This year's World Robot Conference staged a robot 'wedding' on Qixi and unveiled five industry trends: robots moving from technology validation to product validation, world models focused but not as hot as expected, tactile sensing becoming the new focus of dexterous hands, exoskeletons showing initial promise, and joints becoming component suppliers' new battleground.
作者:vivo 肖博 AI 合作者:ChatGPT(GPT-5.5) 创作模式:Human-led, AI-collaborated 责任声明:文章观点、理论体系及最终内容由作者负责;AI 参与讨论、推演、表达优化及部分内容生成。 研究说明:知识驱动计算(Knowledge-driven Computing, KDC)是我们正在提出和持续打磨的一套 AI 应用软件工程理论,目前仍处于开放研究阶段。前三篇分别讨论了领域现实、知识边界以及从推理到受治理行动的链路。这一篇讨论长期运行问题:一次正确行动结束后,什么历史应该影响未来,又如何避免系统把偶然经验和错误反馈不断放大?本文摘要:记忆的价值不在于保存更多历史,而在于决定哪些历史仍然可以影响未来的判断与行动。本文把记忆放入形成、强化、衰减、冲突、遗忘、迁移和归档的生命周期,并进一步说明反馈验证与错误归因如何帮助系统修正知识、记忆、推理和治理策略。KDC系列文章:《软件从现实开始:知识驱动计算(KDC)的 Reality First 主张》"《软件不是文件:KDC 的知识工程主张》"《调用成功不等于判断正确:KDC 的行动治理主张》"《保存历…
大模型能力持续演进,但 AI 的下一阶段竞争正在发生变化。模型能力之外,如何构建可靠的智能体、完善 AI 工程体系,并让 AI 在复杂业务环境中稳定运行,正在成为产业探索的新重点。 8 月 21 日-22 日,AICon 全球人工智能开发与应用大会"将在深圳举办。大会全日程现已100%上线,来自产业一线的技术专家将围绕 Agent 工程化、大模型基础设施、AI Native 研发、具身智能等前沿方向,分享 AI 时代的技术探索与工程实践,共同探讨 AI 从能力突破走向系统构建的新路径。 蚂蚁集团高级技术专家刘仁权已确认出席 “AI 原生新范式:Coding Agent 重构软件研发全流程"” 专题,并发表题为《蚂蚁 AI 驱动的生产级软件交付基建和实践"》的主题分享。在蚂蚁很多团队 AI 生成代码占比已经达到 90% 以上,AI Coding 已经不是壁垒,瓶颈开始转移到 AI Delivery,本次分享主要介绍蚂蚁在 7x24h 端到端 AI 研发交付上探索、踩坑经历和沉淀的 AI 基建。 刘仁权,现任蚂蚁集团 CIO 总架构师,研发效能 Agentic Delivery 团队负责人…
As artificial intelligence data centers continue to proliferate across Ohio and public opposition grows, Axios reported today that the GOP’s Senate campaign arm has privately warned AI companies that they need to do something about the increasingly toxic image of the facilities. The centers have become the battleground for the upcoming election in which Republican […] The post GOP urges top AI firms to do something about the toxic image of data centers appeared first on SiliconANGLE.
墨奇智能(MORPHI)首次在国内系统亮相,公开展示其新近发布的具身智能模型架构MoRA
完美世界今年4月底推出的重磅新游《异环》截至8月18日已取得全球累计流水超20亿元,业绩贡献将在Q3起逐步释放
根据 GitHub 的公告",GitHub Code Quality 现在已经在 GitHub Enterprise Cloud 和 GitHub Team 上正式上线。该服务将 CodeQL 分析与人工智能辅助的可维护性和可靠性问题检测相结合,并利用 Copilot Autofix 在拉取请求中提出待审核的修改建议。Code Quality 自 2025 年 10 月起便处于公开预览阶段。据 GitHub 介绍,在此期间,已有超过 1 万家企业使用了该产品。该正式版本新增了组织级启用功能、显示可维护性和可靠性评分的仪表盘、测试覆盖率指标,以及用于质量门控的规则集。 公告详细说明了该产品在开发流程的两个环节中如何运作。在拉取请求中,CodeQL 会结合上下文报告质量检测的发现,并能显示更改是否影响测试覆盖率。在默认分支上,它可以识别整个代码库中现有的质量债务。团队可以使用规则集来强制执行覆盖率或其他质量阈值,并提供评估模式以支持分阶段部署。 AI 辅助开发工具正在增加代码的产出量,但评估其设计和长期可维护性所需的工作仍然由工程团队承担。GitHub 表示,在他们自己的工程团队中,Cod…
Veeda AI, a startup led by a team of former Nvidia Corp. researcher and renowned computer scientist Sanja Fidler, has taken its bow on the main stage after raising $90 million in a seed funding round today. The round, which was first reported by The Logic, was co-led by Khosla Ventures and Radical Ventures, is […] The post Sanja Fidler’s world model startup Veeda AI raises $90M in seed funding appeared first on SiliconANGLE.
