科氪 | 从生命预警到七诊合参，安顿“双核首发”的技术密码

在2026世界人工智能大会（WAIC 2026）上，安顿健康以两项首发引发广泛关注：我国首个生命预警表标准，以及行业首个七诊合参中医机器人——安顿中医机器人。 WAIC现场图片 两项首发背后，是一套从感知层到算法层再到输出层的完整技术体系。 核心引擎：天回·AI脉诊算法与三重置信体系 安顿双核首发的技术底座，是一套名为"天回·AI脉诊算法"的自研核心技术。该算法首次将中医24种脉象细分为120余个可量化的特征点，实现了中医脉诊从经验判断到数据驱动的范式转换。 算法之上，安顿构建了三重置信体系：天回中医药大模型、西医临床诊断模型、以及...

9点1氪丨ofo停更5年突然发文，运营主体仍处存续状态；苹果市值重返全球第一；乐事回应“蓝色薯片”来源

今日热点导览 月之暗面正式推出开源模型Kimi K3 智谱ARR达到10亿美元，半年增长15倍 国际足联：世界杯冠军将有戒指，每枚均有独立编号 国内成品油价7月17日晚上调 A股存储板块龙头股遭遇两个跌停 TOP3大新闻 ofo停更5年突然发文，运营主体仍处存续状态 7月15日，沉寂近5年的ofo小黄车官方微信公众号突然更新。此次公众号发布的内容，是一则皮肤病患者援助招募信息。虽然与共享单车业务并无关联，这次更新仍然迅速引发关注。不少网友提及尚未退回的押金问题：“我的199元什么时候退？”“退款队伍还排着吗？”“这么多年...

印奇在 WAIC 2026 开幕式主论坛发表主题演讲：当智能体走进物理世界

2026 世界人工智能大会（WAIC 2026）于 7 月 17 日正式开幕。作为全球人工智能领域的顶级盛会，本届大会以“智能伙伴 共创未来”为主题。阶跃星辰董事长、千里科技董事长印奇作为特邀嘉宾出席大会开幕式并在大会主论坛（上午场）发表主题演讲《当智能体进入物理世界》。回顾 15 年 AI 创业历程，他表示，AI 创业已从小众赛道成为全球重要共识。今天的 AI 研究者和创业者既站在几代科学家持续探索的肩膀上，也受益于信息技术、移动互联网、云计算、半导体、新能源等产业积累，能够参与这场时代变革无比幸运。 印奇判断，2026 年模型能力正在跨越关键临界点，AI 已从只能连续执行数秒...

黄仁勋访日：Nvidia 联手日本打造物理 AI 时代，Noetra 主权 AI 工厂与 Cosmos 机器人联盟落地

Nvidia CEO 黄仁勋在 7 月 15-16 日访日期间，宣布为日本建设"Vera Rubin AI 工厂"，配备 13，750 颗 Vera CPU 和 27，500 颗 Rubin GPU，预计 2028 年投运。（AIHOT源：TechCrunch：AI（RSS））

面壁智能开源 MiniCPM-Robot 具身智能模型系列

面壁智能开源首个具身AI模型系列 MiniCPM-Robot，包含 1.5B 参数的通用视觉-语言-动作（VLA）模型 MiniCPM-RobotManip 和用于目标跟踪的 MiniCPM-RobotTrack。同时发布高性能推理框架 PhyAI，旨在让机器人实现理解、记忆与行动。（AIHOT源：X：面壁智能 OpenBMB (@OpenBMB)）

MiniCPM5-2B发布：4B以下全球性能第一，适配9款芯片

面壁智能联合OpenBMB发布端侧模型MiniCPM5-2B，以2B参数量在AA-Index榜单取得4B以下模型最高分17分，平均分54.26，超越Qwen3.5-2B等竞品。模型原生支持混合思考与512K上下文，已完成华为昇腾、英伟达等9款芯片的Day0适配，即将开源。（AIHOT源：公众号：面壁智能（MiniCPM））

昆仑万维宣布2026为"世界模型元年"，发布Matrix-Game 3.5等模型

昆仑万维董事长方汉在WAIC上宣布2026年为"世界模型元年"，并发布Matrix-Game 3.5世界模型、Mureka v9.5与O3音乐模型。Matrix-Game 3.5实现Patch级记忆注入，5B模型在720p分辨率下单卡可达20FPS实时生成，核心架构已开源。（AIHOT源：公众号：昆仑万维（天工））

