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本页 40 条今天 10月14日 周三
Google DeepMind 与新加坡政府宣布推出保护公民免受诈骗的新型 AI 工具
了解 Google DeepMind 和 GovTech Singapore 如何利用轻量级端侧 Gemma 模型，在不向云端传输任何数据的情况下，拦截私人聊天中的对话式诈骗。
Show HN: AI Hub – Open Access Lesson Plans for Teaching Students about AI
The AI Hub provides 91 curated lesson plans teaching middle and high school students about AI - how it works, what the risks and benefits of AI are, and how it is impacting society. These activities come from six different nonprofit organizations that are building educational resources for classrooms. Our nonprofit worked with 16 different teachers to comb through more than 200 different resources, with the teachers vetting these resources to find the best resources for their classrooms. The end result is 91 different lesson plans and activities that cover a wide range of different topics. Schools across Pittsburgh will be using these resources over the course of this year to help teach their students about AI, and they will be scaled up nationally over the coming years. If you're a human that has thoughts or feedback, please drop a comment! What's top of mind: "What else should we teach students?" I'd appreciate any ideas you all have as we continue to build and refine this library of resources. Comments URL: https://news.ycombinator.com/item?id=50081297 Points: 1 # Comments: 0
Imago Platform uses graphs to improve AI knowledge management
AI-powered knowledge management systems face a fundamental challenge when businesses need accurate answers rather than plausible ones. Imago Platform Ltd. encountered that problem while developing an application to help customers navigate complicated product warranty policies. Imago’s first client, a lighting and electrical business, needed help resolving warranty claims across manufacturers with widely varying policies. The […] The post Imago Platform uses graphs to improve AI knowledge management appeared first on SiliconANGLE .
Show HN: Pulse Local, a Mac budgeting app whose AI models run on your machine
Hi HN, I'm Niz. Pulse Local is a budgeting app for Mac (Apple Silicon, beta) that answers questions about your spending with models that run on your machine. Local mode needs no account. The ledger and your questions stay on the machine, and the app sends no analytics or crash logs. I felt there are not enough consumer apps that run locally with no calls to the outside world that help us manage sensitive corners of our lives. This app in its local variant only downloads a couple of models and occasional updates, it does not send any analytics nor data. Features-wise, Pulse local is a complete budgeting app that offers an assistant built on top of a fine-tuned model and thousands of rules embedded in the code itself. I'm sharing it for free with options to help me continue experimenting with fine-tuning and expanding along this direction. How it works: you import a CSV from any bank, in any currency. When you ask a question, a tuned Qwen3 0.6B model reads it into a structured query, and code, not the model, does the money math against the ledger. A 4B checker model double-checks each money answer; when the two readings disagree, the app says it is not sure instead of guessing. That change took wrong answers from about one in five to 5 in 494 questions across our last three tests. The write-up covers how we test, the designs that failed, and the limits of the claim: https://pulseos.finance/pulse-local/writing/agree-or-not-sur... The tuned weights are on Hugging Face (PulseOS/pulse-local-qwen3-0.6b). Limitations: the first start downloads about 2.9 GB of models. With the checker on, a money answer takes 12 to 14 seconds (you can turn the checker off). Small models can still misread an open-ended question. The app answers in English. Mac only for now; Windows is next. The app is free. An optional Connected mode (Sync Pass, $29/year) syncs US banks through Plaid; transactions pass through our server's memory and are not stored. Feedback welcome, especially on wrong answers and on questions it should handle but does not. Comments URL: https://news.ycombinator.com/item?id=50080275 Points: 3 # Comments: 0
Industrial Next wants factory robots to switch tasks in minutes, not weeks
Industrial Next helps manufacturers automate complex, delicate tasks that have traditionally required human labor.
Science Corporation implants its vision-restoring chip in its first Stargardt disease patient
Max Hodak, the former president and co-founder of Neuralink, detailed on stage at TechCrunch Disrupt how his company's work with PRIMA is part of its path toward a novel brain-computer interface (BCI).
