设计 AI 评测:先求清晰,再谈可视化
Google AI:DEV 作者专属(RSS): 设计 AI 评测:先求清晰,再谈可视化
本文演示如何用开源评测框架 Inspect AI 和 Harbor 评估 agent 技能,并借助 Google Sheets 和 Data Studio 进行可视化分析。
TL;DR · 2026-08-18
2026-08-18 的小雯 AI 机会导航共收录 36 条 AI 创业机会信号,覆盖模型发布、AI 产品、创业融资、Agent 自动化、论文研究与安全监管六个分类。当日最值得关注的三条是:设计 AI 评测:先求清晰,再谈可视化;一个实用的深度思考Prompt:用"双向钢人论证"让AI帮你挖出最本质的答案;用 Google 的 Agent Development Kit 构建零信任 AI 智能体。
| 分类 | 信号数 | 说明 |
|---|---|---|
| 模型发布 | 5 条 | 13.9% |
| AI产品 | 8 条 | 22.2% |
| 创业融资 | 6 条 | 16.7% |
| Agent自动化 | 8 条 | 22.2% |
| 论文研究 | 6 条 | 16.7% |
| 安全监管 | 3 条 | 8.3% |
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Google AI:DEV 作者专属(RSS): 设计 AI 评测:先求清晰,再谈可视化
本文演示如何用开源评测框架 Inspect AI 和 Harbor 评估 agent 技能,并借助 Google Sheets 和 Data Studio 进行可视化分析。
公众号:数字生命卡兹克: 一个实用的深度思考Prompt:用"双向钢人论证"让AI帮你挖出最本质的答案
作者基于Reddit上"让Claude真正开始思考"的帖子,引入逻辑学中的"钢人论证"(steelman)概念,并自创了一个"双向钢人Prompt"。该Prompt通过重述真实问题、强化正反双方观点、找出关键变量、逼AI给出明确判断四步,旨在避免模型谄媚,帮助用户找到问题最本质的答案。作者以自己选择公司司庆日的真实案例演示了使用效果。
Google Developers Blog(RSS): 用 Google 的 Agent Development Kit 构建零信任 AI 智能体
Google 开源了基于 ADK 和 Gemini 的零信任客服与退货智能体示例,演示如何防御提示注入等攻击。该架构在 LLM 上下文之外通过三层硬性安全机制保障:硬件支持的加密签名确保数据库写入不可抵赖、gVisor 沙箱隔离动态代码执行、确定性语义网关校验业务逻辑。系统提示词只是软约束,无法作为安全边界。
Hacker News 热门(buzzing.cc 中文翻译): Cursor 推出 Origin 代码托管服务,作为 GitHub 的替代方案
Cursor 今日起向所有付费计划用户开放 Origin 代码托管的早期测试版,提供仓库、拉取请求、代码浏览及 GitHub 同步功能。用户可创建以 cursor.com/codebase/ 为前缀的仓库,或将 GitHub 仓库同步至 Origin,双向同步评论与审查。Vercel、Depot 和 Buildkite 集成已可用,智能体功能即将推出。
Hacker News 热门(buzzing.cc 中文翻译): 404 Media 追踪珍本图书流向:亚马逊批量购书扫描用于 AI 训练后销毁
404 Media 通过在一本珍本图书中放置追踪设备,首次揭露亚马逊未公开的购书行动:批量购入大量书籍,扫描用于 AI 训练数据,随后销毁。追踪显示这些书最终被送往亚马逊的一处人工智能训练中心。
Hacker News 热门(buzzing.cc 中文翻译): 如何禁用或避免侵入式 AI:一份覆盖 Windows、Chrome、Edge、Firefox 及主流应用的实用指南
一份面向希望减少技术环境中侵入式 AI 的用户的操作指南,涵盖 Adobe Acrobat、Android/Gemini、Apple Intelligence、Chrome、Edge、Firefox、DuckDuckGo、Google Workspace、Slack、WhatsApp 及 Windows 11/Copilot 等平台。
X:Jensen Huang (@JensenHuang): 黄仁勋宣布与SB Energy合作,为OpenAI建AI工厂
黄仁勋宣布NVIDIA与SB Energy合作,在俄亥俄州PORTS-Pike科技园区锁定LPS容量,专供NVIDIA AI工厂使用,OpenAI将作为租户。初始部署预计提供4.25吉瓦AI工厂容量,每代系统约150万块NVIDIA GPU,对应1500亿至2000亿美元收入。OpenAI已承诺至2030年部署约12吉瓦NVIDIA算力,可扩展至16吉瓦,总机会约6000亿美元。
NVIDIA Blog(RSS): NVIDIA 与 SB Energy 合作锁定俄亥俄州 PORTS-Pike 园区电力容量,OpenAI 将入驻
NVIDIA 宣布与 SB Energy 合作,锁定俄亥俄州 PORTS-Pike 科技园区的电力容量(LPS)以独家部署 NVIDIA 算力,OpenAI 将成为租户。
IT之家(RSS): A 股迎来"人形机器人第一股",宇树科技官宣 8 月 19 日科创板上市
宇树科技宣布股票将于 2026 年 8 月 19 日在科创板上市,发行价 150.80 元/股,对应市值约 609.93 亿元,预计募资约 60.99 亿元。该公司 2023 至 2025 年营收分别为 1.59 亿元、3.93 亿元和 16.99 亿元,净利润分别为-1114.51 万元、9547.47 万元和 2.78 亿元,是全球少数实现盈利的高性能通用机器人公司。
蚂蚁 inclusionAI:GitHub 新仓库: inclusionAI 开源 ConceptEdit:基于概念缩放与密集监督的图像编辑数据生成管线
蚂蚁集团 inclusionAI 开源 ConceptEdit,一个基于概念缩放与密集监督的图像编辑数据生成管线。该管线通过三阶段流程(VLM 生成指令、FLUX 执行编辑、VQA 评估筛选)构建大规模、基于分类法的图像编辑数据集,并提供单概念与多概念两种变体。项目采用 MIT 许可证,支持断点续跑,需 OpenAI 兼容 VLM 端点与本地 FLUX 检查点。
OpenAI:官网动态(RSS · 排除企业/客户案例): OpenAI 如何用前沿智能加固自身防御:The Defender's Window
OpenAI 在 OpenAI-Hugging Face 事件后反思低估了模型真实网络攻击能力,正通过四大支柱强化自身安全:用 Codex 验证代码漏洞、用智能体优先分流安全告警、持续枚举攻击路径,并仅向可信防御者开放网络能力。文中演示 ChatGPT Work(基于 GPT-5.6 Sol)15 分钟发现个人网站 13 个问题并在一小时内完成修复。
OpenRouter:Announcements(RSS): OpenRouter 推出 Activity 仪表盘与 Analytics API:按智能体、模型、请求追踪 AI 使用成本
OpenRouter 发布 Activity 仪表盘和 beta Analytics API,可按智能体、模型、请求维度查看支出、token 量、缓存命中率等指标,并支持下钻至单条请求日志。
