https://unitedstatesofamericasuperintelligence.com/companies/amazon/ Dated, sourced news items in the USASI catalog that mention Amazon (AWS). Independent project. Not a United States government website. en-us Tue, 20 Oct 2026 12:00:00 GMT https://unitedstatesofamericasuperintelligence.com/news/amazon-open-sources-torchneuron-for-trainium/ https://unitedstatesofamericasuperintelligence.com/news/amazon-open-sources-torchneuron-for-trainium/ Tue, 20 Oct 2026 12:00:00 GMT release Amazon said TorchNeuron, which it describes as running existing PyTorch code on its Trainium chips without a rewrite by plugging into PyTorch's standard mechanism for registering new hardware, would be released under the Apache 2.0 license at PyTorch Conference North America on October 20, 2026. Amazon says TorchNeuron supports Trainium2 and Trainium3 and that it is contributing changes upstream to PyTorch. The aws-neuron/torch-neuronx repository on GitHub is public, lists the Apache License 2.0, and describes itself as a native PyTorch backend for AWS Trainium. A Hugging Face blog post dated October 19 describes running Hugging Face models with it. USASI has not tested TorchNeuron. https://unitedstatesofamericasuperintelligence.com/news/amazon-bedrock-structured-outputs-for-claude-generally-available/ https://unitedstatesofamericasuperintelligence.com/news/amazon-bedrock-structured-outputs-for-claude-generally-available/ Tue, 20 Oct 2026 12:00:00 GMT release In an October 19, 2026 post on the AWS Machine Learning Blog, AWS said structured outputs for Claude on Amazon Bedrock is now generally available for all Anthropic Claude models, on both the bedrock-runtime and bedrock-mantle endpoints. AWS says the feature uses constrained decoding to enforce a developer's JSON schema during token generation, and that setting strict: true on a tool constrains the model's tool input to match its schema. The post also says some JSON Schema keywords, including numeric and string length constraints, are accepted but not enforced, so applications should validate those values themselves. https://unitedstatesofamericasuperintelligence.com/news/white-house-science-summit-genesis-consortium-partners/ https://unitedstatesofamericasuperintelligence.com/news/white-house-science-summit-genesis-consortium-partners/ Sun, 11 Oct 2026 12:00:00 GMT policy On October 8, 2026 the White House published a fact sheet on science initiatives announced at its "Science: A New Golden Age" summit. It says eleven industry partners committed SI-for-science tools and compute credits to the Genesis Mission Consortium, and names NVIDIA, AMD, OpenAI, Anthropic, Google, AMP, Emerald AI, AWS, Armada, Crusoe, and Micron. The same fact sheet says NIH, DOE, and Biohub launched a virtual biology initiative to build data and models for virtual cells. The fact sheet describes announcements and commitments rather than an executive order. https://unitedstatesofamericasuperintelligence.com/news/aws-releases-strands-decider-2b/ https://unitedstatesofamericasuperintelligence.com/news/aws-releases-strands-decider-2b/ Sun, 04 Oct 2026 12:00:00 GMT release On October 1, 2026 the Strands team at AWS announced Strands Decider 2B, a 2-billion-parameter "decision model" that picks between supplied options or assigns a score with a confidence value instead of generating text. The announcement says the model starts from the Qwen3.5-2B model with its language-model head replaced by a small pointer head and the base fine-tuned with a LoRA adapter, and that it is meant for agent workflows such as those built with the Strands Harness SDK. The code, training data, and scripts are published on GitHub and the weights on Hugging Face; the repository and model card both list the Apache 2.0 license. AWS describes it as a Strands Labs project and says it is unsuited to text-generation tasks such as coding, chat, or summarization. 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 research 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/strands-agents-releases-strands-harness/ https://unitedstatesofamericasuperintelligence.com/news/strands-agents-releases-strands-harness/ Tue, 13 Oct 2026 12:00:00 GMT release On September 21, 2026 the Strands Agents project released Strands harness, which it describes as a fully assembled agent harness that can run locally or be deployed to a chosen provider, built as a general-purpose agent rather than a coding agent. It is available under the Apache 2.0 license, is built on the Strands Harness SDK, and can be used from Python or TypeScript. The post says its default context management truncates tool results over about 1,500 tokens and compacts the context when the context window is more than 85 percent full, and that it runs on models from Amazon Bedrock, Anthropic, OpenAI, and Google as well as local Ollama models. USASI has not tested Strands harness. 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 governance 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.