Turns out, my old Python assignments had plenty left to teach me.

Researchers have developed pylibs-stats, an open-source Python library that analyzes per-pixel feature distributions in laser ...

Semgrep Mandoline gives AI agents fast program analysis across 50 languages, so they spend tokens reasoning about code ...

Machine learning is often used to predict future values from data. But what if, instead of just predictions, you could ...

You might want to create your own game on a small screen like an old game console. However, some people may feel that "game ...

do-math is a multi-agent management system that provides governance for autonomous mathematical research. It consists of instruction documents that direct agent behavior and a Python program, the ...

From better prompts to smarter use of memory, a few simple changes can help you get more out of ChatGPT, Claude, and other AI ...

Learn why coordinate clamping differs from global gradient norm clipping, with a complete Python implementation, numerical examples and boundary tests.

A six-stage hybrid preprocessing framework combining classical filters with neural autoencoders enhances scalp ...

In the strongest example of "weight space programming", as the technique is called, Astra’s intervention raised Qwen3.5-0.8B’s MATH-500 score from 7.9% to 48.1% while touching approximately 0.016% of ...

GPT-6 Astra edited Qwen’s weights and raised MATH-500 from 7.9% to 48.1% in author-run tests. How weight-space programming works—and its limits.

KubeRay provides an open-source, Kubernetes-native operator that manages the complete lifecycle of Ray clusters, jobs, and ...