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 ...

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

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

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 bots told to act as trading agents in simulated markets engaged in pervasive collusion, raising new questions about how ...

Most recently, successful, more transparent AI language models came from Chinese developers. With Nemotron 3 Nano, Nvidia is ...

Artificial intelligence systems absorb values from their training data. The trouble is that values differ across cultures. So an AI system trained on ...