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剛下飛機就直接來看 Frontier 交易賽 第一名的獎勵是一台 911 ，@idatsy 整個比賽下來大概賺了 35 萬吧，全程沒用技術指標超強 先開多 Hype 賺了 19 萬，總決賽開空 Link (500倍槓桿) 賺 15 萬，賺的錢能再買一台跑車，盈利和其他選手比是斷層 我旁邊的老外是 @jadoodoo 的粉絲我們在那瘋狂喊 Jadoodoo。因為能開100x，很多選手直接爆倉 @joinfrontier 還是一如既往的熱鬧

11月13日，本地大模型推理引擎 llama.cpp 与底层张量库 ggml 同步发布 1.0.0，这是项目诞生 3 年半以来的首个正式大版本。 这次升级的看点是接口契约：删除 35 个废弃函数，今后任何破坏 API/ABI 兼容的改动都以主版本号跳升明确标示。 依赖它的应用开发者，从此能提前规划迁移。 新版本还补齐一批功能：新增 FP8 键值缓存与 MoE 模型的主机内存专家缓存，加固推理服务器防御 SSRF、跨域和 DNS 重绑定攻击，并加入兼容 OpenAI 的语音合成接口与全新网页界面。 llama.cpp 如今支持超过 150 种模型架构，个人电脑断网也能跑大模型，是本地 AI 生态最常用的地基之一。 里程碑式 1.0，意味着开源本地推理真正进入稳定期。

【OpenAI与Shield合作，帮助技术人员交接旧系统门户工作】 为IT服务商开发AI操作系统的Shield，在Forge平台上使用OpenAI的GPT-6 Astra。 Forge的AI工程师把任务派给计算机操作智能体，由智能体操作没有API的旧系统门户。 技术人员可以设定哪些操作由智能体独立完成，哪些需要人工审核或者批准。 Shield表示系统已经上线，每月运行数千次，速度比之前的计算机操作模型平均快35%到40%。 电话、上门和远程桌面类任务仍然需要人工，远程桌面流程正在测试。 我猜测没有API的旧门户是IT外包里最难自动化的一块。 来源：Inside AI · 2026-11-14

Open source models on top again. Deepnote tested 12 models in 50 professional situations where an agent must independently decide whether and where to speak up. DeepSeek V4.1 Flash scored 6.35 out of 10, surpassing Claude Haiku 5.5 (6.05), Gemini 4 Argon (5.60) and Grok 4.7 (4.51). GPT-6 Astra takes first place with a score of 8.97.

At @SpaceXSI, Lauren Tan (@poteto) and Roman Ugarte (@romanugarte_) are on the core team that took Grok Bot from first line of code to launch in seven weeks. It lets you spin up AI teammates with their own identities and logins, and they just keep working in the background. Their marketing team gave a bot its own ad budget. Lauren built an entire feature with her bot in one Slack thread without ever opening Cursor. They joined us on the @LightconePod to talk about what it’s actually like working next to bots every day, and how the hard part is shifting from doing the work to figuring out what to do and why. 03:36 — Giving Bots Real Jobs 06:49 — One Bot or a Team of Specialists 10:39 — Sharing Bots Across the Company 14:46 — Identity and Permissions for AI Coworkers 18:37 — Bot-to-Bot Collaboration and Trust 22:35 — The Workflow Behind 4,000 PRs a Month 26:00 — Teaching Agents to Write Code You Trust 29:01 — Building a Personal Software Factory 33:44 — The Future of AI Coworkers 36:47 — Rethinking the AI-Native Company 40:13 — Teaching Agents to Check Their Own Work 43:56 — How Much Code Review Is Enough? 47:33 — Codebase Guardrails That Save Tokens 52:20 — When Product Judgment Becomes the Bottleneck 56:29 — From Finance to AI Engineering

The 6'10" Franz Wagner (8.3 APG) tossed up FOUR LOBS last night 😮‍💨 He finished with 35 PTS, 9 REB and 12 AST for his 4th consecutive game with 30+ PTS as the @OrlandoMagic improved to 2-0 in East Group A!