Show HN: Sugabots – Group chats where your team and AI agents work together
Showing off Sugabots, an internal project I built at work that we've decided to open-source. I got tired of the team just copying context between agents and Slack. So I built an internal tool for shared chats where our team and agents could work together, using our choice of models and tools. The team is now actively maintaining and building on it to add all the features we're missing. We've shared a hosted offering with a few other teams and has proven useful for them too. Its open-source (MIT) and self-hostable if you want to use it yourself. Let me know what you think. Comments URL: https://news.ycombinator.com/item?id=50079791 Points: 1 # Comments: 0
使用 Anchor Browser 和 AgentCore payments 构建可执行交易的智能体
了解 AWS Generative AI Innovation Center Partner Agent Factory 和 Anchor Browser 如何构建能够自主支付费用以访问受 x402 保护的网络资源和 API 的 AI 智能体。Amazon Bedrock AgentCore payments 可检查预算、签署交易并重试请求，而无需向智能体运行时暴露钱包凭证。
Shopify 向更多 AI 代理开放其商品目录
很快，更多 AI 代理将能够浏览 Shopify 商品列表并进行购买，这标志着该公司在代理式商务方面的野心进一步扩展。Shopify 周二宣布，将允许消费者配置自己的 AI 代理，代表他们购买商品，从而让更多代理能够访问 Shopify 商品目录中的超过十亿条商品信息。（该目录包括 […]
Show HN: Hatoba, an open-source SSH client with an AI assistant and E2EE sync
I've used SSH tools for years and didn't really plan on building yet another SSH client, but I ended up building one the way I wanted. Hatoba is a desktop SSH client for Windows, Linux and macOS. It's written in Rust with Tauri 2 and MIT licensed. Each terminal has an AI assistant panel next to it. You describe the problem, and it reads the terminal screen, runs commands, types into the shell, and reads, edits and searches files on the host to find the cause and fix it. You can approve every command and edit it before it runs, let a model you pick approve the safe ones, or turn approval off. Files it changes show a diff you can undo. It works with any OpenAI-compatible or Anthropic API, local models included, and supports skills and MCP servers. Sync doesn't go through a server of mine. Hatoba deploys a Worker and a D1 database to your own Cloudflare account and syncs hosts, keys and AI conversations through them. The free plan usually covers personal use. Everything is encrypted on the device before it leaves. Keys are derived from your master password with Argon2id, every item is encrypted with AES-256-GCM, and the Worker only stores ciphertext plus the hashes it needs to sign you in. Someone who gets hold of the whole Cloudflare account still only gets ciphertext. Sync is optional, and everything works offline without it. The usual SSH client features are there too: groups, tags and fuzzy search, ~/.ssh/config import, ProxyJump and SOCKS5/HTTP proxies, an SFTP panel, local port forwarding, and a key vault that imports OpenSSH, PEM and PuTTY keys. There's also a dashboard showing CPU, memory, disk and network for every saved host, read over plain SSH with nothing installed on the servers. SSH is russh, the terminal is xterm.js with the WebGL renderer, and the UI is React. I develop on Windows, so it's Windows first, with a custom title bar that supports Snap Layouts and Mica, and working CJK input methods. The Linux packages and the macOS build get far less testing on real machines. The macOS build is Apple Silicon only and isn't notarized, so macOS blocks it on first launch until you allow it in Privacy & Security. Bug reports from Linux and Mac users would help the most. Website: https://hatoba.fog.moe Downloads: https://hatoba.fog.moe/download/ Comments URL: https://news.ycombinator.com/item?id=50076388 Points: 2 # Comments: 0
Higgsfield 将 AI 视频时长从 1 分钟提升至超过 10 分钟
Higgsfield 借助 GPT-6 Astra 为创作者带来更长的视频，借助 GPT-Image-2.5 实现精准视觉效果，并借助 GPT-Live 开辟语音电影制作之路。
Show HN: Commit-Aware Router, route LLM traffic around your AI/cloud commitments
LLM routers can optimize for different factors like price, latency, quality, etc. Enterprises tend to have prepaid AI credits, minimum-spend agreements, cloud commitments, or commercial ceilings across OpenAI, Anthropic, AWS, Azure, and other providers. We’ll call these “AI commits”. This project is designed to consider the state of an enterprises’ current AI commits and use it to inform LLM routing decisions alongside other common variables (price, performance, etc.). This is an early PoC built using LiteLLM. Target audience would CFOs, Strategic Finance, FinOps, Cloud Finance, and AI Platform folks who care about making sure AI commit minimums are met, and maximums are not exceeded. Would love any feedback from folks! Comments URL: https://news.ycombinator.com/item?id=50076439 Points: 1 # Comments: 0
Flox Intelligence is building AI to keep wildlife away from trains, airports, and roads
Flox's edge devices can identify animals and use species-specific sounds to drive them away from critical infrastructure.
