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The National Center for Atmospheric Research won't be losing its supercomputer.

Microsoft on Tuesday took the wraps off Adaptive Spec-driven Scoring for Evaluation and Regression Testing, an open source framework for spinning up AI evaluations.

Google launched Universal Cart at I/O 2026 last week. An intelligent cart that follows users across Search, Gemini, YouTube, and Gmail. ALM Corp published the list of named early checkout merchants on May 20: Nike, Sephora, Target, Ulta Beauty, Walmart, Wayfair, and Shopify brands. I read that list twice looking for a Magento store. None. That's the article. Below: the five-protocol stack you'd otherwise have to read five different specs to understand, the one decision your existing payment processor has already made for you, and a thirty-day Magento-specific playbook to ship before agent-routed traffic starts flowing past your store. If your store runs on Magento or Adobe Commerce, agent-routed traffic is going to flow past you - first in the US, then Canada and Australia "in the coming months," then the UK. The agent layer isn't going to wait for Adobe Commerce to ship native UCP support. The merchants in the first cohort had thirty days of head-start. Most of that window is already gone. Here's what to ship before the rest of it closes. The five-protocol stack, compressed Four protocols define how an AI agent buys something on behalf of a user. A fifth ties payments together. UCP - the discovery layer. Your store publishes a manifest at /.well-known/ucp declaring its capabilities, transports, and payment handlers. MCP - the transport layer. Agents dispatch your commerce tool calls over MCP messages. ACP - OpenAI and Stripe's checkout protocol. Stripe-led coalition. AP2 - Google's payment-authorization protocol. Sixty-plus partners signed at launch: Adyen, American Express, Mastercard, PayPal, Coinbase, Revolut, Worldpay, and more. MPP - Stripe's machine-payments protocol. Same family as ACP. Benji Fisher's synthesis post on dev.to is the sharpest framing I've read: UCP discovers, MCP transports, ACP and AP2 authorize. Read it if you haven't. The UCP spec itself is densifying fast. A loyalty extension landed on May 19 ( #340 ). A schema-validated documentation har

Migrar 100 usuários manualmente no console da AWS é lento, suscetível a erros e impossível de auditar com precisão. Neste artigo você vai ver como automatizar esse processo usando AWS CLI e Shell Script direto no AWS CloudShell — sem instalar nada localmente. O resultado final: usuários criados, alocados nos grupos corretos e com MFA obrigatório, tudo em minutos. O que é o IAM? O AWS Identity and Access Management (IAM) é o serviço que controla quem pode acessar os recursos da sua conta AWS e o que cada pessoa ou serviço pode fazer. Com o IAM você gerencia: Conceito Descrição Usuário Identidade individual com credenciais próprias Grupo Conjunto de usuários que compartilham as mesmas permissões Política Documento JSON que define o que é permitido ou negado Role Identidade temporária assumida por serviços ou usuários A boa prática é nunca conceder permissões diretamente a um usuário — sempre use grupos. Visão geral da solução O fluxo é simples: Criar os grupos IAM no console Montar um arquivo CSV com os dados dos usuários Rodar um shell script no CloudShell que lê o CSV e cria tudo automaticamente Aplicar a política de MFA obrigatório nos grupos Passo 1 — Criar os Grupos IAM Antes de importar os usuários, os grupos precisam existir. No AWS Console , acesse IAM → User groups → Create group e crie um grupo para cada perfil do seu ambiente. Neste exemplo usaremos: RedesAdmin — administradores de rede LinuxAdmin — administradores de servidores Linux DBA — administradores de banco de dados Estagiarios — acesso limitado para estagiários Nomes de grupos suportam até 128 caracteres (letras, números e + = , . @ _ - ), são únicos por conta e não diferenciam maiúsculas de minúsculas. Passo 2 — Montar o arquivo CSV Crie uma planilha com os dados dos usuários e salve como CSV separado por vírgula (UTF-8) . O arquivo deve ter exatamente três colunas: Username , Group e Password . Username , Group , Password joao . silva , LinuxAdmin , Senha @2024 ! maria . souza , DBA , Senha @2024

