Pai 的 AI 雷达

产品接入

今天:GitHub Actions 迁移至(The Ubuntu 26),GitHub Actions 工作流触发保护。并行还有 测量前沿实验室的 AI 发展速度、The future of practice、Making global data。

日期
2026/09/18
今日条目
103
当前类目
19
#01

GitHub Actions 迁移至 Ubuntu 26.04

The Ubuntu 26.04 runner image for GitHub Actions is now out of public preview and fully supported for production workflows on both x64 and arm64. As part of this release, the ubuntu-latest label will migrate to Ubuntu 26.04, giving you the latest supported Ubuntu release by defau

推荐理由该功能可用于在 GitHub Actions 中直接基于正式发布的 Ubuntu 26.04 运行 x64 和 arm64 架构的生产级自动化构建与测试工作流,并通过默认的 ubuntu-latest 标签无缝接入最新的系统环境与依赖组件,无需手动维护旧版镜像即可保障持续集成流程的现代性与稳定性。
产品接入GitHub Changelog
#02

GitHub Actions 工作流触发保护 GA

Workflow execution protections for GitHub Actions, previously in public preview, are now generally available for GitHub Enterprise, organizations, and repositories. Execution protections let you define an allowlist that controls who can trigger an Actions workflow and what events

推荐理由该功能可用于在 GitHub 企业、组织及仓库中通过配置白名单,精准控制谁能够触发 GitHub Actions 工作流以及允许哪些事件触发执行,从而有效防止未授权操作或异常事件随意触发自动化流水线,全面保障核心工作流的运行安全与合规性。
产品接入GitHub Changelog
#05

Making global data easier to explore

Google and the UN system have launched the UN System Data Commons, a new open platform making global statistics accessible and easy to search.

推荐理由该平台可用于集中检索并获取来自联合国的各项权威全球统计数据,便捷对比不同国家与地区的社会发展指标,深入探索跨领域的国际统计趋势,从而高效支撑各类数据分析、报告撰写以及全球性议题的深度研究与决策参考。
产品接入Google AI
#06

REVERSAL-BENCH: A Reversibility Axis and Reset Oracle for Measuring the Reset-Free RL Cliff

A central goal of autonomous reinforcement learning is continuous policy training without external resets. However, existing paradigms largely depend on underlying environmental reversibility, a property absent in real world manipulation, where events such as pushing objects off

推荐理由REVERSAL-BENCH: A Reversibility Axis:A central goal of autonomous reinforcement learning is continuous policy training。
产品接入Apple ML Research
#08

Microsoft exec called AI scraping ‘the largest theft of labor in human history,’ new unredacted filings reveal

Newly unsealed court filings show Microsoft privately called OpenAI's data practices "theft" while both companies scraped paywalled Times content, built datasets from it, and warned internally it would gut publishers.

推荐理由Microsoft exec called AI scraping ‘:Newly unsealed court filings show Microsoft privately called OpenAI's data practices。
产品接入行业观察TechCrunch AI
#10

Automate SSO authorization for classic PATs and SSH keys

Enterprise admins can now automate SSO authorization for existing classic personal access tokens (PATs) and SSH keys for organizations in GitHub Enterprise Cloud, replacing manual per-organization authorization by your developers. If your enterprise has multiple SSO-protected org

推荐理由Automate SSO authorization for classic:Enterprise admins can now automate SSO authorization for existing classic personal。
产品接入GitHub Changelog
#11

SCIM user responses now include a profileUrl attribute

SCIM user responses from GitHub now include the standard profileUrl attribute defined by RFC 7643, containing the absolute URL of the GitHub account linked to the external identity. Previously, matching a SCIM record to the corresponding GitHub account required extra lookups or i

推荐理由SCIM user responses now include:SCIM user responses from GitHub now include the standard profileUrl attribute defined。
产品接入GitHub Changelog
#17

Code scanning AI Scan no longer requires CodeQL default setup

You can now use AI Scan for pull requests to find security vulnerabilities, even when CodeQL default setup isn’t enabled on a repository. Previously, AI Scan for pull requests only ran on repositories where CodeQL default setup was configured. What’s changed Code scanning and AI

推荐理由Code scanning AI Scan no longer:You can now use AI Scan for pull requests to find security vulnerabilities, even when。
产品接入GitHub Changelog
#18

DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models

Diffusion large language models are a compelling alternative to autoregressive models, yet existing RL methods for diffusion treat all denoising steps as equally important and rely on biased, high-variance likelihood estimates. We identify two fundamental weaknesses: the absence

推荐理由DACA-GRPO: Denoising-Aware Credit:Diffusion large language models are a compelling alternative to autoregressive models。
产品接入金融Apple ML Research
#19

Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation

Discrete flow matching generates text by iteratively transforming noise tokens into coherent language, but may require hundreds of forward passes. Distillation uses the multi-step trajectory to train a student to reproduce the process in a few steps. When the student underperform

推荐理由Trajectory as the Teacher: Few-Step:Discrete flow matching generates text by iteratively transforming noise tokens into。
产品接入Apple ML Research