AI HOT日报 / 产品发布/更新: OpenRouter 图像生成 API:代码优先的接入教程
OpenRouter 推出专用图像生成 API,通过统一请求格式和单一密钥即可调用多个提供商的图像模型。开发者向 POST /api/v1/images 发送请求,响应中的 data[0].b64_json 包含 base64 编码的图像数据,解码后即可保存为本地文件。教程演示了 Python 和 JavaScript 两种实现,并支持通过 input_references 传入参考图像生成变体。
AI HOT日报 / 产品发布/更新: AgentCore Payments 中间件为 LangChain 智能体提供 API 支付能力
AgentCore Payments 中间件让 LangChain 智能体以确定性会话预算支付 API 费用。该中间件为 x402 支付签名,LangSmith 可追踪每一笔支付记录。
AI HOT日报 / 产品发布/更新: Claude Code v2.1.234 发布:新增项目目录名变量与 GitLab MR 徽章,修复多项安全与稳定性问题
Claude Code v2.1.234 新增可选 CLAUDE_CODE_PROJECT_DIR_NAME 环境变量、selection:clear 键绑定及 GitLab MR 徽章,并在用量限制重置后自动继续会话。
AI HOT日报 / 行业动态: OpenAI 为 14 个独立项目提供资助,推动智能时代经济机遇与韧性研究
OpenAI 宣布向 14 个由独立组织主导的项目提供总计 100 万美元资金及最高 100 万美元 API 额度,以推动 AI 进步下的经济机遇与社会韧性研究。
AI HOT日报 / 论文研究: PhotoScan:用智能手机照片估算胰岛素抵抗,精度接近DXA
Google Research 推出 PhotoScan,一种从智能手机 2D 照片直接估算三维身体成分的深度学习框架,可预测胰岛素抵抗,在临床研究中精度接近 DXA 扫描。
AI HOT日报 / 技巧与观点: 开源模型生态的未来:Nvidia 押注“教所有人炼 token”
开源模型生态正日益依赖 Nvidia 的资助,其已投入 260 亿美元推动近乎开源的模型开发,以扩大推理芯片需求。若此路径不奏效,开源模型将转向效率、可修改性等长尾场景,与闭源模型分化。同时,基础模型训练门槛升高,开源社区兴趣正从全量训练转向对 DeepSeek V4 Flash、GLM 5.X 等模型的微调。
AI HOT日报 / 技巧与观点: 同一集群利用率提升 33 个百分点:改变的是分配顺序
Hugging Face 构建了一个约束感知的 GPU 分配器,并在七个基准场景中与 FIFO 调度器对比。在相同硬件和负载下,GPU 利用率最高提升 33 个百分点,优先级加权输出在全部场景中均上升,最高达 105%。分配器将实时推理需求按曲线而非峰值处理,批量任务按优先级跨整个调度周期排序,从而回收了预留闲置容量。
AI HOT日报 / 技巧与观点: ABC Legal 如何借助 Claude Managed Agents 让每位员工成为构建者
ABC Legal 为 1,100 名员工部署 Claude Enterprise 后,通过 Claude Managed Agents 将零散实验转变为受治理的智能体体系,截至 2026 年 7 月已上线 50 多个生产级智能体,部分覆盖的人工任务成本降低约 50%,约 310 名员工日常使用 Claude。
AI HOT日报 / 技巧与观点: 当模型持续学习:测试时训练如何改变 AI 的记忆与成本
测试时训练(Test-time training)让模型在使用中持续更新权重,而非训练结束后冻结。相比标准 Transformer,其内存需求从随上下文线性增长变为恒定,斯坦福研究显示推理速度最高可提升 2.7 倍,且 In-Place TTT 无需重训即可将 4B 模型提升至 128k 上下文性能。但代价是每个用户需独立模型副本,服务成本转向算力与芯片,更适合编码助手等个性化场景。
AI HOT日报 / 技巧与观点: SGLang 重构 CUDA Graph 支持,Breakable CUDA Graph 成 prefill 默认方案
SGLang 重构 CUDA Graph 支持,通过 runner/backend 接口拆分使不同捕获策略可复用。其社区首创的 Breakable CUDA Graph(BCG)现为 prefill 默认方案,代码量仅为 torch.compile 方案的约四分之一(521 行对比 1,771 行),构建速度快 3.8–5.2 倍。
Groq raises $350M to fuel its pivot from AI chips to neocloud
Groq raised $350 million at a $3.5 billion valuation as the former AI chipmaker pivots to a neocloud business and expands its Nvidia-powered data center footprint.
VentureBeat AI: Google just redesigned the search box for the first time in 25 years — here’s why it matters more than you think.
For a quarter century, the Google search box has been one of the most recognizable interfaces in computing: a thin white rectangle, a blinking cursor, a few typed words, and a list of blue links. On Tuesday, Google will formally retire that paradigm. At its an...
Railway secures $100 million to challenge AWS with AI-native cloud infrastructure
Railway , a San Francisco-based cloud platform that has quietly amassed two million developers without spending a dollar on marketing, announced Thursday that it raised $100 million in a Series B funding round, as surging demand for artificial intelligence app...
Claude Code costs up to $200 a month. Goose does the same thing for free.
The artificial intelligence coding revolution comes with a catch: it's expensive. Claude Code , Anthropic's terminal-based AI agent that can write, debug, and deploy code autonomously, has captured the imagination of software developers worldwide. Bu...
