If you’re hunting for a remote job, you just need to figure out how Reddit works, and you’ll never be unemployed for a long time. Here’s a list of subreddits you should bookmark right now:

Este tipo explica cómo crear páginas web profesionales con GPT-5.6 Sol. Un tutorial de 21 minutos donde explica paso a paso cómo construir diseños con un acabado cinematográfico. 🔖 Guárdalo. Vale cada minuto.

🚨 THIS IS INSAAAAANE! ChatGPT can now build and publish complete websites better than WordPress and Wix in seconds. Here is how to use it right now. Save this. 👇

🚨 SON DAKİKA: ChatGPT artık fotoğraflarınızı profesyonel bir fotoğrafçı gibi düzenleyebilir. Kullanabileceğiniz bazı komut dosyaları şunlar:

Full Course on How To Speak Clearly

4 Anthropic engineers. 75 minutes. Their best lessons on how to actually prompt Claude: 14:12 - The prompts Anthropic engineers actually use 32:33 - The simple fix that makes prompts work better 59:44 - How to give Claude the context it needs 1:07:59 - The prompt that keeps working while you sleep Most prompting courses teach theory. This shows how the people building Claude actually use it. This 75-minute watch is worth more than most paid prompting courses. Bookmark and watch it tonight Then read the step-by-step guide below

If you’re serious about building and automating with AI, watch this first. this is one of the best Claude Cowork tutorials I’ve come across. it is by Tina Huang ( ex-Meta data scientist). she explains the entire workflow in under 25 minutes without overcomplicating anything. definitely worth bookmarking.

Google Is quietly giving away production grade AI for $0😳 google is quietly giving away production-grade AI for $0. No catch no card gemini 2.5 Flash, 2.5 Pro, even 3.6 Flash all callable from a free API key. here's the setup that takes 2 minutes Value prop the Gemini API Free tier is a real, permanent tier not a 7-day trial, no credit card, no subscribe to continue you get the same models devs ship with What you get - gemini 2.5 Flash fast, free, app-ready - gemini 2.5 Pro strong reasoning, free quota included - gemini 3.6 Flash latest flash model, free-tier eligible - rate limits in RPM / TPM / RPD (per project, resets daily PT) - no billing account required to start Cost compare - openAI GPT-4o mini API → paid after free credit - claude API → paid - gemini Free tier → $0 forever, no card Why this matters you can build a real AI agent, chatbot, or RAG app tonight and ship it without touching a paywall free tiers are how Google pulls devs into the ecosystem. Use it while it lasts 2-min setup 1. Go to aistudio.google.com "Get API key" (free, no card) 2. Install + run: pip install google-generativeai import google.generativeai as genai genai.configure(api_key="YOUR_KEY") m = genai.GenerativeModel("gemini-2.5-flash") print(m.generate_content("Build a Flask todo app").text) done you're live - free tier has RPM/TPM/RPD caps (e.g. 2.5 Flash ~15 RPM / 1M TPM / 1500 RPD) fine for dev & small apps, not heavy prod traffic - preview models get stricter limits - limits can change check your AI Studio dashboard Source (verified): ai.google.dev/gemini-api/doc… ai.google.dev/gemini-api/doc… GitHub OSS alt: Ollama (local, 100% free) github.com/ollama/ollama liteLLM (route free tiers) github.com/BerriAI/litellm follow @nahid_pro09 for daily free AI deals that actually work

NVIDIA CEO, @JensenHuang: "If you're still writing prompts, stop. Build loops instead." The 7th richest man on earth spoke at Stanford for 67 minutes. No script. No PR. This is free. I've seen $300 courses that teach less. Don't just watch it. Build your first loop. Step-by-step guide below.