Show HN: Deslop – Oxlint rules for AI-generated TypeScript
Catches unsafe types, duplicate code, and low-value tests. Comments URL: https://news.ycombinator.com/item?id=50075809 Points: 2 # Comments: 0
Facebook is giving users more control over their algorithm
Facebook is the latest social media platform to give users greater control over the algorithm that determines what appears in their feeds. Meta announced the launch of its new AI-powered feature, “Your Algorithm,” on Tuesday, a feature it first launched on Instagram. The new tool allows Facebook users to influence the content they see in […]
Laplace Intelligence red-teams robots and self-driving cars before they hit the real world
University of Michigan spinout Laplace Intelligence uses AI agents and interactive simulation to stress-test robots and self-driving vehicles before deployment. The profitable startup is competing at TechCrunch Disrupt's Startup Battlefield.
Google wants to host your personal vibe-coded apps in the Play Store
Google plans to help turn those personal AI-generated apps into wide releases.
Google makes it easier to launch your vibe-coded apps
The next time you vibe-code a custom app with Google's AI Studio, you won't have to connect your phone to a computer to install it. On Tuesday, Google announced a new feature in the US that will allow you to launch personal apps directly through the Play Store. Google first launched the ability to vibe-code […]
Facebook 将允许你使用 AI 自定义信息流算法
Facebook 全新的“Your Algorithm”功能将让你直接添加和管理希望在信息流和 Facebook Reels 中看到的主题。Meta 表示，在使用这项新功能针对不同主题点击“感兴趣”或“不感兴趣”进行更新后，推荐内容会“立即作出响应”。Your Algorithm 此前已在 Instagram 上推出……
Show HN: Mac Markdown reader for your AI agents
Hi HN, I'm Kirill. A dozen coding agents running in parallel, producing walls of suggestions, comments and ideas, all at once, all crammed into 88 columns of terminal scrollback, all gone the moment you run the next command. Does this sound familiar? FolderMd ( https://foldermd.com ) might be for you. It's free, and it's fast, and your agents can use it. I made it because I just couldn't handle it anymore. It's a small Mac app that gives those documents a home. Agents read our explainer and then learn to write markdown into a .foldermd/, instead of writing it into the terminal. FolderMD then opens each one instantly and renders it like a book: real typography, syntax-highlighted code, Mermaid diagrams, light and dark mode. You can edit a doc and save it, you can then add comments just like you would in Google Doc, and pass those comments to the agent. Let me know what you think, and if you want to see any features, and improvements. Thanks! -K. Comments URL: https://news.ycombinator.com/item?id=50074607 Points: 1 # Comments: 0
Google Play now supports private, vibe-coded apps built just for you
Google is making it easier to build and use personal Android apps created with AI, without having to make them available to everyone on the Play Store.
Spranic builds spatial memory for physical AI
Physical AI needs context about its surroundings to adapt beyond a fixed set of instructions. Munich-based Spranic is building a spatial memory layer that records physical spaces and how they change. Connecting that information with knowledge graphs could help robots interpret their environments across different tasks, according to Jordi Spranger (pictured), founder and chief executive […] The post Spranic builds spatial memory for physical AI appeared first on SiliconANGLE .
How ShipStation Global built an AI IT help desk on Amazon Bedrock AgentCore
ShipStation Global's engineering team built Deckhand, an AI IT help desk agent for Slack on Amazon Bedrock AgentCore. It answers routine IT questions from a curated knowledge base, reads error-message screenshots, and files Jira tickets. In its first three months it resolved 97.5% of channel queries with a 96% positive feedback rating.
