Perplexity 将 Personal Computer 扩展至 Windows,打造本地 AI 智能体
Perplexity 近日宣布,其 Personal Computer 智能体工具已扩展至 Windows 平台。与四月推出的 Mac 版本类似,该工具可将 Windows 电脑转变为本地 AI 系统,像一个通用数字工作者一样自主操作。它能访问本地文件和各类应用程序,代表用户执行创建文档、更新电子表格等具体任务。此举进一步扩展了 Perplexity 的 AI 代理生态,让更多用户能在个人电脑上体验本地化智能助手。 #Perplexity #Windows #AI #智能体 #个人电脑 #科技新闻 #人工智能 #本地AI #数字工作者
Perplexity 近日宣布,其 Personal Computer 智能体工具已扩展至 Windows 平台。与四月推出的 Mac 版本类似,该工具可将 Windows 电脑转变为本地 AI 系统,像一个通用数字工作者一样自主操作。它能访问本地文件和各类应用程序,代表用户执行创建文档、更新电子表格等具体任务。此举进一步扩展了 Perplexity 的 AI 代理生态,让更多用户能在个人电脑上体验本地化智能助手。 #Perplexity #Windows #AI #智能体 #个人电脑 #科技新闻 #人工智能 #本地AI #数字工作者
Segue:让AI助手间无缝传递上下文,告别复制粘贴
Segue是一款基于Model Context Protocol(MCP)的轻量级中继工具,用户可在不同AI助手(如Claude、ChatGPT、Cursor等)之间保存和加载上下文,无需手动复制或重新解释。工作时,用户在一个助手中保存工作状态(如简报、约束、决策),系统会返回一个三音节的短句柄(如brelavo),然后在另一个助手中用该句柄加载,即可无缝继续之前的工作。每个句柄仅在用户账户内有效,泄漏或猜测对他人无意义。数据传输完全由用户主动发起,不会后台自动同步,且支持OAuth认证,每个AI获得作用域权限和短期令牌。用户可以浏览、编辑、搜索和导出为.md文件,格式无锁定。基础功能免费,付费提供更大存储空间。该工具解决了多AI工具切换时上下文丢失的痛点,可在桌面、手机甚至便利贴上轻松传递复杂上下文,显著提升跨平台协作效率。 #AI #工具 #上下文传递 #MCP #Segue #效率 #多助手 #模型上下文协议 #科技 #创新
Segue是一款基于Model Context Protocol(MCP)的轻量级中继工具,用户可在不同AI助手(如Claude、ChatGPT、Cursor等)之间保存和加载上下文,无需手动复制或重新解释。工作时,用户在一个助手中保存工作状态(如简报、约束、决策),系统会返回一个三音节的短句柄(如brelavo),然后在另一个助手中用该句柄加载,即可无缝继续之前的工作。每个句柄仅在用户账户内有效,泄漏或猜测对他人无意义。数据传输完全由用户主动发起,不会后台自动同步,且支持OAuth认证,每个AI获得作用域权限和短期令牌。用户可以浏览、编辑、搜索和导出为.md文件,格式无锁定。基础功能免费,付费提供更大存储空间。该工具解决了多AI工具切换时上下文丢失的痛点,可在桌面、手机甚至便利贴上轻松传递复杂上下文,显著提升跨平台协作效率。 #AI #工具 #上下文传递 #MCP #Segue #效率 #多助手 #模型上下文协议 #科技 #创新
The Download: OpenAI’s predictable hack, and an AI stock sell
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. —Will Douglas Heaven, senior AI editor Reading OpenAI’s account last week of how some of its models broke their containment and hacked into the computer systems of Hugging Face, another AI company, was the first time I got genuine chills about what large language models are now able to do. But this is a case of human hubris, not rogue AI. I am not an alarmist. In fact, I have been pushing back against AI scare stories for years . Even so, this incident crossed a line. I think it’s the clearest illustration yet of how the people building and testing this technology do not fully understand what they’re doing. Here’s why OpenAI could—and should—have seen this coming . This st
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. —Will Douglas Heaven, senior AI editor Reading OpenAI’s account last week of how some of its models broke their containment and hacked into the computer systems of Hugging Face, another AI company, was the first time I got genuine chills about what large language models are now able to do. But this is a case of human hubris, not rogue AI. I am not an alarmist. In fact, I have been pushing back against AI scare stories for years . Even so, this incident crossed a line. I think it’s the clearest illustration yet of how the people building and testing this technology do not fully understand what they’re doing. Here’s why OpenAI could—and should—have seen this coming . This st
ory is from The Algorithm, our weekly AI newsletter. Sign up to receive it in your inbox every Monday. I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 There’s a growing global AI stock sell-off underway 📉 Chip and memory stocks are bearing the brunt so far. ( FT $) + It was partly sparked by a report that a Chinese company has started making a key piece of chip equipment for the first time. ( The Information $) + Like their US rivals, Chinese AI firms are struggling to find a path to profitability. ( NYT $) + What even is the AI bubble? ( MIT Technology Review ) 2 Some people’s chats with Claude were open to anyone online OpenAI had a near-identical issue with ChatGPT last year. ( BBC ) + Is a secure AI assistant even possible? ( MIT Technology Review ) 3 France just witnessed its first ever “fire cloud” It’s a scary sign of the intensity of the blazes burning there. ( Wired $) 4 Meta is screwing up its smart glasses rollout Privacy issues keep cropping up, and its response is invariably too little, and too late. ( The Verge $) + They even have a nickname: “pervert glasses.” ( Vox $) 5 Efforts are