Listen Labs raises $69M after viral billboard hiring stunt to scale AI customer interviews
Alfred Wahlforss was running out of options. His startup, Listen Labs , needed to hire over 100 engineers, but competing against Mark Zuckerberg's $100 million offers seemed impossible. So he spent $5,000 — a fifth of his marketing budget — on a billboard...
Salesforce rolls out new Slackbot AI agent as it battles Microsoft and Google in workplace AI
Salesforce on Tuesday launched an entirely rebuilt version of Slackbot , the company's workplace assistant, transforming it from a simple notification tool into what executives describe as a fully powered AI agent capable of searching enterprise data, dra...
VentureBeat AI: Anthropic launches Cowork, a Claude Desktop agent that works in your files — no coding required
Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its wildly successful Claude Code tool to non-technical users — and according to company insiders, the team built the entire feature in approximately a week and a half, la...
Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment
Nous Research , the open-source artificial intelligence startup backed by crypto venture firm Paradigm , released a new competitive programming model on Monday that it says matches or exceeds several larger proprietary systems — trained in just four days using...
OpenAI and Anthropic in price war as Chinese AI rivals gain ground
US groups release cheaper models after new challenges to their trillion-dollar ambitions. Leading US AI labs such as OpenAI and Anthropic are releasing cheaper models as they fight to retain cost-conscious customers who are switching to cut-price alternatives ...
What happens when a kid’s robot best friend dies?
When Xander first met Moxie, she taught him that when he was anxious, he could calm down by exhaling through his lips so that he buzzed like a bee. They practiced breathing like dragons to manage feeling mad and sniffing like bunnies to boost his energy. But i...
How kids feel about AI, in their own words
When we set out to talk to kids about artificial intelligence, we thought we knew what we’d hear. We expected some to tell us they were using it to cheat a little, the way Millennials and Gen Xers opened up CliffsNotes or programmed formulas into their TI-82s,...
AI professors are negotiating the new realities of academic research
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Last week, I headed 30 miles south of San Francisco to a hotel in Mountain View, California, to join some of the most acco...
AI for science needs reasoning, not just data
Every few decades, someone announces that science has reached its end. In 1903, the revered physicist Albert Michelson wrote that the “facts of physical science have all been discovered.” In the 1980s, Stephen Hawking predicted that theoretical physics might b...
These startups are chasing the next big thing in LLMs
MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here. Way back in the summer of 2017, AI researchers at Google put out a paper called “Atten...