在 Orca Security 中使用 Amazon Bedrock 进行自然语言安全查询
Orca Security 构建了 Discovery AI，这是一个基于 Amazon Bedrock 的自然语言查询代理，可将日常英语问题转换为 Sonar 查询。本文分享了其多阶段架构及结果：与最初的基线相比，查询成本降低了 90%，输入令牌减少了 93%，延迟降低了 75%。
在 HN 发布：Consus（YC F24）——面向处理敏感数据企业的 LLM 网关
Hacker News 的各位好！我是 Consus 的创始人 Eric。我们将所有 AI 请求路由至符合 ITAR 限制和受控非机密信息（CUI）要求的基础设施。Consus 本身符合 ITAR 限制要求，我们最近还完成了针对 410 项 FedRAMP High 控制措施的 FedRAMP 等效性审计。FedRAMP High 是美国政府针对处理敏感非机密数据的云服务制定的最严格安全基线。此类数据泄露可能造成严重或灾难性后果。在处理 CUI 信息之前，必须取得 FedRAMP 等效性或授权。演示：https://youtu.be/6MYxJe6P4oY 航空航天与国防行业正在快速增长。但遗憾的是，由于必要的数据保护措施和合规风险，大多数公司都难以使用 AI。如果这些公司能够使用大多数其他行业习以为常的 AI 工具，它们本可以发展得更快。 在加入 Consus 之前，我的大部分职业生涯都在航空航天与国防领域。我曾在 SpaceX 负责发射国家安全载荷，也是 Castelion 的早期员工。我亲眼看到，合规方面的繁文缛节如何让公司难以采用新技术，也难以信任那些会接触其敏感数据的供应商。 例如，我曾与一家卫星制造商合作，该公司不允许使用任何 AI 工具，即使是处理非敏感工作也不行。尽管过去 9 到 12 个月里 AI 已经变得极其有用，但令我惊讶的是，仍有这么多航空航天与国防公司拒绝接触 AI。他们看得出 AI 可能会有所帮助，但担心模型提供商使用他们的数据进行训练、违反 ITAR 规定，或者因未通过网络安全评估而失去新业务。这些担忧都是合理的。 解决其中部分或全部问题有许多方法，但我们专注于构建一个合规的 AI 推理层，可以“接入”任何 AI 工具或工作流。正如 OpenRouter 能够与大多数工具集成一样，Consus 可以连接到 ChatGPT 或 Claude 这样的工具、包括 Pi coding agent 或 Open WebUI 在内的开源工具，也可以集成到各个组织自行构建和维护的应用程序中。 几乎没有哪家航空航天与国防公司同时使用三大 GovClouds（AWS、Azure、Google）。当我梳理哪些前沿模型可以合法运行于 ITAR 和 CUI 工作场景时，我发现每个提供商都只提供部分模型，而每个模型达到的合规水平也各不相同。 我们的客户不会从云提供商的角度思考。他们考虑的是所需的数据控制措施，以及想要使用的模型。这就是我们构建合规后缀的原因。在底层，每个请求都会访问一个统一的 OpenAI 兼容端点；在接触推理服务之前，系统会先验证密钥并执行策略。每个模型名称都必须带有合规后缀，例如 gpt-5.6-sol:fedramp-high 或 claude-opus-5-5:itar，任何不带后缀的模型名称都会被拒绝。 我们绝不会代理到标准商业端点。客户还可以构建模型允许列表，并为组织内的单个用户分配支出和模型使用限制。所有这些都通过 Consus Portal 处理，团队可以在那里管理支出、密钥和策略。 我们经常听到的一个问题是：为什么不直接在 AWS GovCloud 或 Azure Government 中使用 Bedrock？对于小型团队而言，仅仅获得这些平台的访问权限就很困难。对于大型组织而言，GovCloud 允许你继承部分、但不是全部处理敏感数据所需的控制措施。此外，模型分散在不同提供商之间：GPT-5.6 Sol 仅在 Azure Government 中提供，而 Claude Opus 5.5 则通过 AWS GovCloud 中的 Bedrock 提供。如果两者都想使用，就需要搭建并保护两个独立的政府云环境。 我们将所有模型置于一个端点之后运行，因此客户无需选择云平台，而合规工作则由我们分别为每个平台处理。 鉴于数据的敏感性，Consus 不会在静态状态下存储任何客户数据。所有提示词和生成结果只会在请求处理期间保留于内存中，绝不会记录或写入磁盘。无论是我们自身，还是基础设施及模型提供商，都严格执行零数据保留政策。出于计费和审计目的，我们会保留每个请求和响应的元数据。 Consus 从设计上就不是自助服务产品。ITAR 要求我们确切了解每个密钥另一端的使用者，因此我们会验证每个组织，并在发放 API 密钥前签订合同。 我们向客户收取合规费用，起价为每席位每月 40 美元，另加按成本收取的 AI 令牌费用。我们目前正在积极服务客户，非常期待获得安全专家，以及在高度监管行业工作的开发者和工程师的反馈！ 参考资料： API 文档：https://gateway.consus.io/overview 安全与架构：https://gateway.consus.io/security 合规详情：https://consus.io/compliance 评论 URL：https://news.ycombinator.com/item?id=50073471 得分：4 评论数：1