are so easy to use that it’s also easy to use them the wrong way, like holding a hammer by the head. The same is true for Pydantic, a high-performance data validation library for Python. In Pydantic v2, the core validation engine is implemented in Rust, making it one of the fastest data validation solutions …
Pydantic Performance: 4 Tips on How to Validate Large Amounts of Data Efficiently Read More »
Image by Author I used to hate vibe coding. I believed I could write better code, design cleaner systems, and make more thoughtful architectural decisions on my own. For a long time, that was probably true. Over time, things changed. AI agents improved significantly. MCP servers, Claude skills, agent workflows, planning-first execution, and long-horizon …
Weather predictions need to capture the full range of possibilities — including worst case scenarios, which are the most important to plan for. WeatherNext 2 can predict hundreds of possible weather outcomes from a single starting point. Each prediction takes less than a minute on a single TPU; it would take hours on a supercomputer …
Google DeepMind’s most advanced forecasting model Read More »
about the Small-World Experiment, conducted by Stanley Milgram in the 1960’s. He devised an experiment by which a letter was given to a volunteer person in the United States, with the instruction to forward the letter to their personal contact most likely to know another person – the target – in the same country. In …
Routing in a Sparse Graph: a Distributed Q-Learning Approach Read More »
Image by Author Contents# Introduction# What Is Vaex?# Comparing Vaex And Dask# Why Traditional Tools Struggle# How Vaex Works Under The Hood# Getting Started With Vaex// Advanced Vaex Features# Concluding Thoughts # Introduction Handling massive datasets containing billions of rows is a major challenge in data science and analytics. Traditional tools like Pandas work well for small to medium datasets that fit in …
Working with Billion-Row Datasets in Python (Using Vaex) Read More »
has become the single most effective approach for me to solve problems. Most problems I encounter at work can be solved effectively by utilizing agents. This is in contrast to manually solving tasks or coding up a solution yourself. In this article, I’ll give a high-level overview of how I approach problems and solve them …
Image by Author Contents# Introduction# 1. OpenRouter# 2. Olostep# 3. Tinker API# 4. SerpApi# 5. MOSTLY AI Generator API# Wrapping Up # Introduction You’ve probably heard people talk about APIs a lot. Basically, an API allows a software to ask another piece of software for help. For example, when we use our weather app, it might use a real-time API to get …
In August, we previewed Genie 3, a general-purpose world model capable of generating diverse, interactive environments. Even in this early form, trusted testers were able to create an impressive range of fascinating worlds and experiences, and uncovered entirely new ways to use it. The next step is to broaden access through a dedicated, interactive prototype …
AI world model now available for Ultra users in U.S. Read More »
in the federated learning series I am doing, and if you just landed here, I would recommend going through the first part where we discussed how federated learning works at a high level. For a quick refresher, here is an interactive app that I created in a marimo notebook where you can perform local training, …
Federated Learning, Part 2: Implementation with the Flower Framework 🌼 Read More »