哈浮 VERSA 飞行口袋云台相机发布,OpenAI 回应少量 Codex 用户调用 GPT-5.6 系列 AI 模型误删文件问题等。查看全文
要闻提示 1.奕境X9发布会送假Labubu?品牌方回应 2.宇树科技股价暴涨,IPO名场面:王兴兴表情极为平静像“打工人”! 3.豆包大模型,正式上车特斯拉 4.歌词照进现实?月之暗面杨植麟十年前写的歌词成真了 5.快手Q2总收入355亿元,经调整净利润39亿元 6.计划训超大模型后,字节 Seed 基模团队调整了组织架构 7.百度李彦宏:目标让文心回到第一梯队 8.OpenAI第二季度营收67亿美元,增速18%远不及对手Anthropic 今日头条 奕境X9发布会送假Labubu?品牌方回应 8月19日下午消息,近日有车主反映称,参加南昌当地奕境X9预售发布会,签到礼品可以选择领取labubu盲盒一个,拆开后却发现是假labubu。网传图片显示,车主输入领取的labubu盲盒防伪码,在泡泡玛特官网查询时显示防伪码错误,盲盒背面也将“搪胶”错写成了“塘胶”。 针对此事,南昌奕境汽车用户中心工作人员向媒体表示,现场发的Labubu盲盒确实是假的。据其介绍,有多位顾客前来询问Labubu是否为正品,门店会真实告知Labubu不是正品。被问及为何不发放正品Labubu,工作人员表示该盲盒仅…
朱雀三号遥二发射成功,我国首次实现火箭陆地回收 据央视新闻报道,8 月 19 日,朱雀三号遥二运载火箭在东风商业航天创新试验区发射升空,火箭一子级按预定程序成功着陆于甘肃省民勤县朱雀三号着陆场坪,飞行任务取得圆满成功。这是我国在重复使用火箭关键技术上取得的又一重大突破,朱雀三号成为我国首款成功入轨并实现陆地回收的运载火箭。 我们注意到,本次任务是继 7 月 10 日长征十号乙运载火箭一子级海上网系成功回收后,我国首次成功实施重复使用运载火箭一子级着陆腿方式陆地可控回收,标志着我国重复使用火箭技术取得重大突破。 朱雀三号运载火箭是由国家航天局批复立项的新一代低成本、大运力、高频次、重复使用液氧甲烷运载火箭型号。此型火箭采用单芯级两级串联构型,全箭长 66.1 米,一二子级箭体直径 4.5 米,整流罩直径 5.2 米。箭体主结构采用不锈钢材料,以「燃箱在上、氧箱在下」的总体布局优化飞行质心。火箭一子级配备九台天鹊-12A 液氧甲烷发动机,动力系统可在 40% 至 110% 的推力范围间调节,可在完成轨道发射后实施垂直回收与再利用。(来源:IT 之家) 「朱雀三号」遥二运载火箭一子级回收落地…

OpenAI 首席财务官萨拉·弗里亚尔在全员大会上告知员工,公司最迟将于 2027 年完成上市,若业务持续向好也可能更早。OpenAI 已于 6 月秘密提交 IPO 招股书,本季度整体年化营收增长 35%,企业级业务年化营收增长 50%,AI 编程与办公产品周活跃用户突破 2000 万。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmt0s2ems0dkxro2oylebzxob
With a fixed deadline and design resources committed elsewhere, Stampli used Codex and ChatGPT Work to compress weeks of launch production into days.
