Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

See how we created a form of invisible surveillance, who gets left out at the gate, and how we’re inadvertently teaching the machine to see, think like us.

The pandas team has released pandas 3.0.0, a major update that changes core behaviors around string handling, memory ...

Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.

Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.

Learn how Zero-Knowledge Proofs (ZKP) provide verifiable tool execution for Model Context Protocol (MCP) in a post-quantum world. Secure your AI infrastructure today.

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Scarface, The Right Stuff, and Star Wars: Episode VI- Return of the Jedi are all among the best movies from 1983 that can all ...

Earlier, Kamath highlighted a massive shift in the tech landscape: Large Language Models (LLMs) have evolved from “hallucinating" random text in 2023 to gaining the approval of Linus Torvalds in 2026.

Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.