与「Code」相关的搜索结果

🚀 We’ve onboarded fapi to xAPI! fapi is the provider of the Most Stable and Cost-Effective Third-Party Twitter API on RapidAPI. Now available on xAPI: ✅ $0.001 per call ✅ Pay-as-You-Go ✅ Simple integration for AI agents & developers Start building with xAPI today. Use the invitation code xapito to get $1 free credit!

睡前来一发，这个视频还是挺完美的。 Anthropic的应用AI工程师Margot Van Laar在Code with Claude分享了提示词工程的实战手册。 核心观点是：我们很少从零写提示词，大部分时间都在调试和维护已有的生产提示词。 最好的起点永远是评估（Eval），而不是直接改提示词。 她用两个真实场景演示了最佳实践： 1. 维护已有提示词（客服机器人） - 先做通用清理：用XML标签结构化（角色/政策/语气/指南分开）、移除冗余补丁、明确输出格式。 - 常见陷阱：以前为旧模型加的“禁止列表”指令，在新模型上会过度拟合，导致模型隐瞒它其实能提供的信息。 - 当模型需要做精确计算时，指令没用，要给它工具。 - 升级/转人工的决策，要把代价和收益两面都说清楚，否则模型会过度优化某一边。 2. 从零构建新Agent（零售排班） - 单一复杂提示词容易失败。 - 更好的方式是拆成生成-评估-修复循环，让三个简单提示词各司其职。 - 模型选择很重要：更强的推理模型（Opus）+ 自适应思考，往往比小模型+复杂提示词更高效。 她反复强调：评估是唯一能告诉你改动是否真正有效的严谨方式。 没有评估，就只是在碰运气。

Trust isn't given. It's earned. Chet Kapoor, VP of Security Services, AWS, explains how AWS security starts in learn mode, absorbing your infrastructure, network topology, identities, code, and business context before taking action.

🚨 BREAKING: DOJ opens grand jury investigation into Marxist tycoon Neville Roy Singham and alleged money laundering or other financial crimes from his base in China to funding far-left nonprofits in the U.S. and the world WATCH how the money flows. READ our @FoxNews Digital exclusive: What I've learned from people familiar with the investigation: 🚨 U.S. Attorney Jay Clayton for the Southern District of New York, one of the country's most powerful districts for federal prosecutions, has launched a federal grand jury investigation into American Marxist tycoon Neville Roy Singham's financial network, examining potential financial crimes including wire fraud, bank fraud and money laundering from his base in Shanghai, where he funds groups supporting the Chinese Communist Party. 🚨 Acting U.S. Attorney General Todd Blanche authorized the investigation as the Trump administration seeks to crack down on fraud, money laundering and other financial crimes in the multibillion-dollar nonprofit industry. 🚨 Treasury Secretary Scott Bessent traveled to New York City earlier this year for a meeting with Goldman Sachs Chairman and CEO David Solomon. The men discussed the role of a Goldman Sachs philanthropic arm — GS Donor Advised Philanthropy Fund For Wealth Management Inc. — that facilitated the movement by Singham of millions of dollars into a network of U.S. nonprofits. At that meeting, sources said, Bessent delivered a blunt ultimatum: Goldman Sachs could face scrutiny for alleged conspiracy in the funneling of the Singham money and urged Solomon to cooperate with federal investigators. Goldman Sachs is cooperating with the investigation. 🚨 Federal prosecutors are examining a financial structure that follows the three stages investigators often analyze in alleged money laundering: placement, layering and integration. Treasury, DOJ and Goldman Sachs declined to comment. Singham, his wife Jodie Evans -- also under investigation -- and the organizations in the Singham network didn't respond to numerous requests for comment. STEP 1: ALLEGED PLACEMENT According to the reporting, approximately $278 million entered the U.S. financial system through three entities: 🔴 Mutod LLC — $164,040,000 🔴 GS Donor Advised Philanthropy Fund for Wealth Management Inc. (Goldman Sachs) — $110,376,701 🔴 Likewise Conceptions LLC — $3,500,000 STEP 2: ALLEGED LAYERING Those funds were then allegedly routed through six nonprofit organizations: 🔴 $167,540,000 to People's Support Foundation Ltd., a 501(c)(3) nonprofit established with a hotel address in 2017 in Chicago and Singham's wife, Evans, on the board. 🔴 $68,748,701 to Justice and Education Fund Inc., a 501(c)(3) established with a UPS Store address in 2018 in New York City with self-avowed communists, including Manola De Los Santos, on the board. 🔴 $22,440,000 to People's Forum Inc., a 501(c)(3) established in 2017 on W. 37th Street in New York City with Evans and De Los Santos on the board. 🔴 $16,760,000 to Tricontinental Ltd., a 501(c)(3) established in North Hampton, Mass., in 2017 by Singham friend and fellow Marxist ideologue Vijay Prashad. 🔴 $1,330,000 to CodePink Women For Peace, a 501(c)(3) established in 2009 in Marina Del Ray, Calif., by Singham's wife, Evans, and her friend, Susan Medea Benjamin. 🔴 $1,098,000 to Breakthrough BT Media Inc., a 501(c)(3) established in New York City in 2020 at the People's Forum headquarters with longtime American communist leader Brian Becker's son, Ben Becker, as editor-in-chief of its pro-communist propaganda outlet, Breakthrough News. STEP 3: ALLEGED INTEGRATION According to the reporting, those organizations then distributed funding and support into a broader activist network that included: 🔴 People's Welfare Association 🔴 ANSWER Coalition 🔴 Party for Socialism and Liberation 🔴 Numerous organizations operating across Sub-Saharan Africa, Central America, North America and other regions. Federal prosecutors have issued grand jury subpoenas seeking bank records and financial documents as they determine whether criminal charges are warranted. A grand jury investigation is an investigative process, not a finding of guilt. For this reporting, I traced hundreds of financial transactions, nonprofit filings and corporate records documenting how money allegedly moved through this network. WATCH the money flow. 🧵

