How I set OpenAI API usage limits to stop agent overspending and other AI billing nightmares

OpenAI API costs can spiral when agents run wild. Here's how to set spend limits, enable hard caps, and avoid surprise AI ...
Tech Times

Karpathy CLAUDE.md Grows to Ten Rules: New Self-Check Protocol for AI Coding Loops

Karpathy CLAUDE.md ten rules: a document attributed to Andrej Karpathy began circulating Friday, adding six agent self-check ...
GitHub

Hy 2 DL: Hydrological modeling using Deep Learning methods

Hy 2 DL is a python library to create hydrological models for rainfall-runoff prediction using deep learning methods. The repository includes implementations with Large-Sample Hydrology datasets such ...
Tech Times

Open-Source Coding Model Ornith-1.0 Writes Its Own Training Scaffold in Reinforcement Learning

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...
IEEE

GAME-RL: Generating Adversarial Malware Examples Against API Call Based Detection via Reinforcement Learning

Abstract: The adversarial example presents new security threats to trustworthy detection systems. In the context of evading dynamic detection based on API call sequences, a practical approach involves ...
GitHub

Model Context Protocol servers

This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources. Important If you are ...