Browsing: agents

NVIDIA has released VIBETENSOR, an open-source research system software stack for deep learning. VIBETENSOR is generated by LLM-powered coding agents under high-level human guidance. The system…

While we were all worried about AI taking over human jobs, artificial intelligence leaped across the length of our imagination and took a seat at the…

Apple is building OpenAI and Anthropic’s AI-powered coding agents directly into Xcode. New integrations in Xcode 26.3 will give developers the ability to call upon Anthropic’s…

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment,…

Building production-ready AI agents requires careful planning and execution across the entire development lifecycle. The difference between a prototype that impresses in a demo and an…

Apple has quietly turned Xcode, its venerable app-building machine, into an AI-driven software that can now harness agentic coding. Last year, the Cupertino giant added basic…

Qwen team has just released Qwen3-Coder-Next, an open-weight language model designed for coding agents and local development. It sits on top of the Qwen3-Next-80B-A3B backbone. The…

Cross-Country skier Jessie Diggins of Afton, Minnesota celebrates with a flag during the Beijing 2022 Winter Olympic Games. Matthias Hangst/Getty Images AsiaPac hide caption toggle caption…

AI models have spawned AI agents capable of acting semi-autonomously. Now, a new Reddit-style forum called Moltbook has been set up for them to talk to…

def openai_chat(system: str, user: str) -> str: resp = client.chat.completions.create( model=OPENAI_MODEL, messages=[ “ep_id”: eid, “score”: sc, “outcome”: e.outcome_score, “task”: e.task[:140], “lessons”: ” , “ep_id”: eid, “score”:…