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NVIDIA cursos de IA de graça A empresa que fabrica os chips que rodam o ChatGPT criou uma plataforma inteira de cursos de IA. Grátis e com certificado. Aqui estão todos os cursos disponíveis ↓🧵

للمهتمين/ات...أكثر من ٥٠٠ كتاب بصيغة pdf من جامعة MIT. في كافة ميادين المعرفة والعلوم.تحميل مجاني. direct.mit.edu/books/search-r…

El desarrollo de backend es “simple” siempre que comprendas estos fundamentos: HTTP Básico • Métodos, códigos de estado y headers Seguridad e Identidad • Auth vs Authorization • JWT, sesiones, cookies y OAuth 2.0 • Hashing (bcrypt/Argon2), salting y 2FA • RBAC y ABAC Fundamentos de API • REST, GraphQL y WebSockets • Versionado, rate limiting, paginación y filtros • Upload y streaming de archivos Servidor • Middleware, error handling, logging y APM Bases de Datos • SQL vs NoSQL • ACID, CAP, índices y optimización • ORM, transacciones y migraciones Rendimiento • Caché (Redis/Memcached) y CDN Escalabilidad y Arquitectura • Load balancing y escalado horiz/vert • Microservicios, queues y event-driven • CQRS, Saga y API Gateway Infra y DevOps • Docker, Kubernetes y CI/CD • Secrets y variables de entorno Seguridad Avanzada • CORS, CSRF, XSS y SQL Injection • Validación y sanitización Background y Concurrencia • Jobs, cron y async/await Calidad y Herramientas • Testing (unit/integration/E2E) • Swagger, Postman y code reviews Producción • Deployment y monitoreo en vivo Una vez que comprendes esto, el backend deja de ser “misterioso” y comienza a volverse sistemático.

La Biblia es la mejor guía de dinero jamás escrita. El dinero se menciona más de 2,000 veces. Aquí hay 10 lecciones directamente de las Escrituras 🧵 Guarden esto.

@matheusferrazf Estes parágrafos são muito bons e realmente faz sentido o que disse. Me despertou curiosidade para lê-lo.

Se as pessoas lessem a "Ética a Nicômaco", a indústria da autoajuda iria à falencia.

@enrichthesoil Sempre um dev sem passado, dizendo que o dev não tem mais futuro

I watch this every time my life starts falling apar

Cybersec: acabou Webdev: acabou Gamedev: 5k dol a hora Dados: BMW x6 por mês Escolham com sabedoria

@jeffecom kkkkkk justamente! lenço humedecido é outra vida. aprendi com uma ex minha... nao sei como tem cara que normaliza cagar e ficar o dia inteiro com o cú todo cagado e fedendo merda... rsrs ou é direto pro banho ou lenço humedecido, ctz!

@aixiomas achava que sabonete de glicerina era coisa de velho, até me hospedar no Hyatt (eles oferecem sabonete granado), ai nunca mais consegui usar outro igual papel higienico e lenço umedecido, é um caminho sem volta. cuide bem do seu precioso

o preto com cheiro de enxofre é o melhor

> open Claude Code > your .env gets read before you type anything > your API keys are now in the chat > your password is now in the chat > you add "don't read .env" to CLAUDE.md > doesn't work > 29 million secrets leaked on GitHub last year > one line in settings.json actually blocks it > there's a config that blocks all of this

@jeffecom Vale comentar tambem que os glicerinados da granado são sensacionais!

Você acha que sabe usar IA pra trabalhar? Boris, criador do Claude Code, mostrou no palco como a Anthropic usa internamente. 80% da empresa. Todo dia. O dado que salta: Onboarding técnico era 2-3 semanas. Hoje, com Claude Code, é 2-3 dias. Cinco coisas pra quem tá começando: — Comece perguntando ao Claude sobre o próprio código — Antes de escrever, peça um plano — Mais contexto = melhores decisões — Use Claude.md pra persistir contexto com o time — Trate o SDK como Unix utility "It's like a super intelligent Unix utility. We've barely scratched the surface." 28 minutos que valem. 🔗

@AYi_AInotes parabens pelo comentário, muito sensato. eu mesmo, sempre ouço todos reclamarem sobre os modelos estarem mais burros, o que é curioso, pois eu utilizo os modelos do gpt e claude diariamente, e nunca notei a burrice de dizem por aí. justamente este é o ponto: um prompt bem feito!

