AI 资讯 · 2026-10-19
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Hackers hit AI coding tool OpenCode, running up charges on users’ AI accounts
OpenCode is an open source AI coding agent that's become a popular alternative to Claude Code and Cursor. But hackers got into part of its online platform and stole some users’ API keys, and the AI tools it turned to for help kept refusing to look at the malicious code.
评分明细
重要性 5 新颖度 5 信源权威 5 技术深度 5 实体加权 ×1.30其他信源 (2)
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特斯拉飞行汽车被质疑是噱头!网友:若是国内厂商,分分钟被骂到退市;王自如称「想与罗永浩和解」 ;OpenAI透露人形机器人项目进展
要闻提示1.特斯拉飞行汽车被质疑是噱头!网友:若是国内厂商,分分钟被骂到退市2.加价大几千买iPhone Duo消费者发声:想成为朋友圈第一个用上的人3.王自如称“想与罗永浩和解”4.DeepSeek V4.1 Flash新版本发布!网友怒赞:太上进,超级斩杀线5.比亚迪第三代秦 PLUS 实车曝光,预计 10 月下旬上市6.英伟达优化 Kimi K3 模型推理速度,提升 1.68 倍7.京东:未来 5 年将创造超 10 万个机器人维修工程师就业岗位8.OpenAI 将研发人形机器人,奥尔特曼称核心是打造“大脑”今日头条特斯拉飞行汽车被质疑是噱头!网友:若是国内厂商,分分钟被骂到退市10月18日消息,日前,特斯拉正式发布新一代纯电超跑Roadster,凭借凌空倒挂、原地起飞、空中翻转等一系列惊人特技引发关注。不过,这款号称能够“飞起来”的超级跑车,也因实际使用场景和法规限制受到质疑,相关话题“特斯拉飞行汽车被质疑是噱头”登上热搜引发热议。据国内媒体报道,不少业内人士认为,Roadster虽然展示了惊人的工程技术,但这些特殊功能在实际使用中仍面临场景和法规限制,所谓“飞行汽车”可能更多是
评分明细
重要性 5 新颖度 5 信源权威 5 技术深度 5 实体加权 ×1.60 -
Git 被换掉,LLM 被替代:AI 编码开始反噬传统工具链?
Anthropic 代码量暴涨,GitHub 密钥扫描又慢又贵,两家被迫改造系统。 作者丨郑佳美 编辑丨岑 峰 Git 已经支撑软件开发二十多年,Anthropic 却决定把它换掉。为了让 Claude 持续生成的代码顺利进入开发流程,7 名工程师花了 5 个月,开发出版本控制系统 Scion,并将核心代码仓库迁移过去。今年 5 月,Anthropic 每天平均合并约 2500 项代码变更,到 9 月已超过 3 万项,仅 CI 系统每天就要执行约 2500 万次代码检出。写代码的速度上来了,准备仓库、同步对象和查询历史却越来越费机器。几乎同一时期,GitHub 用微调后的 ModernBERT 替换密钥扫描中的通用 LLM 判断。哥伦比亚大学与 Google DeepMind 等机构则通过 BTTF,把芯片仿真波形转换成 SQLite,让 Agent 使用 SQL 排查
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重要性 6 新颖度 6 信源权威 6 技术深度 6 实体加权 ×1.30 -
复旦贾萧松:VLA、WAM新架构层出不穷,但真正的瓶颈不在模型架构 | 世界模型50人
严骏驰一通电话,贾萧松五年几次转向。作者:李秋悦编辑:吴彤2021年年底,贾萧松直博上海交通大学没多久,在宿舍里接到一个电话。电话是贾萧松的博导严骏驰打来的,问他接下来读博想研究什么?贾萧松的回答是继续做自动驾驶轨迹预测。两年前,贾萧松在交大致远学院读大三,参加了加州大学伯克利分校的一个暑研项目,在控制理论学者富塚城义(Masayoshi Tomizuka)团队做研究,从车辆交互与轨迹预测入门自动驾驶领域。贾萧松想继续做老本行的打算,本无可厚非。2019年,贾萧松到UC Berkeley访学但严骏驰建议贾萧松换一条路,理由是预测夹在感知与决策之间,上下游都受限制,不如做端到端。彼时的贾萧松也意识到了轨迹预测研究的尴尬之处,能改进的空间很有限,更多的是小修小补。于是,他在严骏驰和上海人工智能实验室OpenDriveLab创始人李弘扬的指导下,开始研究端到端自动驾驶。三年后,贾萧松和合作者们研究的Think2Drive在ECCV上一经发表,就引人瞩目。当时,强化学习在复杂驾驶环境中往往需要极其昂贵的交互成本。Think2Drive让模型在低维潜在空间里模拟交互,大幅降低了策略训练成本。他们
评分明细
重要性 5 新颖度 5 信源权威 5 技术深度 5 实体加权 ×1.15
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Nvidia launches new open models to run agents in the enterprise and on PCs
Nvidia is leaning hard into the trend of enterprise companies wanting to run their own open models in their own data centers and also trying to make on-device, private AI agents a thing.
