Pai 的 AI 雷达
今天：Action-Value Calibration via（Agent 原型），滴滴开源 HelixHarness（Agent 原型）。并行还有 How Anthropic ships、[AINews] Anthropic files。
arXiv:2610.37195v1 Announce Type: cross Abstract: Reinforcement learning for long-horizon agents relies on feedback from sequences of interactions, making credit assignment to individual actions difficult. Existing methods such as GiGPO compare actions at shared states to compute
📌 一句话摘要 滴滴技术团队开源 HelixHarness，通过结构化工程上下文和标准化工作流，解决 AI Agent 在复杂真实工程环境中的稳定交付问题。 📝 详细摘要 本文介绍了滴滴金融技术团队开源的 HelixHarness 项目，旨在解决 AI Coding 在团队落地过程中面临的工程化支撑不足、过程不可观测、评测缺失及框架适配等挑战。通过构建 Knowledge、Harness、Specs、Hooks 四层工程上下文，将项目知识、规范约束和需求契约结构化，并结合初始化、方案设计、执行和验证的标准工作流，确保 Coding Agent 能够理解项
Watch the full episode on YouTube As we learned from the Anthropic S-1 filings yesterday , the lab has some of the highest revenue and research efficiency in human history, particularly with -126% loss to 19% GAAP profit turnaround in the last year. The company credits this to th
Today is one of those days that is tougher to cover for a normally-engineer audience that isn’t used to reading most S-1’s, let alone 350 pages of one of the most unusual S-1’s of all time : Better visualized: With significant operating leverage causing the first profitable quart