meta-releases-metaencoder-30b/ https://unitedstatesofamericasuperintelligence.com/news/meta-releases-metaencoder-30b/ Tue, 13 Oct 2026 12:00:00 GMT News Meta has published MetaEncoder-30B on Hugging Face as facebook/meta-encoder. The model card describes it as a multimodal bi-encoder, a "Multimodal System One Encoder", 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. https://unitedstatesofamericasuperintelligence.com/news/meta-releases-muse-spark-1-1-and-meta-model-api/ https://unitedstatesofamericasuperintelligence.com/news/meta-releases-muse-spark-1-1-and-meta-model-api/ Tue, 13 Oct 2026 12:00:00 GMT News 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 "Thinking" 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. https://unitedstatesofamericasuperintelligence.com/news/meta-releases-muse-wonder-and-muse-wonder-full/ https://unitedstatesofamericasuperintelligence.com/news/meta-releases-muse-wonder-and-muse-wonder-full/ Tue, 13 Oct 2026 12:00:00 GMT News 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. https://unitedstatesofamericasuperintelligence.com/news/metr-summarizes-predeployment-evaluation-of-claude-opus-5-5/ https://unitedstatesofamericasuperintelligence.com/news/metr-summarizes-predeployment-evaluation-of-claude-opus-5-5/ Tue, 13 Oct 2026 12:00:00 GMT News On September 22, 2026, METR published a preliminary summary of its predeployment evaluation of Anthropic's Claude Opus 5.5, focused on the model's potential effect on AI research and development. METR says it tested the model through API access over 10 business days on five tasks; it drafted the summary, Anthropic could review and edit it, and the final text also appears in the Claude Opus 5.5 system card. METR concludes that the model is unlikely to be able to fully automate AI R&D, but expects it to noticeably accelerate researchers and automate limited aspects of R&D. METR says the work was not meant to verify compliance with any threshold in Anthropic's policies and did not assess alignment properties. https://unitedstatesofamericasuperintelligence.com/news/metr-testifies-to-senate-on-ai-agent-incidents/ https://unitedstatesofamericasuperintelligence.com/news/metr-testifies-to-senate-on-ai-agent-incidents/ Tue, 13 Oct 2026 12:00:00 GMT News On September 30, 2026, METR President Chris Painter testified before the Senate Homeland Security and Governmental Affairs Subcommittee on Disaster Management, District of Columbia, and Census at a hearing titled "Rogue AI: Securing the Homeland Against AI Agent Attacks." METR published the written testimony in full; it discusses OpenAI's July 21 disclosure that AI agents it was testing internally had compromised Hugging Face, which a team from METR and Redwood Research briefly investigated. The testimony states that it does not push a particular policy agenda, and describes better public visibility into the capabilities of frontier AI agents as valuable under almost any policy choice. https://unitedstatesofamericasuperintelligence.com/news/microsoft-ai-opens-consultation-on-mai-code-of-conduct/ https://unitedstatesofamericasuperintelligence.com/news/microsoft-ai-opens-consultation-on-mai-code-of-conduct/ Tue, 13 Oct 2026 12:00:00 GMT News On September 14, 2026 Microsoft AI published a first draft of a Code of Conduct for its MAI models, which it describes as a training manual for how it develops its models and how they are meant to behave in deployment. The draft sets out "Absolute Constraints" in areas such as weapons of mass harm, child safety, and harmful manipulation at scale, along with defaults that enterprise partners can configure. Microsoft AI opened a six-week public consultation on the draft the same day, and says it will then publish a summary of what it learned and changed and release a revised version later in 2026. The page does not give an exact closing date for comments. https://unitedstatesofamericasuperintelligence.com/news/microsoft-ai-releases-mai-thinking-1/ https://unitedstatesofamericasuperintelligence.com/news/microsoft-ai-releases-mai-thinking-1/ Tue, 13 Oct 2026 12:00:00 GMT News On August 12, 2026 Microsoft AI introduced MAI-Thinking-1, a reasoning model from its Superintelligence team, and made it available in public preview on Microsoft Foundry. The announcement describes a sparse mixture-of-experts model with 35B active and about 1T total parameters, a 256k-token context window, and function calling, and says it is compatible with the Chat Completions API. Microsoft AI says it did not distill the model from other labs' models and that safety training runs in the same reinforcement learning loop as capability training. The post does not say that the weights are released. USASI has not tested