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.

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

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, ...

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

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

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

The newest of technologies defeated by one of the oldest human arts: poetry. This is what a group of Italian researchers and ...

Eclipse Labs is a scaling solution for the Ethereum blockchain. Somani founded and led Eclipse through its Series A, raising ...

In an effort to teach self-management to students identified as impulsive, Meichenbaum found that he could help students control and manage their impulsive behaviors.

AI guys love talking about “vibes.” There’s “vibe coding,” a term coined by OpenAI co-founder Andrej Karpathy to describe ...