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    <title>Open-source foundations and stewards — USASI news</title>
    <link>https://unitedstatesofamericasuperintelligence.com/hubs/open-source-foundations/</link>
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    <description>Dated, sourced news items about the organizations and records featured in the USASI Open-source foundations and stewards 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>MLflow 3.17.0 released with fine-grained permissions and TypeSafe judge support</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/mlflow-3-17-0-released/</link>
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      <pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 7, 2026 the MLflow project published version 3.17.0 on GitHub. The release notes list &quot;Jev Decisions Across Evaluation, Gateway, and Tracing&quot;, which lets TypeSafe models be used in built-in scorers and custom judges, and &quot;Fine-Grained Permissions for Shared Resources&quot;, with wildcard grants and explicit DENY for contained resource types such as runs, traces, and versions. They also describe opt-in daily summaries for trace analytics. The notes say SQL-backed servers need a coordinated mlflow db upgrade with all writers stopped, and that mixed-version rolling upgrades are not supported. USASI has not tested these changes.</description>
    </item>
    <item>
      <title>GitHub MCP Server 2.0.0 adds structured outputs and output schemas for newer MCP clients</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/github-mcp-server-2-0-0-released/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>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.</description>
    </item>
    <item>
      <title>vLLM 0.31.0 released with a preload command for faster engine restarts</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/vllm-0-31-0-released/</link>
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      <pubDate>Tue, 06 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 5, 2026 the vLLM project published version 0.31.0 on GitHub. The release notes highlight a new vllm preload command that launches a weight-cache daemon to keep post-quantized weights in GPU memory across engine restarts, and experimental engine snapshots (vllm snapshot create/restore) that use CRIU to restore a fully initialized TP1 engine. Under security, the notes say per-request mm_processor_kwargs and media_io_kwargs are now rejected unless --trust-request-mm-kwargs is set. The release also lists breaking changes, including the removal of tokenizer_mode=&quot;slow&quot;, and performance work for DeepSeek-V4.1-Flash. USASI has not tested any of these changes.</description>
    </item>
    <item>
      <title>SGLang 0.5.21 adds a Decisions API and runtime prefill-decode role switching</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/sglang-0-5-21-released/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>The SGLang project published v0.5.21 on GitHub on October 2, 2026. The release notes highlight prefill-decode instances that can switch between prefill and decode without a restart, a Rust core for the prefix cache by default, a new Decisions API (/v1/decisions) that lets an LLM or VLM act as a low-latency classifier and scorer, and a Score API (/v1/score) that scores all candidates in one request. Under breaking changes, request-supplied chat_template values are rejected unless the server starts with --trust-request-chat-template, and deprecated endpoints, environment variables, and aliases, along with legacy radix cache implementations, were removed. The release also adds support for models including DeepSeek-V4.1 Flash and MiMo-V2.6. USASI has not tested these changes.</description>
    </item>
    <item>
      <title>llm-d 0.10.0 focuses on operational hardening and deprecates its own CUDA and AWS images</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/llm-d-0-10-0-released/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>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.</description>
    </item>
    <item>
      <title>MLPerf Training adds an LLM post-training benchmark, starting with round v6.1</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/mlperf-training-adds-llm-post-training-benchmark/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>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.</description>
    </item>
    <item>
      <title>MLCommons publishes MLPerf Inference v6.1 results with two new tests</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/mlcommons-publishes-mlperf-inference-v6-1/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/mlcommons-publishes-mlperf-inference-v6-1/</guid>
      <pubDate>Thu, 01 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>MLCommons published results for version 6.1 of the MLPerf Inference benchmark suite on September 16, 2026. The round added two tests: an end-to-end retrieval-augmented generation test that runs a question-answering pipeline of several separate models, and an Edge Agentic Inference test built around multi-turn workloads such as agentic coding. Speculative decoding is now allowed in the interactive scenario for two of the inference benchmarks. Results are published on MLCommons' datacenter and edge results pages.</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>
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      <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>Common Crawl releases experimental web graph embeddings for web hosts</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/common-crawl-releases-web-graph-embeddings/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/common-crawl-releases-web-graph-embeddings/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>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.</description>
    </item>
    <item>
      <title>PyTorch 2.14.0 released with torch.switch, NVGEMM in Inductor, and a preview NCCL backend rewrite</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/pytorch-2-14-0-released/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>PyTorch 2.14.0 was published on GitHub on September 2, 2026. The release notes highlight NVGEMM, which brings CuTeDSL-generated CUTLASS kernels to Inductor, and torch.switch, which generalizes torch.cond to multi-way branching. Other highlights include declarative dynamic shapes via @dynamic_spec, experimental torch.compile support for complex-valued tensors, a preview of a rewritten NCCL backend ported from torchcomms, and native linear algebra on Apple Silicon. The notes also say Inductor now targets Rubin (sm_107). USASI has not tested this release.</description>
    </item>
    <item>
      <title>MLCommons publishes MLPerf Storage v3.0 results with KV cache and vector database tests</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/mlcommons-publishes-mlperf-storage-v3-0-results/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/mlcommons-publishes-mlperf-storage-v3-0-results/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>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.</description>
    </item>
    <item>
      <title>MLCommons releases MLPerf Client v2.0 with image generation and agentic AI tests</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/mlcommons-releases-mlperf-client-v2-0/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>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.</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>
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      <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>MLCommons releases MLPerf Endpoints v0.7, a benchmark for buyers of hosted inference</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/mlcommons-releases-mlperf-endpoints-v0-7/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>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.</description>
    </item>
    <item>
      <title>Model Context Protocol publishes its 2026-07-28 specification, removing protocol-level sessions</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/mcp-specification-2026-07-28-released/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>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.</description>
    </item>
    <item>
      <title>Linux Foundation announces the operational launch of the x402 Foundation for agent payments</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/linux-foundation-launches-x402-foundation/</link>
      <guid isPermaLink="true">https://unitedstatesofamericasuperintelligence.com/news/linux-foundation-launches-x402-foundation/</guid>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>governance</category>
      <description>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.</description>
    </item>
    <item>
      <title>PyTorch 2.13.0 released with FlexAttention on Apple Silicon and the torchcomms backend</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/pytorch-2-13-0-released/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>PyTorch 2.13.0 was published on GitHub on July 8, 2026. The release notes highlight FlexAttention support on Apple Silicon (MPS) and a deterministic FlexAttention backward path on CUDA, a prototype CuTeDSL &quot;Native DSL&quot; backend for Inductor alongside Triton, and nn.LinearCrossEntropyLoss, which combines the final prediction and loss computation to reduce peak GPU memory. They also introduce torchcomms, a new communications backend for PyTorch Distributed, and Python 3.15 wheels on Linux, while dropping free-threaded CPython 3.13t binaries and Bazel build support. USASI has not tested this release.</description>
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