I owe a most my profitability to the simplicity of my trading style. I use very few tools and indicators: > EMAs (10, 20 on LTF and 50, 200 on HTF) > Fib retracements > Supertrend > Liquidity pools > and old reliable trendlines On their own, they're nothing special. But combined, they make it easy to spot trends, entries/exits, support & resistance. I have some new followers that are new to trading so let's break these down:

GOODBYE TO CYBERSECURITY! Someone just open-sourced an arsenal of AI hacking tools. Not one. Not ten. Hundreds. Inside the repository: • Jailbreak frameworks for LLMs • Prompt injection testing tools • AI red team agents • Model extraction utilities • Supply chain attack demos • Automated AI pentesting frameworks These are the same categories of tools security researchers use to find vulnerabilities before attackers do. Now anyone can study them. That's both exciting... and terrifying. The biggest threat to AI isn't smarter models. It's insecure ones. If you're building with LLMs and you're not actively testing your prompts, agents, and infrastructure— You're probably shipping vulnerabilities you don't even know exist. Open source is accelerating AI. It's also accelerating AI attacks. Repository link in the comments ↓

A man spends 50 years teaching at MIT. He knows his time is running out. So he records one last lecture — everything he knows, distilled into a single hour. He died 5 months later. This is that lecture. The most important hour you'll watch this week. Bookmark it for later!

Anthropic acaba de soltar un curso gratis de 4 horas Usando Claude exactamente con los mismos flujos de trabajo que usan sus propios ingenieros 00:15 - Cómo promptar a Claude de la forma correcta 11:41 - El contrato de output que elimina respuestas inconsistentes 30:04 - El loop que hace que los agentes de Claude sean mucho más fiables (lo mas interesante) 33:21 - Por qué Claude se atasca en tareas de código 01:33:39 - El workflow diario que usan los ingenieros de Anthropic 02:50:56 - El pequeño ajuste que hace que Claude se vuelva mucho más inteligente Estas 4 horas valen más que cualquier curso de vibe coding de pago Guárdalo y míralo hoy mismo Después lee el artículo de abajo

hoy me levanté, me preparé un café y me vi esta charla de 2 horas sobre cómo funcionan los LLMs. les aseguro que valió cada minuto. recomendadísima.

Claude FULL COURSE 4 HOUR (Build & Automate Anything)

this is f*cking gold a guy spent 6 weeks with no sleep building a personal AI agent from scratch, then wrote down all 100 things he learned not a chatbot wrapper. an assistant that manages tasks, tracks deals, reads emails, and flags things before you even ask. if I had this before I built my first agent, I would've skipped a month of trial and error in the right hands, this changes everything: → write a Constitution, not a system prompt → give your agent a name, a voice, a role → separate hard rules from behavioral guidelines → build a Capability and a Component Map separately And that's tip 5 out of 100. (All tips are dropped in the comments below) then read how to use claude as your company OS below: ↓

This video will make you an expert loop engineer in 21 minutes. Prompting is dead. You need to be running loops. 0:51 Understanding LLMs 3:41 wtf is a loop? 6:17 Two kinds of loops 8:54 /goal versus /loop 10:44 Website audit demo 13:27 Real loop workflow ideas 19:11 Scheduling loops

In 1999, Warren Buffett gave a 1-hour masterclass explaining why most people never build wealth. Bookmark it!

This prompt will teach you how to build your first AI-agent ↓

I've tested, built, and automated dozens of trading strategies with AI. Sounds complicated, but it's way easier than you'd imagine. Building used to require technical expertise. Now it just requires Claude. If you want to build your first AI trading bot, follow these steps 9 steps: 1. Pick one strategy (RSI, EMA cross, mean reversion) - could even be your own strategy 2. Prompt Claude to turn it into a fully objective rule set. No discretion; every rule needs to be computable. Entry/exit rules, position sizing, etc. Turn everything into .md files. 3. Prompt Claude to convert those rules into TradingView Pine Script v6, ready to paste into the Pine Editor. 4. Open TradingView, paste the code, click Add to Chart. 5. Download the CSV of every backtested trade, feed it back to Claude, and ask exactly how to improve the strategy. 6. Repeat steps 4-5 until the strategy actually holds up across multiple timeframes and asset classes. 7. Once you have a solid strategy, connect your exchange or broker (Alpaca, Blofin, Robinhood, etc) through its MCP server. 8. Generate an API key from your exchange and hand it to your AI agent (I like Claude). 9. Tell it to watch the market and flag you when a trade matches your strategy's conditions, or let it execute automatically. Any strategy you can imagine can be turned into code, and thus, completely automated. Save this to build your first bot today (you can even feed this tweet to Claude Code).