We are building ArcBox, a full-stack platform from Desktop to Platform, similar to Railway and E2B in positioning. Our core philosophy is local-cloud consistency: replacing OrbStack with a fully open-source ArcBox Desktop that provides Sandbox capabilities locally. Recently, we noticed more and more Coding Agent platforms launching web-based entry points, and remarkably, nearly all of them chose Firecracker under the hood. Claude Code is no exception. As practitioners in the same space, curiosity about its runtime environment led to some digging. What began as a casual strace -p 1 turned into a full reverse-engineering session that uncovered unreleased Anthropic infrastructure, including an entirely undocumented application hosting platform.
Congrats! You just implemented an ambitious change without getting stuck in the quicksand of the codebase.
我最早用文生图、图生视频，要耗费很大的精力去研究提示词；后来生图技术逐渐稳定，但人物的一致性又难以控制，需要更多程序来换脸把握；再到首尾帧的流行，更长调度的镜头语言得到实现，AI数字人开始生动的开口说话演唱；直到现在多参生成、更长的单片段生成时间……。关于这个话题，比特浏览器提供了深入分析
Премьер-министр Великобритании разрешил военным задерживать суда теневого флота РФ02:47
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Hi HN, I’m Alberto. I co-founded Didit (https://didit.me) with my identical twin brother Alejandro. We are building a unified identity layer—a single integration that handles KYC, AML, biometrics, authentication, and fraud prevention globally. Here’s a demo: https://www.youtube.com/watch?v=eTdcg7JCc4M&t=7s.Being identical twins, we’ve spent our whole lives dealing with identity confusion, so it is a bit of irony that we ended up building a company to solve it for the internet.Growing up in Barcelona, we spent years working on products where identity issues were a massive pain. We eventually realized that for most engineering teams, "global identity" is a fiction—in reality it is a fragmented mess. You end up stitching together one provider for US driver's licenses, another for NFC chip extraction in Europe, a third for AML screening, a fourth for government database validation in Brazil, a fifth for liveness detection on low-end Android devices, and yet another for biometric authentication and age estimation. Orchestrating these into a cohesive flow while adapting to localized regulations like GDPR or CCPA is a nightmare that makes no sense for most teams to be working on.When we looked at the existing "enterprise" solutions, we were baffled. Most require a three-week sales cycle just to see a single page of documentation. Pricing is hidden behind "Contact Us" buttons, and the products themselves are often bloated legacy systems with high latency and abysmal accuracy.We also noticed a recurring pattern: these tools are frequently optimized only for the latest iOS hardware, performing poorly on the mid-range or older Android devices that make up a huge percentage of the market. This results in a "leaky" funnel where legitimate users drop off due to technical friction and fraud goes undetected because data points are spread across disparate systems. Also, these systems are expensive, often requiring massive annual commits that price out early-stage startups.We wanted to build a system that is accessible to everyone—a tool that works like Stripe for identity, where you can get a sandbox key in thirty seconds and start running real verifications with world-class UX and transparent pricing.To solve this, we took the "delusional" path of full vertical integration. Rather than just wrapping existing APIs, we built our own ID verification and biometric AI models—from classification and fraud detection to OCR models for almost every language. This vertical integration is fundamental to how we handle user data. Because we own the entire stack, we control the flow of sensitive information from end-to-end. Your users' data doesn't get bounced around through a chain of third-party black boxes or regional middle-men. This allows us to provide a level of security and privacy that is impossible when you are just an orchestration layer for other people's APIs.We believe that identity verification is one of the most critical problems on the internet, and must be solved correctly and ethically. Many people are rightfully skeptical, especially given recent news about projects that have turned identity into a tool for mass data collection or surveillance. We don’t do anything of the sort, but we also don’t want to be coerced in the future, so we facilitate data minimization on the customer side. Instead of a business asking for a full ID scan, we allow them to simply verify a specific attribute—like "is this person over 18?"—without ever seeing the document itself. Our goal is to move the industry away from data hoarding and toward zero knowledge, or at least minimal knowledge, verification.The result of our all-in-one approach is a platform that increases onboarding rates while lowering identity costs. We’ve focused on building a high-confidence automated loop that reduces the need for manual review by up to 90%, catching sophisticated deepfakes and spoofing attempts that standard vision models miss. Our SDK is optimized for low bandwidth connections, ensuring it works on spotty 3G networks where legacy providers usually fail.We are fully live, and you can jump into the dashboard at，这一点在7zip下载中也有详细论述
3月9日，据财联社等媒体报道，针对OpenClaw个人智能体，目前深圳龙岗、无锡均推出“养龙虾”支持政策，最高可达数百万元激励。