My father worked in IT for over thirty years, and growing up around that shaped how I thought about computers. The earliest memory I have is sitting in my father's lap as he does something on his computer. One of the oldest photos I have is of me sitting on a chair in front of a computer. I grew up idolizing him. I switched to Linux when I was 12, by myself. I taught myself scripting, picked up programming basics, and spent more time in a terminal than most adults I knew. I have memories of sitting on the roof at 13 with my laptop, trying to crack my neighbor's WiFi with aircrack-ng (they were aware of my endeavors). However, growing up in a politically volatile neighborhood (Lyari) also made me politically aware and literate from a young age. With that, I developed an interest in political science and philosophy. I sat my A levels in economics and sociology, and I did not look back. For the next few years, the technical side of my life became just a habit rather than a professional direction. Then I realized I do not have to choose one or the other. I can carry on doing both. Today, I am an academic and technical editor. The social sciences gave me the writing skills: reading long blocks of dense theory, explaining abstract concepts in plain language, writing long analytical essays. And I understand technical concepts well enough to work with them seriously. I thought of synthesizing both. When I started building a technical writing portfolio, cybersecurity documentation felt like a natural place to go. Not because I had operational experience, but because I had grown up adjacent to that world. I understood the culture, the tooling, and the mindset, even if I had never worked a SOC shift. I knew I wanted to cover security documentation. Security teams produce some of the most consequential written work in any organization, and most of it is poorly structured, inconsistently formatted, or written for the person who already knows the answer rather than the person who

Since the early days of GenAI, when ChatGPT launched in late 2022, we began using prompt engineering to direct chatbots (and later LLMs) with human language instructions to provide us answers to questions or take actions (in a high-level…) In 2025, companies such as OpenAI and Anthropic began releasing a new agentic concept called “AI Agent”, an autonomous system that uses an AI model as its "brain" to perceive an environment, make independent decisions, and execute multi-step tasks using digital tools. Unlike passive chatbots that just answer questions, an agent can plan its own workflow, run commands, and browse the web to achieve a specific goal without constant human supervision. In this blog post, I will explain the concept of Context-as-Code and share some coding examples. Introducing Context-as-Code Traditional prompting is a one-way street. You type out your instructions, send them off, and that text never changes. AI agents operate completely differently. Because they work on their own, every action they take creates a mountain of new data. Every time an agent opens a file, checks an error, or runs a tool, it adds more information to the pile, which quickly overwhelms a standard chat screen. Context-as-Code treats the agent like a stateless compute engine. Instead of a massive text prompt, we use version-controlled files ( CLAUDE.md , AGENTS.md ) to establish structural boundaries, separating the permanent project rules from the temporary, dynamic session memory. Context-as-Code transforms loose AI prompts into version-controlled engineering assets by using structured Markdown files to establish permanent, auditable boundaries directly within a project repository. The Discovery Stage (Onboarding the Agent) Before an agent writes a single line of code, it must parse the overall project layout. These files act as the "map" for an incoming AI. llms.txt Serves as a lightweight text directory mapped out in Markdown format. Placed at the root of a project or webs

submitted by /u/someone-very-cool [link] [留言]

A new reading subscription from Everand offers access to both ebooks and audiobooks, and Fable's book club community.

International Mathematical Union endorses warning about tech industry influence.

The caveat is that one of the world's most famous living directors is using the tech solely for storyboarding.

Microsoft claimed last year that it had made a key breakthrough in quantum computing with Majorana 1, the company's first quantum processor. While physicists were immediately skeptical of Microsoft's claims, the software giant is announcing Majorana 2 today, the next generation of its topological quantum chip. Majorana 2 contains qubits, a unit of information in […]

Microsoft announced a bunch of new in-house AI models at Build 2026, including a new "flagship" model: MAI-Thinking-1. It's an ambitious step into model development for Microsoft, which introduced its initial in-house models last year - before then, it had relied on OpenAI's models. The two companies recently renegotiated their deal to loosen ties. According […]

Launched at Build, Microsoft Scout is a new AI assistant meant to bring the power and flexibility of OpenClaw into the Microsoft 365 system.

Google Photos and Google Play Books are also getting new AI-powered updates.

Microsoft’s OpenClaw-style agent appears in Teams, just like a human colleague, and automates your dull office tasks.

The specification lets developer, compliance, and security teams define their own policies for agents to follow in portable policy files.

Much like Google, Microsoft is launching its own version of OpenClaw. Microsoft Scout is an always-on assistant that integrates into Microsoft 365 apps like Outlook, OneDrive, and Microsoft Teams, allowing businesses to assign a virtual assistant to employees to help with organizing calendars, expense reporting, email drafts, and much more. Unlike Copilot that lives inside […]

"We do not know when it will be safe to go outside. We only know that day is not this day."

Sometime late last year a company called Logical Intelligence developed an EBM called Kona. What do people make of the company’s claims that they have a close to functioning EBM. And if true, what impact would this have on existing AI? submitted by /u/Treey1234 [link] [留言]

A glass screen protector is one of a few essential accessories that I strongly recommend to every Switch 2 owner. In fact, it should be a priority to stick one onto the console’s screen as soon as possible to avoid accidental scratches. To test the candidates below, I installed and removed Switch 2 screen protectors […]