Skip to content

#Trends

0 items today
10/6Tue
  1. 宝玉71

    SemiAnalysis 实测 Anthropic、OpenAI 等九家 AI 订阅套餐后得出,同样 200 美元,Claude 订阅折算的 Token 用量约为 OpenAI 的 5 倍。

    Awaiting translation

    QuotedSemiAnalysis@SemiAnalysis_

    Anthropic Subscriptions Offer 5x+ More Value Than OpenAI Limit testing every AI subscription plan from Anthropic, OpenAI, Meta, SpaceXAI, MiniMax, Moonshot, Zdotai, Cursor, and Cognition https://newsletter.semianalysis.com/p/anthropic-subscriptions-offer-5x

10/5Mon
  1. Shreya Shankar28

    一位五年多没用过 BI 工具的人看完 Rippling 案例后认为,对智能体而言,选工具/MCP 和选数据正变成同一个问题,业务逻辑与数据的边界越来越模糊。Rippling 数据团队仍靠人工检查智能体查询、发现模式后再建汇总表。传统 ELT 以推送为主,智能体让 BI 更偏向拉取:问题先到,系统再决定需要哪些数据、转换和工具。

    Awaiting translation

    Quoteddex@dexhorthy

    AI and GTM at Rippling: 🦄 ai that works with @vaibcode and @JohnKutay https://x.com/i/broadcasts/1XxygwaqOpyGM

10/4Sun
10/3Sat
  1. 宝玉62

    剑桥大学 AI 科学与政策项目(CASP)9 月发布一篇论文,Hinton、Bengio 等 20 多位研究者联名讨论 AI 研发被自动化后是否会引发智能爆炸,Hinton 在 X 上推荐了该论文。

    Awaiting translation

    QuotedGeoffrey Hinton@geoffreyhinton

    The idea of an intelligence explosion caused by recursive self improvement has been around for a long time but until very recently it did not seem imminent. Now many leading researchers think it may happen quite soon. You can read our paper about it here: https://casp.ac/reports/intelligence-explosion

9/26Sat
9/20Sun
9/15Tue
9/14Mon
8/23Sun
  1. Thorsten Ball · Register Spill12

    Joy & Curiosity #96:Stripe 以 75 亿美元收购 OpenRouter,GitHub 月提交量增至 29 亿

    Stripe 以 75 亿美元收购 OpenRouter,致投资人的信被曝光。GitHub 披露月提交量自 4 月以来从 14 亿增至 29 亿,新增 300 万 CPU 核心和 120 PB 高速存储。作者还回顾了 GitHub 开源贡献、StackOverflow、TDD、文本编辑器等曾被视为基石的开发实践在近两年的式微。

    Awaiting translation

8/2Sun
7/22Wed
  1. Augment Code · Blog62

    What is loop engineering, and how are leading software engineering teams using it?

    Augment Code proposes loop engineering: designing agent loops that run from trigger to execution to validation to outcome, with agents handling the intermediate steps and humans stepping in only at checkpoints that require judgment. The article compares loop engineering with prompt engineering and context engineering as distinct layers, lays out five stages—trigger, execution, validation, outcome, and improvement—and describes four team-level loops already running in production: code review, ticket-to-PR, vulnerability remediation, and incident response.

    Why it matters: Augment Code breaks loop engineering into five stages—trigger, execution, validation, outcome, and improvement—and lays out four team-level loop patterns already running in production.

4/22Wed
  1. Lovable · Blog71

    Lovable 回应 2026 年 4 月安全事件:公开项目聊天记录与源码曾被越权访问

    Lovable 官方回应 2026 年 4 月安全事件:2026 年 2 月 3 日至 4 月 20 日期间,任何持有项目链接的 Lovable 用户都可能访问公开项目的聊天记录和源码,私有项目与 Lovable Cloud 未受影响。

    Awaiting translation

    Why it matters: Lovable 官方复盘公开项目聊天记录与源码被越权访问的完整时间线,并给出产品与流程层面的整改清单。

4/7Tue