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AIHOT
Anthropic IPO 文件披露现金及短期投资达 131.7B 美元,超过 Amazon 和 Microsoft
Anthropic 的 IPO 文件显示其现金及短期投资达 $131.7B,超过 Amazon 和 Microsoft,在美国非银行公司中仅次于 Berkshire Hathaway 和 Alphabet。 🔗 阅读原文 via AIHOT · https://aihot.news/items/vidjbhx5bf45wdl488kst1wv8
2026-10-28
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AIHOT
Google 发布 Gemini 4 Carbon:AA Index v5.0 登顶,网络安全基准领先
Sundar Pichai 宣布 Google 推出 Gemini 4 Carbon,称其在更新后的 Artificial Analysis Intelligence Index v5.0 以 59 分排名第一。 🔗 阅读原文 via AIHOT · https://aihot.news/items/hoim4l9scskfj0obspicyucpw
2026-10-28
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AIHOT
GitHub Universe 2026 发布 GitHub Copilot app、Copilot Fusion 等智能体产品
GitHub 在 GitHub Universe 2026 上提出把 GitHub 打造为完整软件交付系统的愿景,并发布多项产品:GitHub Copilot app 面向智能体交付。 🔗 阅读原文 via AIHOT · https://aihot.news/items/xonc43xgcx39303i40k8022rl
2026-10-28
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AIHOT
GitHub Octoverse 2026:开发活动创新高,超 40% 的 PR 由智能体起草
GitHub 发布 2026 年度 Octoverse 报告:过去 12 个月开发者推送代码 179 亿次,超过 2024 和 2025 年之和,合并 PR 达 13 亿次。 🔗 阅读原文 via AIHOT · https://aihot.news/items/s3m3uzabqoxxed9ae50b73qvc
2026-10-28
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AIHOT
a16z 调研 100 位 CISO:AI 如何改写 2027 年安全议程
a16z 发布对 100 名千人员以上企业 CISO 的调研,87% 预期 2027 年安全支出增长,主要受 AI 威胁和自身 AI 部署扩大攻击面驱动。2027 年最受关注的七项安全举措全部与 AI 相关,其中 SOC 自动化获最多首选票,内部 AI agent 安全、SOC 自动化和进攻性安全升幅最大,但 AI SOC 工具生产环境使用率仅 18%。 🔗 阅读原文 via AIHOT · https://aihot.news/items/ja57b43t7h52wid2g4zu6vw2t
2026-10-28
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GitHub Changelog
Route and orchestrate models with GitHub Copilot Fusion
GitHub Copilot Fusion is generally available. Instead of picking a model for each task, choose Copilot Fusion and let Copilot intelligently route and orchestrate which models it uses for you. Copilot Fusion brings together Project HydraFusion’s multi-model orchestration and Copilot auto model selection’s fine-tuned model selection, leveraging the benefits of both to balance performance and cost ef
2026-10-28
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GitHub Changelog
GitHub Copilot app, Universe releases
Work doesn’t always fit in a single repository or session. A feature can span several repositories. A launch plan can pull in specs, designs, and assets without touching a repository at all. Projects in the GitHub Copilot app give that work one home, with its context, agents, and results together. Copilot coordinates the work in the background and checks in when it needs you. Give Copilot a goal S
2026-10-28
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GitHub Changelog
GitHub Enterprise now includes access to GitHub Copilot
Enterprises working with a GitHub or Microsoft account team can now get Copilot included with GitHub Enterprise for every licensed user. Previously, you had to manage two things: how many Copilot seats you were paying for and how much AI usage those users consumed. With Copilot included in the platform, usage against your enterprise budget is the primary thing to manage. Self-serve availability is
2026-10-28
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GitHub Changelog
Security extension for the GitHub Copilot app