Qwen3.8 开源发布，2.4T 参数模型上线

Qwen3.8 即将发布并很快开源权重！🌐 该模型拥有 2.4T 海量参数，正在持续进化。我们相信它是目前最强大的模型之一，可与领先的前沿 AI 模型媲美，仅次于 Fable 5。 你无需等待即可测试。就在刚才，Qwen3.8-Max-Preview 已在阿里巴巴的 Token Plan、Qoder 和 QoderWork 上首次亮相。快来抢先体验吧。 期待你的作品。敬请关注！🚀（AIHOT源：X：通义千问 / Qwen (@Alibaba_Qwen)）

AI 热潮正在瓦解全球决策机制

一位拥有 300 多次行业交流经验的从业者观察到，全球公私机构正陷入集体性 AI 狂热，决策层要么没有计划，要么只能低头回避。过去一年半中，其团队所见的所有 AI 项目均以失败告终（成功率 0%），失败原因常与 LLM 能力无关，而是企业本就难以有效运行软件项目，且 AI 项目叠加了额外风险。内部聊天机器人几乎无人使用，客户服务聊天机器人也极少带来良好体验，例如三菱的语音客服承诺回电却六周未兑现。（AIHOT源：Hacker News 热门（buzzing.cc 中文翻译））

ChatGPT Work 功能：建站、邮件、文档处理

ChatGPT Work 适用于 ✅ 创建和托管网站 ✅ 为你管理电子邮件 ✅ 总结海量文档 ✅ 制作一流的文档、表格和幻灯片 已在你的移动应用或 http://chatgpt.com 上提供，包含在 Plus、Pro、Business 和 Enterprise 套餐中。（AIHOT源：X：Tibo (@thsottiaux)）

transcribe.cpp 发布：基于 ggml 的跨平台语音转录库，支持 16 个 ASR 模型族

transcribe.cpp v0.1.0 发布，一个基于 ggml 的语音转录库，支持 16 个 ASR 模型族（60+ 模型），并通过 Vulkan、Metal、CUDA 和 TinyBLAS 实现 GPU 加速。（AIHOT源：Hacker News 热门（buzzing.cc 中文翻译））

Index Ventures 联合创始人 Neil Rimer 认为 AI 财富将面临"再分配"

Index Ventures 联合创始人 Neil Rimer 表示，围绕 AI 积累的巨额财富将面临"某种形式的再分配"，无论是自愿还是强制。他呼吁科技领袖在推动自愿再分配中发挥主导作用。与此同时，美国慈善捐赠总额虽创新高，但捐赠人数持续下降，而加州正考虑对亿万富翁征收 5% 的一次性财富税。（AIHOT源：TechCrunch：AI（RSS））

Apple 起诉 OpenAI：诉讼背后是竞争焦虑还是时机博弈？

Apple 对 OpenAI 提起诉讼，指控其存在多项不当行为，尽管许多专家认为部分指控属于行业惯例。此举正值 Apple 发布新版软件公测版（以新 Siri AI 为核心）之际，外界猜测 Apple 究竟是担忧 OpenAI 成为潜在竞争对手，还是想利用 OpenAI 的弱势期获利。（AIHOT源：The Verge：AI（RSS））

月之暗面在GTC 2026披露Kimi K2.5技术路线：用MuonClip、线性注意力与Agent Swarm重构三大基础组件

月之暗面CEO杨植麟在GTC 2026演讲中提出用MuonClip优化器替代Adam，可将数据利用效率提升近一倍。同时推出Kimi Linear线性注意力，在百万Token上下文下全面超越全注意力；Agent Swarm已支持300个Agent并行工作。（AIHOT源：X：宝玉 (@dotey)）

八天四款前沿模型发布，Kimi K3 跻身第三

过去八天内，Grok 4.5、GPT-5.6、Muse Spark 1.1 与 Kimi K3 四款前沿模型相继发布，使 Artificial Analysis Intelligence Index 得分超 50 的实验室从 6 月初的 2 家增至 6 家。（AIHOT源：X：Artificial Analysis (@ArtificialAnlys)）

Stratagems #18: Leo Tracked an AI Signal to Derek. Both Were Looking for the Same Enemy.

