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A few months ago, Andrej Karpathy released autoresearch. It's an open-source Python tool that lets an AI agent run experiments on one GPU while you si
A Bloom filter gives you something that feels like magic: it can tell you whether an item is in a set of billions, using only a few kilobytes of memor
In this tutorial, I’ll show you how to build an AI web research agent using Ollama, Qwen, and Python. The agent searches the web for a topic, fetches
On June 12, 2026, SPY closed up 0.54%. EchoStar (SATS) dropped 11%. Lennar (LEN) dropped 4.9%. Most of the other 500 stocks in the index barely moved
Most financial models use analyst consensus as a single forward-looking input: revenue estimate, EPS estimate, EBITDA estimate, or some version of a f
For years, developers have debated which technology stack was best for building websites. Some preferred React. Others chose Vue, Angular, Svelte, or
On April 3, 2025, the US announced sweeping tariffs on Chinese imports. SPY dropped 4.8% that day. The next day, it dropped another 6%. Financial news
Choosing a stock API looks simple until the project becomes real. At first, you only need a few prices. You send a request, get JSON back, load it int
PDFs are still one of the most widely used document formats in business. Financial reports, invoices, contracts, compliance filings, and operational d
Automation scripts often validate process completion instead of system health. A Kubernetes pod can be running while the application inside it can't a
Every product experimentation team running causal inference on LLM-based collaborative features eventually hits the same wall: your users aren't indep
Real-world time series data is rarely clean. Sensors drop out, systems clock-drift, pipelines duplicate records, and manual data entry introduces mist
In this tutorial, you'll learn how to create a simple arithmetic calculator in Python with Tkinter. The project will be one of your first steps toward
When I started studying OSINT, I always felt I was just putting random values into software without deeply understanding what I was doing. After month
Every product experimentation team doing causal inference on LLM-based features eventually hits the same wall: when the provider ships a new model ver
Causal inference for LLM-based features starts with one question editors ask before they ship anything: Did the change actually move the metric, or di
Live options analytics change constantly. Implied volatility shifts, Greeks drift, and the shape of the surface can look different even a few minutes
Most financial AI tools are good at one thing: summarizing a stock. You ask about Apple, NVIDIA, or Tesla, and they give you a clean overview of price
If you've built a Django API and you're wondering how to add authentication so that each user can only access their own data, you're in the right plac
Every product experimentation team running causal inference on LLM-based features eventually hits the same wall: when users click "Try our AI assistan