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The tech giant said a group called "Outsider Enterprise" used AI to scam hundreds of thousands of victims, sending 2.5 million text messages over a span of two weeks.
The company made its heavily anticipated debut on Friday, trading higher than its initial $135 IPO price.
A SpaceX-Tesla merger seems inevitable.
Section 702 of FISA to expire tonight, but certification lasts until March 2027.
TL;DR: HTML-first means shipping real, server-rendered content before any JavaScript runs, then adding scripts only where they earn their place. In 2026 this approach is winning again, not out of nostalgia, but because the median mobile page now ships around 646 KB of JavaScript, fewer than half of mobile sites pass Core Web Vitals, and the browser already does natively what many sites still pull in libraries for. For most business websites, progressive enhancement is faster to ship, cheaper to run, and easier to keep alive. Sometime in 2026, "just use HTML" stopped being a contrarian take. I noticed it first in my own client work, not in a conference talk. The sites that start close to the platform, plain HTML, forms, links, server rendering, and add JavaScript only where it genuinely helps, are the ones that launch faster, load cleaner, and generate fewer confused support messages two months later. This is not anti-JavaScript. It is a reaction to a decade of reaching for a framework before asking whether the project needed one. The pendulum is swinging back toward the browser, and the numbers explain why. What HTML-first actually means (and why it is not 2009 web design) The fastest way to misunderstand this is to picture table layouts and inline styles. That is not it. HTML-first is an order of operations. You build a page that is complete and usable as server-rendered HTML, then you enhance it. The content is readable before a single script loads. The form submits even if JavaScript never arrives. This is the old idea of progressive enhancement , applied deliberately with modern tools instead of by accident. There is a small but real movement around this now. The HTML First community manifesto argues, fairly, that the platform has far more capability than most teams use. You do not have to agree with every line of it to notice the shift. The point is not to ban JavaScript. The point is to stop treating it as the default starting material for every page. The 2026
Há alguns meses, pagando $7/mês por um servidor de 512MB no Render pra hospedar uma API de um projeto da escola, decidi entender como esse tipo de infraestrutura funciona por baixo — e construir a minha própria versão. O resultado é o Arctis Deploy : uma plataforma de deploy contínuo via Git, com Docker isolado por projeto. Esse post é sobre como ela funciona por dentro. Arquitetura geral Frontend (Next.js) │ ▼ Backend (Go + Fiber) — Clean Architecture │ ├──► Deploy-Agent (roda em cada servidor) → Docker └──► Database-Agent (provisiona MySQL/Postgres) em desenvolvimento, ainda não disponível para usuários Cada servidor de produção roda um deploy-agent próprio. O backend central envia comandos via HTTPs autenticado e o agent executa o que for necessário — clone, build, container, métricas. O pipeline de deploy Todo deploy passa por 5 etapas sequenciais: clone — git clone --depth 1 , otimizado pra trazer só o necessário analyze — detecta o framework automaticamente lendo package.json , requirements.txt , go.mod , etc. build — gera um Dockerfile multi-stage específico pro framework detectado (timeout: 15min) deploy — sobe o container na porta alocada, com limites de CPU/RAM aplicados health check — faz requisições até o container responder, com rollback automático em caso de falha Cada etapa emite logs estruturados ( info / warn / error ), transmitidos via WebSocket em tempo real pro frontend. Detecção automática de framework Next.js, React, Vue, Node.js, e sites estáticos. A detecção é baseada nos arquivos do repositório — o usuário só conecta o Git e dá push. Outros detalhes Pool de recursos : cada plano define um total de Projetos/CPU/RAM/disco que o usuário distribui livremente entre seus projetos Auto-sleep : no free, containers sem tráfego são pausados ( docker pause ) — não destruídos — e despertam automaticamente na próxima requisição Domínios : subdomínio automático ou domínio próprio, com SSL via Cloudflare Pagamentos : MercadoPago integrado, planos em real V
TechCrunch has followed SpaceX's start, struggles, and successes from the early days. And we're here for what happens next too. This package of SpaceX IPO coverage includes who stands to win (and maybe some who won't), pre-IPO deals, and what's tucked inside its S-1 registration document.
A pending report on climate attribution may be setting the stage for conflict.
The company made its heavily anticipated debut on Friday, trading higher than its initial $135 IPO price.
The tech giant said a group called "Outsider Enterprise" used AI to scam hundreds of thousands of victims, sending 2.5 million text messages over a span of two weeks.
The IPO market is back, and it’s not the same companies leading the charge. FAANG had a good run, but a new acronym is taking over: MANGOS — Meta (or Microsoft, depending on who you ask), Anthropic, Nvidia, Google, OpenAI, and SpaceX. Half of that bunch is heading to public markets in the same window, and it’s a stress test for investors, for valuations, and for […]
A quick note on the links below. The DigitalOcean and Vultr links in this article are referral links. If you sign up via them, you get a free credit on your new account (currently $200 over 60 days for DigitalOcean and up to $300 for Vultr) and the author of this article gets a small referral credit too, at no extra cost to you. AWS does not run an equivalent referral program, so the AWS links are normal links. The review below is the author's own evaluation; the credits do not change the recommendations. If you have ever spent a workday watching your website refuse to load, you are not alone. In a recent outage , a single building in Northern Virginia hosting one of Amazon's availability zones (the cloud-industry term for one campus's worth of servers in one region ) got too hot. The hardware shut itself down. AWS calls this a thermal event. Customers around the world have other names for it. Big enterprises ride out outages like this. They have multi-region setups, dedicated SRE teams, and SLA credits that will refund a small fraction of their monthly bill. Small and mid-size businesses do not. They lose a day of revenue, scramble to reassure customers, and then read a post-mortem in a few weeks that explains what went wrong in language that does not help them recover the lost revenue. The cloud was supposed to make small businesses look big. After each new outage, it is fair to ask: is AWS actually the right cloud for small businesses at all? Two providers worth a serious look, DigitalOcean and Vultr , are simpler, cheaper at the entry level, and built around use cases that more closely match what a small business actually needs. Here is what each one does, where AWS is still the right answer, and how to decide. Why AWS hits small businesses harder than big ones When a giant company has an AWS outage, three teams kick into gear. There is the engineering team that fails workloads over to a backup region. There is the customer-success team that updates the status p
The SpaceX IPO has boosted Musk's paper wealth to more than $1,000,000,000,000 at a time when he is more hated -- and powerful -- than ever.
