The example-driven, practical walkthrough of Large Language Models and their growing list of related features, as a new entry to my general audience series on LLMs. In this more practical followup, I take you through the many ways I use LLMs in my own life.…

By Rajiv Shringi, Vinay Chella, Kaidan Fullerton, Oleksii Tkachuk, Joey Lynch

I have encountered that there are mainly three types of blogs/videos/tutorials talking about transformers

A 3D animated visualization of an LLM with a walkthrough.

A research-backed AI scenario forecast.

We have discovered a critical vulnerability in the Model Context Protocol (MCP) that allows for

Explore A2A, Google's new open protocol empowering developers to build interoperable AI solutions.

A comprehensive guide to voice AI in 2025

Understanding GRPO and New Insights from Reasoning Model Papers

Workers Builds, our CI/CD product for deploying Workers, monitors build issues by analyzing build failure metadata spread across over one million Durable Objects.

As AI agents powered by Large Language Models (LLMs) become increasingly versatile and capable of addressing a broad spectrum of tasks, ensuring their security has become a critical challenge....

Cursor has grown 100x in load in just a year, sees 1M+ QPS for its data layer, and serves billions of code completions, daily. A deepdive into how it’s built with cofounder, Sualeh Asif

Traditional cloud storage is inherently slow because it is accessed over a network and must synchronize many clients. But what if we could instead put your application code deep into the storage layer, such that your code runs where the data is stored? Durable…

Large Language Models (LLMs) have demonstrated remarkable improvements in reasoning and planning through increased test-time compute, often by framing problem-solving as a search process. While...

R2 SQL provides a built-in, serverless way to run ad-hoc analytic queries against your R2 Data Catalog. This post dives deep under the Iceberg into how we built this distributed engine, from its metadata-driven planner to its parallel execution model.

From GPU architecture and PTX/SASS to warp-tiling and deep asynchronous tensor core pipelines.