Anthropic 发布 Claude Python SDK v1.0,HTTP 层从 httpx 迁移至 API 兼容的 httpx2,并移除 Text Completions API 等长期弃用功能。 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmt3dpn230oxyro6t7ynmpyc2
What does a payments giant want with a startup that routes prompts between different AI models? Stripe says it's because of "the singularity" but it's really for a far more real and powerful reason.
Stripe Inc. today said it has agreed to acquire artificial intelligence model routing startup OpenRouter Inc. in a deal reported at $7.5 billion or more. Neither company disclosed terms and the reported numbers do not agree. The New York Times said $7.5 billion, citing a person with knowledge of the terms. Axios put it above […] The post Stripe buys AI model router OpenRouter in reported $7.5B deal appeared first on SiliconANGLE.
NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics. HoloHub is its companion repository: a... NVIDIA Holoscan is a platform for building real-time AI applications at the edge, from medical imaging to robotics. HoloHub is its companion repository: a growing collection of reference applications and components that demonstrate what’s possible. We wanted to explore how a general-purpose coding agent could use the same examples, document…

A competition is developing between OpenAI and Anthropic over who can provide the best privacy protections for enterprise customer data.
SpaceX was reportedly in talks to buy AI coding startup Cognition. SpaceX has already acquired Cursor as it races to catch up to rivals like OpenAI and Anthropic in enterprise AI.
The move is a response to the Hugging Face hacking incident and other cybersecurity concerns about AI models. However, enterprises need to ramp up security protections regardless of the models they use.

AI inference infrastructure is becoming a system-level challenge as organizations move generative and agentic applications into production. Graphics processing unit performance remains essential, but storage latency, network bandwidth, data movement and power consumption increasingly determine the cost and speed of producing tokens. The requirements also vary by workload. Interactive chat prioritizes latency, batch inference emphasizes […] The post The AI inference race moves beyond GPUs to resh…
一段 5 秒 480P 视频,完全在 Mac 上生成,耗时 30 秒。无需 CUDA,无需云端,仅占用 3.9 GiB 内存。 FastMetal 将 FastWan-QAD 系列带到 Apple Silicon。DiT、DMD 采样器和解码器均通过 MLX 在 Metal 上运行,默认 INT8。 三个模型:1.3B 支持 480P,5B 支持 720P,14B 追求画质。 📷 博客:http://haoailab.com/blogs/fastmetal 📷 代码:http://github.com/hao-ai-lab/FastVideo 📷 模型:http://huggingface.co/collections/FastVideo/fastmetal 🔗 阅读原文 via AIHOT · https://aihot.virxact.com/items/cmt0kxcuu07f2ro2owuqpbjc8
The knowledge graph is fast becoming a foundational layer for enterprise AI, as organizations race to turn scattered data into answers that leaders can trust. As IT stacks that went cloud-native now go AI-native, a new class of layered data architecture is taking shape — one built to give models the context they need to […] The post Layered data architecture turns enterprise data into a system of intelligence appeared first on SiliconANGLE.
In a letter to investors, Stripe declares January 1 the "beginning of the singularity" and uses that as a reason to stay private. Not that it needs one: revenue grew 41 percent in the first half of the year, and the company confirmed its $8 billion-plus acquisition of OpenRouter. Declaring the singularity is in vogue right now. Hassabis, Altman, and Musk all say it's already here. The article Stripe declares we're living in the singularity and uses it as a reason not to IPO appeared first on The…
记者探访机器人初创 Generalist AI:机械臂观看短视频即可学会叠杯、清扫等新任务且无需针对训练,工具被拿走还会即兴换用簸箕;三位创始人出自 Google DeepMind 与 Boston Dynamics。AI summary

As AI becomes harder to avoid, consumers are growing more wary of the technology — and Silicon Valley is discovering that widespread adoption doesn’t necessarily lead to acceptance.