The company made its heavily-anticipated debut on Friday, trading higher than its initial $135 IPO price.
Model Context Protocol (MCP): Giao Thức Kết Nối Thế Giới Cho Trí Tuệ Nhân Tạo Trong thế giới AI đang phát triển với tốc độ chóng mặt, việc xây dựng các ứng dụng thông minh, có khả năng tương tác linh hoạt với dữ liệu và công cụ bên ngoài là một thách thức lớn. Các mô hình ngôn ngữ lớn (LLM) như GPT, Claude, hay Gemini dù mạnh mẽ nhưng thường hoạt động trong "vùng cô lập", thiếu khả năng truy cập trực tiếp vào các hệ thống bên ngoài theo thời gian thực. Đây chính là lúc Model Context Protocol (MCP) xuất hiện như một giải pháp cách mạng. MCP là một giao thức mở, được thiết kế để tiêu chuẩn hóa cách thức các ứng dụng cung cấp ngữ cảnh (context) cho LLM, giúp phá vỡ rào cản giữa trí tuệ nhân tạo và thế giới thực. Bài viết này sẽ đi sâu vào phân tích Model Context Protocol , từ định nghĩa, kiến trúc, đến các lợi ích và ứng dụng thực tế, giúp bạn hiểu tại sao nó được coi là "ngôn ngữ chung" của tương lai AI. Model Context Protocol (MCP) Là Gì? Model Context Protocol (MCP) là một giao thức mở, được phát triển để tạo ra một chuẩn giao tiếp thống nhất giữa các LLM và các nguồn dữ liệu, công cụ bên ngoài. Hãy tưởng tượng MCP như một "cổng USB" dành cho AI. Thay vì mỗi ứng dụng AI phải viết mã tích hợp riêng lẻ với từng loại cơ sở dữ liệu, API, hay hệ thống tệp tin (mỗi loại một kiểu "phích cắm" khác nhau), MCP cung cấp một giao diện chuẩn. Bất kỳ ứng dụng nào hỗ trợ MCP đều có thể kết nối với bất kỳ nguồn tài nguyên nào cũng hỗ trợ MCP một cách liền mạch. Mục Đích Cốt Lõi Của MCP Mục tiêu chính của Model Context Protocol là giải quyết vấn đề "fragmentation" (phân mảnh) trong hệ sinh thái AI. Trước MCP, việc tích hợp thường diễn ra rời rạc: Mỗi nhà phát triển ứng dụng phải tự xây dựng các "kết nối" tùy chỉnh. Mỗi lần cập nhật mô hình hoặc công cụ có thể làm hỏng các tích hợp cũ. Khó khăn trong việc chia sẻ và tái sử dụng các công cụ AI giữa các dự án. MCP giải quyết những vấn đề này bằng cách cung cấp một lớp trừu tượng chuẩn hóa. Kiến Trúc Và Cách Thức Hoạt Động Của MCP Kiến
I inherited a SQL Server database with 2.3 million rows. Queries took 45 seconds. Users were frustrated. Dashboards timed out. Here is exactly what I did. Step 1: Find the slowest queries I used SQL Server's query store to identify the top 10 worst performing queries. Step 2: Check the execution plan Missing index warnings everywhere. Also saw table scans on a 2 million row table. Step 3: Add targeted indexes Created two non-clustered indexes on the most filtered columns. No over-indexing. Just what the queries actually needed. Step 4: Rewrite the worst join One query was joining 6 tables with a cross apply that made no sense. Restructured to inner joins with proper filter ordering. The result 45 seconds down to 8 seconds. An 82% improvement. Real-time dashboards started working again. Key lesson Check what is actually slow before changing anything. Most people skip this and waste time optimizing the wrong thing. What is your fastest query optimization win?
I inherited a SQL Server database with 2.3 million rows. Queries took 45 seconds. Users were frustrated. Dashboards timed out. Here is exactly what I did. Step 1: Find the slowest queries I used SQL Server's query store to identify the top 10 worst performing queries. Step 2: Check the execution plan Missing index warnings everywhere. Also saw table scans on a 2 million row table. Step 3: Add targeted indexes Created two non-clustered indexes on the most filtered columns. No over-indexing. Just what the queries actually needed. Step 4: Rewrite the worst join One query was joining 6 tables with a cross apply that made no sense. Restructured to inner joins with proper filter ordering. The result 45 seconds down to 8 seconds. An 82% improvement. Real-time dashboards started working again. Key lesson Check what is actually slow before changing anything. Most people skip this and waste time optimizing the wrong thing. What is your fastest query optimization win?
More than 350,000 spectators will watch 62 cars compete, day and night.
TechCrunch has followed SpaceX's start, struggles, and successes from the early days. And we're here for what happens next too. This package of SpaceX IPO coverage includes who stands to win (and maybe some who won't), pre-IPO deals, and what's tucked inside its S-1 registration document.
They swear they haven’t peeked at the closely guarded secret and that they’ll keep the cryptographic competition going.