Building a Real-time, Multiplayer Poker Game: Phase 1 of 3

One line of math froze my AI agent forever. The timeout watched and did nothing.

I Rewrote a OneNote MCP Server in TypeScript — Here's What I Learned About Microsoft Graph Auth

The Hardest System I Ever Built Was for Patients Who Could Not Afford for It to Fail

Thariq: This was due to a heroic effort by many people at Anthropic working sometimes...

This was due to a heroic effort by many people at Anthropic working sometimes literally around the clock It was not at all clear that we'd be able to do this in time, and so proud of everyone who made it happen. Enjoy Fable. https://t.co/qAtqPadj3L｜@trq212 · 热度 7879 · 2026-07-18

Guillermo Rauch: Based on internal evals: ▪️ Kimi K3 is top-tier at cybersecurity There is ch...

Based on internal evals: ▪️ Kimi K3 is top-tier at cybersecurity There is chatter on X that Moonshot benchmark-overfit. These are stealth evals. Model has raw IQ. ▪️ Sol is a leap ahead in cyber capability At a significantly higher cost, but quite remarkable still. ▪️ Fable refuses everything We couldn’t get it to complete the run at all. What’s interesting is that Sol in comparison was much more open to helping with defensive cyber hardening TL;DR: frontier, open-weight cybersecurity capability is here. Try it on https://t.co/HedSpZpo1a for defensive purposes.｜@rauchg · 热度 2153 · 2026-07-19

Guillermo Rauch: The term "AGI" has aged very poorly

The term "AGI" has aged very poorly. AI can't possibly me more different from human intelligence. It's *far better* than human intelligence, for most economically-relevant tasks. But that doesn't make AIs better than humanity. There are wonderful things humans can do that these superintelligences (the better term) can't. For one, we care-for and care-about other humans in a powerful and inherent way, that we then teach machines to emulate. We must keep that as the top priority in everything we do. We have to be as pro-human-life as it gets. AIs can replace tasks you do, but they can't replace the proverbial you. This is why they horribly suck at writing! Even when given a corpus of your writing and 200 Skills and 50 subagents running in gRaPh LoOps, they produce robotic prose… because they are robots. I know one definitive way that people can become irrelevant. They stop being themselves: lose their identity, delegate all their writing, their unique thoughts, the creative ways in which they can use the machines. Opting out of 'weighing in'. I think we're safe though. There's nothing more distasteful right now than AI replies in social media or (🟢 T H I S T H I N G ) in landing pages. Quality and humanity will prevail.｜@rauchg · 热度 746 · 2026-07-18

Aaron Levie: It’s fairly obvious that gate keeping models will not work at scale

It’s fairly obvious that gate keeping models will not work at scale. Competing in AI is too economically and strategically important for China at this point, and we’ve now crossed the rubicon where it’s clear that they can compete at near frontier levels. If this were even just 1 month ago and we saw kimi k3 our brains would be broken. The solution to this isn’t to get more locked down and slow your own ecosystem. If that happens, you can guarantee that America loses the global battle (or just fights with more and more regulation to mixed success). The solution is to -safely- ensure that you keep a high rate of progress and drive diffusion of the technology, build out infrastructure, enable US OSS, and more.｜@levie · 热度 502 · 2026-07-18

Aaron Levie: If you thought the value of the AI ecosystem was going to only accrue to a fe...

If you thought the value of the AI ecosystem was going to only accrue to a few companies, the past few months have represented a turning point in what the future of AI might look like. It's clear that there's going to be incredible innovation and growth coming out of the frontier AI labs, and they will continue to push the limits of what model progress looks like. They have the scale of compute, large revenue streams and customer bases, incredible researchers, large data pipelines, and more, to continue to stay at the forefront. And at the same time, there’s an amazing ecosystem starting to play out to diffuse AI into the real world, taking on a variety of approaches that build on top of these frontier models or offer alternative visions that can credibly work as well. Here are just a few of the categories that seem to be working right now: * There’s an ecosystem of companies that will help enterprises and applied AI companies develop their own models tuned for specific use cases, and run the inference for them. This can drive additional performance gains and cost effective approaches to getting AI into workloads across different domains. * Applied AI companies that are delivering the end-user experience and business process tools necessary to actually driving enterprise adoption - including legal, IT, security, HR, customer support, coding, and more. These companies can work with any model and act as a routing layer, and deeply understand the enterprise workflow, can drive change management, actually get to the data necessary to work with, and more. * New labs are emerging that go deep in particular domains that are either not the focus areas of frontier labs or require a deep level of vertical expertise to stay ahead. Life sciences, financial services, healthcare, and more all have labs that will be able to bring completely new approaches to large enterprises across the economy. * There’s all new infrastructure emerging to run models and agents effectively, protect and govern how they operate, store and secure the data they work with, and help enterprises orchestrate their activities. Multiple layers of this stack all are being built up right now that will help drive enterprise adoption. * New services firms that can actually drive the change management in enterprises necessary to the diffusion of AI. There will be hundreds or even thousands of new firms that emerge in lines of business or specific industries that can enable agents to be adopted. I’m probably even missing a few categories, but this is what an incredible healthy technology ecosystem looks like. Way too early to call the winning architectures, and in reality it’s going to be a heterogenous environment as all other tech markets have become. Very exciting.｜@levie · 热度 465 · 2026-07-18