My entire AI stack is now Chinese 🇨🇳 87% cheaper. same revenue swaps by task: 1. reasoning / backend brain Opus 4.8 → Kimi K2.7 benchmark gap: ~8% · price: ~11x cheaper 2. code generation GPT-5.5 → Qwen 3.7 Max benchmark gap: ~18% · price: ~7x cheaper 3. agent loops + tool calling Sonnet 4.7 → GLM 5.2 benchmark gap: ~3% · price: ~5x cheaper on input 4. cheap volume / bulk processing GPT-5.5 mini → MiMo V2.5 benchmark gap: ~6% · price: ~12x cheaper 5. image generation GPT-Image-2 → Wan 2.5 benchmark gap: ~5% · price: ~8x cheaper 6. video generation Sora 2 → Kling 3.0 benchmark gap: roughly equal · price: ~6x cheaper [ result after 30 days: ] operating costs dropped 87%, output quality dropped 4% on average, revenue unchanged the most important that these models will be not banned in a month and i can run them locally nobody will steal my data and i can learn them as i need full article drops tomorrow with: > exact routing logic per task type > the 2 cases where I still pay for American > the migration playbook anyone can copy in a weekend VERY IMPORTANT to get migrated now, while it's not too late

一个 Claude Code + 设计技能 + 参考图 + 多轮审美打磨 + Hostinger 部署的完整建站教程 重点是如何避免 AI 网站的廉价模板感 我觉得我很幸运，这几天就在找这方面的内容学习，都知道我做App巨丑无比。 几个核心： 定义“高价感网站”的 8 个标准： 观点/方向 字体 颜色 层级 图片素材 动效 移动端 以及速度和完成度这些隐形细节。 视频提及两个Skills： 1. front-end design（不确定） 2. UI UX Pro Max 让 Claude 避免普通 AI 网站常见的模板感、烂字体和无聊配色。 技巧： - 提示词要具体，最好给 Claude 参考截图，并让它先问澄清问题。 - Claude 生成初版后，逐项打磨：字体、配色、文案、层级、图片/视频素材、Hero 区域、滚动动效、光标交互、微交互。 - 不要一次次喂很细的指令，而是先讲“想要什么感觉”，比如“下面几个区块有点普通，不要更复杂，要更贵气”。

兄弟们，今天真挖到一个宝。 我感觉很多人还没意识到。 **Agent 最大的问题，从来不是模型不够强。** 而是： **它根本拿不到数据。** 你让 Agent 去网上找资料。 结果现实是： 推特/X API 要付费。 网页抓取要订阅。 抖音小红书都要付费 以前我让 Claude Code 帮我抓点信息。 体验跟闯关差不多。 结果今天发现一个开源项目： 直接帮 Agent 打通整个互联网。 它现在能直接接入 14 个平台。 我装完直接测试。 让它抓一篇小红书帖子评论，然后做总结。 10 秒直接出结果。 更关键的是： 它不需要你自己折腾配置。 工具自动帮你选。 接口自动帮你处理。 哪条链路失效还能自动切换。 安装方式更简单。 直接对 Agent 说一句： **Install Agent Reach** 就能开始跑。 越来越觉得。 未来 AI Agent 的竞争。 拼的不是模型。 拼的是谁能先帮 Agent 接管互联网。

Codex Remote 功能好像有个 bug 在当前 5 小时额度用光时，消息发出去，thinking 几秒钟就没了，没有额度提醒，也没有任何其他异常，就是什么都没有了。。 中午吃饭的全程都在纳闷，到底咋了，吃完饭赶紧回家看，呃。。好吧，没额度了