MAI-Thinking-1. https://unitedstatesofamericasuperintelligence.com/news/microsoft-announces-genesis-mission-commitment-spark/ https://unitedstatesofamericasuperintelligence.com/news/microsoft-announces-genesis-mission-commitment-spark/ Tue, 13 Oct 2026 12:00:00 GMT News On July 22, 2026 Microsoft announced a long-term commitment to the Department of Energy's Genesis Mission, centered on SPARK (Scientific Partnership Advancing Research & Knowledge), a new program office that Microsoft calls the single front door and coordination hub for Genesis Mission collaboration with the company. The commitment includes access to Microsoft Discovery, which Microsoft says is now generally available, and Microsoft says Azure capabilities will help extend DOE's American Science Cloud. Microsoft describes four of the first projects under the partnership, with Pacific Northwest National Laboratory, Lawrence Livermore National Laboratory, the Johns Hopkins University Applied Physics Laboratory, and Idaho National Laboratory, covering work from energy storage materials to nuclear licensing. https://unitedstatesofamericasuperintelligence.com/news/microsoft-releases-vibevoice-asr-streaming/ https://unitedstatesofamericasuperintelligence.com/news/microsoft-releases-vibevoice-asr-streaming/ Tue, 13 Oct 2026 12:00:00 GMT News The news log in Microsoft's VibeVoice repository lists the release of VibeVoice-ASR-Streaming on September 3, 2026, describing it as a unified streaming ASR model that continuously transcribes who said what as speech arrives, with support for customized hotwords and 10 languages. The Hugging Face card for VibeVoice-ASR-Streaming-7B names the languages as Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, and Spanish, and says the project is licensed under the MIT License. A technical report on the model was submitted to arXiv on September 2, 2026. USASI has not tested VibeVoice-ASR-Streaming. https://unitedstatesofamericasuperintelligence.com/news/midjourney-announces-first-acquisition/ https://unitedstatesofamericasuperintelligence.com/news/midjourney-announces-first-acquisition/ Tue, 13 Oct 2026 12:00:00 GMT News On July 23, 2026 Midjourney announced on its updates blog that its first acquisition is Co–Star. The post says Co–Star's founder and team will join Midjourney to help build a broader organization around product and design, while Co–Star itself will remain entirely under its founder's control and direction. The post links the move to plans for what it calls a very unusual research lab, starting with Midjourney Medical, and to half a dozen projects it expects to announce over the following six months. The post does not give financial terms or say whether the transaction has closed. https://unitedstatesofamericasuperintelligence.com/news/midjourney-releases-version-8-2/ https://unitedstatesofamericasuperintelligence.com/news/midjourney-releases-version-8-2/ Tue, 13 Oct 2026 12:00:00 GMT News On July 24, 2026 Midjourney announced that it was launching its V8.2 image model that day. The post says the update focuses on aesthetics, image quality, and personalization, that random low-quality results should be much less frequent, and that creating personalization profiles for V8.2 draws on a larger and improved pool of images. On August 27, 2026 Midjourney began letting everyone test its first V8.2 image edit model, which supports instruction-based editing, inpainting, and outpainting. V8.2 is offered through Midjourney's own service; the post does not describe a release of model weights. USASI has not tested V8.2. https://unitedstatesofamericasuperintelligence.com/news/mlcommons-publishes-mlperf-storage-v3-0-results/ https://unitedstatesofamericasuperintelligence.com/news/mlcommons-publishes-mlperf-storage-v3-0-results/ Tue, 13 Oct 2026 12:00:00 GMT News MLCommons published results for version 3.0 of its MLPerf Storage benchmark suite on September 1, 2026. The suite measures the performance of storage systems for machine learning workloads, and v3.0 adds a KV Cache test of storage performance for LLM inference cache read and write operations and a Vector Database test covering vector indexing and querying. Version 3.0 also adds support for an S3 object storage access layer alongside the existing POSIX layer, supported for training, checkpointing, and some vector database tests. Results are on the MLCommons Storage benchmark results page. https://unitedstatesofamericasuperintelligence.com/news/mlcommons-releases-mlperf-client-v2-0/ https://unitedstatesofamericasuperintelligence.com/news/mlcommons-releases-mlperf-client-v2-0/ Tue, 13 Oct 2026 12:00:00 GMT News MLCommons released version 2.0 of MLPerf Client, its benchmark for running AI workloads locally on PCs, on August 18, 2026. The release adds an image generation category, with Flux.2 klein 4B as an