Zara Zhang: The biggest barrier for enterprise AI adoption: the people who understand AI ...

The biggest barrier for enterprise AI adoption: the people who understand AI don't understand the business, and the people who understand the business don't understand AI｜@zarazhangrui · 热度 356 · 2026-07-18

Zara Zhang: Everyone should develop their "personal eval set" for AI models: a few tasks ...

Everyone should develop their "personal eval set" for AI models: a few tasks that are actually relevant to your day-to-day work/life The industry benchmarks help but they might not reflect what will make it actually useful to you You find the model's capability boundary by poking at it & bumping into it for fun｜@zarazhangrui · 热度 162 · 2026-07-19

Matt Turck: 2024: "The model layer is commodotizing" 2025: "The model layer is commodotiz...

2024: "The model layer is commodotizing" 2025: "The model layer is commodotizing" 2026: "The model layer is commodotizing" The model layer: still not commodotized.｜@mattturck · 热度 113 · 2026-07-18

mattpocock/skills

Skills for Real Engineers. Straight from my .agents directory.｜Shell · ⭐177421 · Search 增补 · 近快照 +902星 · 创建 2026-02-03

Graphify-Labs/graphify

AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.｜Python · ⭐91536 · Search 增补 · 近快照 +627星 · 创建 2026-04-03

DietrichGebert/ponytail

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.｜JavaScript · ⭐86075 · Search 增补 · 近快照 +506星 · 创建 2026-06-12

multica-ai/andrej-karpathy-skills

A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.｜Unknown · ⭐194347 · Search 增补 · 近快照 +757星 · 创建 2026-01-27

Panniantong/Agent-Reach

Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.｜Python · ⭐58101 · Search 增补 · 近快照 +947星 · 创建 2026-02-24

Show HN: I replaced a $120k bowling center system with $1,600 in ESP32s

I might be the only SRE on Earth with his own bowling center. It's a more in-depth gig than you'd think. My family and I bought an abandoned 8-lane bowling center in the rural mid-west. In o

Qwen 3.8

https://www.qwencloud.com/pricing/token-plan

What I learned selling 2,500 MIDI recorders: Hardware is not so hard

Claude Code uses Bun written in Rust now

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月之暗面 Kimi：暂停 C 端新用户订阅，保障已订阅用户的全部权益不受影响

IT之家 7 月 19 日消息，月之暗面 Kimi 今日发布公告，为了保障已有订阅用户的体验，决定即日起， 暂停 C 端新用户订阅 ，将已有算力全部投入于服务已订阅用户，保障已订阅用户的全部权益不受影响。 IT之家附原文如下： 致 Kimi 用户：关于算力紧缺与会员暂停开放的说明 尊敬的 Kimi 用户： 自 KimiK3 发布以来，我们收获了远超预期的支持，但也面临始料未及的算力挑战。过去 48 小时，用户请求量已大幅超出我们的预估，并且逼近现有集群的承载极限。 为了保障已有订阅用户的体验，我们决定即日起，暂停 C 端新用户订阅，将已有算力全部投入于服务已订阅用户，保障已订...

