After more than two years of public fretting over AI models as future threats to human civilization or the seedlings of ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Patronus AI unveiled “Generative Simulators,” adaptive “practice worlds” that replace static benchmarks with dynamic reinforcement-learning environments to train more reliable AI agents for complex, ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

When a blog post by Andrej Karpathy lands in your feed, you pay close attention, simply because few voices in the field of ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

OpenAI says prompt injections will always be a risk for AI browsers with agentic capabilities, like Atlas. But the firm is ...