搜索“GitHub”

aged policy was detached. Part 4: OIDC federation for external workloads For workloads running on Google Cloud Platform (GCP), Kubernetes clusters outside AWS, or CI/CD pipelines (GitHub Actions, GitLab CI), OIDC federation authenticates them without storing AWS credentials. The flow: the external identity provider issues a token, and AWS Security Token Service (STS) exchanges it for temporary credentials. Those credentials then generate a short-lived CPonAWS bearer token. 4.1 Create an IAM OIDC

匹配字段正文

nd them are open too. For a deeper look at the systems design, experiments, ablations, and approaches we tested along the way, read our technical report and explore Olmo-core 3 on GitHub . At Ai2 we’re building the future of transparent, open-source AI — built in the open to empower scientific progress and fundamental understanding of this world changing technology. We’re not here to make profits, we’re here to make sure benefits of AI are shared widely and for the benefit of humanity. If this a

匹配字段正文

nd them are open too. For a deeper look at the systems design, experiments, ablations, and approaches we tested along the way, read our technical report and explore Olmo-core 3 on GitHub . More from this author BenchMIRT: What are LLM benchmarks actually measuring? 27 September 1, 2026 Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream analysis 19 August 12, 2026 Community Edit Preview Upload images, audio, and videos by dragging in the text input, pa

匹配字段正文

an Zhu在学生时代构建消费级应用的经历，他们经常参加黑客松。每次完成一个新应用，他们都会遇到同一个瓶颈：如何让人们发现它。通过构建一个在iMessage内运行的智能体，他们意识到可以通过人们每天都在使用的应用——苹果的Messages——触达用户。 例如，Tian曾构建过一个机器人，能在iMessage上以他的身份回复朋友的消息。当他和Zhu将这项技术在GitHub上开源后，数千名开发者采用了它。于是他们全力以赴。Tian从宾夕法尼亚大学的M&T项目退学，Zhu则离开了高中，后来成为麻省理工学院媒体实验室的访问学生。 如今，Photon的开源版本仍占其使用量的98%。 今年4月，创始人决定创建一个托管平台，并通过订阅层级销售其访问权限。该托管版本提供99.95%的正常运行时间，远高于仅在本地Mac上运行开源版本做业余项目所能获得的水平。它还通过了SOC 2 Type II和HIPAA合规认证，为医疗健康领域的智能体用例打开了大门。 迄今为止，该初创公司的平台已吸引超过4万名开发者注册，目前还包括付费客户。（我们获悉，任何超过10名用户的使用量都需要从免费层级升级到三个付费层级之一。

匹配字段正文

17x faster than LimiX-2 on a single RTX 6000 Pro. All 3 sizes sit on the accuracy and inference-time Pareto front. Sources: NVIDIA blog , SDM model docs , Prior Labs docs , LimiX GitHub , TabICLv2 paper . Checked September 30, 2026. The license row is the real differentiator. TabPFN-3, LimiX-2, and TabFM weights carry non-commercial terms. Kumo Tabular and TabICLv2 are the permissive options, and Kumo Tabular leads the benchmarks NVIDIA reports. Install the library and pass a DataFrame through

匹配字段正文

t observability isn't an add-on. It's a prerequisite for running agents in production responsibly. Or, to borrow the house line: AI, it's still just engineering. Want to see these primitives in a real agent harness? Pydantic Deep Agents is an open-source, self-hosted agent harness built on Pydantic AI: planning, sandboxed execution, sub-agent teams, and skills, on any model. Instrument it with Logfire and you get the trace view from this article for free. github.com/vstorm-co/pydantic-deepagents

匹配字段正文

2026年6月24日 循环是今年最不令人意外的事情。它们显而易见，已经存在多年，底层技巧也并不新鲜。AutoGPT、BabyAGI、Ralph 循环、自动研究脚本，以及每一个带有重试条件的粗糙 bash 循环，早已指向同一种形态。 2023 年 3 月，AutoGPT 接收一个目标，将其分解为子任务，然后循环执行，直到它判定自己完成为止。它成为 GitHub 历史上增长最快的仓库之一，随后几乎立刻变成了关于“没有验证的自主性”的反面教材。早期的循环会跑偏、产生幻觉、自我重复，偶尔还会让你的 OpenAI 账单烧起来。BabyAGI 在几周后出现，撞上了同一堵墙：长时间运行的智能体会累积小错误、失去主线，并把动作误认为进展。 Ralph 循环通过将测试、构建和外部检查引入循环，以更强的纪律性复兴了这一理念。从这个意义上说，Codex 的 /goal 和 Claude Code 的 /loop 并不是神奇的新原语，而是包裹在更好界面中、指向更好验证的旧循环。 那么，为什么循环现在开始流行？多年来，AI 是一个没有身体的头脑：它可以规划、重试和叙述，但无法可靠地看到自己行动之后发生了什么。然

匹配字段正文

e box - Long run-times (task drags out for hours) Here’s how I solved them: - Using subagents to ensure we don’t overwhelm a single agent - Looking up skills and guides on Figma’s Github - Parallelise work I asked Codex to go through all the past sessions, figure out the failure points, then search the web on what the proper guidelines would be. 1. It searched through my session history 2. It determined that it was using the wrong tools 3. It searched the web and found the Figma write skill 4. I