周星驰《功夫女足》跻身 2026 年电影票房前三，上映 9 天超 14.57 亿

IT之家 7 月 19 日消息，据灯塔专业版，截至 7 月 19 日，《功夫女足》上映 9 天总票房超 14.57 亿（含预售），进入 2026 年度票房榜前三。 IT之家附榜单如下： 《飞驰人生 3》44.21 亿元 《给阿嬷的情书》19.94 亿元 《功夫女足》14.58 亿元 《镖人：风起大漠》14.48 亿元 《惊蛰无声》13.66 亿元 《熊出没 · 年年有熊》10.67 亿元 《消失的人》5.75 亿元 《疯狂动物城 2》5.73 亿元 《匿杀》4.36 亿元 《阿凡达 3》4.28 亿元 该影片由...

深空矩阵发布“星环计划”，第一阶段目标部署约 210 颗卫星

IT之家 7 月 19 日消息，深空矩阵在 2026 世界人工智能大会上，发布面向太空 AI 算力产业化落地的系统性星座方案“星环计划”。 官方公众号显示，深空矩阵位于北京，致力于构建超大规模星群协同的太空 AI 算力基础设施。 深空矩阵创始人兼 CEO 张伟杰表示，AI 竞争最终会落到算力竞争。而随着大规模 AI 智能体落地，传统地面算力体系将面临电力、土地、建设周期、散热、网络与基础设施承载能力的多重约束。因此，算力上天已经不再只是前沿想象，而是 AI 智能体时代必须被严肃对待的产业刚需。 官方表示， 星环计划第一阶段目标，是以约 210 颗卫星构建低轨遥算一体化验...

寻找 AI 原生时代创业者：极客部落 OPC 入驻招募启动！

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边端AI不只缺算力：安谋科技重做CPU、NPU、VPU与AI操作系统

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WAIC 2026现场，阡视科技发布超节点系统，专为Token工厂而生

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The Download: perimenopause misinformation and China’s latest AI leap

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. There’s a lot of hype around perimenopause. Don’t buy it. Perimenopause used to be considered taboo, but not anymore. Thanks at least in part to TV doctors and...

There’s a lot of hype around perimenopause. Don’t buy it.

Perimenopause has entered the chat. Perimenopause—and its better-known relative, menopause—used to be considered taboo. Not anymore, thanks at least in part to TV doctors and social media influencers. Perhaps it’s my age, but these days, both my algorithm and my conversations with friends increas...

The risk of weather data sabotage is rising

Every morning, airline dispatchers, grid operators, and farmers around the world make decisions based on the same thing: a weather forecast. While these forecasts are something that most people glance at for two seconds, weather predictions influence major strategic decisions in many industries, ...

Netflix paid $587M for Ben Affleck’s AI filmmaking startup

Netflix revealed that it paid $587 million in cash for InterPositive, a startup co-founded by Ben Affleck.

Can an Apple lawsuit derail OpenAI’s hardware plans?

On the latest episode of Equity, we debate whether Apple's lawsuit will cast over OpenAi's much-discussed plans to get into hardware and go public.

This unpronounceable series of glyphs is an incredible side project from Kieran Hebden (aka Four Tet)

Just why? ʅ͡͡͡͡͡͡͡͡͡͡͡(̸̢̛̼̞̭͋ͅ)̸͚̰͛̔̾̀̿͒͂:̴͓̞̑̌̂̆̊͋̀:̸͎̟̯̂̓̌ ҉ ͡ ͞ ͞ ͞ ҉● ࿀ ● ࿀ ● ҉⃝ ⃝͢ ͞ ͘ ͞⃝̕ ͢ ̛ ⃝ ̸ ̡ ͢⃝̧ ͡ ͡ ̀ ̧ ̢⃝͜ ҉ ͞ ͞ ⃝͞ ͞ ͡⃝ ⃝҉҈҉҈҉҈҉҈҉҈҉ :̶̢͙͙͕̠̩͆(̷̮͍͚̫͚͂̍)̵̳̗̊( ̟̞̝̜̙̘̗̖҉̵̴̨̧̢̡̼̻̺̹̳̲̱̰̯̮̭̬̫̪̩̦̥ What am I supposed to do with this? It's un-Googleable. Unpronounceable. It doesn't even ...

Kodak EC35 is a dirt-cheap point-and-shoot film camera

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最近把 4 个企业 AI 项目的交付记录重新摊开看，我越来越强烈地感受到一件事： 个人跑得更快，不等于组织跑得更快。 现在很多团队已经在用大模型、知识库、Agent 和 AI Coding。写材料快了

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