experimental test, and an agentic AI category with Software Engineering Agent and Data Analyst Agent scenarios that break end-to-end results into LLM inference and tool execution time. Phi 4 Mini Instruct replaces Phi 3.5 mini instruct in the required LLM workloads, and Qwen 3 8B is added as an experimental test. MLCommons says v2.0 is free to download for Windows, macOS, and Linux from GitHub. USASI has not tested MLPerf Client. https://unitedstatesofamericasuperintelligence.com/news/mlcommons-releases-mlperf-endpoints-v0-7/ https://unitedstatesofamericasuperintelligence.com/news/mlcommons-releases-mlperf-endpoints-v0-7/ Tue, 13 Oct 2026 12:00:00 GMT News On July 28, 2026, MLCommons announced MLPerf Endpoints v0.7, a foundation release of a new MLPerf benchmark aimed at enterprise buyers procuring inference compute from neoclouds, cloud providers, and managed services. The release covers three benchmarks with initial results from CoreWeave, Google, Intel, KRAI, and NVIDIA, and supports automated submission pipelines, continuous review tooling, and dynamic result visualization. Results and tooling are at endpoints.mlcommons.org. MLCommons says it will deliver MLPerf Endpoints v1.0 later in 2026, with more buyer-centric rules and agentic workloads. https://unitedstatesofamericasuperintelligence.com/news/mlperf-training-adds-llm-post-training-benchmark/ https://unitedstatesofamericasuperintelligence.com/news/mlperf-training-adds-llm-post-training-benchmark/ Tue, 13 Oct 2026 12:00:00 GMT News MLCommons announced on September 24, 2026 that MLPerf Training is adding an LLM post-training benchmark, beginning with the v6.1 submission round in October 2026. The benchmark reports the wall-clock time a system needs to reach a quality target when post-training Qwen3.5-397B-A17B with reinforcement learning with verifiable rewards, using Group Relative Policy Optimization, on Python software engineering problems from the R2E-Gym dataset. Agents work in sandboxed Linux containers, and the specification and reference implementation are in the mlcommons/training repository. https://unitedstatesofamericasuperintelligence.com/news/mcp-specification-2026-07-28-released/ https://unitedstatesofamericasuperintelligence.com/news/mcp-specification-2026-07-28-released/ Tue, 13 Oct 2026 12:00:00 GMT News On July 28, 2026 the Model Context Protocol project published the stable release of the 2026-07-28 revision of the MCP specification, which follows the 2025-11-25 revision. The changelog lists removing protocol-level sessions and the Mcp-Session-Id header from the Streamable HTTP transport, and removing the initialize handshake so that every request carries its protocol version and client capabilities in _meta. It also adds a required server/discover method and a Multi Round-Trip Requests pattern, and moves tasks into an official io.modelcontextprotocol/tasks extension. The revision deprecates the Roots, Sampling, and Logging features and adopts a feature lifecycle and deprecation policy with a minimum twelve-month deprecation window. USASI has not tested implementations of this revision. https://unitedstatesofamericasuperintelligence.com/news/modular-26-6-opens-mojo-compiler-to-contributions/ https://unitedstatesofamericasuperintelligence.com/news/modular-26-6-opens-mojo-compiler-to-contributions/ Tue, 13 Oct 2026 12:00:00 GMT News Modular released MAX 26.6 and Mojo 1.1 on September 17, 2026, and said it is now accepting contributions to the Mojo compiler, which it open-sourced under the Apache 2.0 license at ModCon in August. Modular also says it has migrated its internal issues to public GitHub issues. The release notes say Mojo 1.1 marks more standard library APIs as stable, including String, SIMD and List, and removes deprecated items such as the fn and alias keywords. MAX 26.6 adds an audio generation pipeline that launches with support for MiniMax-Music3, and support for Thinking Machines' Inkling architecture. USASI has not tested this release. https://unitedstatesofamericasuperintelligence.com/news/modular-releases-mojo-1-0/ https://unitedstatesofamericasuperintelligence.com/news/modular-releases-mojo-1-0/ Tue, 13 Oct 2026 12:00:00 GMT News Modular released Mojo 1.0 with its Modular 26.5 release on August 11, 2026. Modular's announcement says that during the 1.x timeframe changes should be primarily additive, and the GitHub release notes say Modular has started marking a small set of standard library APIs as stable. The notes warn of more breaking changes than usual, saying nearly every one ships with a deprecated alias and a compiler fix-it. In MAX 26.5, most GPU programming APIs moved out of the Mojo standard library into a new top-level max package, and Apple silicon GPU support was extended back to M1 devices. USASI