匹配字段正文

concrete techniques, design choices, and “aha” moments that make human-centered AI work in practice. Our episodes and more about our podcast can be found at https://augmented-mind.github.io/ Over 150 years ago, the invention of photography disrupted painting, paving the way for the Impressionist movement to redefine the boundaries of artistic expression. Today, AI is emerging as a parallel force, raising questions about what counts as “authentic” and how society interprets machine-generated crea

匹配字段正文

yna, Sam Manning, Pamela Mishkin, and Daniel Rock. 2024. "GPTs are GPTs: Labor Market Impact Potential of LLMs." Science 384 (6702): 1306-1308. Task-level exposure labels: https://github.com/openai/GPTs-are-GPTs . Hirsch, Barry T., David A. Macpherson, and William E. Even. Union Membership, Coverage, and Earnings from the CPS [dataset]. Unionstats.com, 2026. https://unionstats.com/ . Described in Hirsch, Barry T. and David A. Macpherson. 2003. "Union Membership and Coverage Database from the Cur

匹配字段正文

tools like gh , aws , gcloud , and sentry-cli when interacting with external services. CLI tools are the most context-efficient way to interact with external services. If you use GitHub, install the gh CLI. Claude knows how to use it for creating issues, opening pull requests, and reading comments. Without gh , Claude can still use the GitHub API, but unauthenticated requests often hit rate limits. Claude is also effective at learning CLI tools it doesn’t already know. Try prompts like Use 'foo

匹配字段正文

n eval set for a support agent and score it with a script that calls OpenRouter. You measure how much the results move between runs with nothing changed, then wire the script into GitHub Actions as a required status check. Tl;dr A fixed eval set is a list of test cases committed to your repository. It changes only through a reviewed pull request; Filter at the job level rather than the workflow level. GitHub reports a job skipped by an if condition as a passing check, while a workflow skipped by

匹配字段正文

ropics/claude-code-playground. SHARING YOUR MOD A mod is a Claude Code plugin, so you share it the same way as any other plugin, and there's nothing new to learn. Put the mod in a GitHub repo with a marketplace file and that repo becomes your marketplace. Anyone can install from it, and you can update it with a normal push. Installing takes three commands in Claude Code: The mod starts when you reload. If it doesn't show up, restart Claude Code. A mod is code that runs inside Claude Code on your

匹配字段正文

ng been open and extensible, letting teams adapt it to their software delivery needs while allowing developers to use the forge of their choice. Connecting established forges like GitHub, GitLab, and Bitbucket is already well supported through plugins. Forges built for AI coding agents raise a new question: how your platform team integrates the first one will shape how it integrates the rest? The latest agentic forge, Cursor Origin was announced in June 2026 and opened early beta in August. Curs

匹配字段正文

l follow Microsoft has administrative controls for SQL Copilot, including controls to disable Copilot, configure group policies, and set an execution context. The slides of the presentation can be found here. Trust No AI. References Slides: From SELECT to SYSADMIN. Hacking SQL Copilot in SSMS; Admin controls for GitHub Copilot in SQL Server Management Studio; SQL Copilot in SSMS: System Prompt; CVE-2026-65669: Microsoft SQL Server Elevation of Privilege Vulnerability Newer →; Contact me; ← Older

匹配字段正文

models, where repeated computation across multiple HSTU layers would otherwise add significant latency. You can reproduce and extend this workflow from the NVIDIA/ recsys-examples GitHub repo. The HSTU overview introduces the GR model structure, including contextual tokens, item tokens, action tokens, embedding tables, HSTU blocks, and prediction heads. The AOTI inference guide walks through building the required images and libraries, preparing KuaiRand-1K data, training a checkpoint, exporting

匹配字段正文

k to each other (Step 4). Finally, Step 5 shows how any one team can ship a new version of its agent without disturbing the others. The complete sample is in the AgentCore samples GitHub repository. Prerequisites Before you begin, make sure you have: An AWS account, with credentials for a principal that can create infrastructure. This sample creates AWS Identity and Access Management (IAM) roles, an S3 bucket, ECR repositories, and an AgentCore capacity provider and runtimes; AWS Command Line In

匹配字段正文

— now generally available — helps users learn, research, code and iterate across the AI loop, analyzing runs, proposing experiments, recommending code changes and storing them in GitHub, and bringing back actionable evidence that analyzes experiment data, surfaces what drove a change and proposes the next experiments to run; CoreWeave Agent Lens — a new service — turns production agent observability into continuous improvement and understandable insights. It improves failure detection by 20% an

匹配字段正文

. Filtering dispatches for pull requests merged to main requires action to be closed with a merge signal and base branch as main. The merge signal is indirect. PyTorch doesn’t use GitHub’s merge button that means PRs are closed, then PyTorchBot squash-merges and applies a “Merged” label. So detecting a landed PR requires checking for that label: Edge case: A race condition can cause the label to be applied after the dispatch, or a manual merge may skip the label entirely. Defensive handling (e.g

匹配字段正文

RM learns the full reward distribution, preserving disagreement, uncertainty, and multiple plausible judgments. ✨ Paper:https://t.co/wS1fmHBeRV 🤗 Models: https://t.co/RGTU759A5y 💻 GitHub: https://t.co/KAow6DcoNn Why it matters: Human disagreement is structured, not just noise. On datasets with repeated annotations, judgments often form separated or polarized patterns. More importantly, as human disagreement increases, DRM’s learned reward distribution becomes increasingly multimodal. The distrib

匹配字段正文