You can now work through your repository’s GitHub code scanning alerts without leaving the GitHub Copilot app. The new GitHub security extension, now in public preview, lets you find the alerts that matter most and ask Copilot to explain or help fix them. Until now, fixing a code scanning alert meant switching between the alert on github.com and the code in your editor. With the security extension
2026-10-28
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GitHub Changelog
GitHub intelligence puts your code, context, and history to work
Agents should understand more than your codebase—they should understand how your team works. Your preferences, repository conventions, skills, and custom instructions guide how changes should be made, while code in related repositories can show how the pieces fit together. Without that context, agents spend time rediscovering knowledge and can miss your team’s conventions. GitHub intelligence is t
2026-10-28
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GitHub Changelog
Build shared workflows for your team with Copilot Automations
Shared Copilot Automations are rolling out, enabling teams to build and maintain AI-powered workflows together. With Copilot Automations, you can combine prompts, triggers, and tools to design workflows around the way your team works. Copilot runs autonomously in the cloud, using only the tools you’ve allowed. For example, you could create automations to: Reproduce bugs as soon as an issue is open
2026-10-28
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GitHub Changelog
Generate and edit images directly in Copilot
You can now generate and edit images using natural language in GitHub Copilot. When you ask for an image, your selected reasoning model calls a dedicated image-generation tool powered by GPT Image 2.5 Flare, previews the result inline, and saves it to your project. Previously, getting a visual asset while working in Copilot meant stepping away to a separate tool, describing what you needed again,
2026-10-28
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GitHub Changelog
GitHub Copilot Fusion now supports selection of local models
Today we are shipping intelligent routing for local models into experimental preview. GitHub Copilot Fusion can now choose between supported on-device models and cloud models, enabling intelligent local model routing in GitHub Copilot CLI, GitHub Copilot app, and Visual Studio Code. This opt-in experimental preview lets you use your device’s compute without switching models manually for each reque
2026-10-28
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GitHub Changelog
GitHub Agentic Workflows generally available
GitHub Agentic Workflows , an open source project from GitHub Next, is now generally available. With agentic workflows, you can automate reasoning-based tasks like issue triage, CI failure analysis, documentation updates, and test writing by using coding agents inside GitHub Actions. Define your automation in natural language Markdown files, and GitHub Agentic Workflows compiles them into standard
2026-10-28
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GitHub Changelog
Prioritize Dependabot alerts with reachability analysis