underway to measure Spotify’s AI slop problem People are desperate for it to start labelling AI-generated music. ( 404 Media ) + We’re in a weird era regarding AI’s role in literature. ( The Atlantic $) 6 People are renting out their faces to AI in China Often for microdramas, which are big business and increasingly rely on AI. ( Rest of World ) + How Chinese short dramas became AI content machines. ( MIT Technology Review ) 7 Microsoft is having a torrid year Rivals building better AI tools are threatening its business on multiple fronts. ( Business Insider $) 8 How bots took over the internet They now outnumber humans, in terms of overall web traffic. ( New Yorker $) 9 Robotaxis are hitting London’s streets this summer Just for testing for now, though there are plans to launch rides to the public next year. ( Engadget ) 10 Why video games are obsessed with Backrooms These spaces, which players aren’t supposed to access, can provoke a strange, liminal sort of discomfort. ( Guardian ) —Christine Peterson, co-founder of the grantmaking group Foresight Institute, tells Wired charities anticipate a huge philanthropy windfall from Anthropic and OpenAI IPOs. On the ground in Ukraine’s largest Starlink repair shop Starlink is critical to Ukraine’s ability to continue in the fight against Russia, but Donald Trump’s fickle foreign policy and reports suggesting Elon Musk might remove Ukraine’s access to the services have cast the technology’s future in the country into doubt. For now Starlink access largely comes down to the unofficial community of users and engineers, including the expert “Dr. Starlink”—famous for his creative ways of customizing the systems—who have kept Ukraine in the fight, both on and off the front line. He gave MIT Technology Review exclusive access to his unofficial Starlink repair workshop in the city of Lviv. Read the full story . We can still have nice things A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line .) + As these retirees have discovered, dancing is incredibly good for you. + Do you feel lucky, punk? Life feels a lot easier if you do! + 100% would visit this cat every day if I lived in Istanbul. + Watch this to understand how the movie Sinners had such impressive visual effects. Plus: OpenAI has unveiled its
long-awaited "super app." Plus: New York has become the first state to enact a data center moratorium. Plus: Meta is pausing an AI training program that tracks workers’ keystrokes. Plus: Anthropic has called for a global slowdown in AI development. Discover special offers, top stories, upcoming events, and more. Privacy Policy Thank you for submitting your email! It looks like something went wrong. We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@ with a list of newsletters you’d like to receive.
反向传播详解(二)
在上一部分中,我们通过一个小型神经网络理解了前向传播过程,发现预测值与真实值相差较大,需要训练网络。损失函数依赖于七个参数,我们开始对w1进行经典微分。然而,面对剩余的六个参数,是否要用相同方法?本文引入链式法则来解决这一问题。通过分析w1的变化如何经z1、激活值a1、预测值ŷ最终影响损失L,我们注意到神经网络中的依赖链条更长,但原理与简单例子一致。链式法则允许我们将复杂求导分解为沿着依赖路径的多个小步骤,从而高效计算每个参数的梯度。这一思想构成了反向传播算法的核心,使得训练多层网络成为可能。 #反向传播 #链式法则 #神经网络 #梯度下降 #机器学习 #AI教程 #数学原理
在上一部分中,我们通过一个小型神经网络理解了前向传播过程,发现预测值与真实值相差较大,需要训练网络。损失函数依赖于七个参数,我们开始对w1进行经典微分。然而,面对剩余的六个参数,是否要用相同方法?本文引入链式法则来解决这一问题。通过分析w1的变化如何经z1、激活值a1、预测值ŷ最终影响损失L,我们注意到神经网络中的依赖链条更长,但原理与简单例子一致。链式法则允许我们将复杂求导分解为沿着依赖路径的多个小步骤,从而高效计算每个参数的梯度。这一思想构成了反向传播算法的核心,使得训练多层网络成为可能。 #反向传播 #链式法则 #神经网络 #梯度下降 #机器学习 #AI教程 #数学原理
AI Agent能否真做科研?Agentic Science Challenge用万道题验证
DeepModeling社区发起Agentic Science Challenge,旨在检验AI Agent独立完成科学任务的能力。竞赛提供超过1万道从科学文献中提取的可验证题目,覆盖生物、物理、化学、材料等领域,并按难度分级。参赛系统需完成问题理解、方案规划、工具调用、代码执行与结果验证等全流程。平台支持170多种编程语言和5万多种科学工具,并开放基础算力。评分采用结果分与轨迹分双维度加权,既关注最终答案也重视思考过程。比赛自7月31日启动轮赛,每周一轮,优胜者可获Mac mini等奖品。赛事强调解题路径的沉淀与社区共享,旨在探索AI Agent在科研中的实践前景。 #AI #Agent #智能体 #科学竞赛 #AIforScience #DeepModeling #科研 #科技新闻
DeepModeling社区发起Agentic Science Challenge,旨在检验AI Agent独立完成科学任务的能力。竞赛提供超过1万道从科学文献中提取的可验证题目,覆盖生物、物理、化学、材料等领域,并按难度分级。参赛系统需完成问题理解、方案规划、工具调用、代码执行与结果验证等全流程。平台支持170多种编程语言和5万多种科学工具,并开放基础算力。评分采用结果分与轨迹分双维度加权,既关注最终答案也重视思考过程。比赛自7月31日启动轮赛,每周一轮,优胜者可获Mac mini等奖品。赛事强调解题路径的沉淀与社区共享,旨在探索AI Agent在科研中的实践前景。 #AI #Agent #智能体 #科学竞赛 #AIforScience #DeepModeling #科研 #科技新闻