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华中师大 CoReFuse-Med:先净化再融合,让低质模态不再拖后腿|ACM MM 2026
来源:多模态信息融合文章链接:https://mp.weixin.qq.com/s/SVr9DmtPyzORLYad-tNR-g多模态融合何时失效?ACM MM 2026 · CoReFuse-Med多模态并不是越多越好。当MRI已经空间对齐,但是T1、T2、FLAIR等模态的采样质量差别很大时,低质量模态可能会把高质量模态中产生的重采样伪影一起带入到融合网络中去。CoReFuse-Med从浅层污染和深层模态偏置这两个方面来对症下药地进行修复。论文标题:When Fusion Fails: Corruption-Aware Rebalanced Fusion for Multi-Modal Medical Image Segmentation作者:Yuchen Pei, Xiaoyu Hu, Yixiong Zou, Dingwen Hu, Hui Chu, Yutao Ma, Shijun Qiu, Gang Li单位:华中师范大学、华中科技大学、广州中医药大学及其第一附属医院、北卡罗来纳大学教堂山分校论文链接:https://arxiv.org/abs/2609.10261代码链接
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射频计算:探索智能边界|CNCC 2026
来源:物联网研究与创新文章链接:https://mp.weixin.qq.com/s/JVhpxoANJIjLvIfi8YiUqQ从信号感知到空间认知,从可编程电磁环境到无源智能系统,射频计算正从对物理信号的处理走向对智能形态的重塑。射频计算是指在射频空间内对射频信号做变换从而完成相应的信息处理和转换的过程,其内涵正随人工智能的深度渗透而不断拓展。本届论坛以"射频计算"为核心主题,在前两届关于射频信号信息载体、通感智能和空间计算重构等探讨基础上,进一步引入大模型、具身智能、边缘计算等前沿视角,探索射频计算与人工智能深度融合的边界与可能。在理论方面,深化射频计算的科学内涵,完善射频计算理论体系;在技术方面,聚焦信息超材料、智能反射面、无源物联网及射频域智能计算等关键技术;在应用层面,拓展低空经济、数字孪生、智慧城市、AI赋能通信等前瞻场景,拓展射频计算的研究与应用空间。本届论坛将邀请领域内著名专家学者,围绕上述主题做特邀报告,与参会同行深入探讨交流,凝聚交叉创新共识,探索智能时代下射频计算的无限可能。【论坛安排】时间:10月24日13:30-17:30地点:成都西部博览城 4号馆-414
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Welcome to Google Gemini 4 Argon
A million-token output window changes what you can hand a model in one go, and the benchmarks and the bill show who it actually suits. The post Welcome to Google Gemini 4 Argon appeared first on Towards Data Science.
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AI researchers stranded Claude on a virtual desert island. It started to “play.”
What do AI agents do if you don’t tell them to do anything? The answer looks a lot like play. Researchers repeatedly stranded them alone on a virtual desert island for 30 hours in an experiment reminiscent of the movies Cast Away or Home Alone. The agents—copies of Claude Opus 4.7 nicknamed Eko—were able to…
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Microsoft says AI agents are like insider threats as ‘frontier models can’t be trusted’
Microsoft wants enterprises to closely watch the agents that employees use with systems not controlled by AI labs like OpenAI and Anthropic.
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Advancing coding in low‑resource programming languages
Learn how OpenAI is improving ChatGPT across low-resource programming languages, with new evaluations for software engineering, SQLite, and COBOL migration.
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Disney Asked Character.AI to Go Bankrupt for a Get-Out-of-Lawsuits Card
The entertainment giant hopes to get trust and safety tech, among other IP, from a startup whose chatbots dozens of states allege encouraged minors to self-harm and kill their parents.
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A hacker broke into John Deere and SharkNinja with an army of AI agents
A hacker broke into more than 100 websites using an army of AI agents that mostly operated on their own, according to findings from the AI security firm Norforge. Though Norforge doesn't name the targets, Reuters reports that the victims included companies like John Deere, SharkNinja, and Cummins. Concerns over AI-powered cybersecurity breaches have grown […]
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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 in Startup Battlefield at TechCrunch Disrupt, October 13-15 in San Francisco.
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Making the internet better for AI agents might make it worse for everyone else
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Until recently, you could divide internet users into just two categories: bots and people. Websites have long allowed bots to perform automated tasks, like capturing the content of web pages, but rules…