我终于明白为啥最近很多人都在说，GPT和Claude突然变笨了， 昨天OpenAI和Anthropic同时发布了官方提示工程指南， 看完我才发现，并不是模型变笨了， 是它们终于聪明到，不再容忍人类懒得想清楚了🤣🤣🤣 而且最有意思的是， 两个模型的进化方向，居然是完全相反的， Claude Opus 4.7变得越来越字面， 以前它会主动帮你补全模糊的指令， 现在你说什么它就做什么，多一个字都不会猜🤣🤣 GPT-5.5变得越来越自主， 以前你要手把手教它每一步怎么做， 现在你只要告诉它你想要什么结果，它自己会选最优路径， 所以老提示失效的原因也完全相反， 用在Claude上的模糊提示，会得到越来越窄的输出， 用在GPT上的详细流程，会变成多余的噪声， 过去三年我们一直在学怎么教模型做事， 现在反过来了， 模型开始要求我们，先把自己的思考结构化， 其实就是提示工程的本质， 已经从教模型怎么做，变成了先把自己想明白， 所以真正的瓶颈可能不是模型的能力，而是写提示的那个人的思考清晰度， 我感觉以后赢的人，不会是提示写得最长最复杂的人，而是那个最知道自己真正想要什么的人🤔

This Chinese developer launched Llama 70B locally on a MacBook on a plane and for a full 11 hours without internet ran client projects. He was sitting by the window on a transatlantic flight with a MacBook Pro M4 with 64 GB of memory. WiFi on board cost $25 for the flight. He declined. No cloud API, no connection to Anthropic or OpenAI servers, no internet at all. Just a local Llama 3.3 70B on bf16 and his own orchestrator script. The model runs through llama.cpp. Generation speed, 71 tokens per second. Context around 60,000 tokens. Memory usage, 48.6 GiB out of 64. Battery at takeoff, 3 hours 21 minutes. And he gave the orchestrator this system prompt before takeoff: "You are an offline orchestrator running on a single MacBook. There is no network. The only resources you have are local files in /Users/dev/work, the Llama 70B inference server at localhost:8080, and a battery budget of 3 hours 21 minutes. Process the queue at /Users/dev/work/queue.jsonl (one client task per line). For each task: draft → run local evals → save artefact to /Users/dev/work/done/. Save context checkpoints every 12 tasks so you can resume after a battery swap. Stop only on empty queue or when battery drops below 5%." So the system knows exactly what resources it is running on. It knows it has no connection to the outside world for the next 11 hours. It knows it has finite memory and a finite battery. It knows the human will not intervene until the plane lands. The system runs in 1 loop. Takes a task from the queue, runs it through inference, saves the artifact, writes a checkpoint. Task after task, just like that. And only when the battery drops below 5% does the orchestrator automatically pause, waits for the laptop to switch to the backup power bank, and continues from the last checkpoint. Here is what the system actually writes in his log during the flight: "saved context checkpoint 8 of 12 (pos_min = 488, pos_max = 50118, size = 62.813 MiB)" "restored context checkpoint (pos_min = 488, pos_max = 50118)" "prompt processing progress: n_tokens = 50 / 60 818" "task 37016 done | tps = 71 s tokens text → /Users/dev/work/done/proposal_westside.md" Outside the window, clouds, blue sky, and no WiFi. On the tray, 1 MacBook, an open terminal on 2 screens, and an inference server on localhost. From what I have observed, this is the cleanest offline AI workflow I have seen in the past year: 11 hours of flight, $0 for WiFi, and the entire client queue closed before landing.

@paulo_caelum Ele nao fez merda cara. Seu prompt esta uma bosta. Para de codar um pouco e vai estudar. Obrigado de nada.

o junior aqui no terminal "fez merda". nunca usei esse palavreado com ele.

@oalanicolas @bryan_johnson Kkkkkkkkk

Ótima técnica para saber a hora de dizer chega às redes sociais e ir dormir. Meu sono agradece @bryan_johnson

@lethinoais @banhosdev kkkkkkkkkkkk

@banhosdev Ensina como faz amor

bora codar? testando um "claude code" que não tem limite de token e usa modelo chinês aparentemente ta INSANO

🚨 Meta released their Ads MCP and CLI today – if you use Claude or ChatGPT you should install this asap (resources in comments). What makes this announcement so interesting is that it gives AI tools direct, authorized access to help manage your Meta Ads account through natural language. 1. Comprehensive reporting Pull detailed reports, surface performance trends, and quickly understand what is happening across campaigns. 2. Campaign management Create and edit campaigns, ad sets, and ads without manually clicking through Ads Manager. 3. Catalog management Create product catalogs, add product data, and troubleshoot feed issues faster. 4. Signal diagnostics Access signal health and quality insights so you can prioritize the parts of your setup that need attention. This is a huge step forward in agentic media buying. Will be testing this rest of the week!

You should read this and copy what Elon said here literally any time you are in a deposition or cross-examination situation