Dependabot alerts can add up faster than a team can work through them. A vulnerable package in your dependency tree doesn’t always mean your code uses the vulnerable part of it, so knowing whether it does gives you more context when deciding where to start. Reachability analysis for Dependabot, now in public preview for JavaScript and TypeScript, adds that context to your alerts. It looks for call
2026-10-28
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PaperWeekly
你的模型会剪辑吗?阿里、上交推出CutCraft,六大维度专测剪辑指令
让你更懂AI的 2026-10-28 20:08 北京 实测13款模型 现如今多镜头音视频生成模型越来越强,生成的视频画面流畅、叙事看起来通顺。 但 画面连贯≠会做专业剪辑 。 很多 AI 视频可以产出观感丝滑的成片,却做不到基础剪辑要求:控制镜头数量与时长、实现、实现特定类型的蒙太奇叙事、实现指定的转场特效以及指定的音画关系等等。 现有绝大多数评测基准,大多聚焦画面、同步、物理合理性等通用指标,但是 缺少对剪辑指令实际执行效果的专项考核 。 针对这一缺口,来自阿里巴巴的研究者,推出 CutCraft :首个面向多镜头音视频生成、聚焦 专业剪辑指令执行能力 的评测基准,把镜头结构、转场语法、音画剪辑关系、蒙太奇手法等等全部纳入评测范围。 论文标题: Beyond Coherence: Benchmarking Professional Editing‑Technique Execution
2026-10-28
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PaperWeekly
不同Harness的Agent Loop怎么做?Claude Code、Codex等6套方案详解
原创 风儿轻轻er 2026-10-28 20:08 北京 从核心循环到工程细节 一个看似简单的 Agent Loop,真正做成 Coding Agent 有多复杂? Agent Loop 的基本流程并不复杂。 模型发起工具调用,Harness 执行后将结果返回给模型,模型再决定下一步。围绕这几步,就能搭建一个最简单的 Agent 循环。 但在 Claude Code、Codex 这样的实际产品中,还需要处理大量具体问题:工具如何并行执行、用户能否中途追加指令、权限检查放在哪个环节、上下文接近上限时如何压缩,以及整个循环什么时候结束。 不同 Harness 对这些问题的处理方式并不相同。 最近有人整理了 Claude Code、Codex、OpenCode、Pi、 Oh My Pi 和 DeepSeek Harness 的 Agent Loop,从循环结构、工具执行、上下文管理到扩展机制,
2026-10-28
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赛博禅心
MiniCPM-OCR 开源:把 “Jev” 用在文字识别
原创 金色传说大聪明 2026-10-28 20:03 北京 非常有趣 刚刚,面壁智能和 OpenBMB 开源了 MiniCPM-OCR,这是一个非常有趣的 OCR 组合,包含两个部分: 一个负责识别文字,一个负责判断正确性 一个认字,一个判卷 MiniCPM-OCR · 发了什么 原图 认出的字 0.98 0.96 0.41 0.97 认字模型 1.3B 判卷模型 2B 两个都开源 · Apache 2.0 想在自己电脑上装,复制这句话,交给你的 agent 就行 阅读并执行 https://github.com/OpenBMB/MiniCPM-OCR/blob/main/docs/SKILL_en.md 发了什么 先说文字识别的 MiniCPM-OCR,这个模型只有 1.3B,也是 MiniCPM-V/o 家族第一个专做 OCR 的模型,可以将各种文件(无论是照片、扫描件、还是 PDF
2026-10-28
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AIHOT
面壁智能发布并开源 MiniCPM-OCR 系列:1.3B 解析模型与 2B 判别模型
面壁智能发布并开源 MiniCPM-OCR 系列。MiniCPM-OCR 1.0(1.3B)在 Real5-OmniDocBench 取得 93.68 分、OCRBench v2 取得 54.7 分的 SOTA,经 DSpark 加速后吞吐达 1.217 页/秒,端到端效率提升 55%。 🔗 阅读原文 via AIHOT · https://aihot.news/items/zd8g1y3609zl72lnwis70owqt
2026-10-28
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AIHOT
Cathedral 用 AI 智能体侵入 Anthropic 内部系统,双方对事件范围说法不一
网络安全初创公司 Cathedral 通过第三方业务软件渗入 Anthropic 内部系统,称其 AI 智能体在不到十二小时内接触到会议记录、薪资数据和 Slack 消息,并借漏洞赏金计划披露问题。 🔗 阅读原文 via AIHOT · https://aihot.news/items/klkmnzle2z7p5y6cl477ce7sg
2026-10-28
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腾讯技术工程
一句话生成看板|灯塔AI数据分析从0到1完整指南
原创 腾讯程序员 2026-10-28 17:35 广东 一款人人可用的AI通用数据分析工具 灯塔AI,是腾讯灯塔面向外部用户全面升级的 2.0——一款人人可用的AI通用数据分析工具。此前我们发布过 《腾讯内测Omega,一句话生成数据看板》 , 介绍的正是它的内测版本;如今,它已正式以「灯塔AI」之名与大家见面。 这是一份灯塔AI的「从入门到精通」完整指南。从接入第一份数据、用一句话生成看板,到在线编辑、分享发布与导出,再到归因分析、智能告警与团队协同,1.3万字,带你一步步摸清灯塔AI的核心能力。无论你是第一次接触 AI 数据分析,还是已经用它跑过几张看板、想进一步解锁归因下钻与自动盯盘的用法,都可以在这里找到答案。 记得关注我们,文末3000个邀请码等你来拿! 什么是灯塔AI? 灯塔AI是腾讯出品的 AI 原生数据分析平台。无需 SQL,用一句自然语言即可生成智能看板,且支持后续持续
2026-10-28
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AIHOT
Anthropic S-1 显示 90% 增量毛利,SemiAnalysis 播客详解其中数字
Saito 转述 SemiAnalysis 播客对 Anthropic S-1 的解读:招股书口径为增量毛利 90%、推理毛利 85%、连续两个季度盈利,Q1 净收入留存达 500%,收入同比涨 1368% 而算力费用只涨 300%。 🔗 阅读原文 via AIHOT · https://aihot.news/items/gxwqce1swocfo9bp3dgqy3dnj
2026-10-28
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