has not tested this release. https://unitedstatesofamericasuperintelligence.com/news/mozilla-ai-introduces-otari/ https://unitedstatesofamericasuperintelligence.com/news/mozilla-ai-introduces-otari/ Tue, 13 Oct 2026 12:00:00 GMT News Mozilla.ai introduced Otari on July 6, 2026, calling it the open-source LLM control plane built by Mozilla.ai. The announcement says it routes requests across multiple LLM providers through a single endpoint, with budgets and usage visibility for LLM spend, centralized API keys and access controls, automatic failover, and Agent Harnesses for building agent-ready applications. The GitHub repository describes Otari as an open-source, OpenAI-compatible LLM gateway that you run yourself, and it is licensed under Apache 2.0; the post says it can be deployed in hosted or self-hosted environments. USASI has not tested this software. https://unitedstatesofamericasuperintelligence.com/news/nist-joins-genesis-mission-through-doe-agreement/ https://unitedstatesofamericasuperintelligence.com/news/nist-joins-genesis-mission-through-doe-agreement/ Tue, 13 Oct 2026 12:00:00 GMT News On August 4, 2026, NIST announced that it and the Department of Energy's Office of Science had signed a memorandum of understanding to apply AI-accelerated innovation to national science and technology challenges tied to the Genesis Mission. The agencies will coordinate and share resources in biotechnology, quantum science, and materials design and discovery. NIST will carry out two efforts through its Centers for AI in Manufacturing and Critical Infrastructure, a partnership with MITRE: one on AI-driven autonomous agents and human-in-the-loop robotics for manufacturing, and one on AI-based agents that detect and respond to cyberthreats against critical infrastructure. NIST describes both as two-year sprints. https://unitedstatesofamericasuperintelligence.com/news/caisi-assesses-glm-5-3-cyber-capabilities/ https://unitedstatesofamericasuperintelligence.com/news/caisi-assesses-glm-5-3-cyber-capabilities/ Tue, 13 Oct 2026 12:00:00 GMT News On September 17, 2026, NIST's Center for AI Standards and Innovation (CAISI) published an assessment of the cyber capabilities of GLM-5.3, a model from the PRC-based company Z.ai, which released it in August 2026 and made its weights public two weeks later. CAISI ran the model as an agent with bash and Python tools on four benchmarks covering vulnerability discovery and exploit development, including its private CAISI OSS-Fuzz benchmark, and tested U.S. models with cyber safeguards disabled for comparison. The assessment compares GLM-5.3 with the U.S. and PRC models CAISI has evaluated, using per-benchmark results and an aggregate cyber capability index based on Item Response Theory, and notes that it does not compare against models that have been developed but not yet released. https://unitedstatesofamericasuperintelligence.com/news/hermes-agent-0-20-0-adds-voice-and-a2a/ https://unitedstatesofamericasuperintelligence.com/news/hermes-agent-0-20-0-adds-voice-and-a2a/ Tue, 13 Oct 2026 12:00:00 GMT News Nous Research published Hermes Agent v0.20.0 (tagged v2026.8.3) on GitHub on August 3, 2026, calling it "The Herald Release." The release notes list streaming conversational voice with barge-in and on-device wake words, and a new bundled plugin that implements the Agent-to-Agent (A2A) protocol v1.0 so Hermes can discover, talk to, and be driven by other A2A-compatible agents. The notes also list signed outbound webhooks, grounded research with citations and fact-checking, and a plugin SDK for the desktop app. USASI has not tested this release. https://unitedstatesofamericasuperintelligence.com/news/nvidia-adds-cuda-q-logical-to-cuda-q/ https://unitedstatesofamericasuperintelligence.com/news/nvidia-adds-cuda-q-logical-to-cuda-q/ Tue, 13 Oct 2026 12:00:00 GMT News 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. https://unitedstatesofamericasuperintelligence.com/news/nvidia-and-cisco-announce-usfp-optics-form-factor/ https://unitedstatesofamericasuperintelligence.com/news/nvidia-and-cisco-announce-usfp-optics-form-factor/ Tue, 13 Oct 2026 12:00:00 GMT News 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. https://unitedstatesofamericasuperintelligence.com/news/nvidia-launches-open-secure-ai-alliance/ https://unitedstatesofamericasuperintelligence.com/news/nvidia-launches-open-secure-ai-alliance/ Tue, 13 Oct 2026 12:00:00 GMT News 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. https://unitedstatesofamericasuperintelligence.com/news/nvidia-contributes-vera-rubin-designs-to-ocp/ https://unitedstatesofamericasuperintelligence.com/news/nvidia-contributes-vera-rubin-designs-to-ocp/ Tue, 13 Oct 2026 12:00:00 GMT News 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.